Everly, Marcee C
2013-02-01
To report the transformation from lecture to more active learning methods in a maternity nursing course and to evaluate whether student perception of improved learning through active-learning methods is supported by improved test scores. The process of transforming a course into an active-learning model of teaching is described. A voluntary mid-semester survey for student acceptance of the new teaching method was conducted. Course examination results, from both a standardized exam and a cumulative final exam, among students who received lecture in the classroom and students who had active learning activities in the classroom were compared. Active learning activities were very acceptable to students. The majority of students reported learning more from having active-learning activities in the classroom rather than lecture-only and this belief was supported by improved test scores. Students who had active learning activities in the classroom scored significantly higher on a standardized assessment test than students who received lecture only. The findings support the use of student reflection to evaluate the effectiveness of active-learning methods and help validate the use of student reflection of improved learning in other research projects. Copyright © 2011 Elsevier Ltd. All rights reserved.
Characterizing Engineering Learners' Preferences for Active and Passive Learning Methods
ERIC Educational Resources Information Center
Magana, Alejandra J.; Vieira, Camilo; Boutin, Mireille
2018-01-01
This paper studies electrical engineering learners' preferences for learning methods with various degrees of activity. Less active learning methods such as homework and peer reviews are investigated, as well as a newly introduced very active (constructive) learning method called "slectures," and some others. The results suggest that…
Comparing team-based and mixed active-learning methods in an ambulatory care elective course.
Zingone, Michelle M; Franks, Andrea S; Guirguis, Alexander B; George, Christa M; Howard-Thompson, Amanda; Heidel, Robert E
2010-11-10
To assess students' performance and perceptions of team-based and mixed active-learning methods in 2 ambulatory care elective courses, and to describe faculty members' perceptions of team-based learning. Using the 2 teaching methods, students' grades were compared. Students' perceptions were assessed through 2 anonymous course evaluation instruments. Faculty members who taught courses using the team-based learning method were surveyed regarding their impressions of team-based learning. The ambulatory care course was offered to 64 students using team-based learning (n = 37) and mixed active learning (n = 27) formats. The mean quality points earned were 3.7 (team-based learning) and 3.3 (mixed active learning), p < 0.001. Course evaluations for both courses were favorable. All faculty members who used the team-based learning method reported that they would consider using team-based learning in another course. Students were satisfied with both teaching methods; however, student grades were significantly higher in the team-based learning course. Faculty members recognized team-based learning as an effective teaching strategy for small-group active learning.
Graduate Faculty Perceptions of Experiential Learning Activities in Multicultural Classrooms
ERIC Educational Resources Information Center
Su, Yu-Han
2012-01-01
Current graduate programs employ many effective teaching methods. One of these methods, using experiential learning activities (Lee & Caffarella, 1994) in class, includes the subcomponents of cooperative learning, self-directed learning, and active learning. While these methods are commonly used, not much scholarly literature has examined the…
Resource Letter ALIP-1: Active-Learning Instruction in Physics
NASA Astrophysics Data System (ADS)
Meltzer, David E.; Thornton, Ronald K.
2012-06-01
This Resource Letter provides a guide to the literature on research-based active-learning instruction in physics. These are instructional methods that are based on, assessed by, and validated through research on the teaching and learning of physics. They involve students in their own learning more deeply and more intensely than does traditional instruction, particularly during class time. The instructional methods and supporting body of research reviewed here offer potential for significantly improved learning in comparison to traditional lecture-based methods of college and university physics instruction. We begin with an introduction to the history of active learning in physics in the United States, and then discuss some methods for and outcomes of assessing pedagogical effectiveness. We enumerate and describe common characteristics of successful active-learning instructional strategies in physics. We then discuss a range of methods for introducing active-learning instruction in physics and provide references to those methods for which there is published documentation of student learning gains.
Active learning methods for interactive image retrieval.
Gosselin, Philippe Henri; Cord, Matthieu
2008-07-01
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensions are now being proposed to handle multimedia applications. This paper provides algorithms within a statistical framework to extend active learning for online content-based image retrieval (CBIR). The classification framework is presented with experiments to compare several powerful classification techniques in this information retrieval context. Focusing on interactive methods, active learning strategy is then described. The limitations of this approach for CBIR are emphasized before presenting our new active selection process RETIN. First, as any active method is sensitive to the boundary estimation between classes, the RETIN strategy carries out a boundary correction to make the retrieval process more robust. Second, the criterion of generalization error to optimize the active learning selection is modified to better represent the CBIR objective of database ranking. Third, a batch processing of images is proposed. Our strategy leads to a fast and efficient active learning scheme to retrieve sets of online images (query concept). Experiments on large databases show that the RETIN method performs well in comparison to several other active strategies.
Generalized query-based active learning to identify differentially methylated regions in DNA.
Haque, Md Muksitul; Holder, Lawrence B; Skinner, Michael K; Cook, Diane J
2013-01-01
Active learning is a supervised learning technique that reduces the number of examples required for building a successful classifier, because it can choose the data it learns from. This technique holds promise for many biological domains in which classified examples are expensive and time-consuming to obtain. Most traditional active learning methods ask very specific queries to the Oracle (e.g., a human expert) to label an unlabeled example. The example may consist of numerous features, many of which are irrelevant. Removing such features will create a shorter query with only relevant features, and it will be easier for the Oracle to answer. We propose a generalized query-based active learning (GQAL) approach that constructs generalized queries based on multiple instances. By constructing appropriately generalized queries, we can achieve higher accuracy compared to traditional active learning methods. We apply our active learning method to find differentially DNA methylated regions (DMRs). DMRs are DNA locations in the genome that are known to be involved in tissue differentiation, epigenetic regulation, and disease. We also apply our method on 13 other data sets and show that our method is better than another popular active learning technique.
Tracking Active Learning in the Medical School Curriculum: A Learning-Centered Approach
McCoy, Lise; Pettit, Robin K; Kellar, Charlyn; Morgan, Christine
2018-01-01
Background: Medical education is moving toward active learning during large group lecture sessions. This study investigated the saturation and breadth of active learning techniques implemented in first year medical school large group sessions. Methods: Data collection involved retrospective curriculum review and semistructured interviews with 20 faculty. The authors piloted a taxonomy of active learning techniques and mapped learning techniques to attributes of learning-centered instruction. Results: Faculty implemented 25 different active learning techniques over the course of 9 first year courses. Of 646 hours of large group instruction, 476 (74%) involved at least 1 active learning component. Conclusions: The frequency and variety of active learning components integrated throughout the year 1 curriculum reflect faculty familiarity with active learning methods and their support of an active learning culture. This project has sparked reflection on teaching practices and facilitated an evolution from teacher-centered to learning-centered instruction. PMID:29707649
Actively Teaching Research Methods with a Process Oriented Guided Inquiry Learning Approach
ERIC Educational Resources Information Center
Mullins, Mary H.
2017-01-01
Active learning approaches have shown to improve student learning outcomes and improve the experience of students in the classroom. This article compares a Process Oriented Guided Inquiry Learning style approach to a more traditional teaching method in an undergraduate research methods course. Moving from a more traditional learning environment to…
Gim, Suzanna
2013-01-01
Objectives. To determine which teaching method in a drug-induced diseases and clinical toxicology course was preferred by students and whether their preference correlated with their learning of drug-induced diseases. Design. Three teaching methods incorporating active-learning exercises were implemented. A survey instrument was developed to analyze students’ perceptions of the active-learning methods used and how they compared to the traditional teaching method (lecture). Examination performance was then correlated to students’ perceptions of various teaching methods. Assessment. The majority of the 107 students who responded to the survey found traditional lecture significantly more helpful than active-learning methods (p=0.01 for all comparisons). None of the 3 active-learning methods were preferred over the others. No significant correlations were found between students’ survey responses and examination performance. Conclusions. Students preferred traditional lecture to other instructional methods. Learning was not influenced by the teaching method or by preference for a teaching method. PMID:23966726
They do, They Get and They Know; How to Motivate Learner to Upgrade Their Learning Quality
NASA Astrophysics Data System (ADS)
Yogica, R.; Helendra, H.
2018-04-01
A learning process that occurs in the classroom is a very important thing to note the quality, so it can be a determinant of student success in understanding the content of the lesson. The success of the learning process could be seen from the learning outcomes and the level of positive activities of students while in class. Students who are active in the classroom at the time of learning happen mean interest to the content of the lesson and will make their understanding deeper. In some learning processes in the classroom, the authors observed that in the first weeks of learning the level of student activity was very low. This is due to low student learning motivation. The author applies a method named: they do, they get, and they know. This method is very influential on the increase of learning activities because it affects the psychology of students to improve their learning motivation. After study in this method at two different courses in university, authors make a conclusion in the end that the method is effective to increase the frequency of student positive activity, so this method plays a role in improving the quality of learning.
Johnson, Heather A.; Barrett, Laura
2017-01-01
Objective The purpose of this study was to compare two pedagogical methods, active learning and passive instruction, to determine which is more useful in helping students to achieve the learning outcomes in a one-hour research skills instructional session. Methods Two groups of high school students attended an instructional session to learn about consumer health resources and strategies to enhance their searching skills. The first group received passive instruction, and the second engaged in active learning. We assessed both groups’ learning using 2 methods with differing complexity. A total of 59 students attended the instructional sessions (passive instruction, n=28; active learning, n=31). Results We found that the active learning group scored more favorably in four assessment categories. Conclusions Active learning may help students engage with and develop a meaningful understanding of several resources in a single session. Moreover, when using a complex teaching strategy, librarians should be mindful to gauge learning using an equally complex assessment method. PMID:28096745
ERIC Educational Resources Information Center
Cameron, Leanne
2017-01-01
This paper reports on the learning designs, teaching methods and activities most commonly employed within the disciplines in six universities in Australia. The study sought to establish if there were significant differences between the disciplines in learning designs, teaching methods and teaching activities in the current Australian context, as…
A Qualitative Research on Active Learning Practices in Pre-School Education
ERIC Educational Resources Information Center
Pekdogan, Serpil; Kanak, Mehmet
2016-01-01
In educational environments prepared based on the active learning method, children learn with interest and pleasure, doing and experiencing, and directly through their own experiences. Considering the contributions of the active learning method and the educational environments designed based on it to children's development, it can be said that…
"Learning by Doing": A Teaching Method for Active Learning in Scientific Graduate Education
ERIC Educational Resources Information Center
Bot, Ludovic; Gossiaux, Pol-Bernard; Rauch, Carl-Philippe; Tabiou, Safouana
2005-01-01
This article describes an active learning method for the teaching of physical sciences and mathematics to engineers. After defining the challenges involved in the training of engineers, we shall describe the answers provided by our method, "learning by doing" (named "Apprentissage Par l"Action" in French), by introducing…
Han, Xu; Kim, Jung-jae; Kwoh, Chee Keong
2016-01-01
Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled data, which are required for state-of-the-art supervised learning systems. Active learning is to choose the most informative documents for the supervised learning in order to reduce the amount of required manual annotations. Previous works of active learning, however, focused on the tasks of entity recognition and protein-protein interactions, but not on event extraction tasks for multiple event types. They also did not consider the evidence of event participants, which might be a clue for the presence of events in unlabeled documents. Moreover, the confidence scores of events produced by event extraction systems are not reliable for ranking documents in terms of informativity for supervised learning. We here propose a novel committee-based active learning method that supports multi-event extraction tasks and employs a new statistical method for informativity estimation instead of using the confidence scores from event extraction systems. Our method is based on a committee of two systems as follows: We first employ an event extraction system to filter potential false negatives among unlabeled documents, from which the system does not extract any event. We then develop a statistical method to rank the potential false negatives of unlabeled documents 1) by using a language model that measures the probabilities of the expression of multiple events in documents and 2) by using a named entity recognition system that locates the named entities that can be event arguments (e.g. proteins). The proposed method further deals with unknown words in test data by using word similarity measures. We also apply our active learning method for the task of named entity recognition. We evaluate the proposed method against the BioNLP Shared Tasks datasets, and show that our method can achieve better performance than such previous methods as entropy and Gibbs error based methods and a conventional committee-based method. We also show that the incorporation of named entity recognition into the active learning for event extraction and the unknown word handling further improve the active learning method. In addition, the adaptation of the active learning method into named entity recognition tasks also improves the document selection for manual annotation of named entities.
ERIC Educational Resources Information Center
Andiema, Nelly C.
2016-01-01
Despite many research studies showing the effectiveness of teacher application of child-centered learning in different educational settings, few studies have focused on teaching and learning activities in Pre-Schools. This research investigates the effect of child centered methods on teaching and learning of science activities in preschools in…
Semantic-gap-oriented active learning for multilabel image annotation.
Tang, Jinhui; Zha, Zheng-Jun; Tao, Dacheng; Chua, Tat-Seng
2012-04-01
User interaction is an effective way to handle the semantic gap problem in image annotation. To minimize user effort in the interactions, many active learning methods were proposed. These methods treat the semantic concepts individually or correlatively. However, they still neglect the key motivation of user feedback: to tackle the semantic gap. The size of the semantic gap of each concept is an important factor that affects the performance of user feedback. User should pay more efforts to the concepts with large semantic gaps, and vice versa. In this paper, we propose a semantic-gap-oriented active learning method, which incorporates the semantic gap measure into the information-minimization-based sample selection strategy. The basic learning model used in the active learning framework is an extended multilabel version of the sparse-graph-based semisupervised learning method that incorporates the semantic correlation. Extensive experiments conducted on two benchmark image data sets demonstrated the importance of bringing the semantic gap measure into the active learning process.
Feasibility of Active Machine Learning for Multiclass Compound Classification.
Lang, Tobias; Flachsenberg, Florian; von Luxburg, Ulrike; Rarey, Matthias
2016-01-25
A common task in the hit-to-lead process is classifying sets of compounds into multiple, usually structural classes, which build the groundwork for subsequent SAR studies. Machine learning techniques can be used to automate this process by learning classification models from training compounds of each class. Gathering class information for compounds can be cost-intensive as the required data needs to be provided by human experts or experiments. This paper studies whether active machine learning can be used to reduce the required number of training compounds. Active learning is a machine learning method which processes class label data in an iterative fashion. It has gained much attention in a broad range of application areas. In this paper, an active learning method for multiclass compound classification is proposed. This method selects informative training compounds so as to optimally support the learning progress. The combination with human feedback leads to a semiautomated interactive multiclass classification procedure. This method was investigated empirically on 15 compound classification tasks containing 86-2870 compounds in 3-38 classes. The empirical results show that active learning can solve these classification tasks using 10-80% of the data which would be necessary for standard learning techniques.
[Introduction of active learning and student readership in teaching by the pharmaceutical faculty].
Sekiguchi, Masaki; Yamato, Ippei; Kato, Tetsuta; Torigoe, Kojyun
2005-07-01
We have introduced improvements and new approaches into our teaching methods by exploiting 4 active learning methods for pharmacy students of first year. The 4 teaching methods for each lesson or take home assignment are follows: 1) problem-based learning (clinical case) including a student presentation of the clinical case, 2) schematic drawings of the human organs, one drawing done in 15-20 min during the week following a lecture and a second drawing done with reference to a professional textbook, 3) learning of professional themes in take home assignments, and 4) short test in order to confirm the understanding of technical terms by using paper or computer. These improvements and new methods provide active approaches for pharmacy students (as opposed to passive memorization of words and image study). In combination, they have proven to be useful as a learning method to acquire expert knowledge and to convert from passive learning approach to active learning approach of pharmacy students in the classroom.
Deep imitation learning for 3D navigation tasks.
Hussein, Ahmed; Elyan, Eyad; Gaber, Mohamed Medhat; Jayne, Chrisina
2018-01-01
Deep learning techniques have shown success in learning from raw high-dimensional data in various applications. While deep reinforcement learning is recently gaining popularity as a method to train intelligent agents, utilizing deep learning in imitation learning has been scarcely explored. Imitation learning can be an efficient method to teach intelligent agents by providing a set of demonstrations to learn from. However, generalizing to situations that are not represented in the demonstrations can be challenging, especially in 3D environments. In this paper, we propose a deep imitation learning method to learn navigation tasks from demonstrations in a 3D environment. The supervised policy is refined using active learning in order to generalize to unseen situations. This approach is compared to two popular deep reinforcement learning techniques: deep-Q-networks and Asynchronous actor-critic (A3C). The proposed method as well as the reinforcement learning methods employ deep convolutional neural networks and learn directly from raw visual input. Methods for combining learning from demonstrations and experience are also investigated. This combination aims to join the generalization ability of learning by experience with the efficiency of learning by imitation. The proposed methods are evaluated on 4 navigation tasks in a 3D simulated environment. Navigation tasks are a typical problem that is relevant to many real applications. They pose the challenge of requiring demonstrations of long trajectories to reach the target and only providing delayed rewards (usually terminal) to the agent. The experiments show that the proposed method can successfully learn navigation tasks from raw visual input while learning from experience methods fail to learn an effective policy. Moreover, it is shown that active learning can significantly improve the performance of the initially learned policy using a small number of active samples.
Johnson, Heather A; Barrett, Laura
2017-01-01
The purpose of this study was to compare two pedagogical methods, active learning and passive instruction, to determine which is more useful in helping students to achieve the learning outcomes in a one-hour research skills instructional session. Two groups of high school students attended an instructional session to learn about consumer health resources and strategies to enhance their searching skills. The first group received passive instruction, and the second engaged in active learning. We assessed both groups' learning using 2 methods with differing complexity. A total of 59 students attended the instructional sessions (passive instruction, n=28; active learning, n=31). We found that the active learning group scored more favorably in four assessment categories. Active learning may help students engage with and develop a meaningful understanding of several resources in a single session. Moreover, when using a complex teaching strategy, librarians should be mindful to gauge learning using an equally complex assessment method.
ERIC Educational Resources Information Center
Priyono
2018-01-01
The research aims to find the differences in students' learning results by implementing both PAIKEM (Active, Innovative, Creative, Effective, and Exciting Learning) and conventional learning methods for students with high and low motivation. This research used experimental design on two groups, a group of high motivation students and a group of…
Applying Active Learning to Assertion Classification of Concepts in Clinical Text
Chen, Yukun; Mani, Subramani; Xu, Hua
2012-01-01
Supervised machine learning methods for clinical natural language processing (NLP) research require a large number of annotated samples, which are very expensive to build because of the involvement of physicians. Active learning, an approach that actively samples from a large pool, provides an alternative solution. Its major goal in classification is to reduce the annotation effort while maintaining the quality of the predictive model. However, few studies have investigated its uses in clinical NLP. This paper reports an application of active learning to a clinical text classification task: to determine the assertion status of clinical concepts. The annotated corpus for the assertion classification task in the 2010 i2b2/VA Clinical NLP Challenge was used in this study. We implemented several existing and newly developed active learning algorithms and assessed their uses. The outcome is reported in the global ALC score, based on the Area under the average Learning Curve of the AUC (Area Under the Curve) score. Results showed that when the same number of annotated samples was used, active learning strategies could generate better classification models (best ALC – 0.7715) than the passive learning method (random sampling) (ALC – 0.7411). Moreover, to achieve the same classification performance, active learning strategies required fewer samples than the random sampling method. For example, to achieve an AUC of 0.79, the random sampling method used 32 samples, while our best active learning algorithm required only 12 samples, a reduction of 62.5% in manual annotation effort. PMID:22127105
An Innovative Teaching Method To Promote Active Learning: Team-Based Learning
NASA Astrophysics Data System (ADS)
Balasubramanian, R.
2007-12-01
Traditional teaching practice based on the textbook-whiteboard- lecture-homework-test paradigm is not very effective in helping students with diverse academic backgrounds achieve higher-order critical thinking skills such as analysis, synthesis, and evaluation. Consequently, there is a critical need for developing a new pedagogical approach to create a collaborative and interactive learning environment in which students with complementary academic backgrounds and learning skills can work together to enhance their learning outcomes. In this presentation, I will discuss an innovative teaching method ('Team-Based Learning (TBL)") which I recently developed at National University of Singapore to promote active learning among students in the environmental engineering program with learning abilities. I implemented this new educational activity in a graduate course. Student feedback indicates that this pedagogical approach is appealing to most students, and promotes active & interactive learning in class. Data will be presented to show that the innovative teaching method has contributed to improved student learning and achievement.
Manifold Regularized Experimental Design for Active Learning.
Zhang, Lining; Shum, Hubert P H; Shao, Ling
2016-12-02
Various machine learning and data mining tasks in classification require abundant data samples to be labeled for training. Conventional active learning methods aim at labeling the most informative samples for alleviating the labor of the user. Many previous studies in active learning select one sample after another in a greedy manner. However, this is not very effective because the classification models has to be retrained for each newly labeled sample. Moreover, many popular active learning approaches utilize the most uncertain samples by leveraging the classification hyperplane of the classifier, which is not appropriate since the classification hyperplane is inaccurate when the training data are small-sized. The problem of insufficient training data in real-world systems limits the potential applications of these approaches. This paper presents a novel method of active learning called manifold regularized experimental design (MRED), which can label multiple informative samples at one time for training. In addition, MRED gives an explicit geometric explanation for the selected samples to be labeled by the user. Different from existing active learning methods, our method avoids the intrinsic problems caused by insufficiently labeled samples in real-world applications. Various experiments on synthetic datasets, the Yale face database and the Corel image database have been carried out to show how MRED outperforms existing methods.
Blended learning in health education: three case studies.
de Jong, Nynke; Savin-Baden, Maggi; Cunningham, Anne Marie; Verstegen, Daniëlle M L
2014-09-01
Blended learning in which online education is combined with face-to-face education is especially useful for (future) health care professionals who need to keep up-to-date. Blended learning can make learning more efficient, for instance by removing barriers of time and distance. In the past distance-based learning activities have often been associated with traditional delivery-based methods, individual learning and limited contact. The central question in this paper is: can blended learning be active and collaborative? Three cases of blended, active and collaborative learning are presented. In case 1 a virtual classroom is used to realize online problem-based learning (PBL). In case 2 PBL cases are presented in Second Life, a 3D immersive virtual world. In case 3 discussion forums, blogs and wikis were used. In all cases face-to-face meetings were also organized. Evaluation results of the three cases clearly show that active, collaborative learning at a distance is possible. Blended learning enables the use of novel instructional methods and student-centred education. The three cases employ different educational methods, thus illustrating diverse possibilities and a variety of learning activities in blended learning. Interaction and communication rules, the role of the teacher, careful selection of collaboration tools and technical preparation should be considered when designing and implementing blended learning.
Active learning in capstone design courses.
Goldberg, Jay R
2012-01-01
There is a growing trend to encourage students to take a more active role in their own education. Many schools are moving away from the sage on the stage to the guide on the side model where the instructor is a facilitator of learning. In this model, the emphasis is more on learning and less on teaching, and it requires instructors to incorporate more active and student-centered learning methods into their courses. These methods include collaborative, cooperative, problem-based, and project-based learning.
An active role for machine learning in drug development
Murphy, Robert F.
2014-01-01
Due to the complexity of biological systems, cutting-edge machine-learning methods will be critical for future drug development. In particular, machine-vision methods to extract detailed information from imaging assays and active-learning methods to guide experimentation will be required to overcome the dimensionality problem in drug development. PMID:21587249
ERIC Educational Resources Information Center
Korkmaz Toklucu, Selma; Tay, Bayram
2016-01-01
Problem Statement: Many effective instructional strategies, methods, and techniques, which were developed in accordance with constructivist approach, can be used together in social studies lessons. Constructivist education comprises active learning processes. Two active learning approaches are cooperative learning and systematic teaching. Purpose…
NASA Astrophysics Data System (ADS)
Llorens, Ariadna; Berbegal-Mirabent, Jasmina; Llinàs-Audet, Xavier
2017-07-01
Engineering education is facing new challenges to effectively provide the appropriate skills to future engineering professionals according to market demands. This study proposes a model based on active learning methods, which is expected to facilitate the acquisition of the professional skills most highly valued in the information and communications technology (ICT) market. The theoretical foundations of the study are based on the specific literature on active learning methodologies. The Delphi method is used to establish the fit between learning methods and generic skills required by the ICT sector. An innovative proposition is therefore presented that groups the required skills in relation to the teaching method that best develops them. The qualitative research suggests that a combination of project-based learning and the learning contract is sufficient to ensure a satisfactory skills level for this profile of engineers.
The Effects of Mobile Natural-Science Learning Based on the 5E Learning Cycle: A Case Study
ERIC Educational Resources Information Center
Liu, Tzu-Chien; Peng, Hsinyi; Wu, Wen-Hsuan; Lin, Ming-Sheng
2009-01-01
This study has three major purposes, including designing mobile natural-science learning activities that rest on the 5E Learning Cycle, examining the effects of these learning activities on students' performances of learning aquatic plants, and exploring students' perceptions toward these learning activities. A case-study method is utilized and…
A Scale Development for Teacher Competencies on Cooperative Learning Method
ERIC Educational Resources Information Center
Kocabas, Ayfer; Erbil, Deniz Gokce
2017-01-01
Cooperative learning method is a learning method studied both in Turkey and in the world for long years as an active learning method. Although cooperative learning method takes place in training programs, it cannot be implemented completely in the direction of its principles. The results of the researches point out that teachers have problems with…
A Novel Teaching Tool Combined With Active-Learning to Teach Antimicrobial Spectrum Activity.
MacDougall, Conan
2017-03-25
Objective. To design instructional methods that would promote long-term retention of knowledge of antimicrobial pharmacology, particularly the spectrum of activity for antimicrobial agents, in pharmacy students. Design. An active-learning approach was used to teach selected sessions in a required antimicrobial pharmacology course. Students were expected to review key concepts from the course reader prior to the in-class sessions. During class, brief concept reviews were followed by active-learning exercises, including a novel schematic method for learning antimicrobial spectrum of activity ("flower diagrams"). Assessment. At the beginning of the next quarter (approximately 10 weeks after the in-class sessions), 360 students (three yearly cohorts) completed a low-stakes multiple-choice examination on the concepts in antimicrobial spectrum of activity. When data for students was pooled across years, the mean number of correct items was 75.3% for the items that tested content delivered with the active-learning method vs 70.4% for items that tested content delivered via traditional lecture (mean difference 4.9%). Instructor ratings on student evaluations of the active-learning approach were high (mean scores 4.5-4.8 on a 5-point scale) and student comments were positive about the active-learning approach and flower diagrams. Conclusion. An active-learning approach led to modestly higher scores in a test of long-term retention of pharmacology knowledge and was well-received by students.
A Novel Teaching Tool Combined With Active-Learning to Teach Antimicrobial Spectrum Activity
2017-01-01
Objective. To design instructional methods that would promote long-term retention of knowledge of antimicrobial pharmacology, particularly the spectrum of activity for antimicrobial agents, in pharmacy students. Design. An active-learning approach was used to teach selected sessions in a required antimicrobial pharmacology course. Students were expected to review key concepts from the course reader prior to the in-class sessions. During class, brief concept reviews were followed by active-learning exercises, including a novel schematic method for learning antimicrobial spectrum of activity (“flower diagrams”). Assessment. At the beginning of the next quarter (approximately 10 weeks after the in-class sessions), 360 students (three yearly cohorts) completed a low-stakes multiple-choice examination on the concepts in antimicrobial spectrum of activity. When data for students was pooled across years, the mean number of correct items was 75.3% for the items that tested content delivered with the active-learning method vs 70.4% for items that tested content delivered via traditional lecture (mean difference 4.9%). Instructor ratings on student evaluations of the active-learning approach were high (mean scores 4.5-4.8 on a 5-point scale) and student comments were positive about the active-learning approach and flower diagrams. Conclusion. An active-learning approach led to modestly higher scores in a test of long-term retention of pharmacology knowledge and was well-received by students. PMID:28381885
ERIC Educational Resources Information Center
Bernot, Melody J.; Metzler, Jennifer
2014-01-01
Traditional lectures have come under increasing criticism as research indicates lectures may be less effective in achieving learning outcomes than other teaching methods. Student engagement and success can potentially be improved by changing traditional lectures to instructional methods using active learning techniques. Active learning refers to…
Active Learning Promoting Student Teachers' Professional Competences in Finland and Turkey
ERIC Educational Resources Information Center
Niemi, Hannele; Nevgi, Anne; Aksit, Fisun
2016-01-01
This study investigates student teachers' active learning experiences in teacher education (TE) in Finnish and Turkish contexts and attempts to determine how active learning methods' impact student teachers' professional competences. Student teachers (N = 728) assessed their active learning experiences and the professional competences they…
Implementing Collaborative Learning Methods in the Political Science Classroom
ERIC Educational Resources Information Center
Wolfe, Angela
2012-01-01
Collaborative learning is one, among other, active learning methods, widely acclaimed in higher education. Consequently, instructors in fields that lack pedagogical training often implement new learning methods such as collaborative learning on the basis of trial and error. Moreover, even though the benefits in academic circles are broadly touted,…
Diverse expected gradient active learning for relative attributes.
You, Xinge; Wang, Ruxin; Tao, Dacheng
2014-07-01
The use of relative attributes for semantic understanding of images and videos is a promising way to improve communication between humans and machines. However, it is extremely labor- and time-consuming to define multiple attributes for each instance in large amount of data. One option is to incorporate active learning, so that the informative samples can be actively discovered and then labeled. However, most existing active-learning methods select samples one at a time (serial mode), and may therefore lose efficiency when learning multiple attributes. In this paper, we propose a batch-mode active-learning method, called diverse expected gradient active learning. This method integrates an informativeness analysis and a diversity analysis to form a diverse batch of queries. Specifically, the informativeness analysis employs the expected pairwise gradient length as a measure of informativeness, while the diversity analysis forces a constraint on the proposed diverse gradient angle. Since simultaneous optimization of these two parts is intractable, we utilize a two-step procedure to obtain the diverse batch of queries. A heuristic method is also introduced to suppress imbalanced multiclass distributions. Empirical evaluations of three different databases demonstrate the effectiveness and efficiency of the proposed approach.
Diverse Expected Gradient Active Learning for Relative Attributes.
You, Xinge; Wang, Ruxin; Tao, Dacheng
2014-06-02
The use of relative attributes for semantic understanding of images and videos is a promising way to improve communication between humans and machines. However, it is extremely labor- and time-consuming to define multiple attributes for each instance in large amount of data. One option is to incorporate active learning, so that the informative samples can be actively discovered and then labeled. However, most existing active-learning methods select samples one at a time (serial mode), and may therefore lose efficiency when learning multiple attributes. In this paper, we propose a batch-mode active-learning method, called Diverse Expected Gradient Active Learning (DEGAL). This method integrates an informativeness analysis and a diversity analysis to form a diverse batch of queries. Specifically, the informativeness analysis employs the expected pairwise gradient length as a measure of informativeness, while the diversity analysis forces a constraint on the proposed diverse gradient angle. Since simultaneous optimization of these two parts is intractable, we utilize a two-step procedure to obtain the diverse batch of queries. A heuristic method is also introduced to suppress imbalanced multi-class distributions. Empirical evaluations of three different databases demonstrate the effectiveness and efficiency of the proposed approach.
ERIC Educational Resources Information Center
Duenk, Lester G.; Tuel, Charles
This learning activity package (LAP) on the insurance industry and the methods used to give protection to the insured is designed for student self-study. Following a list of learning objectives, the LAP contains a pretest (answer key provided at the back). Six learning activities follow. The learning activities cover the following material: terms…
ERIC Educational Resources Information Center
Muñoz-García, Miguel A.; Moreda, Guillermo P.; Hernández-Sánchez, Natalia; Valiño, Vanesa
2013-01-01
Active learning is one of the most efficient mechanisms for learning, according to the psychology of learning. When students act as teachers for other students, the communication is more fluent and knowledge is transferred easier than in a traditional classroom. This teaching method is referred to in the literature as reciprocal peer teaching. In…
Experience of cooperative learning in engineering
NASA Astrophysics Data System (ADS)
Maceiras, Rocio; Cancela, Angeles; Urréjola, Santiago; Sánchez, Angel
2011-03-01
The objective of this work is to share the authors' experience towards a different mode of teaching/learning method. Cooperative learning (Jigsaw) was employed on the University of Vigo's fourth-year engineering students. The results of the experience show that cooperative learning is quite a viable alternative to the classical way of lecturing at the university when the number of students is not too high. The authors' observation indicates that students did not show a lot of interest towards the new learning style but their resistance changed once they began the activity. The Jigsaw method has proved to be a useful tool for improving the learning process so that students have the opportunity to participate actively in the learning activities.
Group-Based Active Learning of Classification Models.
Luo, Zhipeng; Hauskrecht, Milos
2017-05-01
Learning of classification models from real-world data often requires additional human expert effort to annotate the data. However, this process can be rather costly and finding ways of reducing the human annotation effort is critical for this task. The objective of this paper is to develop and study new ways of providing human feedback for efficient learning of classification models by labeling groups of examples. Briefly, unlike traditional active learning methods that seek feedback on individual examples, we develop a new group-based active learning framework that solicits label information on groups of multiple examples. In order to describe groups in a user-friendly way, conjunctive patterns are used to compactly represent groups. Our empirical study on 12 UCI data sets demonstrates the advantages and superiority of our approach over both classic instance-based active learning work, as well as existing group-based active-learning methods.
Nasr, Rihab; Antoun, Jumana; Sabra, Ramzi; Zgheib, Nathalie K
2016-01-01
There has been a pedagogic shift in higher education from the traditional teacher centered to the student centered approach in teaching, necessitating a change in the role of the teacher from a supplier of information to passive receptive students into a more facilitative role. Active learning activities are based on various learning theories such as self-directed learning, cooperative learning and adult learning. There exist many instructional activities that enhance active and collaborative learning. The aim of this manuscript is to describe two methods of interactive and collaborative learning in the classroom, automated response systems (ARS) and team-based learning (TBL), and to list some of their applications and advantages. The success of these innovative teaching and learning methods at a large scale depends on few elements, probably the most important of which is the support of the higher administration and leadership in addition to the availability of “champions” who are committed to lead the change.
Tracking Active Learning in the Medical School Curriculum: A Learning-Centered Approach.
McCoy, Lise; Pettit, Robin K; Kellar, Charlyn; Morgan, Christine
2018-01-01
Medical education is moving toward active learning during large group lecture sessions. This study investigated the saturation and breadth of active learning techniques implemented in first year medical school large group sessions. Data collection involved retrospective curriculum review and semistructured interviews with 20 faculty. The authors piloted a taxonomy of active learning techniques and mapped learning techniques to attributes of learning-centered instruction. Faculty implemented 25 different active learning techniques over the course of 9 first year courses. Of 646 hours of large group instruction, 476 (74%) involved at least 1 active learning component. The frequency and variety of active learning components integrated throughout the year 1 curriculum reflect faculty familiarity with active learning methods and their support of an active learning culture. This project has sparked reflection on teaching practices and facilitated an evolution from teacher-centered to learning-centered instruction.
Assessing Student Behaviors and Motivation for Actively Learning Biology
ERIC Educational Resources Information Center
Moore, Michael Edward
2017-01-01
Vision and Change states that one of the major changes in the way we design biology courses should be a switch in approach from teacher-centered learning to student-centered learning and identifies active learning as a recommended methods. Studies show performance benefits for students taking courses that use active learning. What is unknown is…
Successful Application of Active Learning Techniques to Introductory Microbiology.
ERIC Educational Resources Information Center
Hoffman, Elizabeth A.
2001-01-01
Points out the low student achievement in microbiology courses and presents an active learning method applied in an introductory microbiology course which features daily quizzes, cooperative learning activities, and group projects. (Contains 30 references.) (YDS)
Cavity approach to noisy learning in nonlinear perceptrons.
Luo, P; Michael Wong, K Y
2001-12-01
We analyze the learning of noisy teacher-generated examples by nonlinear and differentiable student perceptrons using the cavity method. The generic activation of an example is a function of the cavity activation of the example, which is its activation in the perceptron that learns without the example. Mean-field equations for the macroscopic parameters and the stability condition yield results consistent with the replica method. When a single value of the cavity activation maps to multiple values of the generic activation, there is a competition in learning strategy between preferentially learning an example and sacrificing it in favor of the background adjustment. We find parameter regimes in which examples are learned preferentially or sacrificially, leading to a gap in the activation distribution. Full phase diagrams of this complex system are presented, and the theory predicts the existence of a phase transition from poor to good generalization states in the system. Simulation results confirm the theoretical predictions.
Research on Mobile Learning Activities Applying Tablets
ERIC Educational Resources Information Center
Kurilovas, Eugenijus; Juskeviciene, Anita; Bireniene, Virginija
2015-01-01
The paper aims to present current research on mobile learning activities in Lithuania while implementing flagship EU-funded CCL project on application of tablet computers in education. In the paper, the quality of modern mobile learning activities based on learning personalisation, problem solving, collaboration, and flipped class methods is…
Attitudes of Face-to-Face and E-Learning Instructors toward "Active Learning"
ERIC Educational Resources Information Center
Pundak, David; Herscovitz, Orit; Shacham, Miri
2010-01-01
Instruction in higher education has developed significantly over the past two decades, influenced by two trends: promotion of active learning methods and integration of web technology in e-Learning. Many studies found that active teaching improves students' success, involvement and thinking skills. Nevertheless, internationally, most instructors…
Examination of Pre-Service Science Teachers' Activities Using Problem Based Learning Method
ERIC Educational Resources Information Center
Ekici, Didem Inel
2016-01-01
In this study, both the activities prepared by pre-service science teachers regarding the Problem Based Learning method and the pre-service science teachers' views regarding the method were examined before and after applying their activities in a real class environment. 69 pre-service science teachers studying in the 4th grade of the science…
ERIC Educational Resources Information Center
Harlow, Lisa L.; Burkholder, Gary J.; Morrow, Jennifer A.
2002-01-01
Used a structural modeling approach to evaluate relations among attitudes, initial skills, and performance in a Quantitative Methods course that involved students in active learning. Results largely confirmed hypotheses offering support for educational reform efforts that propose actively involving students in the learning process, especially in…
Implementing Collaborative Learning across the Engineering Curriculum
ERIC Educational Resources Information Center
Ralston, Patricia A. S.; Tretter, Thomas R.; Kendall-Brown, Marie
2017-01-01
Active and collaborative teaching methods increase student learning, and it is broadly accepted that almost any active or collaborative approach will improve learning outcomes as compared to lecture. Yet, large numbers of faculty have not embraced these methods. Thus, the challenge to encourage evidence-based change in teaching is not only how to…
Introduction of active learning method in learning physiology by MBBS students.
Gilkar, Suhail Ahmad; Lone, Shabiruddin; Lone, Riyaz Ahmad
2016-01-01
Active learning has received considerable attention over the past several years, often presented or perceived as a radical change from traditional instruction methods. Current research on learning indicates that using a variety of teaching strategies in the classroom increases student participation and learning. To introduce active learning methodology, i.e., "jigsaw technique" in undergraduate medical education and assess the student and faculty response to it. This study was carried out in the Department of Physiology in a Medical College of North India. A topic was chosen and taught using one of the active learning methods (ALMs), i.e., jigsaw technique. An instrument (questionnaire) was developed in English through an extensive review of literature and was properly validated. The students were asked to give their response on a five-point Likert scale. The feedback was kept anonymous. Faculty also provided their feedback in a separately provided feedback proforma. The data were collected, compiled, and analyzed. Of 150 students of MBBS-first year batch 2014, 142 participated in this study along with 14 faculty members of the Physiology Department. The majority of the students (>90%) did welcome the introduction of ALM and strongly recommended the use of such methods in teaching many more topics in future. 100% faculty members were of the opinion that many more topics shall be taken up using ALMs. This study establishes the fact that both the medical students and faculty want a change from the traditional way of passive, teacher-centric learning, to the more active teaching-learning techniques.
A Tool for Measuring Active Learning in the Classroom
Devlin, John W.; Kirwin, Jennifer L.; Qualters, Donna M.
2007-01-01
Objectives To develop a valid and reliable active-learning inventory tool for use in large classrooms and compare faculty perceptions of active-learning using the Active-Learning Inventory Tool. Methods The Active-Learning Inventory Tool was developed using published literature and validated by national experts in educational research. Reliability was established by trained faculty members who used the Active-Learning Inventory Tool to observe 9 pharmacy lectures. Instructors were then interviewed to elicit perceptions regarding active learning and asked to share their perceptions. Results Per lecture, 13 (range: 4-34) episodes of active learning encompassing 3 (range: 2-5) different types of active learning occurred over 2.2 minutes (0.6-16) per episode. Both interobserver (≥87%) and observer-instructor agreement (≥68%) were high for these outcomes. Conclusions The Active-Learning Inventory Tool is a valid and reliable tool to measure active learning in the classroom. Future studies are needed to determine the impact of the Active-Learning Inventory Tool on teaching and its usefulness in other disciplines. PMID:17998982
Stratman, Erik J; Vogel, Curt A; Reck, Samuel J; Mukesh, Bickol N
2008-01-01
There are different teaching styles for delivering competency-based curricula. The education literature suggests that learning is maximized when teaching is delivered in a style preferred by learners. To determine if dermatology residents report learning style preferences aligned with adult learning. Dermatology residents attending an introductory cutaneous biology course completed a learning styles inventory assessing self-reported success in 35 active and passive learning activities. The 35 learning activities were ranked in order of preference by learners. Mean overall ratings for active learning activities were significantly higher than for passive learning activities (P = 0.002). Trends in dermatology resident learning style preferences should be considered during program curriculum development. Programs should integrate a variety of curriculum delivery methods to accommodate various learning styles, with an emphasis on the active learning styles preferred by residents.
Evaluation of a Didactic Method for the Active Learning of Greedy Algorithms
ERIC Educational Resources Information Center
Esteban-Sánchez, Natalia; Pizarro, Celeste; Velázquez-Iturbide, J. Ángel
2014-01-01
An evaluation of the educational effectiveness of a didactic method for the active learning of greedy algorithms is presented. The didactic method sets students structured-inquiry challenges to be addressed with a specific experimental method, supported by the interactive system GreedEx. This didactic method has been refined over several years of…
Ma, Xiao H; Jia, Jia; Zhu, Feng; Xue, Ying; Li, Ze R; Chen, Yu Z
2009-05-01
Machine learning methods have been explored as ligand-based virtual screening tools for facilitating drug lead discovery. These methods predict compounds of specific pharmacodynamic, pharmacokinetic or toxicological properties based on their structure-derived structural and physicochemical properties. Increasing attention has been directed at these methods because of their capability in predicting compounds of diverse structures and complex structure-activity relationships without requiring the knowledge of target 3D structure. This article reviews current progresses in using machine learning methods for virtual screening of pharmacodynamically active compounds from large compound libraries, and analyzes and compares the reported performances of machine learning tools with those of structure-based and other ligand-based (such as pharmacophore and clustering) virtual screening methods. The feasibility to improve the performance of machine learning methods in screening large libraries is discussed.
ERIC Educational Resources Information Center
Pang, Katherine
2010-01-01
The purpose of this paper is to present a novel way to stimulate learning, creativity, and thinking based on a new understanding of activity-based learning (ABL) and two methods for developing metacognitive-based activities for the classroom. ABL, in this model, is based on the premise that teachers are distillers and facilitators of information…
Accelerated Learning: Madness with a Method.
ERIC Educational Resources Information Center
Zemke, Ron
1995-01-01
Accelerated learning methods have evolved into a variety of holistic techniques that involve participants in the learning process and overcome negative attitudes about learning. These components are part of the mix: the brain, learning environment, music, imaginative activities, suggestion, positive mental state, the arts, multiple intelligences,…
Teachers as Co-Designers of Technology-Rich Learning Activities for Early Literacy
ERIC Educational Resources Information Center
Cviko, Amina; McKenney, Susan; Voogt, Joke
2015-01-01
Although kindergarten teachers often struggle with implementing technology, they are rarely involved in co-designing technology-rich learning activities. This study involved teachers in the co-design of technology-rich learning activities and sought to explore implementation and pupil learning outcomes. A case-study method was used to investigate:…
Fault Diagnosis Based on Chemical Sensor Data with an Active Deep Neural Network
Jiang, Peng; Hu, Zhixin; Liu, Jun; Yu, Shanen; Wu, Feng
2016-01-01
Big sensor data provide significant potential for chemical fault diagnosis, which involves the baseline values of security, stability and reliability in chemical processes. A deep neural network (DNN) with novel active learning for inducing chemical fault diagnosis is presented in this study. It is a method using large amount of chemical sensor data, which is a combination of deep learning and active learning criterion to target the difficulty of consecutive fault diagnosis. DNN with deep architectures, instead of shallow ones, could be developed through deep learning to learn a suitable feature representation from raw sensor data in an unsupervised manner using stacked denoising auto-encoder (SDAE) and work through a layer-by-layer successive learning process. The features are added to the top Softmax regression layer to construct the discriminative fault characteristics for diagnosis in a supervised manner. Considering the expensive and time consuming labeling of sensor data in chemical applications, in contrast to the available methods, we employ a novel active learning criterion for the particularity of chemical processes, which is a combination of Best vs. Second Best criterion (BvSB) and a Lowest False Positive criterion (LFP), for further fine-tuning of diagnosis model in an active manner rather than passive manner. That is, we allow models to rank the most informative sensor data to be labeled for updating the DNN parameters during the interaction phase. The effectiveness of the proposed method is validated in two well-known industrial datasets. Results indicate that the proposed method can obtain superior diagnosis accuracy and provide significant performance improvement in accuracy and false positive rate with less labeled chemical sensor data by further active learning compared with existing methods. PMID:27754386
Fault Diagnosis Based on Chemical Sensor Data with an Active Deep Neural Network.
Jiang, Peng; Hu, Zhixin; Liu, Jun; Yu, Shanen; Wu, Feng
2016-10-13
Big sensor data provide significant potential for chemical fault diagnosis, which involves the baseline values of security, stability and reliability in chemical processes. A deep neural network (DNN) with novel active learning for inducing chemical fault diagnosis is presented in this study. It is a method using large amount of chemical sensor data, which is a combination of deep learning and active learning criterion to target the difficulty of consecutive fault diagnosis. DNN with deep architectures, instead of shallow ones, could be developed through deep learning to learn a suitable feature representation from raw sensor data in an unsupervised manner using stacked denoising auto-encoder (SDAE) and work through a layer-by-layer successive learning process. The features are added to the top Softmax regression layer to construct the discriminative fault characteristics for diagnosis in a supervised manner. Considering the expensive and time consuming labeling of sensor data in chemical applications, in contrast to the available methods, we employ a novel active learning criterion for the particularity of chemical processes, which is a combination of Best vs. Second Best criterion (BvSB) and a Lowest False Positive criterion (LFP), for further fine-tuning of diagnosis model in an active manner rather than passive manner. That is, we allow models to rank the most informative sensor data to be labeled for updating the DNN parameters during the interaction phase. The effectiveness of the proposed method is validated in two well-known industrial datasets. Results indicate that the proposed method can obtain superior diagnosis accuracy and provide significant performance improvement in accuracy and false positive rate with less labeled chemical sensor data by further active learning compared with existing methods.
The guided autobiography method: a learning experience.
Thornton, James E
2008-01-01
This article discusses the proposition that learning is an unexplored feature of the guided autobiography method and its developmental exchange. Learning, conceptualized and explored as the embedded and embodied processes, is essential in narrative activities of the guided autobiography method leading to psychosocial development and growth in dynamic, temporary social groups. The article is organized in four sections and summary. The first section provides a brief overview of the guided autobiography method describing the interplay of learning and experiencing in temporary social groups. The second section offers a limited review on learning and experiencing as processes that are essential for development, growth, and change. The third section reviews the small group activities and the emergence of the "developmental exchange" in the guided autobiography method. Two theoretical constructs provide a conceptual foundation for the developmental exchange: a counterpart theory of aging as development and collaborative-situated group learning theory. The summary recaps the main ideas and issues that shape the guided autobiography method as learning and social experience using the theme, "Where to go from here."
ERIC Educational Resources Information Center
Fabregat-Sanjuan, Albert; Pàmies-Vilà, Rosa; Ferrando Piera, Francesc; De la Flor López, Silvia
2017-01-01
This paper presents a blended-learning strategy for improving the teaching method applied in the laboratory subject Manufacturing Technologies. The teaching method has been changed from a predominantly teacher-centred to an active learning system with a student-centred focus and e-learning activities. In face-to-face classes, a game-based learning…
The Use of Problem-Based Learning Model to Improve Quality Learning Students Morals
ERIC Educational Resources Information Center
Nurzaman
2017-01-01
Model of moral cultivation in MTsN Bangunharja done using three methods, classical cultivation methods, extra-curricular activities in the form of religious activities, scouting, sports, and Islamic art, and habituation of morals. Problem base learning models in MTsN Bangunharja applied using the following steps: find the problem, define the…
Case study of a problem-based learning course of physics in a telecommunications engineering degree
NASA Astrophysics Data System (ADS)
Macho-Stadler, Erica; Jesús Elejalde-García, Maria
2013-08-01
Active learning methods can be appropriate in engineering, as their methodology promotes meta-cognition, independent learning and problem-solving skills. Problem-based learning is the educational process by which problem-solving activities and instructor's guidance facilitate learning. Its key characteristic involves posing a 'concrete problem' to initiate the learning process, generally implemented by small groups of students. Many universities have developed and used active methodologies successfully in the teaching-learning process. During the past few years, the University of the Basque Country has promoted the use of active methodologies through several teacher training programmes. In this paper, we describe and analyse the results of the educational experience using the problem-based learning (PBL) method in a physics course for undergraduates enrolled in the technical telecommunications engineering degree programme. From an instructors' perspective, PBL strengths include better student attitude in class and increased instructor-student and student-student interactions. The students emphasised developing teamwork and communication skills in a good learning atmosphere as positive aspects.
ERIC Educational Resources Information Center
Zayapragassarazan, Z.; Kumar, Santosh
2012-01-01
Present generation students are primarily active learners with varied learning experiences and lecture courses may not suit all their learning needs. Effective learning involves providing students with a sense of progress and control over their own learning. This requires creating a situation where learners have a chance to try out or test their…
Aparicio, Fernando; Morales-Botello, María Luz; Rubio, Margarita; Hernando, Asunción; Muñoz, Rafael; López-Fernández, Hugo; Glez-Peña, Daniel; Fdez-Riverola, Florentino; de la Villa, Manuel; Maña, Manuel; Gachet, Diego; Buenaga, Manuel de
2018-04-01
Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emerging disciplines such as 'educational data mining' and 'learning analytics and knowledge' have provided clear examples of the importance of the use of artificial intelligence techniques in education. The main objective of this study was to gather expert opinions regarding the benefits of using complementary methods that are supported by intelligent systems, specifically, by intelligent information access systems, when processing texts written in natural language and the benefits of using these methods as companion tools to the learning activities that are employed by biomedical and health sciences teachers. Eleven teachers of degree courses who belonged to the Faculties of Biomedical Sciences (BS) and Health Sciences (HS) of a Spanish university in Madrid were individually interviewed. These interviews were conducted using a mixed methods questionnaire that included 66 predefined close-ended and open-ended questions. In our study, three intelligent information access systems (i.e., BioAnnote, CLEiM and MedCMap) were successfully used to evaluate the teacher's perceptions regarding the utility of these systems and their different methods in learning activities. All teachers reported using active learning methods in the classroom, most of which were computer programs that were used for initially designing and later executing learning activities. All teachers used case-based learning methods in the classroom, with a specific emphasis on case reports written in Spanish and/or English. In general, few or none of the teachers were familiar with the technical terms related to the technologies used for these activities such as "intelligent systems" or "concept/mental maps". However, they clearly realized the potential applicability of such approaches in both the preparation and the effective use of these activities in the classroom. Specifically, the themes highlighted by a greater number of teachers after analyzing the responses to the open-ended questions were the usefulness of BioAnnote system to provide reliable sources of medical information and the usefulness of the bilingual nature of CLEiM system for learning medical terminology in English. Three intelligent information access systems were successfully used to evaluate the teacher's perceptions regarding the utility of these systems in learning activities. The results of this study showed that integration of reliable sources of information, bilingualism and selective annotation of concepts were the most valued features by the teachers, who also considered the incorporation of these systems into learning activities to be potentially very useful. In addition, in the context of our experimental conditions, our work provides useful insights into the way to appropriately integrate this type of intelligent information access systems into learning activities, revealing key themes to consider when developing such approaches. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.
Active Learning Strategies for Phenotypic Profiling of High-Content Screens.
Smith, Kevin; Horvath, Peter
2014-06-01
High-content screening is a powerful method to discover new drugs and carry out basic biological research. Increasingly, high-content screens have come to rely on supervised machine learning (SML) to perform automatic phenotypic classification as an essential step of the analysis. However, this comes at a cost, namely, the labeled examples required to train the predictive model. Classification performance increases with the number of labeled examples, and because labeling examples demands time from an expert, the training process represents a significant time investment. Active learning strategies attempt to overcome this bottleneck by presenting the most relevant examples to the annotator, thereby achieving high accuracy while minimizing the cost of obtaining labeled data. In this article, we investigate the impact of active learning on single-cell-based phenotype recognition, using data from three large-scale RNA interference high-content screens representing diverse phenotypic profiling problems. We consider several combinations of active learning strategies and popular SML methods. Our results show that active learning significantly reduces the time cost and can be used to reveal the same phenotypic targets identified using SML. We also identify combinations of active learning strategies and SML methods which perform better than others on the phenotypic profiling problems we studied. © 2014 Society for Laboratory Automation and Screening.
Active-Learning Processes Used in US Pharmacy Education
Brown, Stacy D.; Clavier, Cheri W.; Wyatt, Jarrett
2011-01-01
Objective To document the type and extent of active-learning techniques used in US colleges and schools of pharmacy as well as factors associated with use of these techniques. Methods A survey instrument was developed to assess whether and to what extent active learning was used by faculty members of US colleges and schools of pharmacy. This survey instrument was distributed via the American Association of Colleges of Pharmacy (AACP) mailing list. Results Ninety-five percent (114) of all US colleges and schools of pharmacy were represented with at least 1 survey among the 1179 responses received. Eighty-seven percent of respondents used active-learning techniques in their classroom activities. The heavier the teaching workload the more active-learning strategies were used. Other factors correlated with higher use of active-learning strategies included younger faculty member age (inverse relationship), lower faculty member rank (inverse relationship), and departments that focused on practice, clinical and social, behavioral, and/or administrative sciences. Conclusions Active learning has been embraced by pharmacy educators and is used to some extent by the majority of US colleges and schools of pharmacy. Future research should focus on how active-learning methods can be used most effectively within pharmacy education, how it can gain even broader acceptance throughout the academy, and how the effect of active learning on programmatic outcomes can be better documented. PMID:21769144
Active semi-supervised learning method with hybrid deep belief networks.
Zhou, Shusen; Chen, Qingcai; Wang, Xiaolong
2014-01-01
In this paper, we develop a novel semi-supervised learning algorithm called active hybrid deep belief networks (AHD), to address the semi-supervised sentiment classification problem with deep learning. First, we construct the previous several hidden layers using restricted Boltzmann machines (RBM), which can reduce the dimension and abstract the information of the reviews quickly. Second, we construct the following hidden layers using convolutional restricted Boltzmann machines (CRBM), which can abstract the information of reviews effectively. Third, the constructed deep architecture is fine-tuned by gradient-descent based supervised learning with an exponential loss function. Finally, active learning method is combined based on the proposed deep architecture. We did several experiments on five sentiment classification datasets, and show that AHD is competitive with previous semi-supervised learning algorithm. Experiments are also conducted to verify the effectiveness of our proposed method with different number of labeled reviews and unlabeled reviews respectively.
ERIC Educational Resources Information Center
Weltman, David; Whiteside, Mary
2010-01-01
This research shows that active learning is not universally effective and, in fact, may inhibit learning for certain types of students. The results of this study show that as increased levels of active learning are utilized, student test scores decrease for those with a high grade point average. In contrast, test scores increase as active learning…
Kalra, Ruchi; Modi, Jyoti Nath; Vyas, Rashmi
2015-01-01
Background: Lecture is a common traditional method for teaching, but it may not stimulate higher order thinking and students may also be hesitant to express and interact. The postgraduate (PG) students are less involved with undergraduate (UG) teaching. Team based small group active learning method can contribute to better learning experience. Aim: To-promote active learning skills among the UG students using small group teaching methods involving PG students as facilitators to impart hands-on supervised training in teaching and managerial skills. Methodology: After Institutional approval under faculty supervision 92 UGs and 8 PGs participated in 6 small group sessions utilizing the jigsaw technique. Feedback was collected from both. Observations: Undergraduate Feedback (Percentage of Students Agreed): Learning in small groups was a good experience as it helped in better understanding of the subject (72%), students explored multiple reading resources (79%), they were actively involved in self-learning (88%), students reported initial apprehension of performance (71%), identified their learning gaps (86%), team enhanced their learning process (71%), informal learning in place of lecture was a welcome change (86%), it improved their communication skills (82%), small group learning can be useful for future self-learning (75%). Postgraduate Feedback: Majority performed facilitation for first time, perceived their performance as good (75%), it was helpful in self-learning (100%), felt confident of managing students in small groups (100%), as facilitator they improved their teaching skills, found it more useful and better identified own learning gaps (87.5%). Conclusions: Learning in small groups adopting team based approach involving both UGs and PGs promoted active learning in both and enhanced the teaching skills of the PGs. PMID:26380201
'Not Hard to Sway': A Case Study of Student Engagement in Two Large Engineering Classes
ERIC Educational Resources Information Center
Shekhar, Prateek; Borrego, Maura
2018-01-01
Although engineering education research has empirically validated the effectiveness of active learning in improving student learning over traditional lecture-based methods, the adoption of active learning in classrooms has been slow. One of the greatest reported barriers is student resistance towards engagement in active learning exercises. This…
Applying active learning to supervised word sense disambiguation in MEDLINE
Chen, Yukun; Cao, Hongxin; Mei, Qiaozhu; Zheng, Kai; Xu, Hua
2013-01-01
Objectives This study was to assess whether active learning strategies can be integrated with supervised word sense disambiguation (WSD) methods, thus reducing the number of annotated samples, while keeping or improving the quality of disambiguation models. Methods We developed support vector machine (SVM) classifiers to disambiguate 197 ambiguous terms and abbreviations in the MSH WSD collection. Three different uncertainty sampling-based active learning algorithms were implemented with the SVM classifiers and were compared with a passive learner (PL) based on random sampling. For each ambiguous term and each learning algorithm, a learning curve that plots the accuracy computed from the test set as a function of the number of annotated samples used in the model was generated. The area under the learning curve (ALC) was used as the primary metric for evaluation. Results Our experiments demonstrated that active learners (ALs) significantly outperformed the PL, showing better performance for 177 out of 197 (89.8%) WSD tasks. Further analysis showed that to achieve an average accuracy of 90%, the PL needed 38 annotated samples, while the ALs needed only 24, a 37% reduction in annotation effort. Moreover, we analyzed cases where active learning algorithms did not achieve superior performance and identified three causes: (1) poor models in the early learning stage; (2) easy WSD cases; and (3) difficult WSD cases, which provide useful insight for future improvements. Conclusions This study demonstrated that integrating active learning strategies with supervised WSD methods could effectively reduce annotation cost and improve the disambiguation models. PMID:23364851
Miller, Cynthia J; Metz, Michael J
2014-09-01
Active learning is an instructional method in which students become engaged participants in the classroom through the use of in-class written exercises, games, problem sets, audience-response systems, debates, class discussions, etc. Despite evidence supporting the effectiveness of active learning strategies, minimal adoption of the technique has occurred in many professional programs. The goal of this study was to compare the perceptions of active learning between students who were exposed to active learning in the classroom (n = 116) and professional-level physiology faculty members (n = 9). Faculty members reported a heavy reliance on lectures and minimal use of educational games and activities, whereas students indicated that they learned best via the activities. A majority of faculty members (89%) had observed active learning in the classroom and predicted favorable effects of the method on student performance and motivation. The main reported barriers by faculty members to the adoption of active learning were a lack of necessary class time, a high comfort level with traditional lectures, and insufficient time to develop materials. Students hypothesized similar obstacles for faculty members but also associated many negative qualities with the traditional lecturers. Despite these barriers, a majority of faculty members (78%) were interested in learning more about the alternative teaching strategy. Both faculty members and students indicated that active learning should occupy portions (29% vs. 40%) of face-to-face class time. Copyright © 2014 The American Physiological Society.
Metz, Michael J.
2014-01-01
Active learning is an instructional method in which students become engaged participants in the classroom through the use of in-class written exercises, games, problem sets, audience-response systems, debates, class discussions, etc. Despite evidence supporting the effectiveness of active learning strategies, minimal adoption of the technique has occurred in many professional programs. The goal of this study was to compare the perceptions of active learning between students who were exposed to active learning in the classroom (n = 116) and professional-level physiology faculty members (n = 9). Faculty members reported a heavy reliance on lectures and minimal use of educational games and activities, whereas students indicated that they learned best via the activities. A majority of faculty members (89%) had observed active learning in the classroom and predicted favorable effects of the method on student performance and motivation. The main reported barriers by faculty members to the adoption of active learning were a lack of necessary class time, a high comfort level with traditional lectures, and insufficient time to develop materials. Students hypothesized similar obstacles for faculty members but also associated many negative qualities with the traditional lecturers. Despite these barriers, a majority of faculty members (78%) were interested in learning more about the alternative teaching strategy. Both faculty members and students indicated that active learning should occupy portions (29% vs. 40%) of face-to-face class time. PMID:25179615
Model of Learning Using iLearning on Independent Study Classes at University
ERIC Educational Resources Information Center
Sudaryono; Padeli; Febriyanto, Erick
2017-01-01
Raharja College is one of the universities who apply a learning method that is quite different which does not only rely on the conventional learning system in which Teaching and Learning Activity is done by students and lecturers are required to come face to face directly, but also applying e-learning method learning or better known as iLearning…
2015-01-01
Background In recent years, pharmacists have been involved in expanded patient care responsibilities, for example patient counseling in self-medication, medication review and pharmaceutical care, which require graduates to develop the necessary competences. Consequently, reorientation of pharmacy education has become necessary. As such, active learning strategies have been introduced into classrooms to increase problem-solving and critical thinking skills of students. The objective of this study was to evaluate the performance and perceptions of competency of students in a new pharmaceutical care course that uses active learning methodologies. Methods This pharmaceutical care course was conducted in the first semester of 2014, in the Federal University of Sergipe. In the pharmaceutical care course, active learning methods were used, consisting of dialogic classroom expository, simulation and case studies. Student learning was evaluated using classroom tests and instruments that evaluated the perception of competency in pharmaceutical care practice. Furthermore, students' satisfaction with the course was evaluated. Results Thirty-three students completed the four evaluations used in the course (i.e., a discursive written exam, seminars, OSCE, and virtual patient); 25 were female (75.75%), and the median age was 23.43 (SD 2.82) years. The overall mean of student scores, in all evaluation methods was 7.97 (SD 0.59) on a scale of 0 to 10 points, and student performance on the virtual patient method was statistically superior to other methods. With respect to the perception of competency in pharmaceutical care practice, a comparison of pre- and post-test scores revealed statistically significant improvement for all evaluated competences. At the end of the semester, the students presented positive opinions of the pharmaceutical care course. Conclusions The results suggest that an active learning course can enhance the learning of pharmaceutical care competences. In future studies it will be necessary to compare active learning to traditional methods. PMID:25969991
Modelling Typical Online Language Learning Activity
ERIC Educational Resources Information Center
Montoro, Carlos; Hampel, Regine; Stickler, Ursula
2014-01-01
This article presents the methods and results of a four-year-long research project focusing on the language learning activity of individual learners using online tasks conducted at the University of Guanajuato (Mexico) in 2009-2013. An activity-theoretical model (Blin, 2010; Engeström, 1987) of the typical language learning activity was used to…
ERIC Educational Resources Information Center
Rau, Martina A.; Kennedy, Kristopher; Oxtoby, Lucas; Bollom, Mark; Moore, John W.
2017-01-01
Much evidence shows that instruction that actively engages students with learning materials is more effective than traditional, lecture-centric instruction. These "active learning" models comprise an extremely heterogeneous set of instructional methods: they often include collaborative activities, flipped classrooms, or a combination of…
Active Learning Strategies and Assessment in World Geography Classes
ERIC Educational Resources Information Center
Klein, Phil
2003-01-01
Active learning strategies include a variety of methods, such as inquiry and discovery, in which students are actively engaged in the learning process. This article describes several strategies that can be used in secondary-or college-level world geography courses. The goal of these activities is to foster development of a spatial perspective in…
User/Tutor Optimal Learning Path in E-Learning Using Comprehensive Neuro-Fuzzy Approach
ERIC Educational Resources Information Center
Fazlollahtabar, Hamed; Mahdavi, Iraj
2009-01-01
Internet evolution has affected all industrial, commercial, and especially learning activities in the new context of e-learning. Due to cost, time, or flexibility e-learning has been adopted by participators as an alternative training method. By development of computer-based devices and new methods of teaching, e-learning has emerged. The…
Understanding Fatty Acid Metabolism through an Active Learning Approach
ERIC Educational Resources Information Center
Fardilha, M.; Schrader, M.; da Cruz e Silva, O. A. B.; da Cruz e Silva, E. F.
2010-01-01
A multi-method active learning approach (MALA) was implemented in the Medical Biochemistry teaching unit of the Biomedical Sciences degree at the University of Aveiro, using problem-based learning as the main learning approach. In this type of learning strategy, students are involved beyond the mere exercise of being taught by listening. Less…
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices.
Ravi, Daniele; Wong, Charence; Lo, Benny; Yang, Guang-Zhong
2017-01-01
The increasing popularity of wearable devices in recent years means that a diverse range of physiological and functional data can now be captured continuously for applications in sports, wellbeing, and healthcare. This wealth of information requires efficient methods of classification and analysis where deep learning is a promising technique for large-scale data analytics. While deep learning has been successful in implementations that utilize high-performance computing platforms, its use on low-power wearable devices is limited by resource constraints. In this paper, we propose a deep learning methodology, which combines features learned from inertial sensor data together with complementary information from a set of shallow features to enable accurate and real-time activity classification. The design of this combined method aims to overcome some of the limitations present in a typical deep learning framework where on-node computation is required. To optimize the proposed method for real-time on-node computation, spectral domain preprocessing is used before the data are passed onto the deep learning framework. The classification accuracy of our proposed deep learning approach is evaluated against state-of-the-art methods using both laboratory and real world activity datasets. Our results show the validity of the approach on different human activity datasets, outperforming other methods, including the two methods used within our combined pipeline. We also demonstrate that the computation times for the proposed method are consistent with the constraints of real-time on-node processing on smartphones and a wearable sensor platform.
Captivate: Building Blocks for Implementing Active Learning
ERIC Educational Resources Information Center
Kitchens, Brent; Means, Tawnya; Tan, Yinliang
2018-01-01
In this study, the authors propose a set of key elements that impact the success of an active learning implementation: content delivery, active learning methods, physical environment, technology enhancement, incentive alignment, and educator investment. Through a range of metrics the authors present preliminary evidence that students in courses…
A study of active learning methods for named entity recognition in clinical text.
Chen, Yukun; Lasko, Thomas A; Mei, Qiaozhu; Denny, Joshua C; Xu, Hua
2015-12-01
Named entity recognition (NER), a sequential labeling task, is one of the fundamental tasks for building clinical natural language processing (NLP) systems. Machine learning (ML) based approaches can achieve good performance, but they often require large amounts of annotated samples, which are expensive to build due to the requirement of domain experts in annotation. Active learning (AL), a sample selection approach integrated with supervised ML, aims to minimize the annotation cost while maximizing the performance of ML-based models. In this study, our goal was to develop and evaluate both existing and new AL methods for a clinical NER task to identify concepts of medical problems, treatments, and lab tests from the clinical notes. Using the annotated NER corpus from the 2010 i2b2/VA NLP challenge that contained 349 clinical documents with 20,423 unique sentences, we simulated AL experiments using a number of existing and novel algorithms in three different categories including uncertainty-based, diversity-based, and baseline sampling strategies. They were compared with the passive learning that uses random sampling. Learning curves that plot performance of the NER model against the estimated annotation cost (based on number of sentences or words in the training set) were generated to evaluate different active learning and the passive learning methods and the area under the learning curve (ALC) score was computed. Based on the learning curves of F-measure vs. number of sentences, uncertainty sampling algorithms outperformed all other methods in ALC. Most diversity-based methods also performed better than random sampling in ALC. To achieve an F-measure of 0.80, the best method based on uncertainty sampling could save 66% annotations in sentences, as compared to random sampling. For the learning curves of F-measure vs. number of words, uncertainty sampling methods again outperformed all other methods in ALC. To achieve 0.80 in F-measure, in comparison to random sampling, the best uncertainty based method saved 42% annotations in words. But the best diversity based method reduced only 7% annotation effort. In the simulated setting, AL methods, particularly uncertainty-sampling based approaches, seemed to significantly save annotation cost for the clinical NER task. The actual benefit of active learning in clinical NER should be further evaluated in a real-time setting. Copyright © 2015 Elsevier Inc. All rights reserved.
Nageswari, K Sri; Malhotra, Anita S; Kapoor, Nandini; Kaur, Gurjit
2004-12-01
Modern teaching trends in medical education exhibit a paradigm shift from the conventional classroom teaching methods adopted in the past to nonconventional teaching aids so as to encourage interactive forms of learning in medical students through active participation and integrative reasoning where the relationship of the teacher and the taught has undergone tremendous transformation. Some of the nonconventional teaching methods adopted at our department are learning through active participation by the students through computer-assisted learning (CD-ROMs), Web-based learning (undergraduate projects), virtual laboratories, seminars, audiovisual aids (video-based demonstrations), and "physioquiz."
ERIC Educational Resources Information Center
Wu, YuLung
2010-01-01
In Taiwan, when students learn in experiment-related courses, they are often grouped into several teams. The familiar method of grouping learning is "Cooperative Learning". A well-organized grouping strategy improves cooperative learning and increases the number of activities. This study proposes a novel pedagogical method by adopting…
The Use of the First Language in Second Language Learning Reconsidered
ERIC Educational Resources Information Center
Halasa, Najwa Hanna; Al-Manaseer, Majeda
2012-01-01
This paper aims to study new techniques in second language learning involving the active use of the mother tongue in classroom situations. Several teaching methods will be discussed such as The Alternating Approach, The New Concurrent Method, and Community Language Learning method. These methods of employing the first language recognise the link…
ERIC Educational Resources Information Center
McFee, Renee M.; Cupp, Andrea S.; Wood, Jennifer R.
2018-01-01
Didactic lectures are prevalent in physiology courses within veterinary medicine programs, but more active learning methods have also been utilized. Our goal was to identify the most appropriate learning method to augment the lecture component of our physiology course. We hypothesized that case-based learning would be well received by students and…
ERIC Educational Resources Information Center
Barhoumi, Chokri
2015-01-01
This research paper explores the effectiveness of using mobile technologies to support a blended learning course titled Scientific Research Methods in Information Science. Specifically, it discusses the effects of WhatsApp mobile learning activities guided by activity theory on students' knowledge Management (KM). During the 2014 academic year,…
The Guided Autobiography Method: A Learning Experience
ERIC Educational Resources Information Center
Thornton, James E.
2008-01-01
This article discusses the proposition that learning is an unexplored feature of the guided autobiography method and its developmental exchange. Learning, conceptualized and explored as the embedded and embodied processes, is essential in narrative activities of the guided autobiography method leading to psychosocial development and growth in…
Ellis, Katherine; Godbole, Suneeta; Marshall, Simon; Lanckriet, Gert; Staudenmayer, John; Kerr, Jacqueline
2014-01-01
Background: Active travel is an important area in physical activity research, but objective measurement of active travel is still difficult. Automated methods to measure travel behaviors will improve research in this area. In this paper, we present a supervised machine learning method for transportation mode prediction from global positioning system (GPS) and accelerometer data. Methods: We collected a dataset of about 150 h of GPS and accelerometer data from two research assistants following a protocol of prescribed trips consisting of five activities: bicycling, riding in a vehicle, walking, sitting, and standing. We extracted 49 features from 1-min windows of this data. We compared the performance of several machine learning algorithms and chose a random forest algorithm to classify the transportation mode. We used a moving average output filter to smooth the output predictions over time. Results: The random forest algorithm achieved 89.8% cross-validated accuracy on this dataset. Adding the moving average filter to smooth output predictions increased the cross-validated accuracy to 91.9%. Conclusion: Machine learning methods are a viable approach for automating measurement of active travel, particularly for measuring travel activities that traditional accelerometer data processing methods misclassify, such as bicycling and vehicle travel. PMID:24795875
Ellis, Katherine; Godbole, Suneeta; Marshall, Simon; Lanckriet, Gert; Staudenmayer, John; Kerr, Jacqueline
2014-01-01
Active travel is an important area in physical activity research, but objective measurement of active travel is still difficult. Automated methods to measure travel behaviors will improve research in this area. In this paper, we present a supervised machine learning method for transportation mode prediction from global positioning system (GPS) and accelerometer data. We collected a dataset of about 150 h of GPS and accelerometer data from two research assistants following a protocol of prescribed trips consisting of five activities: bicycling, riding in a vehicle, walking, sitting, and standing. We extracted 49 features from 1-min windows of this data. We compared the performance of several machine learning algorithms and chose a random forest algorithm to classify the transportation mode. We used a moving average output filter to smooth the output predictions over time. The random forest algorithm achieved 89.8% cross-validated accuracy on this dataset. Adding the moving average filter to smooth output predictions increased the cross-validated accuracy to 91.9%. Machine learning methods are a viable approach for automating measurement of active travel, particularly for measuring travel activities that traditional accelerometer data processing methods misclassify, such as bicycling and vehicle travel.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Jamieson, Kevin; Davis, IV, Warren L.
Active learning methods automatically adapt data collection by selecting the most informative samples in order to accelerate machine learning. Because of this, real-world testing and comparing active learning algorithms requires collecting new datasets (adaptively), rather than simply applying algorithms to benchmark datasets, as is the norm in (passive) machine learning research. To facilitate the development, testing and deployment of active learning for real applications, we have built an open-source software system for large-scale active learning research and experimentation. The system, called NEXT, provides a unique platform for realworld, reproducible active learning research. This paper details the challenges of building themore » system and demonstrates its capabilities with several experiments. The results show how experimentation can help expose strengths and weaknesses of active learning algorithms, in sometimes unexpected and enlightening ways.« less
Using Active Learning for Speeding up Calibration in Simulation Models
Cevik, Mucahit; Ali Ergun, Mehmet; Stout, Natasha K.; Trentham-Dietz, Amy; Craven, Mark; Alagoz, Oguzhan
2015-01-01
Background Most cancer simulation models include unobservable parameters that determine the disease onset and tumor growth. These parameters play an important role in matching key outcomes such as cancer incidence and mortality and their values are typically estimated via lengthy calibration procedure, which involves evaluating large number of combinations of parameter values via simulation. The objective of this study is to demonstrate how machine learning approaches can be used to accelerate the calibration process by reducing the number of parameter combinations that are actually evaluated. Methods Active learning is a popular machine learning method that enables a learning algorithm such as artificial neural networks to interactively choose which parameter combinations to evaluate. We develop an active learning algorithm to expedite the calibration process. Our algorithm determines the parameter combinations that are more likely to produce desired outputs, therefore reduces the number of simulation runs performed during calibration. We demonstrate our method using previously developed University of Wisconsin Breast Cancer Simulation Model (UWBCS). Results In a recent study, calibration of the UWBCS required the evaluation of 378,000 input parameter combinations to build a race-specific model and only 69 of these combinations produced results that closely matched observed data. By using the active learning algorithm in conjunction with standard calibration methods, we identify all 69 parameter combinations by evaluating only 5620 of the 378,000 combinations. Conclusion Machine learning methods hold potential in guiding model developers in the selection of more promising parameter combinations and hence speeding up the calibration process. Applying our machine learning algorithm to one model shows that evaluating only 1.49% of all parameter combinations would be sufficient for the calibration. PMID:26471190
Do Simulations Enhance Student Learning? An Empirical Evaluation of an IR Simulation
ERIC Educational Resources Information Center
Shellman, Stephen M.; Turan, Kursad
2006-01-01
There is a nascent literature on the question of whether active learning methods, and in particular simulation methods, enhance student learning. In this article, the authors evaluate the utility of an international relations simulation in enhancing learning objectives. Student evaluations provide evidence that the simulation process enhances…
Mesquita, Alessandra R; Souza, Werlissandra M; Boaventura, Thays C; Barros, Izadora M C; Antoniolli, Angelo R; Silva, Wellington B; Lyra Júnior, Divaldo P
2015-01-01
In recent years, pharmacists have been involved in expanded patient care responsibilities, for example patient counseling in self-medication, medication review and pharmaceutical care, which require graduates to develop the necessary competences. Consequently, reorientation of pharmacy education has become necessary. As such, active learning strategies have been introduced into classrooms to increase problem-solving and critical thinking skills of students. The objective of this study was to evaluate the performance and perceptions of competency of students in a new pharmaceutical care course that uses active learning methodologies. This pharmaceutical care course was conducted in the first semester of 2014, in the Federal University of Sergipe. In the pharmaceutical care course, active learning methods were used, consisting of dialogic classroom expository, simulation and case studies. Student learning was evaluated using classroom tests and instruments that evaluated the perception of competency in pharmaceutical care practice. Furthermore, students' satisfaction with the course was evaluated. Thirty-three students completed the four evaluations used in the course (i.e., a discursive written exam, seminars, OSCE, and virtual patient); 25 were female (75.75%), and the median age was 23.43 (SD 2.82) years. The overall mean of student scores, in all evaluation methods was 7.97 (SD 0.59) on a scale of 0 to 10 points, and student performance on the virtual patient method was statistically superior to other methods. With respect to the perception of competency in pharmaceutical care practice, a comparison of pre- and post-test scores revealed statistically significant improvement for all evaluated competences. At the end of the semester, the students presented positive opinions of the pharmaceutical care course. The results suggest that an active learning course can enhance the learning of pharmaceutical care competences. In future studies it will be necessary to compare active learning to traditional methods.
Boctor, Lisa
2013-03-01
The majority of nursing students are kinesthetic learners, preferring a hands-on, active approach to education. Research shows that active-learning strategies can increase student learning and satisfaction. This study looks at the use of one active-learning strategy, a Jeopardy-style game, 'Nursopardy', to reinforce Fundamentals of Nursing material, aiding in students' preparation for a standardized final exam. The game was created keeping students varied learning styles and the NCLEX blueprint in mind. The blueprint was used to create 5 categories, with 26 total questions. Student survey results, using a five-point Likert scale showed that they did find this learning method enjoyable and beneficial to learning. More research is recommended regarding learning outcomes, when using active-learning strategies, such as games. Copyright © 2012 Elsevier Ltd. All rights reserved.
An Activity-Based Learning Approach for Key Geographical Information Systems (GIS) Concepts
ERIC Educational Resources Information Center
Srivastava, Sanjeev Kumar; Tait, Cynthia
2012-01-01
This study presents the effect of active learning methods of concepts in geographical information systems where students participated in a series of interlocked learning experiences. These activities spanned several teaching weeks and involved the creation of a hand drawn map that was scanned and geo-referenced with locations' coordinates derived…
ERIC Educational Resources Information Center
Myers, Brian E.; Barrick, R. Kirby; Samy, Mohamed M.
2012-01-01
Purpose: The purpose of the study was to assess Egyptian Agricultural Technical School (ATS) teachers' implementation of active learning strategies in their classrooms. Methods: The Stages of Concern Questionnaire was administered to 230 participants in active learning workshops. After eliminating headmasters, supervisors and people no longer…
Rethinking Active Learning in the Context of Japanese Higher Education
ERIC Educational Resources Information Center
Ito, Hiroshi
2017-01-01
This paper reconsiders active learning (AL) in the context of Japanese higher education. AL encourages students to actively engage with learning, enhancing their generic and employability skills. In Japan, AL has become increasingly popular but lacks a clear definition. AL proponents suggest that it is the use of instructional methods that…
Active learning in the presence of unlabelable examples
NASA Technical Reports Server (NTRS)
Mazzoni, Dominic; Wagstaff, Kiri
2004-01-01
We propose a new active learning framework where the expert labeler is allowed to decline to label any example. This may be necessary because the true label is unknown or because the example belongs to a class that is not part of the real training problem. We show that within this framework, popular active learning algorithms (such as Simple) may perform worse than random selection because they make so many queries to the unlabelable class. We present a method by which any active learning algorithm can be modified to avoid unlabelable examples by training a second classifier to distinguish between the labelable and unlabelable classes. We also demonstrate the effectiveness of the method on two benchmark data sets and a real-world problem.
PBL and beyond: trends in collaborative learning.
Pluta, William J; Richards, Boyd F; Mutnick, Andrew
2013-01-01
Building upon the disruption to lecture-based methods triggered by the introduction of problem-based learning, approaches to promote collaborative learning are becoming increasingly diverse, widespread and generally well accepted within medical education. Examples of relatively new, structured collaborative learning methods include team-based learning and just-in-time teaching. Examples of less structured approaches include think-pair share, case discussions, and the flipped classroom. It is now common practice in medical education to employ a range of instructional approaches to support collaborative learning. We believe that the adoption of such approaches is entering a new and challenging era. We define collaborate learning by drawing on the broader literature, including Chi's ICAP framework that emphasizes the importance of sustained, interactive explanation and elaboration by learners. We distinguish collaborate learning from constructive, active, and passive learning and provide preliminary evidence documenting the growth of methods that support collaborative learning. We argue that the rate of adoption of collaborative learning methods will accelerate due to a growing emphasis on the development of team competencies and the increasing availability of digital media. At the same time, the adoption collaborative learning strategies face persistent challenges, stemming from an overdependence on comparative-effectiveness research and a lack of useful guidelines about how best to adapt collaborative learning methods to given learning contexts. The medical education community has struggled to consistently demonstrate superior outcomes when using collaborative learning methods and strategies. Despite this, support for their use will continue to expand. To select approaches with the greatest utility, instructors must carefully align conditions of the learning context with the learning approaches under consideration. Further, it is critical that modifications are made with caution and that instructors verify that modifications do not impede the desired cognitive activities needed to support meaningful collaborative learning.
Active learning of cortical connectivity from two-photon imaging data.
Bertrán, Martín A; Martínez, Natalia L; Wang, Ye; Dunson, David; Sapiro, Guillermo; Ringach, Dario
2018-01-01
Understanding how groups of neurons interact within a network is a fundamental question in system neuroscience. Instead of passively observing the ongoing activity of a network, we can typically perturb its activity, either by external sensory stimulation or directly via techniques such as two-photon optogenetics. A natural question is how to use such perturbations to identify the connectivity of the network efficiently. Here we introduce a method to infer sparse connectivity graphs from in-vivo, two-photon imaging of population activity in response to external stimuli. A novel aspect of the work is the introduction of a recommended distribution, incrementally learned from the data, to optimally refine the inferred network. Unlike existing system identification techniques, this "active learning" method automatically focuses its attention on key undiscovered areas of the network, instead of targeting global uncertainty indicators like parameter variance. We show how active learning leads to faster inference while, at the same time, provides confidence intervals for the network parameters. We present simulations on artificial small-world networks to validate the methods and apply the method to real data. Analysis of frequency of motifs recovered show that cortical networks are consistent with a small-world topology model.
The algorithm for duration acceleration of repetitive projects considering the learning effect
NASA Astrophysics Data System (ADS)
Chen, Hongtao; Wang, Keke; Du, Yang; Wang, Liwan
2018-03-01
Repetitive project optimization problem is common in project scheduling. Repetitive Scheduling Method (RSM) has many irreplaceable advantages in the field of repetitive projects. As the same or similar work is repeated, the proficiency of workers will be correspondingly low to high, and workers will gain experience and improve the efficiency of operations. This is learning effect. Learning effect is one of the important factors affecting the optimization results in repetitive project scheduling. This paper analyzes the influence of the learning effect on the controlling path in RSM from two aspects: one is that the learning effect changes the controlling path, the other is that the learning effect doesn't change the controlling path. This paper proposes corresponding methods to accelerate duration for different types of critical activities and proposes the algorithm for duration acceleration based on the learning effect in RSM. And the paper chooses graphical method to identity activities' types and considers the impacts of the learning effect on duration. The method meets the requirement of duration while ensuring the lowest acceleration cost. A concrete bridge construction project is given to verify the effectiveness of the method. The results of this study will help project managers understand the impacts of the learning effect on repetitive projects, and use the learning effect to optimize project scheduling.
Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry.
Chowdhury, Alok Kumar; Tjondronegoro, Dian; Chandran, Vinod; Trost, Stewart G
2017-09-01
To investigate whether the use of ensemble learning algorithms improve physical activity recognition accuracy compared to the single classifier algorithms, and to compare the classification accuracy achieved by three conventional ensemble machine learning methods (bagging, boosting, random forest) and a custom ensemble model comprising four algorithms commonly used for activity recognition (binary decision tree, k nearest neighbor, support vector machine, and neural network). The study used three independent data sets that included wrist-worn accelerometer data. For each data set, a four-step classification framework consisting of data preprocessing, feature extraction, normalization and feature selection, and classifier training and testing was implemented. For the custom ensemble, decisions from the single classifiers were aggregated using three decision fusion methods: weighted majority vote, naïve Bayes combination, and behavior knowledge space combination. Classifiers were cross-validated using leave-one subject out cross-validation and compared on the basis of average F1 scores. In all three data sets, ensemble learning methods consistently outperformed the individual classifiers. Among the conventional ensemble methods, random forest models provided consistently high activity recognition; however, the custom ensemble model using weighted majority voting demonstrated the highest classification accuracy in two of the three data sets. Combining multiple individual classifiers using conventional or custom ensemble learning methods can improve activity recognition accuracy from wrist-worn accelerometer data.
Reducing Student Resistance to Active Learning: Strategies for Instructors
ERIC Educational Resources Information Center
Finelli, Cynthia J.; Nguyen, Kevin; DeMonbrun, Matthew; Borrego, Maura; Prince, Michael; Husman, Jennifer; Henderson, Charles; Shekhar, Prateek; Waters, Cynthia K.
2018-01-01
In spite of considerable evidence of the effectiveness of active learning and other contemporary teaching methods, barriers to adoption of those methods, such as possible student resistance, continue to exist. This study addresses student resistance by analyzing data from 1,051 students who completed our Student Response to Instructional Practices…
Extreme Trust Region Policy Optimization for Active Object Recognition.
Liu, Huaping; Wu, Yupei; Sun, Fuchun; Huaping Liu; Yupei Wu; Fuchun Sun; Sun, Fuchun; Liu, Huaping; Wu, Yupei
2018-06-01
In this brief, we develop a deep reinforcement learning method to actively recognize objects by choosing a sequence of actions for an active camera that helps to discriminate between the objects. The method is realized using trust region policy optimization, in which the policy is realized by an extreme learning machine and, therefore, leads to efficient optimization algorithm. The experimental results on the publicly available data set show the advantages of the developed extreme trust region optimization method.
Emotionalized learning experiences: Tapping into the affective domain.
Green, Zane Asher; Batool, Sadia
2017-06-01
The experimental study was undertaken to examine the effect of emotionalized learning experiences on the academic achievement of students at Preston University. The major objectives of the study were to identify the effect of teaching methods on students' academic achievement and to evaluate the relationship between affective learning conditions and students' academic achievement. Based on four intact semesters, the population of the study comprised 140 students from the Bachelors of Business Administration Program. The whole population was considered as the sample. The control group (28 students) was taught through the interactive lecture method, whereas, the experimental group 1 (35 students), experimental group 2 (46 students) and experimental group 3 (31 students) were taught through the activity method, reflective learning method and cooperative learning method respectively. Results indicated a significant difference between the pretest and posttest scores obtained in the achievement test as a result of the effect of teaching methods used for offering the emotionalized learning experiences. There was also a significant relationship between affective leaning conditions and students' academic achievement. Furthermore, it was found that students' academic achievement in the affective domain was highest with regard to workshops 1, 2 and 3. It was concluded that the emotionalized learning experiences offered to the students via the four teaching methods helped students in enhancing their knowledge, changing their attitudes and developing their skills with regard to living a happy, healthy and meaningful life. However, the reflective learning method proved to be the most suitable followed by the interactive lecture method, the cooperative learning method and the activity method. Copyright © 2017 Elsevier Ltd. All rights reserved.
Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task.
Sargent, Barbara; Reimann, Hendrik; Kubo, Masayoshi; Fetters, Linda
2015-06-01
Task-specific actions emerge from spontaneous movement during infancy. It has been proposed that task-specific actions emerge through a discovery-learning process. Here a method is described in which 3-4 month old infants learn a task by discovery and their leg movements are captured to quantify the learning process. This discovery-learning task uses an infant activated mobile that rotates and plays music based on specified leg action of infants. Supine infants activate the mobile by moving their feet vertically across a virtual threshold. This paradigm is unique in that as infants independently discover that their leg actions activate the mobile, the infants' leg movements are tracked using a motion capture system allowing for the quantification of the learning process. Specifically, learning is quantified in terms of the duration of mobile activation, the position variance of the end effectors (feet) that activate the mobile, changes in hip-knee coordination patterns, and changes in hip and knee muscle torque. This information describes infant exploration and exploitation at the interplay of person and environmental constraints that support task-specific action. Subsequent research using this method can investigate how specific impairments of different populations of infants at risk for movement disorders influence the discovery-learning process for task-specific action.
Methods of learning in statistical education: Design and analysis of a randomized trial
NASA Astrophysics Data System (ADS)
Boyd, Felicity Turner
Background. Recent psychological and technological advances suggest that active learning may enhance understanding and retention of statistical principles. A randomized trial was designed to evaluate the addition of innovative instructional methods within didactic biostatistics courses for public health professionals. Aims. The primary objectives were to evaluate and compare the addition of two active learning methods (cooperative and internet) on students' performance; assess their impact on performance after adjusting for differences in students' learning style; and examine the influence of learning style on trial participation. Methods. Consenting students enrolled in a graduate introductory biostatistics course were randomized to cooperative learning, internet learning, or control after completing a pretest survey. The cooperative learning group participated in eight small group active learning sessions on key statistical concepts, while the internet learning group accessed interactive mini-applications on the same concepts. Controls received no intervention. Students completed evaluations after each session and a post-test survey. Study outcome was performance quantified by examination scores. Intervention effects were analyzed by generalized linear models using intent-to-treat analysis and marginal structural models accounting for reported participation. Results. Of 376 enrolled students, 265 (70%) consented to randomization; 69, 100, and 96 students were randomized to the cooperative, internet, and control groups, respectively. Intent-to-treat analysis showed no differences between study groups; however, 51% of students in the intervention groups had dropped out after the second session. After accounting for reported participation, expected examination scores were 2.6 points higher (of 100 points) after completing one cooperative learning session (95% CI: 0.3, 4.9) and 2.4 points higher after one internet learning session (95% CI: 0.0, 4.7), versus nonparticipants or controls, adjusting for other performance predictors. Students who preferred learning by reflective observation and active experimentation experienced improved performance through internet learning (5.9 points, 95% CI: 1.2, 10.6) and cooperative learning (2.9 points, 95% CI: 0.6, 5.2), respectively. Learning style did not influence study participation. Conclusions. No performance differences by group were observed by intent-to-treat analysis. Participation in active learning appears to improve student performance in an introductory biostatistics course and provides opportunities for enhancing understanding beyond that attained in traditional didactic classrooms.
Argument Based Science Inquiry (ABSI) Learning Model in Voltaic Cell Concept
NASA Astrophysics Data System (ADS)
Subarkah, C. Z.; Fadilah, A.; Aisyah, R.
2017-09-01
Voltaic Cell is a sub-concept of electrochemistry that is considered difficult to be comprehended by learners Voltaic Cell is a sub concept of electrochemistry that is considered difficult to be understood by learners so that impacts on student activity in learning process. Therefore the learning model Argument Based Science Inquiry (ABSI) will be applied to the concept of Voltaic cell. This research aims to describe students’ activities during learning process using ABSI model and to analyze students’ competency to solve ABSI-based worksheets (LK) of Voltaic Cell concept. The method used in this research was the “mix-method-quantitative-embedded” method with subjects of the study: 39 second-semester students of Chemistry Education study program. The student activity is quite good during ABSI learning. The students’ ability to complete worksheet (LK) for every average phase is good. In the phase of exploration of post instruction understanding, it is categorized very good, and in the phase of negotiation shape III: comparing science ideas to textbooks or other printed resources merely reach enough category. Thus, the ABSI learning has improved the student levels of activity and students’ competency to solve the ABSI-based worksheet (LK).
Development of Speaking Skills through Activity Based Learning at the Elementary Level
ERIC Educational Resources Information Center
Ul-Haq, Zahoor; Khurram, Bushra Ahmed; Bangash, Arshad Khan
2017-01-01
Purpose: This paper discusses an effective instructional method called "activity based learning" that can be used to develop the speaking skills of students in the elementary school level. The present study was conducted to determine the effect of activity based learning on the development of the speaking skills of low and high achievers…
ERIC Educational Resources Information Center
Brewe, Eric; Dou, Remy; Shand, Robert
2018-01-01
Although active learning is supported by strong evidence of efficacy in undergraduate science instruction, institutions of higher education have yet to embrace comprehensive change. Costs of transforming instruction are regularly cited as a key factor in not adopting active-learning instructional practices. Some cite that alternative methods to…
ERIC Educational Resources Information Center
Miller, Cynthia J.; Metz, Michael J.
2014-01-01
Active learning is an instructional method in which students become engaged participants in the classroom through the use of in-class written exercises, games, problem sets, audience-response systems, debates, class discussions, etc. Despite evidence supporting the effectiveness of active learning strategies, minimal adoption of the technique has…
Bhardwaj, A; Nagandla, K; Swe, K Mm; Abas, A Bl
2015-01-01
E-learning is the use of Information and Communication Technology (ICT) to provide online education and learning. E- Learning has now been integrated into the traditional teaching as the concept of 'blended learning' that combines digital learning with the existing traditional teaching methods to address the various challenges in the field of medical education. Structured e-learning activities were started in Melaka Manipal Medical College in 2009 via e-learning platform (MOODLE-Modular Object-Oriented Dynamic Learning Environment). The objective of the present study is to investigate the faculty opinions toward the existing e-learning activities, and to analyse the extent of adopting and integration of e-learning into their traditional teaching methods. A cross sectional study was conducted among faculties of Medicine and Dentistry using pre-tested questionnaires. The data was analyzed by using the statistical package for social science, SPSS, version 16.0. The result of our survey indicates that majority of our faculty (65.4%) held positive opinion towards e-learning. Among the few, who demonstrated reservations, it is attributed to their average level of skills and aptitude in the use of computers that was statistically significant (p<0.05). Our study brings to light the need for formal training as perquisite to support e-learning that enables smooth transition of the faculty from their traditional teaching methods into blended approach. Our results are anticipated to strengthen the existing e-learning activities of our college and other universities and convincingly adopt e-learning as a viable teaching and learning strategy.
[Flipped classroom as a strategy to enhance active learning].
Wakabayashi, Noriyuki
2015-03-01
This paper reviews the introduction of a flipped class for fourth grade dentistry students, and analyzes the characteristics of the learning method. In fiscal 2013 and 2014, a series of ten three-hour units for removable partial prosthodontics were completed with the flipped class method; a lecture video of approximately 60 minutes was made by the teacher (author) and uploaded to the university's e-learning website one week before each class. Students were instructed to prepare for the class by watching the streaming video on their PC, tablet, or smartphone. In the flipped class, students were not given a lecture, but were asked to solve short questions displayed on screen, to make a short presentation about a part of the video lecture, and to discuss a critical question related to the main subject of the day. An additional team-based learning (TBL) session with individual and group answers was implemented. The average individual scores were considerably higher in the last two years, when the flipped method was implemented, than in the three previous years when conventional lectures were used. The following learning concepts were discussed: the role of the flipped method as an active learning strategy, the efficacy of lecture videos and short questions, students' participation in the class discussion, present-day value of the method, cooperation with TBL, the significance of active learning in relation with the students' learning ability, and the potential increase in the preparation time and workload for students.
Pattern Activity Clustering and Evaluation (PACE)
NASA Astrophysics Data System (ADS)
Blasch, Erik; Banas, Christopher; Paul, Michael; Bussjager, Becky; Seetharaman, Guna
2012-06-01
With the vast amount of network information available on activities of people (i.e. motions, transportation routes, and site visits) there is a need to explore the salient properties of data that detect and discriminate the behavior of individuals. Recent machine learning approaches include methods of data mining, statistical analysis, clustering, and estimation that support activity-based intelligence. We seek to explore contemporary methods in activity analysis using machine learning techniques that discover and characterize behaviors that enable grouping, anomaly detection, and adversarial intent prediction. To evaluate these methods, we describe the mathematics and potential information theory metrics to characterize behavior. A scenario is presented to demonstrate the concept and metrics that could be useful for layered sensing behavior pattern learning and analysis. We leverage work on group tracking, learning and clustering approaches; as well as utilize information theoretical metrics for classification, behavioral and event pattern recognition, and activity and entity analysis. The performance evaluation of activity analysis supports high-level information fusion of user alerts, data queries and sensor management for data extraction, relations discovery, and situation analysis of existing data.
Community Garden: A Bridging Program between Formal and Informal Learning
ERIC Educational Resources Information Center
Datta, Ranjan
2016-01-01
Community garden activities can play a significant role in bridging formal and informal learning, particularly in urban children's science and environmental education. It promotes relational methods of learning, discussing, and practicing that will integrate food security, social interactions, community development, environmental activism, and…
ERIC Educational Resources Information Center
Ekmekci, Adem; Gulacar, Ozcan
2015-01-01
Science education reform emphasizes innovative and constructivist views of science teaching and learning that promotes active learning environments, dynamic instructions, and authentic science experiments. Technology-based and hands-on instructional designs are among innovative science teaching and learning methods. Research shows that these two…
A Mixed-Methods Investigation of Clicker Implementation Styles in STEM.
Solomon, Erin D; Repice, Michelle D; Mutambuki, Jacinta M; Leonard, Denise A; Cohen, Cheryl A; Luo, Jia; Frey, Regina F
2018-06-01
Active learning with clickers is a common approach in high-enrollment, lecture-based courses in science, technology, engineering, and mathematics. In this study, we describe the procedures that faculty at one institution used when implementing clicker-based active learning, and how they situated these activities in their class sessions. Using a mixed-methods approach, we categorized faculty into four implementation styles based on quantitative observation data and conducted qualitative interviews to further understand why faculty used these styles. We found that faculty tended to use similar procedures when implementing a clicker activity, but differed on how they situated the clicker-based active learning into their courses. These variations were attributed to different faculty goals for using clicker-based active learning, with some using it to engage students at specific time points throughout their class sessions and others who selected it as the best way to teach a concept from several possible teaching techniques. Future research should continue to investigate and describe how active-learning strategies from literature may differ from what is being implemented.
NASA Astrophysics Data System (ADS)
Jannah, R. R.; Apriliya, S.; Karlimah
2017-03-01
This study aims to develop alternative instructional design based of barriers learning which identified by developing mathematical connection capabilities to the material unit of distance and speed. The research was conducted in the fifth grade elementary school Instructional design is complemented with a hypothetical learning trajectory in the form of a pedagogical didactic anticipation. The method used is descriptive method with qualitative approach. Techniques data collection used were observation, interviews, and documentation. The instrument used the researchers themselves are equipped with an instrument written test. The data were analyzed qualitatively to determine the student learning obstacles, then arrange hypothetical learning trajectory and pedagogical didactic anticipation. Learning obstacle are identified, it is learning obstacle related the connections between mathematical topics, learning obstacle related with other disciplines, and learning obstacle related with everyday life. The results of this research are improvement and development of didactic design in mathematics which has activities mathematical connection to the material unit of distance and speed in elementary school. The learning activities are carried out is using varied methods include method lectures, demonstrations, practice and exercise, as well as using the modified instructional media.
Cavanaugh, James T; Konrad, Shelley Cohen
2012-01-01
To describe the implementation of an interprofessional shared learning model designed to promote the development of person-centered healthcare communication skills. Master of social work (MSW) and doctor of physical therapy (DPT) degree students. The model used evidence-based principles of effective healthcare communication and shared learning methods; it was aligned with student learning outcomes contained in MSW and DPT curricula. Students engaged in 3 learning sessions over 2 days. Sessions involved interactive reflective learning, simulated role-modeling with peer assessment, and context-specific practice of communication skills. The perspective of patients/clients was included in each learning activity. Activities were evaluated through narrative feedback. Students valued opportunities to learn directly from each other and from healthcare consumers. Important insights and directions for future interprofessional learning experiences were gleaned from model implementation. The interprofessional shared learning model shows promise as an effective method for developing person-centered communication skills.
Seif, Gretchen A; Brown, Debora
2013-01-01
It is difficult to provide real-world learning experiences for students to master clinical and communication skills. The purpose of this paper is to describe a novel instructional method using self- and peer-assessment, reflection, and technology to help students develop effective interpersonal and clinical skills. The teaching method is described by the constructivist learning theory and incorporates the use of educational technology. The learning activities were incorporated into the pre-clinical didactic curriculum. The students participated in two video-recording assignments and performed self-assessments on each and had a peer-assessment on the second video-recording. The learning activity was evaluated through the self- and peer-assessments and an instructor-designed survey. This evaluation identified several themes related to the assignment, student performance, clinical behaviors and establishing rapport. Overall the students perceived that the learning activities assisted in the development of clinical and communication skills prior to direct patient care. The use of video recordings of a simulated history and examination is a unique learning activity for preclinical PT students in the development of clinical and communication skills.
ERIC Educational Resources Information Center
Bailey, Regina M.
2012-01-01
In an information-saturated world, today's college students desire to be engaged both in and out of their college classrooms. This mixed-methods study sought to explore how replacing traditional teaching methods with engaged learning activities affects millennial college student attitudes and perceptions about learning. The sub-questions…
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks.
Ness, Robert O; Sachs, Karen; Mallick, Parag; Vitek, Olga
2018-06-21
Machine learning methods for learning network structure are applied to quantitative proteomics experiments and reverse-engineer intracellular signal transduction networks. They provide insight into the rewiring of signaling within the context of a disease or a phenotype. To learn the causal patterns of influence between proteins in the network, the methods require experiments that include targeted interventions that fix the activity of specific proteins. However, the interventions are costly and add experimental complexity. We describe an active learning strategy for selecting optimal interventions. Our approach takes as inputs pathway databases and historic data sets, expresses them in form of prior probability distributions on network structures, and selects interventions that maximize their expected contribution to structure learning. Evaluations on simulated and real data show that the strategy reduces the detection error of validated edges as compared with an unguided choice of interventions and avoids redundant interventions, thereby increasing the effectiveness of the experiment.
ERIC Educational Resources Information Center
Chen, Jian; Zhou, Junhai; Sun, Li; Wu, Qiuhui; Lu, Huiling; Tian, Jing
2015-01-01
Student-centered learning is generally defined as any instructional method that purportedly engages students in active learning and critical thinking. The student-centered method of teaching moves the focus from teaching to learning, from the teachers' conveying course concepts via lecture to the understanding of concepts by students. The…
On Recommending Web 2.0 Tools to Personalise Learning
ERIC Educational Resources Information Center
Juškeviciene, Anita; Kurilovas, Eugenijus
2014-01-01
The paper aims to present research results on using Web 2.0 tools for learning personalisation. In the work, personalised Web 2.0 tools selection method is presented. This method takes into account student's learning preferences for content and communication modes tailored to the learning activities with a view to help the learner to quickly and…
Prediction of Enzyme Mutant Activity Using Computational Mutagenesis and Incremental Transduction
Basit, Nada; Wechsler, Harry
2011-01-01
Wet laboratory mutagenesis to determine enzyme activity changes is expensive and time consuming. This paper expands on standard one-shot learning by proposing an incremental transductive method (T2bRF) for the prediction of enzyme mutant activity during mutagenesis using Delaunay tessellation and 4-body statistical potentials for representation. Incremental learning is in tune with both eScience and actual experimentation, as it accounts for cumulative annotation effects of enzyme mutant activity over time. The experimental results reported, using cross-validation, show that overall the incremental transductive method proposed, using random forest as base classifier, yields better results compared to one-shot learning methods. T2bRF is shown to yield 90% on T4 and LAC (and 86% on HIV-1). This is significantly better than state-of-the-art competing methods, whose performance yield is at 80% or less using the same datasets. PMID:22007208
The Key Factors of an Active Learning Method in a Microprocessors Course
ERIC Educational Resources Information Center
Carpeno, A.; Arriaga, J.; Corredor, J.; Hernandez, J.
2011-01-01
The creation of the European Higher Education Area (EHEA) is promoting a change toward a new model of education focused on the student. It is impelling methodological innovation processes in many European universities, leading more teachers to apply methods based on active and cooperative learning in their classrooms. However, the successful…
ERIC Educational Resources Information Center
Llorens, Ariadna; Berbegal-Mirabent, Jasmina; Llinàs-Audet, Xavier
2017-01-01
Engineering education is facing new challenges to effectively provide the appropriate skills to future engineering professionals according to market demands. This study proposes a model based on active learning methods, which is expected to facilitate the acquisition of the professional skills most highly valued in the information and…
Use of Web Technology and Active Learning Strategies in a Quality Assessment Methods Course.
ERIC Educational Resources Information Center
Poirier, Therese I.; O'Neil, Christine K.
2000-01-01
The authors describe and evaluate quality assessment methods in a health care course that utilized web technology and various active learning strategies. The course was judged successful by student performance, evaluations and student assessments. The instructors were pleased with the outcomes achieved and the educational pedagogy used for this…
ERIC Educational Resources Information Center
Phelps, Cynthia L.; Willcockson, Irmgard U.; Houtz, Lynne
2004-01-01
A team of teachers, scientists, and high school students at the University of Texas Health Science Center at Houston has developed activities to teach concepts in learning through an inquiry-based laboratory method. The Learning Education and Research Network (LEARN) activities were field tested at the Society for Neuroscience Conference, in the…
Promoting Technology-Assisted Active Learning in Computer Science Education
ERIC Educational Resources Information Center
Gao, Jinzhu; Hargis, Jace
2010-01-01
This paper describes specific active learning strategies for teaching computer science, integrating both instructional technologies and non-technology-based strategies shown to be effective in the literature. The theoretical learning components addressed include an intentional method to help students build metacognitive abilities, as well as…
ERIC Educational Resources Information Center
Whitley, Meredith A.; Walsh, David; Hayden, Laura; Gould, Daniel
2017-01-01
Purpose: Three undergraduate students' experiences in a physical activity-based service learning course are chronicled using narrative inquiry. Method: Data collection included demographics questionnaires, pre- and postservice interviews, reflection journals, postservice written reflections, and participant observations. The data were analyzed…
Using Active Learning for Speeding up Calibration in Simulation Models.
Cevik, Mucahit; Ergun, Mehmet Ali; Stout, Natasha K; Trentham-Dietz, Amy; Craven, Mark; Alagoz, Oguzhan
2016-07-01
Most cancer simulation models include unobservable parameters that determine disease onset and tumor growth. These parameters play an important role in matching key outcomes such as cancer incidence and mortality, and their values are typically estimated via a lengthy calibration procedure, which involves evaluating a large number of combinations of parameter values via simulation. The objective of this study is to demonstrate how machine learning approaches can be used to accelerate the calibration process by reducing the number of parameter combinations that are actually evaluated. Active learning is a popular machine learning method that enables a learning algorithm such as artificial neural networks to interactively choose which parameter combinations to evaluate. We developed an active learning algorithm to expedite the calibration process. Our algorithm determines the parameter combinations that are more likely to produce desired outputs and therefore reduces the number of simulation runs performed during calibration. We demonstrate our method using the previously developed University of Wisconsin breast cancer simulation model (UWBCS). In a recent study, calibration of the UWBCS required the evaluation of 378 000 input parameter combinations to build a race-specific model, and only 69 of these combinations produced results that closely matched observed data. By using the active learning algorithm in conjunction with standard calibration methods, we identify all 69 parameter combinations by evaluating only 5620 of the 378 000 combinations. Machine learning methods hold potential in guiding model developers in the selection of more promising parameter combinations and hence speeding up the calibration process. Applying our machine learning algorithm to one model shows that evaluating only 1.49% of all parameter combinations would be sufficient for the calibration. © The Author(s) 2015.
Developing an Experiential Learning Program: Milestones and Challenges
ERIC Educational Resources Information Center
Austin, M. Jill; Rust, Dianna Zeh
2015-01-01
College and University faculty members have increasingly adopted experiential learning teaching methods that are designed to engage students in the learning process. Experiential learning is simply defined as "hands-on" learning and may involve any of the following activities: service learning, applied learning in the discipline,…
Schlesselman, Lauren; Borrego, Matthew; Mehta, Bella; Drobitch, Robert K.; Smith, Thomas
2015-01-01
Objective. To determine if the service-learning components used at a convenience sample of schools and colleges of pharmacy meet the intent of the 2001 AACP Professional Affairs Committee (PAC) report. Methods. An online questionnaire was used to survey faculty members or staff involved with service-learning education at their school of pharmacy. Questions addressed aspects of service-learning including types of activities used, duration of student involvement with community partners, and association of learning objectives with service-learning activities. Results. The majority (85.3%) of respondents reported their institution used service-learning. Activities reported as part of service-learning ranged from working at health fairs to involvement with pharmacy school recruitment. More than half (64.3%) of service-learning activities involved long-term interactions with one community partner, and 74.1% of respondents indicated there was always an opportunity for student reflection on the service-learning activity. Conclusion. There is increasing though inconsistent application of PAC guidelines regarding service-learning. PMID:26688584
ERIC Educational Resources Information Center
Webster, Collin A.; Nesbitt, Danielle; Lee, Heesu; Egan, Cate
2017-01-01
Purpose: The purpose of this study was to examine preservice physical education teachers' (PPET) service learning experiences planning and implementing course assignments aligned with comprehensive school physical activity program (CSPAP) recommendations. Methods: Based on service learning principles, PPETs (N = 18) enrolled in a physical…
Gregory, Ellyn; Soderman, Melinda; Ward, Christy; Beukelman, David R; Hux, Karen
2006-06-01
This study investigated the accuracy with which 30 young adults without disabilities learned abbreviation expansion codes associated with specific vocabulary items that were stored in an AAC device with two accessing methods: mouse access and keyboard access. Both accessing methods utilized a specialized computer application, called AAC Menu, which allowed for errorless practice. Mouse access prompted passive learning, whereas keyboard access prompted active learning. Results revealed that participants who accessed words via a keyboard demonstrated significantly higher mastery of abbreviation-expansion codes than those who accessed words via a computer mouse.
Applying active learning to supervised word sense disambiguation in MEDLINE.
Chen, Yukun; Cao, Hongxin; Mei, Qiaozhu; Zheng, Kai; Xu, Hua
2013-01-01
This study was to assess whether active learning strategies can be integrated with supervised word sense disambiguation (WSD) methods, thus reducing the number of annotated samples, while keeping or improving the quality of disambiguation models. We developed support vector machine (SVM) classifiers to disambiguate 197 ambiguous terms and abbreviations in the MSH WSD collection. Three different uncertainty sampling-based active learning algorithms were implemented with the SVM classifiers and were compared with a passive learner (PL) based on random sampling. For each ambiguous term and each learning algorithm, a learning curve that plots the accuracy computed from the test set as a function of the number of annotated samples used in the model was generated. The area under the learning curve (ALC) was used as the primary metric for evaluation. Our experiments demonstrated that active learners (ALs) significantly outperformed the PL, showing better performance for 177 out of 197 (89.8%) WSD tasks. Further analysis showed that to achieve an average accuracy of 90%, the PL needed 38 annotated samples, while the ALs needed only 24, a 37% reduction in annotation effort. Moreover, we analyzed cases where active learning algorithms did not achieve superior performance and identified three causes: (1) poor models in the early learning stage; (2) easy WSD cases; and (3) difficult WSD cases, which provide useful insight for future improvements. This study demonstrated that integrating active learning strategies with supervised WSD methods could effectively reduce annotation cost and improve the disambiguation models.
ERIC Educational Resources Information Center
Kupetz, Rita; Ziegenmeyer, Brigit
2005-01-01
The paper discusses a blended learning concept for a university teacher training course for prospective teachers of English. The concept aims at purposeful learning using different methods and activities, various traditional and electronic media, learning spaces covering contact and distance learning, and task-based learning modules that begin…
Reinforcement Learning with Orthonormal Basis Adaptation Based on Activity-Oriented Index Allocation
NASA Astrophysics Data System (ADS)
Satoh, Hideki
An orthonormal basis adaptation method for function approximation was developed and applied to reinforcement learning with multi-dimensional continuous state space. First, a basis used for linear function approximation of a control function is set to an orthonormal basis. Next, basis elements with small activities are replaced with other candidate elements as learning progresses. As this replacement is repeated, the number of basis elements with large activities increases. Example chaos control problems for multiple logistic maps were solved, demonstrating that the method for adapting an orthonormal basis can modify a basis while holding the orthonormality in accordance with changes in the environment to improve the performance of reinforcement learning and to eliminate the adverse effects of redundant noisy states.
Active and Interactive Discovery of Goal Selection Knowledge
2011-01-01
Generator retrieves the goal ct.g of the most similar case ct and outputs it to the Goal Manager. 5.3 Retention and Maintenance: Active Learning Figure...pp. 202-206). Seattle, WA: AAAI Press. Hu, R., Delaney, S.J., & Mac Namee, B. (2010). EGAL: Exploration guided active learning for TCBR. Proceedings...Sculley, D. (2007). Online active learning methods for fast label- efficient spam filtering. In Proceedings of the Fourth Conference on Email and Anti
Explorations in Statistics: Permutation Methods
ERIC Educational Resources Information Center
Curran-Everett, Douglas
2012-01-01
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This eighth installment of "Explorations in Statistics" explores permutation methods, empiric procedures we can use to assess an experimental result--to test a null hypothesis--when we are reluctant to trust statistical…
Wilson-Sands, Cathy; Brahn, Pamela; Graves, Kristal
2015-01-01
Validating participants' ability to correctly perform cardiopulmonary resuscitation (CPR) skills during basic life support courses can be a challenge for nursing professional development specialists. This study compares two methods of basic life support training, instructor-led and computer-based learning with voice-activated manikins, to identify if one method is more effective for performance of CPR skills. The findings suggest that a computer-based learning course with voice-activated manikins is a more effective method of training for improved CPR performance.
ERIC Educational Resources Information Center
Ince, Elif; Kirbaslar, Fatma Gulay; Yolcu, Ergun; Aslan, Ayse Esra; Kayacan, Zeynep Cigdem; Alkan Olsson, Johanna; Akbasli, Ayse Ceylan; Aytekin, Mesut; Bauer, Thomas; Charalambis, Dimitris; Gunes, Zeliha Ozsoy; Kandemir, Ceyhan; Sari, Umit; Turkoglu, Suleyman; Yaman, Yavuz; Yolcu, Ozgu
2014-01-01
The purpose of this study is to develop a 3-dimensional interactive multi-user and multi-admin IUVIRLAB featuring active learning methods and techniques for university students and to introduce the Virtual Laboratory of Istanbul University and to show effects of IUVIRLAB on students' attitudes on communication skills and IUVIRLAB. Although there…
Nissim, Nir; Shahar, Yuval; Boland, Mary Regina; Tatonetti, Nicholas P; Elovici, Yuval; Hripcsak, George; Moskovitch, Robert
2018-01-01
Background and Objectives Labeling instances by domain experts for classification is often time consuming and expensive. To reduce such labeling efforts, we had proposed the application of active learning (AL) methods, introduced our CAESAR-ALE framework for classifying the severity of clinical conditions, and shown its significant reduction of labeling efforts. The use of any of three AL methods (one well known [SVM-Margin], and two that we introduced [Exploitation and Combination_XA]) significantly reduced (by 48% to 64%) condition labeling efforts, compared to standard passive (random instance-selection) SVM learning. Furthermore, our new AL methods achieved maximal accuracy using 12% fewer labeled cases than the SVM-Margin AL method. However, because labelers have varying levels of expertise, a major issue associated with learning methods, and AL methods in particular, is how to best to use the labeling provided by a committee of labelers. First, we wanted to know, based on the labelers’ learning curves, whether using AL methods (versus standard passive learning methods) has an effect on the Intra-labeler variability (within the learning curve of each labeler) and inter-labeler variability (among the learning curves of different labelers). Then, we wanted to examine the effect of learning (either passively or actively) from the labels created by the majority consensus of a group of labelers. Methods We used our CAESAR-ALE framework for classifying the severity of clinical conditions, the three AL methods and the passive learning method, as mentioned above, to induce the classifications models. We used a dataset of 516 clinical conditions and their severity labeling, represented by features aggregated from the medical records of 1.9 million patients treated at Columbia University Medical Center. We analyzed the variance of the classification performance within (intra-labeler), and especially among (inter-labeler) the classification models that were induced by using the labels provided by seven labelers. We also compared the performance of the passive and active learning models when using the consensus label. Results The AL methods produced, for the models induced from each labeler, smoother Intra-labeler learning curves during the training phase, compared to the models produced when using the passive learning method. The mean standard deviation of the learning curves of the three AL methods over all labelers (mean: 0.0379; range: [0.0182 to 0.0496]), was significantly lower (p = 0.049) than the Intra-labeler standard deviation when using the passive learning method (mean: 0.0484; range: [0.0275 to 0.0724). Using the AL methods resulted in a lower mean Inter-labeler AUC standard deviation among the AUC values of the labelers’ different models during the training phase, compared to the variance of the induced models’ AUC values when using passive learning. The Inter-labeler AUC standard deviation, using the passive learning method (0.039), was almost twice as high as the Inter-labeler standard deviation using our two new AL methods (0.02 and 0.019, respectively). The SVM-Margin AL method resulted in an Inter-labeler standard deviation (0.029) that was higher by almost 50% than that of our two AL methods. The difference in the inter-labeler standard deviation between the passive learning method and the SVM-Margin learning method was significant (p = 0.042). The difference between the SVM-Margin and Exploitation method was insignificant (p = 0.29), as was the difference between the Combination_XA and Exploitation methods (p = 0.67). Finally, using the consensus label led to a learning curve that had a higher mean intra-labeler variance, but resulted eventually in an AUC that was at least as high as the AUC achieved using the gold standard label and that was always higher than the expected mean AUC of a randomly selected labeler, regardless of the choice of learning method (including a passive learning method). Using a paired t-test, the difference between the intra-labeler AUC standard deviation when using the consensus label, versus that value when using the other two labeling strategies, was significant only when using the passive learning method (p = 0.014), but not when using any of the three AL methods. Conclusions The use of AL methods, (a) reduces intra-labeler variability in the performance of the induced models during the training phase, and thus reduces the risk of halting the process at a local minimum that is significantly different in performance from the rest of the learned models; and (b) reduces Inter-labeler performance variance, and thus reduces the dependence on the use of a particular labeler. In addition, the use of a consensus label, agreed upon by a rather uneven group of labelers, might be at least as good as using the gold standard labeler, who might not be available, and certainly better than randomly selecting one of the group’s individual labelers. Finally, using the AL methods when provided by the consensus label reduced the intra-labeler AUC variance during the learning phase, compared to using passive learning. PMID:28456512
NASA Astrophysics Data System (ADS)
Sokoloff, David R.
2005-10-01
Widespread physics education research has shown that most introductory physics students have difficulty learning essential optics concepts - even in the best of traditional courses, and that well-designed active learning approaches can remedy this problem. This mini-workshop and the associated poster session will provide direct experience with methods for promoting students' active involvement in the learning process in lecture and laboratory. Participants will have hands-on experience with activities from RealTime Physics labs and Interactive Lecture Demonstrations - a learning strategy for large (and small) lectures, including specially designed Optics Magic Tricks. The poster will provide more details on these highly effective curricula.
ERIC Educational Resources Information Center
Coticone, Sulekha Rao
2013-01-01
To incorporate an active learning component in a one-semester biochemistry course, students were asked to create crossword puzzles using key concepts. Student observations on the use of self-made crossword puzzles as an active-learning instructional tool were collected using a 5-point Likert survey at the end of the semester. A majority of the…
ERIC Educational Resources Information Center
Diederich, Kirsten Bakke
2010-01-01
In response to the declining number of students in the United States entering into the STEM (science, technology, engineering, and math) disciplines, there has been an attempt to retain student interest in the sciences through the implementation of more active learning in the classroom. Active learning is defined as any instructional method that…
Nissim, Nir; Shahar, Yuval; Elovici, Yuval; Hripcsak, George; Moskovitch, Robert
2017-09-01
Labeling instances by domain experts for classification is often time consuming and expensive. To reduce such labeling efforts, we had proposed the application of active learning (AL) methods, introduced our CAESAR-ALE framework for classifying the severity of clinical conditions, and shown its significant reduction of labeling efforts. The use of any of three AL methods (one well known [SVM-Margin], and two that we introduced [Exploitation and Combination_XA]) significantly reduced (by 48% to 64%) condition labeling efforts, compared to standard passive (random instance-selection) SVM learning. Furthermore, our new AL methods achieved maximal accuracy using 12% fewer labeled cases than the SVM-Margin AL method. However, because labelers have varying levels of expertise, a major issue associated with learning methods, and AL methods in particular, is how to best to use the labeling provided by a committee of labelers. First, we wanted to know, based on the labelers' learning curves, whether using AL methods (versus standard passive learning methods) has an effect on the Intra-labeler variability (within the learning curve of each labeler) and inter-labeler variability (among the learning curves of different labelers). Then, we wanted to examine the effect of learning (either passively or actively) from the labels created by the majority consensus of a group of labelers. We used our CAESAR-ALE framework for classifying the severity of clinical conditions, the three AL methods and the passive learning method, as mentioned above, to induce the classifications models. We used a dataset of 516 clinical conditions and their severity labeling, represented by features aggregated from the medical records of 1.9 million patients treated at Columbia University Medical Center. We analyzed the variance of the classification performance within (intra-labeler), and especially among (inter-labeler) the classification models that were induced by using the labels provided by seven labelers. We also compared the performance of the passive and active learning models when using the consensus label. The AL methods: produced, for the models induced from each labeler, smoother Intra-labeler learning curves during the training phase, compared to the models produced when using the passive learning method. The mean standard deviation of the learning curves of the three AL methods over all labelers (mean: 0.0379; range: [0.0182 to 0.0496]), was significantly lower (p=0.049) than the Intra-labeler standard deviation when using the passive learning method (mean: 0.0484; range: [0.0275-0.0724). Using the AL methods resulted in a lower mean Inter-labeler AUC standard deviation among the AUC values of the labelers' different models during the training phase, compared to the variance of the induced models' AUC values when using passive learning. The Inter-labeler AUC standard deviation, using the passive learning method (0.039), was almost twice as high as the Inter-labeler standard deviation using our two new AL methods (0.02 and 0.019, respectively). The SVM-Margin AL method resulted in an Inter-labeler standard deviation (0.029) that was higher by almost 50% than that of our two AL methods The difference in the inter-labeler standard deviation between the passive learning method and the SVM-Margin learning method was significant (p=0.042). The difference between the SVM-Margin and Exploitation method was insignificant (p=0.29), as was the difference between the Combination_XA and Exploitation methods (p=0.67). Finally, using the consensus label led to a learning curve that had a higher mean intra-labeler variance, but resulted eventually in an AUC that was at least as high as the AUC achieved using the gold standard label and that was always higher than the expected mean AUC of a randomly selected labeler, regardless of the choice of learning method (including a passive learning method). Using a paired t-test, the difference between the intra-labeler AUC standard deviation when using the consensus label, versus that value when using the other two labeling strategies, was significant only when using the passive learning method (p=0.014), but not when using any of the three AL methods. The use of AL methods, (a) reduces intra-labeler variability in the performance of the induced models during the training phase, and thus reduces the risk of halting the process at a local minimum that is significantly different in performance from the rest of the learned models; and (b) reduces Inter-labeler performance variance, and thus reduces the dependence on the use of a particular labeler. In addition, the use of a consensus label, agreed upon by a rather uneven group of labelers, might be at least as good as using the gold standard labeler, who might not be available, and certainly better than randomly selecting one of the group's individual labelers. Finally, using the AL methods: when provided by the consensus label reduced the intra-labeler AUC variance during the learning phase, compared to using passive learning. Copyright © 2017 Elsevier B.V. All rights reserved.
Kelley, Daniel J; Johnson, Sterling C
2007-01-01
Background With rapid advances in functional imaging methods, human studies that feature functional neuroimaging techniques are increasing exponentially and have opened a vast arena of new possibilities for understanding brain function and improving the care of patients with cognitive disorders in the clinical setting. There is a growing need for medical centers to offer clinically relevant functional neuroimaging courses that emphasize the multifaceted and multidisciplinary nature of this field. In this paper, we describe the implementation of a functional neuroimaging course focusing on cognitive disorders that might serve as a model for other medical centers. We identify key components of an active learning course design that impact student learning gains in methods and issues pertaining to functional neuroimaging that deserve consideration when optimizing the medical neuroimaging curriculum. Methods Learning gains associated with the course were assessed using polychoric correlation analysis of responses to the SALG (Student Assessment of Learning Gains) instrument. Results Student gains in the functional neuroimaging of cognition as assessed by the SALG instrument were strongly associated with several aspects of the course design. Conclusion Our implementation of a multidisciplinary and active learning functional neuroimaging course produced positive learning outcomes. Inquiry-based learning activities and an online learning environment contributed positively to reported gains. This functional neuroimaging course design may serve as a useful model for other medical centers. PMID:17953758
ERIC Educational Resources Information Center
Wen, Fei; Khera, Eshita
2016-01-01
Despite the instinctive perception of mass and heat transfer principles in daily life, productive learning in this course continues to be one of the greatest challenges for undergraduate students in chemical engineering. In an effort to enhance student learning in classroom, we initiated an innovative active-learning method titled…
Incorporating conditional random fields and active learning to improve sentiment identification.
Zhang, Kunpeng; Xie, Yusheng; Yang, Yi; Sun, Aaron; Liu, Hengchang; Choudhary, Alok
2014-10-01
Many machine learning, statistical, and computational linguistic methods have been developed to identify sentiment of sentences in documents, yielding promising results. However, most of state-of-the-art methods focus on individual sentences and ignore the impact of context on the meaning of a sentence. In this paper, we propose a method based on conditional random fields to incorporate sentence structure and context information in addition to syntactic information for improving sentiment identification. We also investigate how human interaction affects the accuracy of sentiment labeling using limited training data. We propose and evaluate two different active learning strategies for labeling sentiment data. Our experiments with the proposed approach demonstrate a 5%-15% improvement in accuracy on Amazon customer reviews compared to existing supervised learning and rule-based methods. Copyright © 2014 Elsevier Ltd. All rights reserved.
Active learning for noisy oracle via density power divergence.
Sogawa, Yasuhiro; Ueno, Tsuyoshi; Kawahara, Yoshinobu; Washio, Takashi
2013-10-01
The accuracy of active learning is critically influenced by the existence of noisy labels given by a noisy oracle. In this paper, we propose a novel pool-based active learning framework through robust measures based on density power divergence. By minimizing density power divergence, such as β-divergence and γ-divergence, one can estimate the model accurately even under the existence of noisy labels within data. Accordingly, we develop query selecting measures for pool-based active learning using these divergences. In addition, we propose an evaluation scheme for these measures based on asymptotic statistical analyses, which enables us to perform active learning by evaluating an estimation error directly. Experiments with benchmark datasets and real-world image datasets show that our active learning scheme performs better than several baseline methods. Copyright © 2013 Elsevier Ltd. All rights reserved.
`Not hard to sway': a case study of student engagement in two large engineering classes
NASA Astrophysics Data System (ADS)
Shekhar, Prateek; Borrego, Maura
2018-07-01
Although engineering education research has empirically validated the effectiveness of active learning in improving student learning over traditional lecture-based methods, the adoption of active learning in classrooms has been slow. One of the greatest reported barriers is student resistance towards engagement in active learning exercises. This paper argues that the level of student engagement in active learning classrooms is an interplay of social and physical classroom characteristics. Using classroom observations and instructor interviews, this study describes the influence of the interaction of student response systems and classroom layout on student engagement in two large active-learning-based engineering classrooms. The findings suggest that the use of different student response systems in combination with cluster-style seating arrangements can increase student engagement in large classrooms.
Learning by strategies and learning by drill--evidence from an fMRI study.
Delazer, M; Ischebeck, A; Domahs, F; Zamarian, L; Koppelstaetter, F; Siedentopf, C M; Kaufmann, L; Benke, T; Felber, S
2005-04-15
The present fMRI study investigates, first, whether learning new arithmetic operations is reflected by changing cerebral activation patterns, and second, whether different learning methods lead to differential modifications of brain activation. In a controlled design, subjects were trained over a week on two new complex arithmetic operations, one operation trained by the application of back-up strategies, i.e., a sequence of arithmetic operations, the other by drill, i.e., by learning the association between the operands and the result. In the following fMRI session, new untrained items, items trained by strategy and items trained by drill, were assessed using an event-related design. Untrained items as compared to trained showed large bilateral parietal activations, with the focus of activation along the right intraparietal sulcus. Further foci of activation were found in both inferior frontal gyri. The reverse contrast, trained vs. untrained, showed a more focused activation pattern with activation in both angular gyri. As suggested by the specific activation patterns, newly acquired expertise was implemented in previously existing networks of arithmetic processing and memory. Comparisons between drill and strategy conditions suggest that successful retrieval was associated with different brain activation patterns reflecting the underlying learning methods. While the drill condition more strongly activated medial parietal regions extending to the left angular gyrus, the strategy condition was associated to the activation of the precuneus which may be accounted for by visual imagery in memory retrieval.
Like a Chameleon: A Beginning Teacher's Journey to Implement Active Learning
ERIC Educational Resources Information Center
Edwards, Susan
2017-01-01
The purpose of this study was to follow the learning trajectory of a beginning teacher attempting to implement active learning instructional methods in a middle grades classroom. The study utilized a qualitative case study methodological approach with the researcher in the role of participant observer. Three research questions were explored: the…
Teaching for Engagement: Part 2: Technology in the Service of Active Learning
ERIC Educational Resources Information Center
Hunter, William J.
2015-01-01
In the first piece in this series ("Teaching for Engagement: Part 1: Constructivist Principles, Case-Based Teaching, and Active Learning"), William Hunter sought to make the case that a wide range of teaching methods (e.g., case-based teaching, problem-based learning, anchored instruction) that share an intellectual grounding in…
Information Activities and Appropriation in Teacher Trainees' Digital, Group-Based Learning
ERIC Educational Resources Information Center
Hanell, Fredrik
2016-01-01
Introduction: This paper reports results from an ethnographic study of teacher trainees' information activities in digital, group-based learning and their relation to the interplay between use and appropriation of digital tools and the learning environment. Method: The participants in the present study are 249 pre-school teacher trainees in…
Don't Dump the Didactic Lecture; Fix It
ERIC Educational Resources Information Center
Richardson, Daniel
2008-01-01
Numerous articles have been published on the merits of active learning, and collectively they present a body of compelling evidence that these methods do enhance learning. In presenting arguments for active learning, it is often suggested that the traditional didactic lecture is more passive in nature and less effective as a teaching tool.…
ERIC Educational Resources Information Center
Vaughn, Brandon K.
2009-01-01
This study considers the effectiveness of a "balanced amalgamated" approach to teaching graduate level introductory statistics. Although some research stresses replacing traditional lectures with more active learning methods, the approach of this study is to combine effective lecturing with active learning and team projects. The results of this…
ERIC Educational Resources Information Center
Jones, Monty; Dexter, Sara
2018-01-01
This mixed-methods study examined the technology integration learning activities of four teachers throughout one year using weekly quantitative surveys and a series of three qualitative individual interviews. Through the teachers' own voices an illustration of their learning processes is presented, and the gap between what is supported by their…
NASA Astrophysics Data System (ADS)
Misnasanti; Dien, C. A.; Azizah, F.
2018-03-01
This study is aimed to describe Lesson Study (LS) activity and its roles in the development of mathematics learning instruments based on Learning Trajectory (LT). This study is a narrative study of teacher’s experiences in joining LS activity. Data collecting in this study will use three methods such as observation, documentations, and deep interview. The collected data will be analyzed with Milles and Huberman’s model that consists of reduction, display, and verification. The study result shows that through LS activity, teachers know more about how students think. Teachers also can revise their mathematics learning instrument in the form of lesson plan. It means that LS activity is important to make a better learning instruments and focus on how student learn not on how teacher teach.
Developing nursing ethical competences online versus in the traditional classroom.
Trobec, Irena; Starcic, Andreja Istenic
2015-05-01
The development of society and science, especially medical science, gives rise to new moral and ethical challenges in healthcare. In order to respond to the contemporary challenges that require autonomous decision-making in different work contexts, a pedagogical experiment was conducted to identify the readiness and responsiveness of current organisation of nursing higher education in Slovenia. It compared the successfulness of active learning methods online (experimental group) and in the traditional classroom (control group) and their impact on the ethical competences of nursing students. The hypothesis set in the experiment, hypothesis 1 (the experimental group will be successful and will have good achievements in comprehension and application of ethical principles) was confirmed based on pre-tests and post-tests. The hypothesis tested by the questionnaire, hypothesis 2 (according to the students, the active learning methods online in the experimental group have a positive impact on the development of ethical competences) was confirmed. The pedagogical experiment was supported by a multiple-case study that enabled the in-depth analysis of the students' attitudes towards the active learning methods in both settings. The study included Slovenian first-year nursing students (N = 211) of all the enrolled students (N = 225) at the University of Ljubljana and University of Primorska in the academic year 2010/2011. Before the study ethical permission was obtained from the managements of both participating faculties. The students were given all the necessary information of the experiment before the tutorials. No significant difference was found between the two learning settings and both had a positive impact upon learning. The results of the content analysis show that the students' active engagement with the active learning methods in the group enables the development of ethical competences and the related communicative competences, interpersonal skills, collaboration and critical thinking. Active learning methods in the settings compared, online and the traditional classroom, enabled the development of a higher level of knowledge defined by the ability of critical thinking and reflective response, the core of ethical competences. Students develop ethical competence through active engagement in a group work, role play and discussion, and there is no difference between online or traditional learning settings. In the healthcare, it is crucial for providers to be capable of making autonomous decisions and managing various communication situations and contexts in which the moral attitudes and ethical sensibility are essential. © The Author(s) 2014.
ERIC Educational Resources Information Center
Mahmoudabadi, Zahra
2017-01-01
This study has two main objectives: first, to find traces of teaching methods in a language class and second, to study the relationship between intended learning outcomes and uptake, which is defined as what students claim to have learned. In order to identify the teaching method, after five sessions of observation, class activities and procedures…
ERIC Educational Resources Information Center
Gomleksiz, M. N.
2007-01-01
The present study compares the effects of the cooperative jigsaw II method and traditional teacher-centred teaching method on improving vocabulary knowledge and active-passive voice in English as a foreign language for engineering students and the students' attitudes towards learning English. Jigsaw is a cooperative learning model that involves…
ERIC Educational Resources Information Center
Paschalis, Giorgos
2017-01-01
Collaborative project-based learning is well established as a component of several courses in higher education, since it seems to motivate students and make them active in the learning process. Collaborative Project-Based Learning methods are demanded so that tutors become able to intervene and guide the students in flexible ways: by encouraging…
Effect of Active Lessons on Physical Activity, Academic, and Health Outcomes: A Systematic Review
ERIC Educational Resources Information Center
Martin, Rosemarie; Murtagh, Elaine M.
2017-01-01
Purpose: The purpose of this study was to conduct a systematic review of classroom-based physical activity interventions that integrate academic content and assess the effectiveness of the interventions on physical activity, learning, facilitators of learning, and health outcomes. Method: Six electronic databases (ERIC, PubMed, Google Scholar,…
[Supporting an Academic Society with the Active Learning Tool Clica].
Arai, Kensuke; Mitsubori, Masahiro
2018-01-01
Within school classrooms, Active Learning has been receiving unprecedented attention. Indeed, Active Learning's popularity does not stop in the classroom. As more and more people argue that the Japanese government needs to renew guidelines for education, Active Learning has surfaced as a method capable of providing the necessary knowledge and training for people in all areas of society, helping them reach their full potential. It has become accepted that Active Learning is more effective over the passive listening of lectures, where there is little to no interaction. Active Learning emphasizes that learners explain their thoughts, ask questions, and express their opinions, resulting in a better retention rate of the subject at hand. In this review, I introduce an Active Learning support tool developed at Digital Knowledge, "Clica". This tool is currently being used at many educational institutions. I will also introduce an online questionnaire that Digital Knowledge provided at the 10th Annual Meeting of the Japanese Society for Pharmaceutical Palliative Care and Sciences.
Effectiveness of Project Based Learning in Statistics for Lower Secondary Schools
ERIC Educational Resources Information Center
Siswono, Tatag Yuli Eko; Hartono, Sugi; Kohar, Ahmad Wachidul
2018-01-01
Purpose: This study aimed at investigating the effectiveness of implementing Project Based Learning (PBL) on the topic of statistics at a lower secondary school in Surabaya city, Indonesia, indicated by examining student learning outcomes, student responses, and student activity. Research Methods: A quasi experimental method was conducted over two…
A Natural Teaching Method Based on Learning Theory.
ERIC Educational Resources Information Center
Smilkstein, Rita
1991-01-01
The natural teaching method is active and student-centered, based on schema and constructivist theories, and informed by research in neuroplasticity. A schema is a mental picture or understanding of something we have learned. Humans can have knowledge only to the degree to which they have constructed schemas from learning experiences and practice.…
Status of the Usage of Active Learning and Teaching Method and Techniques by Social Studies Teachers
ERIC Educational Resources Information Center
Akman, Özkan
2016-01-01
The purpose of this study was to determine the active learning and teaching methods and techniques which are employed by the social studies teachers working in state schools of Turkey. This usage status was assessed using different variables. This was a case study, wherein the research was limited to 241 social studies teachers. These teachers…
Learning challenges and sustainable development: A methodological perspective.
Seppänen, Laura
2017-01-01
Sustainable development requires learning, but the contents of learning are often complex and ambiguous. This requires new integrated approaches from research. It is argued that investigation of people's learning challenges in every-day work is beneficial for research on sustainable development. The aim of the paper is to describe a research method for examining learning challenges in promoting sustainable development. This method is illustrated with a case example from organic vegetable farming in Finland. The method, based on Activity Theory, combines historical analysis with qualitative analysis of need expressions in discourse data. The method linking local and subjective need expressions with general historical analysis is a promising way to overcome the gap between the individual and society, so much needed in research for sustainable development. Dialectically informed historical frameworks have practical value as tools in collaborative negotiations and participatory designs for sustainable development. The simultaneous use of systemic and subjective perspectives allows researchers to manage the complexity of practical work activities and to avoid too simplistic presumptions about sustainable development.
ERIC Educational Resources Information Center
Leese, Maggie
2009-01-01
With increasing student numbers and a diverse student body, it is crucial to consider a range of methods to engage students in learning and teaching activities. This project was used to encourage 1st-year undergraduate students to engage in out of class activities between taught sessions. The project used a virtual learning environment (VLE) known…
Reducing Annotation Effort Using Generalized Expectation Criteria
2007-11-30
constraints additionally consider input variables. Active learning is a related problem in which the learner can choose the particular instances to be...labeled. In pool-based active learning [Cohn et al., 1994], the learner has access to a set of unlabeled instances, and can choose the instance that...has the highest expected utility according to some metric. A standard pool- based active learning method is uncertainty sampling [Lewis and Catlett
Ma, Sisi; Kemmeren, Patrick; Aliferis, Constantin F.; Statnikov, Alexander
2016-01-01
Reverse-engineering of causal pathways that implicate diseases and vital cellular functions is a fundamental problem in biomedicine. Discovery of the local causal pathway of a target variable (that consists of its direct causes and direct effects) is essential for effective intervention and can facilitate accurate diagnosis and prognosis. Recent research has provided several active learning methods that can leverage passively observed high-throughput data to draft causal pathways and then refine the inferred relations with a limited number of experiments. The current study provides a comprehensive evaluation of the performance of active learning methods for local causal pathway discovery in real biological data. Specifically, 54 active learning methods/variants from 3 families of algorithms were applied for local causal pathways reconstruction of gene regulation for 5 transcription factors in S. cerevisiae. Four aspects of the methods’ performance were assessed, including adjacency discovery quality, edge orientation accuracy, complete pathway discovery quality, and experimental cost. The results of this study show that some methods provide significant performance benefits over others and therefore should be routinely used for local causal pathway discovery tasks. This study also demonstrates the feasibility of local causal pathway reconstruction in real biological systems with significant quality and low experimental cost. PMID:26939894
Interactive lecture demonstrations, active learning, and the ALOP project
NASA Astrophysics Data System (ADS)
Lakshminarayanan, Vasudevan
2011-05-01
There is considerable evidence from the physics education literature that traditional approaches are ineffective in teaching physics concepts. A better teaching method is to use the active learning environment, which can be created using interactive lecture demonstrations. Based on the active learning methodology and within the framework of the UNESCO mandate in physics education and introductory physics, the ALOP project (active learning in optics and photonics) was started in 2003, to provide a focus on an experimental area that is adaptable and relevant to research and educational conditions in many developing countries. This project is discussed in this paper.
New technologies for examining the role of neuronal ensembles in drug addiction and fear.
Cruz, Fabio C; Koya, Eisuke; Guez-Barber, Danielle H; Bossert, Jennifer M; Lupica, Carl R; Shaham, Yavin; Hope, Bruce T
2013-11-01
Correlational data suggest that learned associations are encoded within neuronal ensembles. However, it has been difficult to prove that neuronal ensembles mediate learned behaviours because traditional pharmacological and lesion methods, and even newer cell type-specific methods, affect both activated and non-activated neurons. In addition, previous studies on synaptic and molecular alterations induced by learning did not distinguish between behaviourally activated and non-activated neurons. Here, we describe three new approaches--Daun02 inactivation, FACS sorting of activated neurons and Fos-GFP transgenic rats--that have been used to selectively target and study activated neuronal ensembles in models of conditioned drug effects and relapse. We also describe two new tools--Fos-tTA transgenic mice and inactivation of CREB-overexpressing neurons--that have been used to study the role of neuronal ensembles in conditioned fear.
Kinespell: Kinesthetic Learning Activity and Assessment in a Digital Game-Based Learning Environment
NASA Astrophysics Data System (ADS)
Cariaga, Ada Angeli; Salvador, Jay Andrae; Solamo, Ma. Rowena; Feria, Rommel
Various approaches in learning are commonly classified into visual, auditory and kinesthetic (VAK) learning styles. One way of addressing the VAK learning styles is through game-based learning which motivates learners pursue knowledge holistically. The paper presents Kinespell, an unconventional method of learning through digital game-based learning. Kinespell is geared towards enhancing not only the learner’s spelling abilities but also the motor skills through utilizing wireless controllers. It monitors player’s performance through integrated assessment scheme. Results show that Kinespell may accommodate the VAK learning styles and is a promising alternative to established methods in learning and assessing students’ performance in Spelling.
Teaching genetics using hands-on models, problem solving, and inquiry-based methods
NASA Astrophysics Data System (ADS)
Hoppe, Stephanie Ann
Teaching genetics can be challenging because of the difficulty of the content and misconceptions students might hold. This thesis focused on using hands-on model activities, problem solving, and inquiry-based teaching/learning methods in order to increase student understanding in an introductory biology class in the area of genetics. Various activities using these three methods were implemented into the classes to address any misconceptions and increase student learning of the difficult concepts. The activities that were implemented were shown to be successful based on pre-post assessment score comparison. The students were assessed on the subjects of inheritance patterns, meiosis, and protein synthesis and demonstrated growth in all of the areas. It was found that hands-on models, problem solving, and inquiry-based activities were more successful in learning concepts in genetics and the students were more engaged than tradition styles of lecture.
ERIC Educational Resources Information Center
Barnes, Marianne B.; Foley, Kathleen R.
1999-01-01
Investigates three approaches to hands-on science learning in two contexts, an elementary science methods class and a secondary science methods class. Focused on an activity on foam. Concludes that when developing models for teaching science methods courses, methods instructors need to share power with prospective teachers. (Author/MM)
Critical Communication Pedagogy and Service Learning in a Mixed-Method Communication Research Course
ERIC Educational Resources Information Center
Rudick, C. Kyle; Golsan, Kathryn B.; Freitag, Jennifer
2018-01-01
Course: Mixed-Method Communication Research Methods. Objective: The purpose of this semester-long activity is to provide students with opportunities to cultivate mixed-method communication research skills through a social justice-informed service-learning format. Completing this course, students will be able to: recognize the unique strengths of…
Active Learning in a Math for Liberal Arts Classroom
ERIC Educational Resources Information Center
Lenz, Laurie
2015-01-01
Inquiry-based learning is a topic of growing interest in the mathematical community. Much of the focus has been on using these methods in calculus and higher-level classes. This article describes the design and implementation of a set of inquiry-based learning activities in a Math for Liberal Arts course at a small, private, Catholic college.…
Strategic Steps to Successful Service-Learning in TESOL: From Critical to Practical
ERIC Educational Resources Information Center
Perren, James
2013-01-01
The purpose of this article is to share pedagogical materials and activities which can help TESOL practitioners prepare service-learning activities inside and outside the classroom. This study utilizes action research tools to improve academic service-learning in TESOL as a holistic approach to problem solving rather than a single method for…
ERIC Educational Resources Information Center
Hwang, Wu-Yuin; Shih, Timothy K.; Ma, Zhao-Heng; Shadiev, Rustam; Chen, Shu-Yu
2016-01-01
Game-based learning activities that facilitate students' listening and speaking skills were designed in this study. To participate in learning activities, students in the control group used traditional methods, while students in the experimental group used a mobile system. In our study, we looked into the feasibility of mobile game-based learning…
ERIC Educational Resources Information Center
Kasuma, Shaidatul Akma Adi
2017-01-01
This paper identifies Malaysian university students' needs and preferences for online English language activities on a Facebook group that supports their formal learning. Two methods of data collection were employed; content analysis of the Facebook interactions, and semi structured interviews. Four main learning preferences or characteristics of…
Twitter Micro-Blogging Based Mobile Learning Approach to Enhance the Agriculture Education Process
ERIC Educational Resources Information Center
Dissanayeke, Uvasara; Hewagamage, K. P.; Ramberg, Robert; Wikramanayake, G. N.
2013-01-01
The study intends to see how to introduce mobile learning within the domain of agriculture so as to enhance the agriculture education process. We propose to use the Activity theory together with other methodologies such as participatory methods to design, implement, and evaluate mLearning activities. The study explores the process of introducing…
MLS student active learning within a "cloud" technology program.
Tille, Patricia M; Hall, Heather
2011-01-01
In November 2009, the MLS program in a large public university serving a geographically large, sparsely populated state instituted an initiative for the integration of technology enhanced teaching and learning within the curriculum. This paper is intended to provide an introduction to the system requirements and sample instructional exercises used to create an active learning technology-based classroom. Discussion includes the following: 1.) define active learning and the essential components, 2.) summarize teaching methods, technology and exercises utilized within a "cloud" technology program, 3.) describe a "cloud" enhanced classroom and programming 4.) identify active learning tools and exercises that can be implemented into laboratory science programs, and 5.) describe the evaluation and assessment of curriculum changes and student outcomes. The integration of technology in the MLS program is a continual process and is intended to provide student-driven active learning experiences.
Learning Motivation and Retention Effects of Pair Programming in Data Structures Courses
ERIC Educational Resources Information Center
Yang, Ya-Fei; Lee, Chien-I; Chang, Chih-Kai
2016-01-01
Collaborative learning is an activity in which two or more students learn something together. Many studies have found that collaborative learning improve students' memory retention and motivation to learn. Peer Instruction (PI) is one of the most successful evidence-based collaborative learning methods. This article investigates issues of student…
Hypermedia in Vocational Learning: A Hypermedia Learning Environment for Training Management Skills
ERIC Educational Resources Information Center
Konradt, Udo
2004-01-01
A learning environment is defined as an arrangement of issues, methods, techniques, and media in a given domain. Besides temporal and spatial features a learning environment considers the social situation in which learning takes place. In (hypermedia) learning environments the concept of exploration and the active role of the learner is…
Concept Cartoons Supported Problem Based Learning Method in Middle School Science Classrooms
ERIC Educational Resources Information Center
Balim, Ali Günay; Inel-Ekici, Didem; Özcan, Erkan
2016-01-01
Problem based learning, in which events from daily life are presented as interesting scenarios, is one of the active learning approaches that encourages students to self-direct learning. Problem based learning, generally used in higher education, requires students to use high end thinking skills in learning environments. In order to use…
Moving Beyond the Training Room: Fostering Workplace Learning through Online Journaling
ERIC Educational Resources Information Center
Cyboran, Vincent L.
2005-01-01
A variety of instructional methods have been shown to be effective in fostering employee learning in workplace training. These include problem-based learning, cooperative learning, and situated learning. Despite their success, however, there are at least two important reasons to actively foster learning beyond the training room: The transfer of…
Jahromi, Zohreh Badiyepeymaie; Mosalanejad, Leili
2015-01-01
Introduction: Web Quest is one of the new ways of teaching and learning that is based on research, and includes the principles of learning and cognitive activities, such as collaborative learning, social and cognitive learning, and active learning, and increases motivation. The aim of this study is to evaluate the Web Quest influence on students’ learning behaviors. Materials and Methods: In this quasi-experimental study, which was performed on undergraduates taking a psychiatric course at Jahrom University of Medical Sciences, simple sampling was used to select the cases to be studied; the students entered the study through census and were trained according toWeb Quest methodology. The procedure was to present the course as a case study and team work. Each topic included discussing concepts and then patient’s treatment and the communicative principles for two weeks. Active participation of the students in response to the scenario and introduced problem was equal to preparing scientific videos about the disease and collecting the latest medical treatment for the disease from the Internet. Three questionnaires, including the self-directed learning Questionnaire, teamwork evaluation Questionnaire (value of team), and Buffard self-regulated Questionnaire, were the data gathering tools. Results: The results showed that the average of self-regulated learning and self-directed learning (SDL) increased after the educational intervention. However, the increase was not significant. On the other hand, problem solving (P=0.001) and the value of teamwork (P=0.002), apart from increasing the average, had significant statistical values. Conclusions: In view of Web Quest’s positive impacts on students’ learning behaviors, problem solving and teamwork, the effective use of active learning and teaching practices and use of technology in medical education are recommended. PMID:25946931
2009-05-01
Appendix 9.1. Learning Styles & Pedagogical Theory Overview Educational theory plays a foundational role for the methodology and the development...of ALPs. We selected two methods to categorize student’s learning styles: (1) MBTI, (2) VARK, and five models of the learning process: (1) Kolb , (2... learning process which gives our work a more balanced foundation than may be possible if one bases their approach on one or two theories only, 2) our work
ASPECT: A Survey to Assess Student Perspective of Engagement in an Active-Learning Classroom
Wiggins, Benjamin L.; Eddy, Sarah L.; Wener-Fligner, Leah; Freisem, Karen; Grunspan, Daniel Z.; Theobald, Elli J.; Timbrook, Jerry; Crowe, Alison J.
2017-01-01
The primary measure used to determine relative effectiveness of in-class activities has been student performance on pre/posttests. However, in today’s active-learning classrooms, learning is a social activity, requiring students to interact and learn from their peers. To develop effective active-learning exercises that engage students, it is important to gain a more holistic view of the student experience in an active-learning classroom. We have taken a mixed-methods approach to iteratively develop and validate a 16-item survey to measure multiple facets of the student experience during active-learning exercises. The instrument, which we call Assessing Student Perspective of Engagement in Class Tool (ASPECT), was administered to a large introductory biology class, and student responses were subjected to exploratory factor analysis. The 16 items loaded onto three factors that cumulatively explained 52% of the variation in student response: 1) value of activity, 2) personal effort, and 3) instructor contribution. ASPECT provides a rapid, easily administered means to measure student perception of engagement in an active-learning classroom. Gaining a better understanding of students’ level of engagement will help inform instructor best practices and provide an additional measure for comprehensively assessing the impact of different active-learning strategies. PMID:28495936
Active-learning processes used in US pharmacy education.
Stewart, David W; Brown, Stacy D; Clavier, Cheri W; Wyatt, Jarrett
2011-05-10
To document the type and extent of active-learning techniques used in US colleges and schools of pharmacy as well as factors associated with use of these techniques. A survey instrument was developed to assess whether and to what extent active learning was used by faculty members of US colleges and schools of pharmacy. This survey instrument was distributed via the American Association of Colleges of Pharmacy (AACP) mailing list. Ninety-five percent (114) of all US colleges and schools of pharmacy were represented with at least 1 survey among the 1179 responses received. Eighty-seven percent of respondents used active-learning techniques in their classroom activities. The heavier the teaching workload the more active-learning strategies were used. Other factors correlated with higher use of active-learning strategies included younger faculty member age (inverse relationship), lower faculty member rank (inverse relationship), and departments that focused on practice, clinical and social, behavioral, and/or administrative sciences. Active learning has been embraced by pharmacy educators and is used to some extent by the majority of US colleges and schools of pharmacy. Future research should focus on how active-learning methods can be used most effectively within pharmacy education, how it can gain even broader acceptance throughout the academy, and how the effect of active learning on programmatic outcomes can be better documented.
Rock, Adam J.; Coventry, William L.; Morgan, Methuen I.; Loi, Natasha M.
2016-01-01
Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology. PMID:27014147
Rock, Adam J; Coventry, William L; Morgan, Methuen I; Loi, Natasha M
2016-01-01
Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology.
Implementation of K-Means Clustering Method for Electronic Learning Model
NASA Astrophysics Data System (ADS)
Latipa Sari, Herlina; Suranti Mrs., Dewi; Natalia Zulita, Leni
2017-12-01
Teaching and Learning process at SMK Negeri 2 Bengkulu Tengah has applied e-learning system for teachers and students. The e-learning was based on the classification of normative, productive, and adaptive subjects. SMK Negeri 2 Bengkulu Tengah consisted of 394 students and 60 teachers with 16 subjects. The record of e-learning database was used in this research to observe students’ activity pattern in attending class. K-Means algorithm in this research was used to classify students’ learning activities using e-learning, so that it was obtained cluster of students’ activity and improvement of student’s ability. Implementation of K-Means Clustering method for electronic learning model at SMK Negeri 2 Bengkulu Tengah was conducted by observing 10 students’ activities, namely participation of students in the classroom, submit assignment, view assignment, add discussion, view discussion, add comment, download course materials, view article, view test, and submit test. In the e-learning model, the testing was conducted toward 10 students that yielded 2 clusters of membership data (C1 and C2). Cluster 1: with membership percentage of 70% and it consisted of 6 members, namely 1112438 Anggi Julian, 1112439 Anis Maulita, 1112441 Ardi Febriansyah, 1112452 Berlian Sinurat, 1112460 Dewi Anugrah Anwar and 1112467 Eka Tri Oktavia Sari. Cluster 2:with membership percentage of 30% and it consisted of 4 members, namely 1112463 Dosita Afriyani, 1112471 Erda Novita, 1112474 Eskardi and 1112477 Fachrur Rozi.
Empowering Engineering College Staff to Adopt Active Learning Methods
NASA Astrophysics Data System (ADS)
Pundak, David; Rozner, Shmaryahu
2008-04-01
There is a growing consensus that traditional instruction in basic science courses, in institutions of higher learning, do not lead to the desired results. Most of the students who complete these courses do not gain deep knowledge about the basic concepts and develop a negative approach to the sciences. In order to deal with this problem, a variety of methods have been proposed and implemented, during the last decade, which focus on the "active learning" of the participating students. We found that the methods developed in MIT and NCSU were fruitful and we adopted their approach. Despite research-based evidence of the success of these methods, they are often met by the resistance of the academic staff. This article describes how one institution of higher learning organized itself to introduce significant changes into its introductory science courses, as well as the stages teachers undergo, as they adopt innovative teaching methods. In the article, we adopt the Rogers model of the innovative-decision process, which we used to evaluate the degree of innovation adoption by seven members of the academic staff. An analysis of interview and observation data showed that four factors were identified which influence the degree innovation adoption: (1) teacher readiness to seriously learn the theoretical background of "active learning"; (2) the development of an appropriate local model, customized to the beliefs of the academic staff; (3) teacher expertise in information technologies, and (4) the teachers' design of creative solutions to problems that arose during their teaching.
Trainees as Teachers in Team-Based Learning
ERIC Educational Resources Information Center
Ravindranath, Divy; Gay, Tamara L.; Riba, Michelle B.
2010-01-01
Objective: Team-based learning is an active learning modality that is gaining popularity in medical education. The authors studied the effect of using trainees as facilitators of team-based learning sessions. Methods: Team-based learning modules were developed and implemented by faculty members and trainees for the third-year medical student…
Examining Informal Learning in Commercial Airline Pilots' Communities of Practice
ERIC Educational Resources Information Center
Corns, Kevin M.
2014-01-01
A pragmatic sequential mixed methods research methodology was used to examine commercial airline pilots' (N =156) types and frequencies of informal learning activities, perceptions of workplace informal learning, and opinions on how organizations should support workplace informal learning outside of the formal learning environment. This study…
Minimizing Statistical Bias with Queries.
1995-09-14
method for optimally selecting these points would o er enormous savings in time and money. An active learning system will typically attempt to select data...research in active learning assumes that the sec- ond term of Equation 2 is approximately zero, that is, that the learner is unbiased. If this is the case...outperforms the variance- minimizing algorithm and random exploration. and e ective strategy for active learning . I have given empirical evidence that, with
Learning and cognitive styles in web-based learning: theory, evidence, and application.
Cook, David A
2005-03-01
Cognitive and learning styles (CLS) have long been investigated as a basis to adapt instruction and enhance learning. Web-based learning (WBL) can reach large, heterogenous audiences, and adaptation to CLS may increase its effectiveness. Adaptation is only useful if some learners (with a defined trait) do better with one method and other learners (with a complementary trait) do better with another method (aptitude-treatment interaction). A comprehensive search of health professions education literature found 12 articles on CLS in computer-assisted learning and WBL. Because so few reports were found, research from non-medical education was also included. Among all the reports, four CLS predominated. Each CLS construct was used to predict relationships between CLS and WBL. Evidence was then reviewed to support or refute these predictions. The wholist-analytic construct shows consistent aptitude-treatment interactions consonant with predictions (wholists need structure, a broad-before-deep approach, and social interaction, while analytics need less structure and a deep-before-broad approach). Limited evidence for the active-reflective construct suggests aptitude-treatment interaction, with active learners doing better with interactive learning and reflective learners doing better with methods to promote reflection. As predicted, no consistent interaction between the concrete-abstract construct and computer format was found, but one study suggests that there is interaction with instructional method. Contrary to predictions, no interaction was found for the verbal-imager construct. Teachers developing WBL activities should consider assessing and adapting to accommodate learners defined by the wholist-analytic and active-reflective constructs. Other adaptations should be considered experimental. Further WBL research could clarify the feasibility and effectiveness of assessing and adapting to CLS.
ERIC Educational Resources Information Center
Secret, Mary; Bryant, Nita L.; Cummings, Cory R.
2017-01-01
Our paper describes the design and delivery of an online interdisciplinary social science research methods course (ISRM) for graduate students in sociology, education, social work, and public administration. Collaborative activities and learning took place in two types of computer-mediated learning environments: a closed Blackboard course…
Database Design Learning: A Project-Based Approach Organized through a Course Management System
ERIC Educational Resources Information Center
Dominguez, Cesar; Jaime, Arturo
2010-01-01
This paper describes an active method for database design learning through practical tasks development by student teams in a face-to-face course. This method integrates project-based learning, and project management techniques and tools. Some scaffolding is provided at the beginning that forms a skeleton that adapts to a great variety of…
Active Learning Framework for Non-Intrusive Load Monitoring: Preprint
DOE Office of Scientific and Technical Information (OSTI.GOV)
Jin, Xin
2016-05-16
Non-Intrusive Load Monitoring (NILM) is a set of techniques that estimate the electricity usage of individual appliances from power measurements taken at a limited number of locations in a building. One of the key challenges in NILM is having too much data without class labels yet being unable to label the data manually for cost or time constraints. This paper presents an active learning framework that helps existing NILM techniques to overcome this challenge. Active learning is an advanced machine learning method that interactively queries a user for the class label information. Unlike most existing NILM systems that heuristically requestmore » user inputs, the proposed method only needs minimally sufficient information from a user to build a compact and yet highly representative load signature library. Initial results indicate the proposed method can reduce the user inputs by up to 90% while still achieving similar disaggregation performance compared to a heuristic method. Thus, the proposed method can substantially reduce the burden on the user, improve the performance of a NILM system with limited user inputs, and overcome the key market barriers to the wide adoption of NILM technologies.« less
Research-based active-learning instruction in physics
NASA Astrophysics Data System (ADS)
Meltzer, David E.; Thornton, Ronald K.
2013-04-01
The development of research-based active-learning instructional methods in physics has significantly altered the landscape of U.S. physics education during the past 20 years. Based on a recent review [D.E. Meltzer and R.K. Thornton, Am. J. Phys. 80, 478 (2012)], we define these methods as those (1) explicitly based on research in the learning and teaching of physics, (2) that incorporate classroom and/or laboratory activities that require students to express their thinking through speaking, writing, or other actions that go beyond listening and the copying of notes, or execution of prescribed procedures, and (3) that have been tested repeatedly in actual classroom settings and have yielded objective evidence of improved student learning. We describe some key features common to methods in current use. These features focus on (a) recognizing and addressing students' physics ideas, and (b) guiding students to solve problems in realistic physical settings, in novel and diverse contexts, and to justify or explain the reasoning they have used.
A Review: Principles of Design and Analysis of Learning Systems
ERIC Educational Resources Information Center
Durney, Carl H.
1973-01-01
Analyzes a traditional and an innovative course in terms of learning principles, involving Erickson's management methods and Gagne's learning activities. Suggests that learning systems should be designed by applying all principles rather than emphasizing one or two of them. (CC)
NASA Astrophysics Data System (ADS)
Wardani, K. U.; Mulyani, S.; Wiji
2018-04-01
The aim of this study was to develop intertextual learning strategy with guided inquiry on solubility equilibrium concept to enhance student’s scientific processing skills. This study was conducted with consideration of some various studies which found that lack of student’s process skills in learning chemistry was caused by learning chemistry is just a concept. The method used in this study is a Research and Development to generate the intertextual learning strategy with guided inquiry. The instruments used in the form of sheets validation are used to determine the congruence of learning activities by step guided inquiry learning and scientific processing skills with aspects of learning activities. Validation results obtained that the learning activities conducted in line with aspects of indicators of the scientific processing skills.
Acquisition of STEM Images by Adaptive Compressive Sensing
DOE Office of Scientific and Technical Information (OSTI.GOV)
Xie, Weiyi; Feng, Qianli; Srinivasan, Ramprakash
Compressive Sensing (CS) allows a signal to be sparsely measured first and accurately recovered later in software [1]. In scanning transmission electron microscopy (STEM), it is possible to compress an image spatially by reducing the number of measured pixels, which decreases electron dose and increases sensing speed [2,3,4]. The two requirements for CS to work are: (1) sparsity of basis coefficients and (2) incoherence of the sensing system and the representation system. However, when pixels are missing from the image, it is difficult to have an incoherent sensing matrix. Nevertheless, dictionary learning techniques such as Beta-Process Factor Analysis (BPFA) [5]more » are able to simultaneously discover a basis and the sparse coefficients in the case of missing pixels. On top of CS, we would like to apply active learning [6,7] to further reduce the proportion of pixels being measured, while maintaining image reconstruction quality. Suppose we initially sample 10% of random pixels. We wish to select the next 1% of pixels that are most useful in recovering the image. Now, we have 11% of pixels, and we want to decide the next 1% of “most informative” pixels. Active learning methods are online and sequential in nature. Our goal is to adaptively discover the best sensing mask during acquisition using feedback about the structures in the image. In the end, we hope to recover a high quality reconstruction with a dose reduction relative to the non-adaptive (random) sensing scheme. In doing this, we try three metrics applied to the partial reconstructions for selecting the new set of pixels: (1) variance, (2) Kullback-Leibler (KL) divergence using a Radial Basis Function (RBF) kernel, and (3) entropy. Figs. 1 and 2 display the comparison of Peak Signal-to-Noise (PSNR) using these three different active learning methods at different percentages of sampled pixels. At 20% level, all the three active learning methods underperform the original CS without active learning. However, they all beat the original CS as more of the “most informative” pixels are sampled. One can also argue that CS equipped with active learning requires less sampled pixels to achieve the same value of PSNR than CS with pixels randomly sampled, since all the three PSNR curves with active learning grow at a faster pace than that without active learning. For this particular STEM image, by observing the reconstructed images and the sensing masks, we find that while the method based on RBF kernel acquires samples more uniformly, the one on entropy samples more areas of significant change, thus less uniformly. The KL-divergence method performs the best in terms of reconstruction error (PSNR) for this example [8].« less
Cook, David A; Gelula, Mark H; Dupras, Denise M; Schwartz, Alan
2007-09-01
Adapting web-based (WB) instruction to learners' individual differences may enhance learning. Objectives This study aimed to investigate aptitude-treatment interactions between learning and cognitive styles and WB instructional methods. We carried out a factorial, randomised, controlled, crossover, post-test-only trial involving 89 internal medicine residents, family practice residents and medical students at 2 US medical schools. Parallel versions of a WB course in complementary medicine used either active or reflective questions and different end-of-module review activities ('create and study a summary table' or 'study an instructor-created table'). Participants were matched or mismatched to question type based on active or reflective learning style. Participants used each review activity for 1 course module (crossover design). Outcome measurements included the Index of Learning Styles, the Cognitive Styles Analysis test, knowledge post-test, course rating and preference. Post-test scores were similar for matched (mean +/- standard error of the mean 77.4 +/- 1.7) and mismatched (76.9 +/- 1.7) learners (95% confidence interval [CI] for difference - 4.3 to 5.2l, P = 0.84), as were course ratings (P = 0.16). Post-test scores did not differ between active-type questions (77.1 +/- 2.1) and reflective-type questions (77.2 +/- 1.4; P = 0.97). Post-test scores correlated with course ratings (r = 0.45). There was no difference in post-test subscores for modules completed using the 'construct table' format (78.1 +/- 1.4) or the 'table provided' format (76.1 +/- 1.4; CI - 1.1 to 5.0, P = 0.21), and wholist and analytic styles had no interaction (P = 0.75) or main effect (P = 0.18). There was no association between activity preference and wholist or analytic scores (P = 0.37). Cognitive and learning styles had no apparent influence on learning outcomes. There were no differences in outcome between these instructional methods.
Faculty motivations to use active learning among pharmacy educators.
Rockich-Winston, Nicole; Train, Brian C; Rudolph, Michael J; Gillette, Chris
2018-03-01
Faculty motivations to use active learning have been limited to surveys evaluating faculty perceptions within active learning studies. Our objective in this study was to evaluate the relationship between faculty intrinsic motivation, extrinsic motivation, and demographic variables and the extent of active learning use in the classroom. An online survey was administered to individual faculty members at 137 colleges and schools of pharmacy across the United States. The survey assessed intrinsic and extrinsic motivations, active learning strategies, classroom time dedicated to active learning, and faculty development resources. Bivariate associations and multivariable stepwise linear regression were used to analyze the results. In total, 979 faculty members completed the questionnaire (23.6% response rate). All motivation variables were significantly correlated with percent active learning use (p < 0.001). Intrinsic motivation demonstrated the highest correlation (r = 0.447) followed by current extrinsic motivations (r = 0.245) and ideal extrinsic motivations (r = 0.291). Variables associated with higher intrinsic motivation included the number of resources used (r = 0.233, p < 0.001) and the number of active learning methods used in the last year (r = 0.259, p < 0.001). Years of teaching experience was negatively associated with intrinsic motivation (r = -0.177, p < 0.001). Regression analyses confirmed the importance of intrinsic and extrinsic motivations in predicting active learning use. Our results suggest that faculty members who are intrinsically motivated to use active learning are more likely to dedicate additional class time to active learning. Furthermore, intrinsic motivation may be positively associated with encouraging faculty members to attend active learning workshops and supporting faculty to use various active learning strategies in the classroom. Copyright © 2017 Elsevier Inc. All rights reserved.
A hierarchy of effective teaching and learning to acquire competence in evidenced-based medicine
Khan, Khalid S; Coomarasamy, Arri
2006-01-01
Background A variety of methods exists for teaching and learning evidence-based medicine (EBM). However, there is much debate about the effectiveness of various EBM teaching and learning activities, resulting in a lack of consensus as to what methods constitute the best educational practice. There is a need for a clear hierarchy of educational activities to effectively impart and acquire competence in EBM skills. This paper develops such a hierarchy based on current empirical and theoretical evidence. Discussion EBM requires that health care decisions be based on the best available valid and relevant evidence. To achieve this, teachers delivering EBM curricula need to inculcate amongst learners the skills to gain, assess, apply, integrate and communicate new knowledge in clinical decision-making. Empirical and theoretical evidence suggests that there is a hierarchy of teaching and learning activities in terms of their educational effectiveness: Level 1, interactive and clinically integrated activities; Level 2(a), interactive but classroom based activities; Level 2(b), didactic but clinically integrated activities; and Level 3, didactic, classroom or standalone teaching. Summary All health care professionals need to understand and implement the principles of EBM to improve care of their patients. Interactive and clinically integrated teaching and learning activities provide the basis for the best educational practice in this field. PMID:17173690
Active learning of cortical connectivity from two-photon imaging data
Wang, Ye; Dunson, David; Sapiro, Guillermo; Ringach, Dario
2018-01-01
Understanding how groups of neurons interact within a network is a fundamental question in system neuroscience. Instead of passively observing the ongoing activity of a network, we can typically perturb its activity, either by external sensory stimulation or directly via techniques such as two-photon optogenetics. A natural question is how to use such perturbations to identify the connectivity of the network efficiently. Here we introduce a method to infer sparse connectivity graphs from in-vivo, two-photon imaging of population activity in response to external stimuli. A novel aspect of the work is the introduction of a recommended distribution, incrementally learned from the data, to optimally refine the inferred network. Unlike existing system identification techniques, this “active learning” method automatically focuses its attention on key undiscovered areas of the network, instead of targeting global uncertainty indicators like parameter variance. We show how active learning leads to faster inference while, at the same time, provides confidence intervals for the network parameters. We present simulations on artificial small-world networks to validate the methods and apply the method to real data. Analysis of frequency of motifs recovered show that cortical networks are consistent with a small-world topology model. PMID:29718955
Project-Based Learning in Programmable Logic Controller
NASA Astrophysics Data System (ADS)
Seke, F. R.; Sumilat, J. M.; Kembuan, D. R. E.; Kewas, J. C.; Muchtar, H.; Ibrahim, N.
2018-02-01
Project-based learning is a learning method that uses project activities as the core of learning and requires student creativity in completing the project. The aims of this study is to investigate the influence of project-based learning methods on students with a high level of creativity in learning the Programmable Logic Controller (PLC). This study used experimental methods with experimental class and control class consisting of 24 students, with 12 students of high creativity and 12 students of low creativity. The application of project-based learning methods into the PLC courses combined with the level of student creativity enables the students to be directly involved in the work of the PLC project which gives them experience in utilizing PLCs for the benefit of the industry. Therefore, it’s concluded that project-based learning method is one of the superior learning methods to apply on highly creative students to PLC courses. This method can be used as an effort to improve student learning outcomes and student creativity as well as to educate prospective teachers to become reliable educators in theory and practice which will be tasked to create qualified human resources candidates in order to meet future industry needs.
ERIC Educational Resources Information Center
van Til, Cita T.; And Others
Problem-based learning (PBL) as a new instructional method is becoming increasingly popular. PBL is hypothesized to have a number of advantages for learning because it applies insights from cognitive learning theory and it fosters a lifelong learning strategy. As in all learning programs there are individual differences between students. This…
New technologies for examining neuronal ensembles in drug addiction and fear
Cruz, Fabio C.; Koya, Eisuke; Guez-Barber, Danielle H.; Bossert, Jennifer M.; Lupica, Carl R.; Shaham, Yavin; Hope, Bruce T.
2015-01-01
Correlational data suggest that learned associations are encoded within neuronal ensembles. However, it has been difficult to prove that neuronal ensembles mediate learned behaviours because traditional pharmacological and lesion methods, and even newer cell type-specific methods, affect both activated and non-activated neurons. Additionally, previous studies on synaptic and molecular alterations induced by learning did not distinguish between behaviourally activated and non-activated neurons. Here, we describe three new approaches—Daun02 inactivation, FACS sorting of activated neurons and c-fos-GFP transgenic rats — that have been used to selectively target and study activated neuronal ensembles in models of conditioned drug effects and relapse. We also describe two new tools — c-fos-tTA mice and inactivation of CREB-overexpressing neurons — that have been used to study the role of neuronal ensembles in conditioned fear. PMID:24088811
NASA Astrophysics Data System (ADS)
Rougier, Simon; Puissant, Anne; Stumpf, André; Lachiche, Nicolas
2016-09-01
Vegetation monitoring is becoming a major issue in the urban environment due to the services they procure and necessitates an accurate and up to date mapping. Very High Resolution satellite images enable a detailed mapping of the urban tree and herbaceous vegetation. Several supervised classifications with statistical learning techniques have provided good results for the detection of urban vegetation but necessitate a large amount of training data. In this context, this study proposes to investigate the performances of different sampling strategies in order to reduce the number of examples needed. Two windows based active learning algorithms from state-of-art are compared to a classical stratified random sampling and a third combining active learning and stratified strategies is proposed. The efficiency of these strategies is evaluated on two medium size French cities, Strasbourg and Rennes, associated to different datasets. Results demonstrate that classical stratified random sampling can in some cases be just as effective as active learning methods and that it should be used more frequently to evaluate new active learning methods. Moreover, the active learning strategies proposed in this work enables to reduce the computational runtime by selecting multiple windows at each iteration without increasing the number of windows needed.
NASA Astrophysics Data System (ADS)
Deming, Grace L.; Miller, Scott T.; Trasco, John D.
1996-05-01
Students become more interested in learning and retain more in courses that rely on active rather than passive teaching methods. Cooperative learning activities can be structured to engage students toward greater participation in their own education. We have developed a sourcebook containing a variety of cooperative learning methods and activities to aid in the teaching of astronomy at the undergraduate level. Special effort has been made to include activities that can be used within the classroom or as a group homework assignment, in courses with teaching assistants and those without, and in large or small classes. In addition to reinforcing concepts taught in introductory astronomy, the activities are structured to strengthen skills associated with a scientifically literate person. A goal of undergraduate science education is to produce citizens who can understand and share in the excitement of scientific discoveries as well as make informed decisions regarding scientific and technological issues. The sourcebook, available in August, 1996, will contain sections on the advantages/disadvantages of group activities, basic cooperative learning techniques, in class/out of class activities, and how to use peer instruction to expose students to the wonderfaul astronomy resources on the internet. Each activity includes suggestions to the instructor as to how the assignment can be incorporated into an introductory astronomy course. This project funded by NSF DUE-9354503.
The effect of active learning on student characteristics in a human physiology course for nonmajors.
Wilke, R Russell
2003-12-01
This study investigated the effect of active-learning strategies on college students' achievement, motivation, and self-efficacy in a human physiology course for nonmajors. Variables were studied via a quasi-experimental, Solomon four-group design on 141 students at a small west-Texas university. Treatment groups were taught using a continuum-based, active-learning model implemented over the course of a semester. Control groups were taught using traditional didactic lecture methods. To assess the effects of the continuum-based active learning strategies, students were administered a comprehensive physiology content exam, the Motivated Strategies for Learning Questionnaire, and attitude surveys. Factorial analyses indicated that the treatment groups acquired significantly more content knowledge and were significantly more self-efficacious than students in the control groups. There were no significant differences in motivation. Attitude surveys indicated that students in both the treatment and control groups demonstrated a positive attitude toward active learning, believed it helped (or would help) them to learn the material, and would choose an active learning course in the future.
ERIC Educational Resources Information Center
Mengistie, Solomon Melesse
2014-01-01
The present study tries to investigate the contribution of primary school teachers' peer- and self- assessment for effective implementation of active learning in their actual classrooms. In this study, areas in which self-reflection and peer assessment include three broad categories, such as methods of teaching and learning, instructional resource…
ERIC Educational Resources Information Center
Mudrich, Rachel Marie
2017-01-01
The purpose of this research study was to determine if project-based learning activities (PBLA) incorporated into an eighth-grade mathematics classroom have an effect on students' academic achievement and motivation toward learning. The control group used the traditional instruction method to cover mathematic objective skills that are Common Core…
ERIC Educational Resources Information Center
Lax, Neil; Morris, James; Kolber, Benedict J.
2017-01-01
Incorporation of active learning into large lecture classes is gaining popularity as a pedagogical method due to its known benefits in helping learning outcomes. A more recent active learning technique that has emerged is the flipped classroom. In this study, we investigated the effects of incorporating a "partial-flip" into an…
Animal-Centered Learning Activities in Pharmacy Education
Lust, Elaine
2006-01-01
Objectives To assess the contribution of animal-centered activities to students achieving learning outcomes in a veterinary therapeutics course. Design Qualitative methods were used to assess the outcome of using “hands-on” animal interactions as tools of engagement in the course. Reflective commentary on animal-centered activities was collected and analyzed. Assessment Animal-centered learning activities are effective tools for engaging students and facilitating their understanding and application of veterinary therapeutic knowledge, skills, and attitudes. Analysis of qualitative data revealed themes of professional caring and caring behaviors as a direct result of animal-centered activities. Elements of empathy, caring, compassion, and self-awareness were strong undercurrents in student's comments. Conclusions Animal-centered learning activities provide an innovative learning environment for the application of veterinary pharmacy knowledge, skills, and attitudes directly to animal patients. The use of animals in the course is a successful active-learning technique to engage pharmacy students and assist them in developing caring attitudes and behaviors beneficial to future health care providers. PMID:17149415
Cross-domain active learning for video concept detection
NASA Astrophysics Data System (ADS)
Li, Huan; Li, Chao; Shi, Yuan; Xiong, Zhang; Hauptmann, Alexander G.
2011-08-01
As video data from a variety of different domains (e.g., news, documentaries, entertainment) have distinctive data distributions, cross-domain video concept detection becomes an important task, in which one can reuse the labeled data of one domain to benefit the learning task in another domain with insufficient labeled data. In this paper, we approach this problem by proposing a cross-domain active learning method which iteratively queries labels of the most informative samples in the target domain. Traditional active learning assumes that the training (source domain) and test data (target domain) are from the same distribution. However, it may fail when the two domains have different distributions because querying informative samples according to a base learner that initially learned from source domain may no longer be helpful for the target domain. In our paper, we use the Gaussian random field model as the base learner which has the advantage of exploring the distributions in both domains, and adopt uncertainty sampling as the query strategy. Additionally, we present an instance weighting trick to accelerate the adaptability of the base learner, and develop an efficient model updating method which can significantly speed up the active learning process. Experimental results on TRECVID collections highlight the effectiveness.
NASA Astrophysics Data System (ADS)
Brewe, Eric; Dou, Remy; Shand, Robert
2018-02-01
Although active learning is supported by strong evidence of efficacy in undergraduate science instruction, institutions of higher education have yet to embrace comprehensive change. Costs of transforming instruction are regularly cited as a key factor in not adopting active-learning instructional practices. Some cite that alternative methods to stadium-style, lecture-based education are not financially viable to an academic department. This paper examines that argument by presenting an ingredients approach to estimating costs of two instructional methods used in introductory university physics courses at a large public U.S. university. We use a metric common in educational economics, cost effectiveness (CE), which is the total cost per student passing the class. We then compare the CE of traditional, passive-learning lecture courses to those of a well-studied, active-learning curriculum (Modeling Instruction) as a way of evaluating the claim that active learning is cost prohibitive. Our findings are that the Modeling Instruction approach has a higher cost per passing student (MI = 1 ,030 /passing student vs Trad = 790 /passing student). These results are discussed from perspectives of university administrators, students, and taxpayers. We consider how MI would need to adapt in order to make the benefits of active learning (particularly higher pass rates and gains on multiple measured student outcomes) available in a cost-neutral setting. This approach aims to provide a methodology to better inform decision makers balancing financial, personnel, and curricular considerations.
Active learning on the ward: outcomes from a comparative trial with traditional methods.
Melo Prado, Hegla; Hannois Falbo, Gilliatt; Rodrigues Falbo, Ana; Natal Figueirôa, José
2011-03-01
Academic activity during internship is essentially practical and ward rounds are traditionally considered the cornerstone of clinical education. However, the efficacy and effectiveness of ward rounds for learning purposes have been under-investigated and it is necessary to assess alternative educational paradigms for this activity. This study aimed to compare the educational effectiveness of ward rounds conducted with two different learning methodologies. Student subjects were first tested on 30 true/false questions to assess their initial degree of knowledge on pneumonia and diarrhoea. Afterwards, they attended ward rounds conducted using an active and a traditional learning methodology. The participants were submitted to a second test 48hours later in order to assess knowledge acquisition and were asked to answer two questions about self-directed learning and their opinions on the two learning methodologies used. Seventy-two medical students taking part in a paediatric clinic rotation were enrolled. The active methodology proved to be more effective than the traditional methodology for the three outcomes considered: knowledge acquisition (33 students [45.8%] versus 21 students [29.2%]; p=0.03); self-directed learning (38 students [52.8%] versus 11 students [15.3%]; p<0.001), and student opinion on the methods (61 students [84.7%] versus 38 students [52.8%]; p<0.001). The active methodology produced better results than the traditional methodology in a ward-based context. This study seems to be valuable in terms of the new evidence it demonstrates on learning methodologies in the context of the ward round. © Blackwell Publishing Ltd 2011.
Workjobs: Activity-Centered Learning for Early Childhood Education.
ERIC Educational Resources Information Center
Lorton, Mary Baratta
Based on the idea that through active involvement with the materials the child would draw out the generalizations within the material, a teacher's method of activity-centered learning for early childhood education is presented. The first section of the book deals with the development of language through workjobs, emphasizing perception, matching,…
A Mixed-Methods Investigation of Clicker Implementation Styles in STEM
ERIC Educational Resources Information Center
Solomon, Erin D.; Repice, Michelle D.; Mutambuki, Jacinta M.; Leonard, Denise A.; Cohen, Cheryl A.; Luo, Jia; Frey, Regina F.
2018-01-01
Active learning with clickers is a common approach in high-enrollment, lecture-based courses in science, technology, engineering, and mathematics. In this study, we describe the procedures that faculty at one institution used when implementing clicker-based active learning, and how they situated these activities in their class sessions. Using a…
ERIC Educational Resources Information Center
Shekhar, Prateek; Maura Borrego
2017-01-01
Engineering education research has empirically validated the effectiveness of active learning over traditional instructional methods. However, the dissemination of education research into instructional practice has been slow. Faculty workshops for current and future instructors offer a solution to promote the widespread adoption of active learning…
Engineering Design Activities and Conceptual Change in Middle School Science
ERIC Educational Resources Information Center
Schnittka, Christine G.
2009-01-01
The purpose of this research was to investigate the impact of engineering design classroom activities on conceptual change in science, and on attitudes toward and knowledge about engineering. Students were given a situated learning context and a rationale for learning science in an active, inquiry-based method, and worked in small collaborative…
Active appearance model and deep learning for more accurate prostate segmentation on MRI
NASA Astrophysics Data System (ADS)
Cheng, Ruida; Roth, Holger R.; Lu, Le; Wang, Shijun; Turkbey, Baris; Gandler, William; McCreedy, Evan S.; Agarwal, Harsh K.; Choyke, Peter; Summers, Ronald M.; McAuliffe, Matthew J.
2016-03-01
Prostate segmentation on 3D MR images is a challenging task due to image artifacts, large inter-patient prostate shape and texture variability, and lack of a clear prostate boundary specifically at apex and base levels. We propose a supervised machine learning model that combines atlas based Active Appearance Model (AAM) with a Deep Learning model to segment the prostate on MR images. The performance of the segmentation method is evaluated on 20 unseen MR image datasets. The proposed method combining AAM and Deep Learning achieves a mean Dice Similarity Coefficient (DSC) of 0.925 for whole 3D MR images of the prostate using axial cross-sections. The proposed model utilizes the adaptive atlas-based AAM model and Deep Learning to achieve significant segmentation accuracy.
Active Learning of Classification Models with Likert-Scale Feedback.
Xue, Yanbing; Hauskrecht, Milos
2017-01-01
Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for building the classification models in practice and for applying them to a variety of classification tasks. In this paper, we develop a new active learning framework that combines two strategies to reduce the annotation effort. First, it relies on label uncertainty information obtained from the human in terms of the Likert-scale feedback. Second, it uses active learning to annotate examples with the greatest expected change. We propose a Bayesian approach to calculate the expectation and an incremental SVM solver to reduce the time complexity of the solvers. We show the combination of our active learning strategy and the Likert-scale feedback can learn classification models more rapidly and with a smaller number of labeled instances than methods that rely on either Likert-scale labels or active learning alone.
Active Learning of Classification Models with Likert-Scale Feedback
Xue, Yanbing; Hauskrecht, Milos
2017-01-01
Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for building the classification models in practice and for applying them to a variety of classification tasks. In this paper, we develop a new active learning framework that combines two strategies to reduce the annotation effort. First, it relies on label uncertainty information obtained from the human in terms of the Likert-scale feedback. Second, it uses active learning to annotate examples with the greatest expected change. We propose a Bayesian approach to calculate the expectation and an incremental SVM solver to reduce the time complexity of the solvers. We show the combination of our active learning strategy and the Likert-scale feedback can learn classification models more rapidly and with a smaller number of labeled instances than methods that rely on either Likert-scale labels or active learning alone. PMID:28979827
NASA Astrophysics Data System (ADS)
Wang, Xiaoping; Cai, Peijun; Liu, Yuling; Wang, Liqiang; Liang, Yiyong
2017-08-01
Courses are an important way of cultivating talents in college education. Advanced training schemes and the course system are implemented through course teaching. Advanced teaching notions and methods also rely on course teaching. Therefore, the quality of course teaching is the fundamental guarantor for grooming talent. The teachers of the course "Microcontroller Principles and Interface Techniques" in the Optical Science and Engineering College of Zhejiang University insist on course teaching becoming student centered and ability-training-oriented. They pay attention to students'all-round development in terms of learning ability, practical ability, innovation ability, and exploring spirit. They actively carried out course reforms in four aspects, namely teaching, learning, evaluation, and experimentation. This paper mainly introduced these reforms. First, the teaching method was reformed by introducing case analysis and the notion of a flipped classroom to shift the course focus from the teacher to the students. Second, the learning method was reformed through the use of techniques such as peer learning and project design to promote students' sense of enquiry and learning initiative. Third, the evaluation method was reformed through the use of process assessment and diversity evaluation to encourage students to develop logical thinking and a down-to-earth manner. Fourth, the experimentation method was reformed by introducing hierarchical content, process management, and diversification of examination to change students'learning attitude from "dependence, passivity, and imitation" to "independence, active involvement, and creation."In general, the teaching method reform promoted reforms in learning, evaluation, and experimentation methods and further improved the style of study. These reforms improved teachers' teaching abilities and enabled course teaching to transform from being teacher centered to student centered. Years of exploration and practice results have shown that such reforms not only effectively inspire students to learn, explore, and practice actively, but also cultivate their creative spirit and courage to face challenges, providing a good platform for theirself-learning and personal growth. The course reforms discussed here have been highly recommended for their reference value.
Cooper, Katelyn M.; Ashley, Michael; Brownell, Sara E.
2017-01-01
National calls to improve student academic success in college have sparked the development of bridge programs designed to help students transition from high school to college. We designed a 2-week Summer Bridge program that taught introductory biology content in an active-learning way. Through a set of exploratory interviews, we unexpectedly identified that Bridge students had developed sophisticated views of active learning, even though this was not an explicit goal of the program. We conducted an additional set of semistructured interviews that focused on active learning and compared the interviews of Bridge students with those from non-Bridge students who had been eligible for but did not participate in the program. We used the constant comparative method to identify themes from the interviews. We found that Bridge students perceived that, because they knew how to approach active learning and viewed it as important, they benefited more from active learning in introductory biology than non-Bridge students. Specifically, Bridge students seemed to be more aware of their own learning gains from participating in active learning. Compared with the majority of non-Bridge students, the majority of Bridge students described using a greater variety of strategies to maximize their experiences in active learning. Finally, in contrast to non-Bridge students, Bridge students indicated that they take an equitable approach to group work. These findings suggest that we may be able to prime students to maximize their own and other’s experiences in active learning. PMID:28232588
Are Online Learners Frustrated with Collaborative Learning Experiences?
ERIC Educational Resources Information Center
Capdeferro, Neus; Romero, Margarida
2012-01-01
Online education increasingly puts emphasis on collaborative learning methods. Despite the pedagogical advantages of collaborative learning, online learners can perceive collaborative learning activities as frustrating experiences. The purpose of this study was to characterize the feelings of frustration as a negative emotion among online learners…
Assessing Student Behaviors and Motivation for Actively Learning Biology
NASA Astrophysics Data System (ADS)
Moore, Michael Edward
Vision and Change states that one of the major changes in the way we design biology courses should be a switch in approach from teacher-centered learning to student-centered learning and identifies active learning as a recommended methods. Studies show performance benefits for students taking courses that use active learning. What is unknown is why active learning is such an effective instructional tool and the limits of this instructional method’s ability to influence performance. This dissertation builds a case in three steps for why active learning is an effective instructional tool. In step one, I assessed the influence of different types of active learning (clickers, group activities, and whole class discussions) on student engagement behavior in one semester of two different introductory biology courses and found that active learning positively influenced student engagement behavior significantly more than lecture. For step two, I examined over four semesters whether student engagement behavior was a predictor of performance and found participation (engagement behavior) in the online (video watching) and in-class course activities (clicker participation) that I measure were significant predictors of performance. In the third, I assessed whether certain active learning satisfied the psychological needs that lead to students’ intrinsic motivation to participate in those activities when compared over two semesters and across two different institutions of higher learning. Findings from this last step show us that student’s perceptions of autonomy, competency, and relatedness in doing various types of active learning are significantly higher than lecture and consistent across two institutions of higher learning. Lastly, I tie everything together, discuss implications of the research, and address future directions for research on biology student motivation and behavior.
Informal Learning of Social Workers: A Method of Narrative Inquiry
ERIC Educational Resources Information Center
Gola, Giancarlo
2009-01-01
Purpose: The purpose of this paper is to investigate social workers' processes of informal learning, through their narration of their professional experience, in order to understand how social workers learn. Informal learning is any individual practice or activity that is able to produce continuous learning; it is often non-intentional and…
ERIC Educational Resources Information Center
Washington, Christopher
2015-01-01
Digitally delivered learning shows the promise of enhancing learner motivation and engagement, advancing critical thinking skills, encouraging reflection and knowledge sharing, and improving professional self-efficacy. Digital learning objects take many forms including interactive media, apps and games, video and other e-learning activities and…
Individual Learning Accounts and Other Models of Financing Lifelong Learning
ERIC Educational Resources Information Center
Schuetze, Hans G.
2007-01-01
To answer the question "Financing what?" this article distinguishes several models of lifelong learning as well as a variety of lifelong learning activities. Several financing methods are briefly reviewed, however the principal focus is on Individual Learning Accounts (ILAs) which were seen by some analysts as a promising model for…
Deriving Process-Driven Collaborative Editing Pattern from Collaborative Learning Flow Patterns
ERIC Educational Resources Information Center
Marjanovic, Olivera; Skaf-Molli, Hala; Molli, Pascal; Godart, Claude
2007-01-01
Collaborative Learning Flow Patterns (CLFPs) have recently emerged as a new method to formulate best practices in structuring the flow of activities within various collaborative learning scenarios. The term "learning flow" is used to describe coordination and sequencing of learning tasks. This paper adopts the existing concept of CLFP and argues…
ERIC Educational Resources Information Center
Özden, Bülent
2016-01-01
The purpose of this study was to determine the changes in the perception of teacher candidates towards scientific research process and their self-efficacy in this process, during Scientific Research Methods course that has been conducted using "Learning Management System" based on out-of-class learning activities. Being designed as a…
ERIC Educational Resources Information Center
Elder, Anastasia D.
2015-01-01
Problem based learning (PBL) is an instructional method aimed at engaging students in collaboratively solving an ill-structured problem. PBL has been presented and researched as an overhaul of existing curriculum design, yet a modified version may be attractive to college instructors who desire active learning on the part of their students, but…
ERIC Educational Resources Information Center
Zedda, Massimo; Bernardelli, Silvia; Maran, Daniela Acquadro
2017-01-01
Group Work Learning Method is a cooperative learning technique that has positive effects in learning: students' active participation can increase both cognitive and social skills. Our work involved three cohorts of students of different years attending the same course at the University of Torino, Department of Psychology. The contents of the…
Topic detection using paragraph vectors to support active learning in systematic reviews.
Hashimoto, Kazuma; Kontonatsios, Georgios; Miwa, Makoto; Ananiadou, Sophia
2016-08-01
Systematic reviews require expert reviewers to manually screen thousands of citations in order to identify all relevant articles to the review. Active learning text classification is a supervised machine learning approach that has been shown to significantly reduce the manual annotation workload by semi-automating the citation screening process of systematic reviews. In this paper, we present a new topic detection method that induces an informative representation of studies, to improve the performance of the underlying active learner. Our proposed topic detection method uses a neural network-based vector space model to capture semantic similarities between documents. We firstly represent documents within the vector space, and cluster the documents into a predefined number of clusters. The centroids of the clusters are treated as latent topics. We then represent each document as a mixture of latent topics. For evaluation purposes, we employ the active learning strategy using both our novel topic detection method and a baseline topic model (i.e., Latent Dirichlet Allocation). Results obtained demonstrate that our method is able to achieve a high sensitivity of eligible studies and a significantly reduced manual annotation cost when compared to the baseline method. This observation is consistent across two clinical and three public health reviews. The tool introduced in this work is available from https://nactem.ac.uk/pvtopic/. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.
The 21st century skills with model eliciting activities on linear program
NASA Astrophysics Data System (ADS)
Handajani, Septriana; Pratiwi, Hasih; Mardiyana
2018-04-01
Human resources in the 21st century are required to master various forms of skills, including critical thinking skills and problem solving. The teaching of the 21st century is a teaching that integrates literacy skills, knowledge, skills, attitudes, and mastery of ICT. This study aims to determine whether there are differences in the effect of applying Model Elliciting Activities (MEAs) that integrates 21st century skills, namely 4C and conventional learning to learning outcomes. This research was conducted at Vocational High School in the odd semester of 2017 and uses the experimental method. The experimental class is treated MEAs that integrates 4C skills and the control class is given conventional learning. Methods of data collection in this study using the method of documentation and test methods. The data analysis uses Z-test. Data obtained from experiment class and control class. The result of this study showed there are differences in the effect of applying MEAs that integrates 4C skills and conventional learning to learning outcomes. Classes with MEAs that integrates 4C skills give better learning outcomes than the ones in conventional learning classes. This happens because MEAs that integrates 4C skills can improved creativity skills, communication skills, collaboration skills, and problem-solving skills.
Reflection on Cuboid Net with Mathematical Learning Quality
NASA Astrophysics Data System (ADS)
Sari, Atikah; Suryadi, Didi; Syaodih, Ernawulan
2017-09-01
This research aims to formulate an alternative to the reflection in mathematics learning activities related to the activities of the professionalism of teachers motivated by a desire to improve the quality of learning. This study is a qualitative study using the Didactical Design research. This study was conducted in one of the elementary schools. The data collection techniques are triangulation with the research subject is teacher 5th grade. The results of this study indicate that through deep reflection, teachers can design learning design in accordance with the conditions of the class. Also revealed that teachers have difficulty in choosing methods of learning and contextual learning media. Based on the implementation of activities of reflection and make the learning design based on the results of reflection can be concluded that the quality of learning in the class will develop.
An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning.
Feng, Yingjing; Guo, Ziyan; Dong, Ziyang; Zhou, Xiao-Yun; Kwok, Ka-Wai; Ernst, Sabine; Lee, Su-Lin
2017-07-01
A major challenge in radiofrequency catheter ablation procedures is the voltage and activation mapping of the endocardium, given a limited mapping time. By learning from expert interventional electrophysiologists (operators), while also making use of an active-learning framework, guidance on performing cardiac voltage mapping can be provided to novice operators or even directly to catheter robots. A learning from demonstration (LfD) framework, based upon previous cardiac mapping procedures performed by an expert operator, in conjunction with Gaussian process (GP) model-based active learning, was developed to efficiently perform voltage mapping over right ventricles (RV). The GP model was used to output the next best mapping point, while getting updated towards the underlying voltage data pattern as more mapping points are taken. A regularized particle filter was used to keep track of the kernel hyperparameter used by GP. The travel cost of the catheter tip was incorporated to produce time-efficient mapping sequences. The proposed strategy was validated on a simulated 2D grid mapping task, with leave-one-out experiments on 25 retrospective datasets, in an RV phantom using the Stereotaxis Niobe ® remote magnetic navigation system, and on a tele-operated catheter robot. In comparison with an existing geometry-based method, regression error was reduced and was minimized at a faster rate over retrospective procedure data. A new method of catheter mapping guidance has been proposed based on LfD and active learning. The proposed method provides real-time guidance for the procedure, as well as a live evaluation of mapping sufficiency.
Team-Based Learning Enhances Performance in Introductory Biology
ERIC Educational Resources Information Center
Carmichael, Jeffrey
2009-01-01
Given the problems associated with the traditional lecture method, the constraints associated with large classes, and the effectiveness of active learning, continued development and testing of efficient student-centered learning approaches are needed. This study explores the effectiveness of team-based learning (TBL) in a large-enrollment…
Internet-Based Distance Learning in Higher Education.
ERIC Educational Resources Information Center
Hofmann, Donald W.
2002-01-01
Suggests that the effectiveness of Internet-based distance learning has increased with its increased popularity. Looks at the differences between the effectiveness of Internet-based distance learning and traditional methods. Indicates that distance learning is more effective because of the necessity for students to become active learners.…
[Verification of Learning Effects by Team-based Learning].
Ono, Shin-Ichi; Ito, Yoshihisa; Ishige, Kumiko; Inokuchi, Norio; Kosuge, Yasuhiro; Asami, Satoru; Izumisawa, Megumi; Kobayashi, Hiroko; Hayashi, Hiroyuki; Suzuki, Takashi; Kishikawa, Yukinaga; Hata, Harumi; Kose, Eiji; Tabata, Kei-Ichi
2017-11-01
It has been recommended that active learning methods, such as team-based learning (TBL) and problem-based learning (PBL), be introduced into university classes by the Central Council for Education. As such, for the past 3 years, we have implemented TBL in a medical therapeutics course for 4-year students. Based upon our experience, TBL is characterized as follows: TBL needs fewer teachers than PBL to conduct a TBL module. TBL enables both students and teachers to recognize and confirm the learning results from preparation and reviewing. TBL grows students' responsibility for themselves and their teams, and likely facilitates learning activities through peer assessment.
Active Learning and Cooperative Learning in the Organic Chemistry Lecture Class
NASA Astrophysics Data System (ADS)
Paulson, Donald R.
1999-08-01
Faculty in the physical sciences are one of the academic groups least receptive to the use of active learning strategies and cooperative learning in their classrooms. This is particularly so in traditional lecture classes. It is the objective of this paper to show how effective these techniques can be in improving student performance in classes. The use of active learning strategies and cooperative learning groups in my organic chemistry lecture classes has increased the overall pass rate in my classes by an astounding 20-30% over the traditional lecture mode. This has been accomplished without any reduction in "standards". The actual methods employed are presented as well as a discussion of how I came to radically change the way I teach my classes.
Silverman, Arielle M; Pitonyak, Jennifer S; Nelson, Ian K; Matsuda, Patricia N; Kartin, Deborah; Molton, Ivan R
2018-05-01
To develop and test a novel impairment simulation activity to teach beginning rehabilitation students how people adapt to physical impairments. Masters of Occupational Therapy students (n = 14) and Doctor of Physical Therapy students (n = 18) completed the study during the first month of their program. Students were randomized to the experimental or control learning activity. Experimental students learned to perform simple tasks while simulating paraplegia and hemiplegia. Control students viewed videos of others completing tasks with these impairments. Before and after the learning activities, all students estimated average self-perceived health, life satisfaction, and depression ratings among people with paraplegia and hemiplegia. Experimental students increased their estimates of self-perceived health, and decreased their estimates of depression rates, among people with paraplegia and hemiplegia after the learning activity. The control activity had no effect on these estimates. Impairment simulation can be an effective way to teach rehabilitation students about the adaptations that people make to physical impairments. Positive impairment simulations should allow students to experience success in completing activities of daily living with impairments. Impairment simulation is complementary to other pedagogical methods, such as simulated clinical encounters using standardized patients. Implication of Rehabilitation It is important for rehabilitation students to learn how people live well with disabilities. Impairment simulations can improve students' assessments of quality of life with disabilities. To be beneficial, impairment simulations must include guided exposure to effective methods for completing daily tasks with disabilities.
STEM learning activity among home-educating families
NASA Astrophysics Data System (ADS)
Bachman, Jennifer
2011-12-01
Science, technology, engineering, and mathematics (STEM) learning was studied among families in a group of home-educators in the Pacific Northwest. Ethnographic methods recorded learning activity (video, audio, fieldnotes, and artifacts) which was analyzed using a unique combination of Cultural-Historical Activity Theory (CHAT) and Mediated Action (MA), enabling analysis of activity at multiple levels. Findings indicate that STEM learning activity is family-led, guided by parents' values and goals for learning, and negotiated with children to account for learner interests and differences, and available resources. Families' STEM education practice is dynamic, evolves, and influenced by larger societal STEM learning activity. Parents actively seek support and resources for STEM learning within their home-school community, working individually and collectively to share their funds of knowledge. Home-schoolers also access a wide variety of free-choice learning resources: web-based materials, museums, libraries, and community education opportunities (e.g. afterschool, weekend and summer programs, science clubs and classes, etc.). A lesson-heuristic, grounded in Mediated Action, represents and analyzes home STEM learning activity in terms of tensions between parental goals, roles, and lesson structure. One tension observed was between 'academic' goals or school-like activity and 'lifelong' goals or everyday learning activity. Theoretical and experiential learning was found in both activity, though parents with academic goals tended to focus more on theoretical learning and those with lifelong learning goals tended to be more experiential. Examples of the National Research Council's science learning strands (NRC, 2009) were observed in the STEM practices of all these families. Findings contribute to the small but growing body of empirical CHAT research in science education, specifically to the empirical base of family STEM learning practices at home. It also fills a current gap regarding STEM learning among home-educating families, a small, but growing part of society's STEM learning infrastructure for which little research exists.
ERIC Educational Resources Information Center
Minhas, Paras Singh; Ghosh, Arundhati; Swanzy, Leah
2012-01-01
Active learning is based on self-directed and autonomous teaching methods, whereas passive learning is grounded in instructor taught lectures. An animal physiology course was studied over a two-year period (Year 1, n = 42 students; Year 2, n = 30 students) to determine the effects of student-led seminar (andragogical) and lecture (pedagogical)…
ERIC Educational Resources Information Center
Mudrikah, Achmad
2016-01-01
The research has shown a model of learning activities that can be used to stimulate reflective abstraction in students. Reflective abstraction as a method of constructing knowledge in the Action-Process-Object-Schema theory, and is expected to occur when students are in learning activities, will be able to encourage students to make the process of…
Learning to Rapidly Re-Contact the Lost Plume in Chemical Plume Tracing
Cao, Meng-Li; Meng, Qing-Hao; Wang, Jia-Ying; Luo, Bing; Jing, Ya-Qi; Ma, Shu-Gen
2015-01-01
Maintaining contact between the robot and plume is significant in chemical plume tracing (CPT). In the time immediately following the loss of chemical detection during the process of CPT, Track-Out activities bias the robot heading relative to the upwind direction, expecting to rapidly re-contact the plume. To determine the bias angle used in the Track-Out activity, we propose an online instance-based reinforcement learning method, namely virtual trail following (VTF). In VTF, action-value is generalized from recently stored instances of successful Track-Out activities. We also propose a collaborative VTF (cVTF) method, in which multiple robots store their own instances, and learn from the stored instances, in the same database. The proposed VTF and cVTF methods are compared with biased upwind surge (BUS) method, in which all Track-Out activities utilize an offline optimized universal bias angle, in an indoor environment with three different airflow fields. With respect to our experimental conditions, VTF and cVTF show stronger adaptability to different airflow environments than BUS, and furthermore, cVTF yields higher success rates and time-efficiencies than VTF. PMID:25825974
Analysis of a Constellation Lab Cooperative Learning Activity
NASA Astrophysics Data System (ADS)
Gauthier, A. J.
2001-12-01
A cooperative learning activity was designed for use in the undergraduate laboratory course Introduction to Astronomical Observation. This group exercise enhances the student's learning of constellations and will hopefully increase retention of the material throughout the semester. It also serves as an "ice-breaker" during the first week of lab, promoting student involvement and vested interest in the course. To gain some insight into the student mind, a survey was conducted to evaluate the usefulness and overall opinion of this method. The students who completed the survey had previously been enrolled in a pre-requisite astronomy course that also required a constellation lab. In this previous course they "learned" the constellations from an instructor and a flashlight beam, studied them on their own, and then promptly took a quiz. Both methods are analyzed from an instructional designer's point of view and suggestions for future activities are presented. The preliminary results and accompanying activity will be discussed in poster and hand-out medium.
Duane, Barbara T; Satre, Maria E
2014-01-01
In nursing education, students participate in individual learner testing. This process follows the instructionist learning theory of a system model. However, in the practice of nursing, success depends upon collaboration with numerous people in different capacities, critical thinking, clinical reasoning, and the ability to communicate with others. Research has shown that collaborative testing, a constructivism learning activity and a form of collaborative learning, enhances students' abilities to master these areas. Collaborative testing is a clear, creative strategy which constructivists would say supports the socio-linguistic base of their learning theory. The test becomes an active implementation of peer-mediated learning where individual knowledge is enhanced through problem solving or defense of an individual position with the collaborative method. There is criticism for the testing method's potential of grade inflation and for students to receive grade benefits with little effort. After a review of various collaborative testing methods, this nursing faculty implemented a collaborative testing format that addresses both the positive and negative aspects of the process. Copyright © 2013 Elsevier Ltd. All rights reserved.
An open mind to closed borders
NASA Astrophysics Data System (ADS)
Fallet, Ulrike; Lefeber, Bob
2017-04-01
One aspect of "Science in tomorrow's classroom" is teaching geography students the basic skills and knowledge to play an active role in society as citizens. Topics that frame the development of good citizenship are wide-ranged and include climate change, migration and integration as well as democracy and identity. Often these kinds of topics do not allow for right or wrong answers or classroom lectures; it is more important to encourage students to find and discuss arguments with which to underpin their opinion. In this way, civic education is very suitable for active learning. Active learning is described as a method of learning in which students are actively involved in the learning process through (group) discussion, experiments or games. By doing so, students are stimulated to engage in higher-order thinking tasks such as analysis, synthesis, and evaluation, which are inherent to becoming responsible, reflective and critical citizens as well as (future) scientists. It has also been shown that the use of active learning methods significantly increased the number of meaningful geographical relationships that students give in tests (Karkdijk, 2012). I, therefore, propose to use active learning to approach civic education in the classroom. Specifically, I used a "mystery" to engage students in active learning on the highly polarizing subject of migration. A mystery (Leat, 1990) is a didactic method that uses short bits of information to solve an intriguing question. A current polarizing subject in society and in the classroom is the migration from Northern Africa and the Middle East to Europe and the increasing number of terrorist attacks by individuals who have radicalised before, during or after their journey over the Mediterranean. In class, students were asked to solve this migration mystery: "Could the terrorist attack in Berlin have been stopped by closing the borders of the Mediterranean countries to migrants?" In order to solve this mystery and to find an answer to this polarizing question, students got clues, which they had to analyse and discuss. Through solving this migration mystery, high-school students were encouraged to keep 'an open mind to closed borders' and learned important steps of the scientific thinking process as well as experience the nuance in a widely discussed civic case.
Chan, Zenobia C Y
2013-08-01
The implementation of art education in nursing is said to have positive effects on nursing students. Most studies applied visual art dialogues or object design, whereas the effectiveness of drawing as a teaching and learning method is rarely examined and discussed. This paper aimed to discuss the potential and effectiveness of drawing as a learning and teaching method. Four drawings which were created by Hong Kong nursing students are demonstrated and the students' perspectives of how drawing enhanced learning are shown in this paper. Topics on drawing as a fun teaching and learning method and the way it can enhance critical thinking and creativity are also discussed. In conclusion, the activity was a great success, and students enjoyed the learning process and reflected positive comments. However, we cannot conclude that drawing is an effective teaching and learning method based on a single paper, therefore more similar studies should be conducted to investigate this method. Copyright © 2012 Elsevier Ltd. All rights reserved.
Current Situation and Analysis of Geography Teachers' Active Learning Knowledge and Usage in Turkey
ERIC Educational Resources Information Center
Tuna, Fikret
2012-01-01
In parallel to the developments in the approach to education, the secondary education geography curriculum in Turkey was renewed in 2005. This new programme encourages the use of active learning methods and techniques in the classroom by adopting the idea that students should construct and interpret knowledge by actively participating in the…
Activating Generative Learning in Organizations through Optimizing Relational Strategies
ERIC Educational Resources Information Center
Park, Mary Kay
2010-01-01
Using a grounded theory method, this dissertation seeks to discover how relationships impact organizational generative learning. An organization is a socially constructed reality and organizational learning is situated in the process of co-participation. To discover the link between relationships and generative learning this study considers the…
School to community: service learning in hospitaliy and tourism
Kimberly Monk; Jessica Bourdeau; Michele Capra
2007-01-01
In the effort to augment hospitality and tourism education beyond classroom instruction and internships, the added instructional methodology of community service learning is suggested. Service learning is an instructional method where students learn and develop through active participation in organized experiences that meet actual needs, increasing their sense of...
Active learning: a step towards automating medical concept extraction.
Kholghi, Mahnoosh; Sitbon, Laurianne; Zuccon, Guido; Nguyen, Anthony
2016-03-01
This paper presents an automatic, active learning-based system for the extraction of medical concepts from clinical free-text reports. Specifically, (1) the contribution of active learning in reducing the annotation effort and (2) the robustness of incremental active learning framework across different selection criteria and data sets are determined. The comparative performance of an active learning framework and a fully supervised approach were investigated to study how active learning reduces the annotation effort while achieving the same effectiveness as a supervised approach. Conditional random fields as the supervised method, and least confidence and information density as 2 selection criteria for active learning framework were used. The effect of incremental learning vs standard learning on the robustness of the models within the active learning framework with different selection criteria was also investigated. The following 2 clinical data sets were used for evaluation: the Informatics for Integrating Biology and the Bedside/Veteran Affairs (i2b2/VA) 2010 natural language processing challenge and the Shared Annotated Resources/Conference and Labs of the Evaluation Forum (ShARe/CLEF) 2013 eHealth Evaluation Lab. The annotation effort saved by active learning to achieve the same effectiveness as supervised learning is up to 77%, 57%, and 46% of the total number of sequences, tokens, and concepts, respectively. Compared with the random sampling baseline, the saving is at least doubled. Incremental active learning is a promising approach for building effective and robust medical concept extraction models while significantly reducing the burden of manual annotation. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Achievement of learning outcome after implemented physical modules based on problem based learning
NASA Astrophysics Data System (ADS)
Isna, R.; Masykuri, M.; Sukarmin
2018-03-01
Implementation of Problem BasedLearning (PBL) modules can grow the students' thinking skills to solve the problems in daily life and equip the students into higher education levels. The purpose of this research is to know the achievement of learning outcome after implementation physics module based on PBL in Newton,s Law of Gravity. This research method use the experimental method with posttest only group design. To know the achievement of student learning outcomes was analyzed using t test through application of SPSS 18. Based on research result, it is found that the average of student learning outcomes after appliying physics module based on PBL has reached the minimal exhaustiveness criteria. In addition, students' scientific attitudes also improved at each meeting. Presentation activities which contained at learning sync are also able to practice speaking skills and broaden their knowledge. Looking at some shortcomings during the study, it is suggested the issues raised into learning should be a problem close to the life of students so that, the students are more active and enthusiastic in following the learning of physics.
Assessing student clinical learning experiences.
Nehyba, Katrine; Miller, Susan; Connaughton, Joanne; Singer, Barbara
2017-08-01
This article describes the use of an activity worksheet and questionnaire to investigate the learning experience of students on clinical placement. The worksheet measures the amount of time students spend in different learning activities, and the questionnaire explores student satisfaction and preferred learning activities. An activity worksheet and questionnaire … investigate[d] the learning experiences of students on clinical placement METHODS: The activity worksheet and questionnaire were used in a cohort pilot study of physiotherapy students on clinical placement. The activity worksheet provides details of the amount of time students engage in a range of clinical and non-clinical tasks while on placement, such as time spent treating patients, working individually, working with their peers and engaging in reflective practice. In combination with the questionnaire results, it allows clinicians to gain an understanding of the clinical learning environment experienced by their students. The data collected using these tools provide a description of the students' activities while undertaking the clinical placement. This information may guide the refinement of the clinical experience, and offers an opportunity to individualise learning activities to match students' needs and preferences. © 2016 John Wiley & Sons Ltd and The Association for the Study of Medical Education.
Minimization of annotation work: diagnosis of mammographic masses via active learning
NASA Astrophysics Data System (ADS)
Zhao, Yu; Zhang, Jingyang; Xie, Hongzhi; Zhang, Shuyang; Gu, Lixu
2018-06-01
The prerequisite for establishing an effective prediction system for mammographic diagnosis is the annotation of each mammographic image. The manual annotation work is time-consuming and laborious, which becomes a great hindrance for researchers. In this article, we propose a novel active learning algorithm that can adequately address this problem, leading to the minimization of the labeling costs on the premise of guaranteed performance. Our proposed method is different from the existing active learning methods designed for the general problem as it is specifically designed for mammographic images. Through its modified discriminant functions and improved sample query criteria, the proposed method can fully utilize the pairing of mammographic images and select the most valuable images from both the mediolateral and craniocaudal views. Moreover, in order to extend active learning to the ordinal regression problem, which has no precedent in existing studies, but is essential for mammographic diagnosis (mammographic diagnosis is not only a classification task, but also an ordinal regression task for predicting an ordinal variable, viz. the malignancy risk of lesions), multiple sample query criteria need to be taken into consideration simultaneously. We formulate it as a criteria integration problem and further present an algorithm based on self-adaptive weighted rank aggregation to achieve a good solution. The efficacy of the proposed method was demonstrated on thousands of mammographic images from the digital database for screening mammography. The labeling costs of obtaining optimal performance in the classification and ordinal regression task respectively fell to 33.8 and 19.8 percent of their original costs. The proposed method also generated 1228 wins, 369 ties and 47 losses for the classification task, and 1933 wins, 258 ties and 185 losses for the ordinal regression task compared to the other state-of-the-art active learning algorithms. By taking the particularities of mammographic images, the proposed AL method can indeed reduce the manual annotation work to a great extent without sacrificing the performance of the prediction system for mammographic diagnosis.
Minimization of annotation work: diagnosis of mammographic masses via active learning.
Zhao, Yu; Zhang, Jingyang; Xie, Hongzhi; Zhang, Shuyang; Gu, Lixu
2018-05-22
The prerequisite for establishing an effective prediction system for mammographic diagnosis is the annotation of each mammographic image. The manual annotation work is time-consuming and laborious, which becomes a great hindrance for researchers. In this article, we propose a novel active learning algorithm that can adequately address this problem, leading to the minimization of the labeling costs on the premise of guaranteed performance. Our proposed method is different from the existing active learning methods designed for the general problem as it is specifically designed for mammographic images. Through its modified discriminant functions and improved sample query criteria, the proposed method can fully utilize the pairing of mammographic images and select the most valuable images from both the mediolateral and craniocaudal views. Moreover, in order to extend active learning to the ordinal regression problem, which has no precedent in existing studies, but is essential for mammographic diagnosis (mammographic diagnosis is not only a classification task, but also an ordinal regression task for predicting an ordinal variable, viz. the malignancy risk of lesions), multiple sample query criteria need to be taken into consideration simultaneously. We formulate it as a criteria integration problem and further present an algorithm based on self-adaptive weighted rank aggregation to achieve a good solution. The efficacy of the proposed method was demonstrated on thousands of mammographic images from the digital database for screening mammography. The labeling costs of obtaining optimal performance in the classification and ordinal regression task respectively fell to 33.8 and 19.8 percent of their original costs. The proposed method also generated 1228 wins, 369 ties and 47 losses for the classification task, and 1933 wins, 258 ties and 185 losses for the ordinal regression task compared to the other state-of-the-art active learning algorithms. By taking the particularities of mammographic images, the proposed AL method can indeed reduce the manual annotation work to a great extent without sacrificing the performance of the prediction system for mammographic diagnosis.
ERIC Educational Resources Information Center
Massie, DeAnna
2017-01-01
College instructors are content experts but ineffective at creating engaging and productive learning environments. This mixed methods study explored how improvisational theatre techniques affect college instructors' ability to increase student engagement and learning. Theoretical foundations included engagement, active learning, collaboration and…
Moments of movement: active learning and practice development.
Dewing, Jan
2010-01-01
As our understanding of practice development becomes more sophisticated, we enhance our understanding of how the facilitation of learning in and from practice, can be more effectively achieved. This paper outlines an approach for enabling and maximizing learning within practice development known as 'Active Learning'. It considers how, given establishing a learning culture is a prerequisite for the sustainability of PD within organisations, practice developers can do more to maximize learning for practitioners and other stakeholders. Active Learning requires that more attention be given by organisations committed to PD, at a corporate and strategic level for how learning strategies are developed in the workplace. Specifically, a move away from a heavy reliance on training may be required. Practice development facilitators also need to review: how they organise and offer learning, so that learning strategies are consistent with the vision, aims and processes of PD; have skills in the planning, delivery and evaluation of learning as part of their role and influence others who provide more traditional methods of training and education.
Using Ensemble Decisions and Active Selection to Improve Low-Cost Labeling for Multi-View Data
NASA Technical Reports Server (NTRS)
Rebbapragada, Umaa; Wagstaff, Kiri L.
2011-01-01
This paper seeks to improve low-cost labeling in terms of training set reliability (the fraction of correctly labeled training items) and test set performance for multi-view learning methods. Co-training is a popular multiview learning method that combines high-confidence example selection with low-cost (self) labeling. However, co-training with certain base learning algorithms significantly reduces training set reliability, causing an associated drop in prediction accuracy. We propose the use of ensemble labeling to improve reliability in such cases. We also discuss and show promising results on combining low-cost ensemble labeling with active (low-confidence) example selection. We unify these example selection and labeling strategies under collaborative learning, a family of techniques for multi-view learning that we are developing for distributed, sensor-network environments.
ERIC Educational Resources Information Center
Leveritt, Michael; Ball, Lauren; Desbrow, Jane
2013-01-01
The aim of this study was to describe student learning after completing an experiential learning task that was designed to develop students' knowledge of food and food preparation methods. The task required students to follow a special diet and then complete a daily online journal entry about the experience for other students to read and review.…
[Systemic learning planification for medical students during oncology clinical rotation].
Gonçalves, Anthony; Viens, Patrice; Gilabert, Marine; Turrini, Olivier; Lambaudie, Eric; Prebet, Thomas; Farnault, Bertrand; Eisinger, François; Gorincour, Guillaume; Bertucci, François
2011-12-01
The expected increase in cancer incidence emphasizes the need for specific training in this area, including either family physician or specialized oncologists. In France, the fourth to sixth years of medical teaching include both theoretical classes at the university and daily actual practice at the hospital. Thus, clinical rotations are thought to play a major role in the training of medical students and also largely participate to the choice of the student of his/her final specialty. Pedagogic quality of these rotations is dependent on multiple parameters, including a rigorous planification of the expected learning. Here, we reported a systemic planification of learning activities for medical students during an oncology rotation at the Paoli-Calmettes Institute in Marseille, France, a regional comprehensive cancer center. This planification includes an evaluation of learning requirements, definition of learning objectives, selection of learning methods and choice of methods of assessment of the students' achievement of these objectives as well as the learning activity itself.
Active learning based segmentation of Crohns disease from abdominal MRI.
Mahapatra, Dwarikanath; Vos, Franciscus M; Buhmann, Joachim M
2016-05-01
This paper proposes a novel active learning (AL) framework, and combines it with semi supervised learning (SSL) for segmenting Crohns disease (CD) tissues from abdominal magnetic resonance (MR) images. Robust fully supervised learning (FSL) based classifiers require lots of labeled data of different disease severities. Obtaining such data is time consuming and requires considerable expertise. SSL methods use a few labeled samples, and leverage the information from many unlabeled samples to train an accurate classifier. AL queries labels of most informative samples and maximizes gain from the labeling effort. Our primary contribution is in designing a query strategy that combines novel context information with classification uncertainty and feature similarity. Combining SSL and AL gives a robust segmentation method that: (1) optimally uses few labeled samples and many unlabeled samples; and (2) requires lower training time. Experimental results show our method achieves higher segmentation accuracy than FSL methods with fewer samples and reduced training effort. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Collaborative action research: implementation of cooperative learning.
Smith-Stoner, Marilyn; Molle, Mary E
2010-06-01
Nurse educators must continually improve their teaching skills through innovation. However, research about the process used by faculty members to transform their teaching methods is limited. This collaborative study uses classroom action research to describe, analyze, and address problems encountered in implementing cooperative learning in two undergraduate nursing courses. After four rounds of action and reflection, the following themes emerged: students did not understand the need for structured cooperative learning; classroom structure and seating arrangement influenced the effectiveness of activities; highly structured activities engaged the students; and short, targeted activities that involved novel content were most effective. These findings indicate that designing specific activities to prepare students for class is critical to cooperative learning. Copyright 2010, SLACK Incorporated.
Body painting to promote self-active learning of hand anatomy for preclinical medical students.
Jariyapong, Pitchanee; Punsawad, Chuchard; Bunratsami, Suchirat; Kongthong, Paranyu
2016-01-01
Background The purpose of this study was to use the body painting method to teach hand anatomy to a group of preclinical medical students. Methods Students reviewed hand anatomy using the traditional method and body painting exercise. Feedback and retention of the anatomy-related information were examined by a questionnaire and multiple-choice questions, respectively, immediately and 1 month after the painting exercise. Results Students agreed that the exercise was advantageous and helped facilitate self-active learning after in-class anatomy lessons. While there was no significant difference in knowledge retention between the control and experimental groups, the students appreciated the exercise in which they applied body paint to the human body to learn anatomy. Conclusion The body painting was an efficient tool for aiding the interactive learning of medical students and increasing the understanding of gross anatomy.
2013-01-01
Background Educational computer games are examples of computer-assisted learning objects, representing an educational strategy of growing interest. Given the changes in the digital world over the last decades, students of the current generation expect technology to be used in advancing their learning requiring a need to change traditional passive learning methodologies to an active multisensory experimental learning methodology. The objective of this study was to compare a computer game-based learning method with a traditional learning method, regarding learning gains and knowledge retention, as means of teaching head and neck Anatomy and Physiology to Speech-Language and Hearing pathology undergraduate students. Methods Students were randomized to participate to one of the learning methods and the data analyst was blinded to which method of learning the students had received. Students’ prior knowledge (i.e. before undergoing the learning method), short-term knowledge retention and long-term knowledge retention (i.e. six months after undergoing the learning method) were assessed with a multiple choice questionnaire. Students’ performance was compared considering the three moments of assessment for both for the mean total score and for separated mean scores for Anatomy questions and for Physiology questions. Results Students that received the game-based method performed better in the pos-test assessment only when considering the Anatomy questions section. Students that received the traditional lecture performed better in both post-test and long-term post-test when considering the Anatomy and Physiology questions. Conclusions The game-based learning method is comparable to the traditional learning method in general and in short-term gains, while the traditional lecture still seems to be more effective to improve students’ short and long-term knowledge retention. PMID:23442203
Maskiewicz, April Cordero; Griscom, Heather Peckham; Welch, Nicole Turrill
2012-01-01
In this study, we used targeted active-learning activities to help students improve their ways of reasoning about carbon flow in ecosystems. The results of a validated ecology conceptual inventory (diagnostic question clusters [DQCs]) provided us with information about students' understanding of and reasoning about transformation of inorganic and organic carbon-containing compounds in biological systems. These results helped us identify specific active-learning exercises that would be responsive to students' existing knowledge. The effects of the active-learning interventions were then examined through analysis of students' pre- and postinstruction responses on the DQCs. The biology and non-biology majors participating in this study attended a range of institutions and the instructors varied in their use of active learning; one lecture-only comparison class was included. Changes in pre- to postinstruction scores on the DQCs showed that an instructor's teaching method had a highly significant effect on student reasoning following course instruction, especially for questions pertaining to cellular-level, carbon-transforming processes. We conclude that using targeted in-class activities had a beneficial effect on student learning regardless of major or class size, and argue that using diagnostic questions to identify effective learning activities is a valuable strategy for promoting learning, as gains from lecture-only classes were minimal.
Maskiewicz, April Cordero; Griscom, Heather Peckham; Welch, Nicole Turrill
2012-01-01
In this study, we used targeted active-learning activities to help students improve their ways of reasoning about carbon flow in ecosystems. The results of a validated ecology conceptual inventory (diagnostic question clusters [DQCs]) provided us with information about students' understanding of and reasoning about transformation of inorganic and organic carbon-containing compounds in biological systems. These results helped us identify specific active-learning exercises that would be responsive to students' existing knowledge. The effects of the active-learning interventions were then examined through analysis of students' pre- and postinstruction responses on the DQCs. The biology and non–biology majors participating in this study attended a range of institutions and the instructors varied in their use of active learning; one lecture-only comparison class was included. Changes in pre- to postinstruction scores on the DQCs showed that an instructor's teaching method had a highly significant effect on student reasoning following course instruction, especially for questions pertaining to cellular-level, carbon-transforming processes. We conclude that using targeted in-class activities had a beneficial effect on student learning regardless of major or class size, and argue that using diagnostic questions to identify effective learning activities is a valuable strategy for promoting learning, as gains from lecture-only classes were minimal. PMID:22383618
Transforming Early Childhood Education through Critical Reflection
ERIC Educational Resources Information Center
Anderson, Elizabeth M.
2014-01-01
There is tension growing in early childhood education between an emphasis on higher learning standards, teacher-directed activities, and evidence-based instructional methods and maintaining active, dynamic and integrated learning experiences for young children. This short essay highlights the ways in which our existing values and beliefs,…
Active Learning Strategies for the Mathematics Classroom
ERIC Educational Resources Information Center
Kerrigan, John
2018-01-01
Active learning involves students engaging with course content beyond lecture: through writing, applets, simulations, games, and more (Prince, 2004). As mathematics is often viewed as a subject area that is taught using more traditional methods (Goldsmith & Mark, 1999), there are actually many simple ways to make undergraduate mathematics…
Almutairi, Adel F.; Alhelih, Eyad M.; Alshehry, Abdualrahman S.
2017-01-01
Objective The present study aimed to identify the most common learning preferences among the nursing students in Saudi Arabia and to investigate the associations of certain demographic variables with the learning preferences. Methods All the undergraduate nursing students in the nursing college were requested to participate in this descriptive cross-sectional study. An Arabic version of the Felder-Silverman learning style model (FSLSM) questionnaire was used to examine the learning preferences among undergraduate nursing students. Results A total of 56 (43%) completed questionnaires were included in the final analysis. Results of the present study indicate that the most common learning preferences among the nursing students were visual (67.9%), followed by active (50%) and sequential (37.5%) learning preferences. The verbal style was the least common learning preference (3.6%) among the nursing students. There was no association between gender and learning preferences (p > .05). Conclusion The present study concluded that the visual, active, and sequential styles are the commonest learning preferences among the nursing students. The nursing educators should emphasize the use of this information in their teaching methods to improve learning skills among the nursing students. PMID:28630767
Rezende-Filho, Flávio Moura; da Fonseca, Lucas José Sá; Nunes-Souza, Valéria; Guedes, Glaucevane da Silva; Rabelo, Luiza Antas
2014-09-15
Teaching physiology, a complex and constantly evolving subject, is not a simple task. A considerable body of knowledge about cognitive processes and teaching and learning methods has accumulated over the years, helping teachers to determine the most efficient way to teach, and highlighting student's active participation as a means to improve learning outcomes. In this context, this paper describes and qualitatively analyzes an experience of a student-centered teaching-learning methodology based on the construction of physiological-physical models, focusing on their possible application in the practice of teaching physiology. After having Physiology classes and revising the literature, students, divided in small groups, built physiological-physical models predominantly using low-cost materials, for studying different topics in Physiology. Groups were followed by monitors and guided by teachers during the whole process, finally presenting the results in a Symposium on Integrative Physiology. Along the proposed activities, students were capable of efficiently creating physiological-physical models (118 in total) highly representative of different physiological processes. The implementation of the proposal indicated that students successfully achieved active learning and meaningful learning in Physiology while addressing multiple learning styles. The proposed method has proved to be an attractive, accessible and relatively simple approach to facilitate the physiology teaching-learning process, while facing difficulties imposed by recent requirements, especially those relating to the use of experimental animals and professional training guidelines. Finally, students' active participation in the production of knowledge may result in a holistic education, and possibly, better professional practices.
Grimes, Catherine Leimkuhler; White, Harold B
2015-01-01
There are barriers to adoption of research-based teaching methods. Professional development workshops may inform faculty of these methods, but effective adoption often does not follow. In addition, newly-minted research-active faculty are often overwhelmed by the many new responsibilities (grant writing, group management, laboratory setup, teaching) that accompany the position and normally do not have the time to consider novel teaching approaches. This case study documents how over a three-year period, the responsibility for teaching a nontraditional "Introduction to Biochemistry" course in a problem-based learning format was successfully transferred from a senior faculty member nearing retirement (HBW) to a newly-hired research-active assistant professor (CLG). We describe our apprenticeship project involving modeling, scaffolding, fading, and coaching. We suggest that involving faculty in active-learning pedagogy early in their career with mentoring by senior faculty overcomes barriers to adopting these methods. This case describes a specific example from which potentially useful elements can be adopted and adapted wherever biochemistry is taught. © 2015 The International Union of Biochemistry and Molecular Biology.
Working-Class Students and Historical Inquiry: Transforming Learning in the Classroom
ERIC Educational Resources Information Center
Schuster, Leslie A.
2008-01-01
For the past twelve years, the author has been teaching a lower division introductory historical methods course that uses active learning to introduce students to the issues and practices of historical methods, the "how to" of historical inquiry, research and writing. In her methods course, she is working to take into account the perspectives and…
Active Learning with Irrelevant Examples
NASA Technical Reports Server (NTRS)
Wagstaff, Kiri; Mazzoni, Dominic
2009-01-01
An improved active learning method has been devised for training data classifiers. One example of a data classifier is the algorithm used by the United States Postal Service since the 1960s to recognize scans of handwritten digits for processing zip codes. Active learning algorithms enable rapid training with minimal investment of time on the part of human experts to provide training examples consisting of correctly classified (labeled) input data. They function by identifying which examples would be most profitable for a human expert to label. The goal is to maximize classifier accuracy while minimizing the number of examples the expert must label. Although there are several well-established methods for active learning, they may not operate well when irrelevant examples are present in the data set. That is, they may select an item for labeling that the expert simply cannot assign to any of the valid classes. In the context of classifying handwritten digits, the irrelevant items may include stray marks, smudges, and mis-scans. Querying the expert about these items results in wasted time or erroneous labels, if the expert is forced to assign the item to one of the valid classes. In contrast, the new algorithm provides a specific mechanism for avoiding querying the irrelevant items. This algorithm has two components: an active learner (which could be a conventional active learning algorithm) and a relevance classifier. The combination of these components yields a method, denoted Relevance Bias, that enables the active learner to avoid querying irrelevant data so as to increase its learning rate and efficiency when irrelevant items are present. The algorithm collects irrelevant data in a set of rejected examples, then trains the relevance classifier to distinguish between labeled (relevant) training examples and the rejected ones. The active learner combines its ranking of the items with the probability that they are relevant to yield a final decision about which item to present to the expert for labeling. Experiments on several data sets have demonstrated that the Relevance Bias approach significantly decreases the number of irrelevant items queried and also accelerates learning speed.
Grover, Sumit; Sood, Neena; Chaudhary, Anurag
2017-01-01
Peer-assisted learning (PAL) is a teaching-learning method in which students act as peer teachers and help other students to learn while also themselves learning by teaching. PAL through modified interest building activities (MIBAs) is seldom tried in teaching pathology in medical colleges. This study aimed to evaluate the usefulness of peer teaching using MIBA, obtain feedback from students, and compare different activities with each other and with traditional teaching-learning methods. An interventional pilot study was conducted in 2 months on the 2nd MBBS undergraduates learning pathology at a medical college in North India. Students acted as peer teachers and performed different MIBAs including role plays, demonstration of pathogenesis through props, student-led seminars such as PowerPoint teaching, blackboard teaching, multiple choice question seminars, case-based learning (CBL) exercises, and quizzes before teaching sessions. Feedback was obtained through structured questionnaires on a 5-point Likert scale. Paired t-test was used to compare traditional teaching with MIBAs, and Friedman test was used to compare among different MIBAs. Students found ease of understanding and the interaction and involvement of students as the most important benefits of PAL. MIBAs increased voluntary participation, coordination, teamwork, shared responsibility, and group dynamics among students. Quiz sessions followed by PowerPoint seminars and prop demonstrations received highest mean scores from students on most of the parameters. Quizzes, blackboard teaching, prop activities, and CBL helped students understand topics better and generated interest. Learners advocated for making MIBAs and PAL compulsory for future students. PAL complemented by MIBAs may be adopted to make teaching-learning more interesting and effective through the active involvement and participation of students.
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks
Zhu, Junxing; Zhang, Jiawei; Wu, Quanyuan; Jia, Yan; Zhou, Bin; Wei, Xiaokai; Yu, Philip S.
2017-01-01
Nowadays, people are usually involved in multiple heterogeneous social networks simultaneously. Discovering the anchor links between the accounts owned by the same users across different social networks is crucial for many important inter-network applications, e.g., cross-network link transfer and cross-network recommendation. Many different supervised models have been proposed to predict anchor links so far, but they are effective only when the labeled anchor links are abundant. However, in real scenarios, such a requirement can hardly be met and most anchor links are unlabeled, since manually labeling the inter-network anchor links is quite costly and tedious. To overcome such a problem and utilize the numerous unlabeled anchor links in model building, in this paper, we introduce the active learning based anchor link prediction problem. Different from the traditional active learning problems, due to the one-to-one constraint on anchor links, if an unlabeled anchor link a=(u,v) is identified as positive (i.e., existing), all the other unlabeled anchor links incident to account u or account v will be negative (i.e., non-existing) automatically. Viewed in such a perspective, asking for the labels of potential positive anchor links in the unlabeled set will be rewarding in the active anchor link prediction problem. Various novel anchor link information gain measures are defined in this paper, based on which several constraint active anchor link prediction methods are introduced. Extensive experiments have been done on real-world social network datasets to compare the performance of these methods with state-of-art anchor link prediction methods. The experimental results show that the proposed Mean-entropy-based Constrained Active Learning (MC) method can outperform other methods with significant advantages. PMID:28771201
Zhu, Junxing; Zhang, Jiawei; Wu, Quanyuan; Jia, Yan; Zhou, Bin; Wei, Xiaokai; Yu, Philip S
2017-08-03
Nowadays, people are usually involved in multiple heterogeneous social networks simultaneously. Discovering the anchor links between the accounts owned by the same users across different social networks is crucial for many important inter-network applications, e.g., cross-network link transfer and cross-network recommendation. Many different supervised models have been proposed to predict anchor links so far, but they are effective only when the labeled anchor links are abundant. However, in real scenarios, such a requirement can hardly be met and most anchor links are unlabeled, since manually labeling the inter-network anchor links is quite costly and tedious. To overcome such a problem and utilize the numerous unlabeled anchor links in model building, in this paper, we introduce the active learning based anchor link prediction problem. Different from the traditional active learning problems, due to the one-to-one constraint on anchor links, if an unlabeled anchor link a = ( u , v ) is identified as positive (i.e., existing), all the other unlabeled anchor links incident to account u or account v will be negative (i.e., non-existing) automatically. Viewed in such a perspective, asking for the labels of potential positive anchor links in the unlabeled set will be rewarding in the active anchor link prediction problem. Various novel anchor link information gain measures are defined in this paper, based on which several constraint active anchor link prediction methods are introduced. Extensive experiments have been done on real-world social network datasets to compare the performance of these methods with state-of-art anchor link prediction methods. The experimental results show that the proposed Mean-entropy-based Constrained Active Learning (MC) method can outperform other methods with significant advantages.
NASA Astrophysics Data System (ADS)
Wilson, Penne L.
2007-12-01
This study was conducted as part of the five year evaluation of the Star Schools grant awarded to Oklahoma State University for the development on online teacher professional development in the Hypothesis Based Learning (HbL) method of science instruction. Participants in this research were five teachers who had completed the online workshop, submitted a lesson plan, and who allowed this researcher and other members of the University of New Mexico Evaluation Team into their classrooms to observe and to determine if the learning of the method from the online HbL workshop had translated into practice. These teachers worked in inner city, suburban, metropolitan, and rural communities in the U.S. Southwest. This study was conducted to determine if teachers learned the HbL method from the online HbL workshop, to examine the relationship of satisfaction to learning, and to determine the elements of the online workshop that led to teacher learning. To measure learning of HbL, three different assessment instruments were used: embedded assessments within the online HbL workshop that gave teachers a scenario and asked them to generate questions to facilitate the HbL process; the analysis of a lesson plan provided by teachers using a science concept that they wished to incorporate in their curriculum using an HbL lesson template provided at the HbL website; and, observations of teachers facilitating the HbL process conducted at three different times during the year that they began the HbL online workshop. To determine if teachers were satisfied with the learning environment, the online HbL workshop, and the product, HbL Method for Teaching Science, and to determine if teachers could identify the elements of the online workshop that led to learning, interviews with the participants were conducted. The research findings were presented in two parts: Part I is an analysis of data provided by the assessment instruments and a content analysis of the transcripts of the teacher interviews; Part II is a series of embedded, explanatory case studies which present an in-depth examination of three of the participants of this study to better understand the factors that influenced their learning of the HbL method of teaching science. Findings of this study indicate that teachers did learn the HbL method of teaching science through the online HbL workshop, the only place instruction in the HbL method was available. The structure of the online workshop which first introduced an element of the HbL process to teachers, next asked them to conduct a personal activity, and then to use a similar activity in their classrooms with students, and to reflect on the outcome of the activity, was successful in teaching the HbL method. Teachers expressed satisfaction with the structure of the online workshop and with the HbL method which they believed made learning science fun and which encouraged students to become more creative and critical thinkers, and also increased their knowledge of science concepts. The main motivation for learning HbL and the primary factor that led to teachers' satisfaction was the students' positive reaction to the HbL method. The teachers were encouraged because the students loved to do science after being introduced to HbL. Also identified in this study was the need by a participant for the inclusion of video models of teachers using the HbL method within the HbL online workshop. This suggestion demonstrated the need to incorporate more learning styles in the activities included in the HbL workshop in order to appeal to a wider audience of online learners.
[Which learning methods are expected for ultrasound training? Blended learning on trial].
Röhrig, S; Hempel, D; Stenger, T; Armbruster, W; Seibel, A; Walcher, F; Breitkreutz, R
2014-10-01
Current teaching methods in graduate and postgraduate training often include frontal presentations. Especially in ultrasound education not only knowledge but also sensomotory and visual skills need to be taught. This requires new learning methods. This study examined which types of teaching methods are preferred by participants in ultrasound training courses before, during and after the course by analyzing a blended learning concept. It also investigated how much time trainees are willing to spend on such activities. A survey was conducted at the end of a certified ultrasound training course. Participants were asked to complete a questionnaire based on a visual analogue scale (VAS) in which three categories were defined: category (1) vote for acceptance with a two thirds majority (VAS 67-100%), category (2) simple acceptance (50-67%) and category (3) rejection (< 50%). A total of 176 trainees participated in this survey. Participants preferred an e-learning program with interactive elements, short presentations (less than 20 min), incorporating interaction with the audience, hands-on sessions in small groups, an alternation between presentations and hands-on-sessions, live demonstrations and quizzes. For post-course learning, interactive and media-assisted approaches were preferred, such as e-learning, films of the presentations and the possibility to stay in contact with instructors in order to discuss the results. Participants also voted for maintaining a logbook for documentation of results. The results of this study indicate the need for interactive learning concepts and blended learning activities. Directors of ultrasound courses may consider these aspects and are encouraged to develop sustainable learning pathways.
NASA Astrophysics Data System (ADS)
Muñoz-García, Miguel A.; Moreda, Guillermo P.; Hernández-Sánchez, Natalia; Valiño, Vanesa
2013-10-01
Active learning is one of the most efficient mechanisms for learning, according to the psychology of learning. When students act as teachers for other students, the communication is more fluent and knowledge is transferred easier than in a traditional classroom. This teaching method is referred to in the literature as reciprocal peer teaching. In this study, the method is applied to laboratory sessions of a higher education institution course, and the students who act as teachers are referred to as "laboratory monitors." A particular way to select the monitors and its impact in the final marks is proposed. A total of 181 students participated in the experiment, experiences with laboratory monitors are discussed, and methods for motivating and training laboratory monitors and regular students are proposed. The types of laboratory sessions that can be led by classmates are discussed. This work is related to the changes in teaching methods in the Spanish higher education system, prompted by the Bologna Process for the construction of the European Higher Education Area
Application of the K-W-L Teaching and Learning Method to an Introductory Physics Course
ERIC Educational Resources Information Center
Wrinkle, Cheryl Schaefer; Manivannan, Mani K.
2009-01-01
The K-W-L method of teaching is a simple method that actively engages students in their own learning. It has been used with kindergarten and elementary grades to teach other subjects. The authors have successfully used it to teach physics at the college level. In their introductory physics labs, the K-W-L method helped students think about what…
Rondon, Silmara; Sassi, Fernanda Chiarion; Furquim de Andrade, Claudia Regina
2013-02-25
Educational computer games are examples of computer-assisted learning objects, representing an educational strategy of growing interest. Given the changes in the digital world over the last decades, students of the current generation expect technology to be used in advancing their learning requiring a need to change traditional passive learning methodologies to an active multisensory experimental learning methodology. The objective of this study was to compare a computer game-based learning method with a traditional learning method, regarding learning gains and knowledge retention, as means of teaching head and neck Anatomy and Physiology to Speech-Language and Hearing pathology undergraduate students. Students were randomized to participate to one of the learning methods and the data analyst was blinded to which method of learning the students had received. Students' prior knowledge (i.e. before undergoing the learning method), short-term knowledge retention and long-term knowledge retention (i.e. six months after undergoing the learning method) were assessed with a multiple choice questionnaire. Students' performance was compared considering the three moments of assessment for both for the mean total score and for separated mean scores for Anatomy questions and for Physiology questions. Students that received the game-based method performed better in the pos-test assessment only when considering the Anatomy questions section. Students that received the traditional lecture performed better in both post-test and long-term post-test when considering the Anatomy and Physiology questions. The game-based learning method is comparable to the traditional learning method in general and in short-term gains, while the traditional lecture still seems to be more effective to improve students' short and long-term knowledge retention.
Origami: An Active Learning Exercise for Scrum Project Management
ERIC Educational Resources Information Center
Sibona, Christopher; Pourreza, Saba; Hill, Stephen
2018-01-01
Scrum is a popular project management model for iterative delivery of software that subscribes to Agile principles. This paper describes an origami active learning exercise to teach the principles of Scrum in management information systems courses. The exercise shows students how Agile methods respond to changes in requirements during project…
Making the Grade: How a Semester in Washington May Influence Future Academic Performance
ERIC Educational Resources Information Center
Lowenthal, Diane J.; Sosland, Jeffrey K.
2007-01-01
By examining American University's Washington Semester Program (AUWSP), this project analyzes the impact of intensive undergraduate experiential and active learning on subsequent student academic performance. In this article, we discuss the differences between traditional, active, and experiential learning methods to better understand the…
An Active Learning Exercise for Introducing Agent-Based Modeling
ERIC Educational Resources Information Center
Pinder, Jonathan P.
2013-01-01
Recent developments in agent-based modeling as a method of systems analysis and optimization indicate that students in business analytics need an introduction to the terminology, concepts, and framework of agent-based modeling. This article presents an active learning exercise for MBA students in business analytics that demonstrates agent-based…
An Active Learning Approach to Teach Advanced Multi-Predictor Modeling Concepts to Clinicians
ERIC Educational Resources Information Center
Samsa, Gregory P.; Thomas, Laine; Lee, Linda S.; Neal, Edward M.
2012-01-01
Clinicians have characteristics--high scientific maturity, low tolerance for symbol manipulation and programming, limited time outside of class--that limit the effectiveness of traditional methods for teaching multi-predictor modeling. We describe an active-learning based approach that shows particular promise for accommodating these…
ERIC Educational Resources Information Center
Armstrong, Chandler
2010-01-01
Collaborative learning must prompt collaborative behavior among students. Once initiated, collaboration then must facilitate awareness between students of each other's activities and knowledge. Collaborative scripts provide explicit framework and guidance for roles and activities within student interactions, and are one method of fulfilling the…
Student Perceptions of Information Literacy Instruction: The Importance of Active Learning
ERIC Educational Resources Information Center
Detlor, Brian; Booker, Lorne; Serenko, Alexander; Julien, Heidi
2012-01-01
This study investigates the merits of employing active learning strategies in the delivery of information literacy instruction (ILI). Traditional approaches to the teaching of information literacy skills--where students are passive recipients of the information they receive--are challenged. Rather, methods that encourage students to actively…
Embedding Blended Learning in a University's Teaching Culture: Experiences and Reflections
ERIC Educational Resources Information Center
Davis, Hugh C.; Fill, Karen
2007-01-01
Blended learning, the combination of traditional face-to-face teaching methods with authentic online learning activities, has the potential to transform student-learning experiences and outcomes. In spite of this advantage, university teachers often find it difficult to adopt new online techniques, in part because institutional practices are still…
NASA Astrophysics Data System (ADS)
Ratnaningsih, N.; El Akbar, R. R.; Hidayat, E.
2018-05-01
One of ways to improve students' learning ability is conduct a research, with purpose to obtain a method to improve students' ability. Research often carried out on the modification of teaching methods, uses of teaching media, motivation, interests and talents of students. Research related to the internal condition of students becomes very interesting to studied, including research on circadian rhythms. Every person in circadian rhythms has its own Chronotype, which divided into two types namely early type and night late type. Chronotype affects the comfort in activity, for example a person with Chronotype category of early type tends to be more comfort in daytime activities. The purpose of this study is to examine the conditions of students, related Chronotype suitable or appropriate for student learning time. This suitability then studied in relation to the ability of learning mathematics with self- regulated learning approach. This study consists of three stages; (i) student Chronotype measurement, (ii) data retrieval, and (iii) analysis of research results. The results show the relationship between the students' learning ability in mathematics to learning time corresponding to Chronotype.
Active-Passive-Intuitive Learning Theory: A Unified Theory of Learning and Development
ERIC Educational Resources Information Center
Sigette, Tyson
2009-01-01
This paper addresses many theories of learning and human development which are very similar with regards as to how they suggest learning occurs. The differences in most of the theories exist in how they treat the development of the learner compared to methods of teaching. Most of the major learning theories taught to educators today are based on…
ERIC Educational Resources Information Center
Warhurst, Russell
2013-01-01
Purpose: This article aims to show how in times of austerity when formal HRD activity is curtailed and yet the need for learning is greatest, non-formal learning methods such as workplace involvement and participation initiated by line managers can compensate by enabling the required learning and change. Design/methodology/approach: A qualitative…
Active Learning in the Physics Classroom
NASA Astrophysics Data System (ADS)
Naron, Carol
Many students enter physics classes filled with misconceptions about physics concepts. Students tend to retain these misconceptions into their adult lives, even after physics instruction. Constructivist researchers have found that students gain understanding through their experiences. Researchers have also found that active learning practices increase conceptual understanding of introductory physics students. This project study sought to examine whether incorporating active learning practices in an advanced placement physics classroom increased conceptual understanding as measured by the force concept inventory (FCI). Physics students at the study site were given the FCI as both a pre- and posttest. Test data were analyzed using two different methods---a repeated-measures t test and the Hake gain method. The results of this research project showed that test score gains were statistically significant, as measured by the t test. The Hake gain results indicated a low (22.5%) gain for the class. The resulting project was a curriculum plan for teaching the mechanics portion of Advanced Placement (AP) physics B as well as several active learning classroom practices supported by the research. This project will allow AP physics teachers an opportunity to improve their curricular practices. Locally, the results of this project study showed that research participants gained understanding of physics concepts. Social change may occur as teachers implement active learning strategies, thus creating improved student understanding of physics concepts.
ERIC Educational Resources Information Center
Nisa, Arida Choirun
2017-01-01
Classroom Action Research (PTK) was made after researchers observed the implementation of learning conducted mostly school teachers Extraordinary show symptoms not as expected, because the teacher still dominates teaching and learning activities centered on teachers, by looking at the lecture method is a method that The main. This raises a very…
Knowing the ABCs: A Comparative Effectiveness Study of Two Methods of Diabetes Education
Naik, Aanand D.; Teal, Cayla R.; Rodriguez, Elisa; Haidet, Paul
2011-01-01
Objective To test an active-learning, empowerment approach to teaching patients about the “diabetes ABCs” (hemoglobin A1C, systolic blood pressure, and low density lipoprotein cholesterol). Methods 84 (97%) diabetic patients who participated in a randomized effectiveness trial of two clinic-based group educational methods and completed a post-intervention assessment. The empowerment arm participated in a group session that incorporated two educational innovations (a conceptual metaphor to foster understanding, and team-based learning methods to foster active learning). The traditional diabetes education arm received a didactic group session focused on self-management and educational materials about the diabetes ABCs. Participants in both arms received individual review of their current ABC values. Results A questionnaire evaluated knowledge, understanding, and recall of the diabetes ABCs was administered three months after enrollment in the study. At three months, participants in the empowerment group demonstrated greater understanding of the diabetes ABCs (P<.0001), greater knowledge of their own values (P<.0001), and greater knowledge of guideline-derived target goals for the ABCs compared with participants in the traditional arm (P<.0001). Conclusion An active-learning, empowerment-based approach applied to diabetes education can lead to greater understanding and knowledge retention. Practice Implications An empowerment approach to education can facilitate informed, activated patients and increase performance of self-management behaviors. PMID:21300516
Bland, Andrew J; Tobbell, Jane
2015-11-01
Simulation has become an established feature of undergraduate nurse education and as such requires extensive investigation. Research limited to pre-constructed categories imposed by some questionnaire and interview methods may only provide partial understanding. This is problematic in understanding the mechanisms of learning in simulation-based education as contemporary distributed theories of learning posit that learning can be understood as the interaction of individual identity with context. This paper details a method of data collection and analysis that captures interaction of individuals within the simulation experience which can be analysed through multiple lenses, including context and through the lens of both researcher and learner. The study utilised a grounded theory approach involving 31 under-graduate third year student nurses. Data was collected and analysed through non-participant observation, digital recordings of simulation activity and focus group deconstruction of their recorded simulation by the participants and researcher. Focus group interviews enabled further clarification. The method revealed multiple levels of dynamic data, concluding that in order to better understand how students learn in social and active learning strategies, dynamic data is required enabling researchers and participants to unpack what is happening as it unfolds in action. Copyright © 2015 Elsevier Ltd. All rights reserved.
A Low-Tech, Hands-On Approach To Teaching Sorting Algorithms to Working Students.
ERIC Educational Resources Information Center
Dios, R.; Geller, J.
1998-01-01
Focuses on identifying the educational effects of "activity oriented" instructional techniques. Examines which instructional methods produce enhanced learning and comprehension. Discusses the problem of learning "sorting algorithms," a major topic in every Computer Science curriculum. Presents a low-tech, hands-on teaching method for sorting…
Evaluation as a Collaborative Activity to Learn Content Knowledge in a Graduate Course
ERIC Educational Resources Information Center
Hughes, Bob; Arbogast, Janet; Kafer, Lindsey; Chen, Julianna
2014-01-01
Teaching graduate students to conduct evaluations is typically relegated to evaluation methods courses. This approach misses an opportunity for students to collaboratively use evaluation skills to explore content. This article examines a graduate course, Issues in Adult Basic Education, in which students learned evaluation methods concurrently…
ERIC Educational Resources Information Center
Rivas, Rodolfo R.
2009-01-01
This exploratory study centered its investigation in the participants' responses provided in 2 different instructional teaching delivery methods (traditional and online) that utilized active-like teaching learning techniques (case studies, group projects, threaded discussions, class discussions, office hours, lectures, computerized assignments,…
Minhas, Paras Singh; Ghosh, Arundhati; Swanzy, Leah
2012-01-01
Active learning is based on self-directed and autonomous teaching methods, whereas passive learning is grounded in instructor taught lectures. An animal physiology course was studied over a two-year period (Year 1, n = 42 students; Year 2, n = 30 students) to determine the effects of student-led seminar (andragogical) and lecture (pedagogical) teaching methods on students' retention of information and performance. For each year of the study, the course was divided into two time periods. The first half was dedicated to instructor-led lectures, followed by a control survey in which the students rated the efficiency of pedagogical learning on a five-point Likert scale from one (strongly disagree) to five (strongly agree). During the second period, students engaged in andragogical learning via peer-led seminars. An experimental survey was then administered to students using the same scale as above to determine students' preferred teaching method. Raw examination scores and survey results from both halves of the course were statistically analyzed by ANOVA with Newman-Keuls multiple comparison test. By the end of the study, student preference for peer-led seminars increased [mean ± SD: (2.47 ± 0.94)/(4.03 ± 1.36), P < 0.04], and examination scores significantly increased [mean ± SD: (73.91% ± 13.18)/(85.77 ± 5.22), P < 0.001]. A majority of students (68.8%) preferred a method that contained peer-led seminars and instructor-led lectures. These results may indicate that integration of active and passive learning into undergraduate courses may have greater benefit in terms of student preference and performance than either method alone. Copyright © 2012 American Association of Anatomists.
NASA Astrophysics Data System (ADS)
Humphreys, R. R.; Hall, C.; Colgan, M. W.; Rhodes, E.
2010-12-01
Although inquiry-based/problem-based methods have been successfully incorporated in undergraduate lecture classes, a survey of commonly used laboratory manuals indicates that few non-major geoscience laboratory classes use these strategies. The Department of Geology and Environmental Geosciences faculty members have developed a successful introductory Environmental Geology Laboratory course for undergraduate non-majors that challenges traditional teaching methodology as illustrated in most laboratory manuals. The Environmental Geology lab activities employ active learning methods to engage and challenge students. Crucial to establishing an open learning environment is capturing the attention of non-science majors from the moment they enter the classroom. We use catastrophic ‘gloom and doom’ current events to pique the imagination with images, news stories, and videos. Once our students are hooked, we can further the learning process with use of other teaching methods: an inquiry-based approach that requires students take control of their own learning, a cooperative learning approach that requires the participation of all team members in peer learning, and a problem/case study learning approach that primarily relies on activities distilled from current events. The final outcome is focused on creating innovative methods to communicate the findings to the general public. With the general public being the audience for their communiqué, students are less intimated, more focused, and more involved in solving the problem. During lab sessions, teams of students actively engage in mastering course content and develop essential communication skills while exploring real-world scenarios. These activities allow students to use scientific reasoning and concepts to develop solutions for scenarios such as volcanic eruptions, coastal erosion/sea level rise, flooding or landslide hazards, and then creatively communicate their solutions to the public. For example, during a two-week section on Earthquakes, teams study the effects of seismic motion on sediments underlying the Charleston, South Carolina region. Students discover areas where the greatest damage occurred during the 1886 earthquake via a walking tour of Charleston. Extracting information from historical and topographic maps, and aerial and satellite imagery provides students with the necessary information to produce an earthquake hazard map of the area. Applying the creativity and knowledge base of the multidisciplinary students generates a startling array of innovative methods for communicating their results: brochures, storybooks, computer-animated hazard maps, Facebook pages, YouTube videos - even Virtual Reality avatars! When allowed to use their imaginations and resourcefulness, these students have no bounds! Not only does the application of inquiry-based problem solving methodology in conjunction with cooperative learning enhance comprehension of the material, but by allowing undergraduate students to develop methods of communicating their knowledge to the public through an interesting variety of medium, students remain focused, engaged, and even excited about learning science that otherwise intimidated them.
NASA Astrophysics Data System (ADS)
Wichalek, Supattra; Chayaburakul, Kanokporn; Santiboon, Toansakul
2018-01-01
The purposes of this action research study were 1) to develop learning activities according to the instructional designing model of science, technology, and social (STS) on Digestion Issue, 2) to compare students' learning achievements between their learning activities with the conventional instructional (CIM) and conceptual instructional designing methods of science, technology, and social (STS) on digestion system of secondary students at the 10th grade level with a sample size of 35 experimental student group of their STS learning method, and 91 controlling group in two classes in the first semester in academic year 2016. Using the 4-Instructional Innovative Lesson Plans, the Students' Learning Behaviour Observing Form, the Questionnaire on Teacher Behaviour Interaction (QTBI), the Researcher's Recording Form, the Learning Activity Form, and the Parallel Learning Achievement Test (LAT) were assessed. The results of this research have found that; the Index of Item Objective Congruence (IOC) value ranged from 0.67 to 1.00; the difficulty values were 0.47 and 0.79 for the CIM and STS methods, respectively, the discriminative validity for the LAT was ranged from 0.20 to 0.75. The reliability of the QTBI was 0.79. Students' responses of their learning achievements with the average means scores indicted of the normalized gain values of 0.79 for the STS group, and 0.50 and 0.36 for the CIM groups, respectively. Students' learning achievements of their post-test indicated that of a higher than pre-test, the pre-test and post-test assessments were also differentiated evidence at the 0.05 levels for the STS and CIM groups, significantly. The 22-students' learning outcomes from the STS group evidences at a high level, only of the 9-students' responses in a moderate level were developed of their learning achievements, responsibility.
Learning multiple relative attributes with humans in the loop.
Qian, Buyue; Wang, Xiang; Cao, Nan; Jiang, Yu-Gang; Davidson, Ian
2014-12-01
Semantic attributes have been recognized as a more spontaneous manner to describe and annotate image content. It is widely accepted that image annotation using semantic attributes is a significant improvement to the traditional binary or multiclass annotation due to its naturally continuous and relative properties. Though useful, existing approaches rely on an abundant supervision and high-quality training data, which limit their applicability. Two standard methods to overcome small amounts of guidance and low-quality training data are transfer and active learning. In the context of relative attributes, this would entail learning multiple relative attributes simultaneously and actively querying a human for additional information. This paper addresses the two main limitations in existing work: 1) it actively adds humans to the learning loop so that minimal additional guidance can be given and 2) it learns multiple relative attributes simultaneously and thereby leverages dependence amongst them. In this paper, we formulate a joint active learning to rank framework with pairwise supervision to achieve these two aims, which also has other benefits such as the ability to be kernelized. The proposed framework optimizes over a set of ranking functions (measuring the strength of the presence of attributes) simultaneously and dependently on each other. The proposed pairwise queries take the form of which one of these two pictures is more natural? These queries can be easily answered by humans. Extensive empirical study on real image data sets shows that our proposed method, compared with several state-of-the-art methods, achieves superior retrieval performance while requires significantly less human inputs.
Enhancing learning in geosciences and water engineering via lab activities
NASA Astrophysics Data System (ADS)
Valyrakis, Manousos; Cheng, Ming
2016-04-01
This study focuses on the utilisation of lab based activities to enhance the learning experience of engineering students studying Water Engineering and Geosciences. In particular, the use of modern highly visual and tangible presentation techniques within an appropriate laboratory based space are used to introduce undergraduate students to advanced engineering concepts. A specific lab activity, namely "Flood-City", is presented as a case study to enhance the active engagement rate, improve the learning experience of the students and better achieve the intended learning objectives of the course within a broad context of the engineering and geosciences curriculum. Such activities, have been used over the last few years from the Water Engineering group @ Glasgow, with success for outreach purposes (e.g. Glasgow Science Festival and demos at the Glasgow Science Centre and Kelvingrove museum). The activity involves a specific setup of the demonstration flume in a sand-box configuration, with elements and activities designed so as to gamely the overall learning activity. Social media platforms can also be used effectively to the same goals, particularly in cases were the students already engage in these online media. To assess the effectiveness of this activity a purpose designed questionnaire is offered to the students. Specifically, the questionnaire covers several aspects that may affect student learning, performance and satisfaction, such as students' motivation, factors to effective learning (also assessed by follow-up quizzes), and methods of communication and assessment. The results, analysed to assess the effectiveness of the learning activity as the students perceive it, offer a promising potential for the use of such activities in outreach and learning.
Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments.
Han, Wenjing; Coutinho, Eduardo; Ruan, Huabin; Li, Haifeng; Schuller, Björn; Yu, Xiaojie; Zhu, Xuan
2016-01-01
Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that do not generalize well. In this paper, we make an efficient combination of confidence-based Active Learning and Self-Training with the aim of minimizing the need for human annotation for sound classification model training. The proposed method pre-processes the instances that are ready for labeling by calculating their classifier confidence scores, and then delivers the candidates with lower scores to human annotators, and those with high scores are automatically labeled by the machine. We demonstrate the feasibility and efficacy of this method in two practical scenarios: pool-based and stream-based processing. Extensive experimental results indicate that our approach requires significantly less labeled instances to reach the same performance in both scenarios compared to Passive Learning, Active Learning and Self-Training. A reduction of 52.2% in human labeled instances is achieved in both of the pool-based and stream-based scenarios on a sound classification task considering 16,930 sound instances.
Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments
Han, Wenjing; Coutinho, Eduardo; Li, Haifeng; Schuller, Björn; Yu, Xiaojie; Zhu, Xuan
2016-01-01
Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that do not generalize well. In this paper, we make an efficient combination of confidence-based Active Learning and Self-Training with the aim of minimizing the need for human annotation for sound classification model training. The proposed method pre-processes the instances that are ready for labeling by calculating their classifier confidence scores, and then delivers the candidates with lower scores to human annotators, and those with high scores are automatically labeled by the machine. We demonstrate the feasibility and efficacy of this method in two practical scenarios: pool-based and stream-based processing. Extensive experimental results indicate that our approach requires significantly less labeled instances to reach the same performance in both scenarios compared to Passive Learning, Active Learning and Self-Training. A reduction of 52.2% in human labeled instances is achieved in both of the pool-based and stream-based scenarios on a sound classification task considering 16,930 sound instances. PMID:27627768
Structural reliability analysis under evidence theory using the active learning kriging model
NASA Astrophysics Data System (ADS)
Yang, Xufeng; Liu, Yongshou; Ma, Panke
2017-11-01
Structural reliability analysis under evidence theory is investigated. It is rigorously proved that a surrogate model providing only correct sign prediction of the performance function can meet the accuracy requirement of evidence-theory-based reliability analysis. Accordingly, a method based on the active learning kriging model which only correctly predicts the sign of the performance function is proposed. Interval Monte Carlo simulation and a modified optimization method based on Karush-Kuhn-Tucker conditions are introduced to make the method more efficient in estimating the bounds of failure probability based on the kriging model. Four examples are investigated to demonstrate the efficiency and accuracy of the proposed method.
Code of Federal Regulations, 2011 CFR
2011-10-01
... adult. An individual 55 years of age or older. (i) Service-learning. A method under which students or participants learn and develop through active participation in thoughtfully organized service that is conducted...-learning is integrated into and enhances the academic curriculum of the students, or the educational...
Identifying Key Features of Effective Active Learning: The Effects of Writing and Peer Discussion
Pangle, Wiline M.; Wyatt, Kevin H.; Powell, Karli N.; Sherwood, Rachel E.
2014-01-01
We investigated some of the key features of effective active learning by comparing the outcomes of three different methods of implementing active-learning exercises in a majors introductory biology course. Students completed activities in one of three treatments: discussion, writing, and discussion + writing. Treatments were rotated weekly between three sections taught by three different instructors in a full factorial design. The data set was analyzed by generalized linear mixed-effect models with three independent variables: student aptitude, treatment, and instructor, and three dependent (assessment) variables: change in score on pre- and postactivity clicker questions, and coding scores on in-class writing and exam essays. All independent variables had significant effects on student performance for at least one of the dependent variables. Students with higher aptitude scored higher on all assessments. Student scores were higher on exam essay questions when the activity was implemented with a writing component compared with peer discussion only. There was a significant effect of instructor, with instructors showing different degrees of effectiveness with active-learning techniques. We suggest that individual writing should be implemented as part of active learning whenever possible and that instructors may need training and practice to become effective with active learning. PMID:25185230
Automated recognition of stratigraphic marker shales from geophysical logs in iron ore deposits
NASA Astrophysics Data System (ADS)
Silversides, Katherine; Melkumyan, Arman; Wyman, Derek; Hatherly, Peter
2015-04-01
The mining of stratiform ore deposits requires a means of determining the location of stratigraphic boundaries. A variety of geophysical logs may provide the required data but, in the case of banded iron formation hosted iron ore deposits in the Hamersley Ranges of Western Australia, only one geophysical log type (natural gamma) is collected for this purpose. The information from these logs is currently processed by slow manual interpretation. In this paper we present an alternative method of automatically identifying recurring stratigraphic markers in natural gamma logs from multiple drill holes. Our approach is demonstrated using natural gamma geophysical logs that contain features corresponding to the presence of stratigraphically important marker shales. The host stratigraphic sequence is highly consistent throughout the Hamersley and the marker shales can therefore be used to identify the stratigraphic location of the banded iron formation (BIF) or BIF hosted ore. The marker shales are identified using Gaussian Processes (GP) trained by either manual or active learning methods and the results are compared to the existing geological interpretation. The manual method involves the user selecting the signatures for improving the library, whereas the active learning method uses the measure of uncertainty provided by the GP to select specific examples for the user to consider for addition. The results demonstrate that both GP methods can identify a feature, but the active learning approach has several benefits over the manual method. These benefits include greater accuracy in the identified signatures, faster library building, and an objective approach for selecting signatures that includes the full range of signatures across a deposit in the library. When using the active learning method, it was found that the current manual interpretation could be replaced in 78.4% of the holes with an accuracy of 95.7%.
Faculty and second-year medical student perceptions of active learning in an integrated curriculum.
Tsang, Alexander; Harris, David M
2016-12-01
Patients expect physicians to be lifelong learners who are able to interpret and evaluate diagnostic tests, and most medical schools list the development of lifelong learning in their program objectives. However, lecture is the most often utilized form of teaching in the first two years and is considered passive learning. The current generation of medical students has many characteristics that should support active learning pedagogies. The purpose of this study was to analyze student and faculty perceptions of active learning in an integrated medical curriculum at the second-year mark, where students have been exposed to multiple educational pedagogies. The first hypothesis of the study was that faculty would favor active learning methods. The second hypothesis was that Millennial medical students would favor active learning due to their characteristics. Primary faculty for years 1 and 2 and second-year medical students were recruited for an e-mail survey consisting of 12 questions about active learning and lecture. Students perceived that lecture and passive pedagogies were more effective for learning, whereas faculty felt active and collaborative learning was more effective. Students believed that more content should be covered by lecture than faculty. There were also significant differences in perceptions of what makes a good teacher. Students and faculty both felt that lack of time in the curriculum and preparation time were barriers for faculty. The data suggest that students are not familiar with the process of learning and that more time may be needed to help students develop lifelong learning skills. Copyright © 2016 The American Physiological Society.
Sariyar, M; Borg, A; Pommerening, K
2012-10-01
Supervised record linkage methods often require a clerical review to gain informative training data. Active learning means to actively prompt the user to label data with special characteristics in order to minimise the review costs. We conducted an empirical evaluation to investigate whether a simple active learning strategy using binary comparison patterns is sufficient or if string metrics together with a more sophisticated algorithm are necessary to achieve high accuracies with a small training set. Based on medical registry data with different numbers of attributes, we used active learning to acquire training sets for classification trees, which were then used to classify the remaining data. Active learning for binary patterns means that every distinct comparison pattern represents a stratum from which one item is sampled. Active learning for patterns consisting of the Levenshtein string metric values uses an iterative process where the most informative and representative examples are added to the training set. In this context, we extended the active learning strategy by Sarawagi and Bhamidipaty (2002). On the original data set, active learning based on binary comparison patterns leads to the best results. When dropping four or six attributes, using string metrics leads to better results. In both cases, not more than 200 manually reviewed training examples are necessary. In record linkage applications where only forename, name and birthday are available as attributes, we suggest the sophisticated active learning strategy based on string metrics in order to achieve highly accurate results. We recommend the simple strategy if more attributes are available, as in our study. In both cases, active learning significantly reduces the amount of manual involvement in training data selection compared to usual record linkage settings. Copyright © 2012 Elsevier Inc. All rights reserved.
Using Active Learning to Teach Concepts and Methods in Quantitative Biology.
Waldrop, Lindsay D; Adolph, Stephen C; Diniz Behn, Cecilia G; Braley, Emily; Drew, Joshua A; Full, Robert J; Gross, Louis J; Jungck, John A; Kohler, Brynja; Prairie, Jennifer C; Shtylla, Blerta; Miller, Laura A
2015-11-01
This article provides a summary of the ideas discussed at the 2015 Annual Meeting of the Society for Integrative and Comparative Biology society-wide symposium on Leading Students and Faculty to Quantitative Biology through Active Learning. It also includes a brief review of the recent advancements in incorporating active learning approaches into quantitative biology classrooms. We begin with an overview of recent literature that shows that active learning can improve students' outcomes in Science, Technology, Engineering and Math Education disciplines. We then discuss how this approach can be particularly useful when teaching topics in quantitative biology. Next, we describe some of the recent initiatives to develop hands-on activities in quantitative biology at both the graduate and the undergraduate levels. Throughout the article we provide resources for educators who wish to integrate active learning and technology into their classrooms. © The Author 2015. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.
Brooks, William S.; Laskar, Simone N.; Benjamin, Miles W.; Chan, Philip
2016-01-01
Objectives This study examines the perceived impact of a novel clinical teaching method based on FAIR principles (feedback, activity, individuality and relevance) on students’ learning on clinical placement. Methods This was a qualitative research study. Participants were third year and final year medical students attached to one UK vascular firm over a four-year period (N=108). Students were asked to write a reflective essay on how FAIRness approach differs from previous clinical placement, and its advantages and disadvantages. Essays were thematically analysed and globally rated (positive, negative or neutral) by two independent researchers. Results Over 90% of essays reported positive experiences of feedback, activity, individuality and relevance model. The model provided multifaceted feedback; active participation; longitudinal improvement; relevance to stage of learning and future goals; structured teaching; professional development; safe learning environment; consultant involvement in teaching. Students perceived preparation for tutorials to be time intensive for tutors/students; a lack of teaching on medical sciences and direct observation of performance; more than once weekly sessions would be beneficial; some issues with peer and public feedback, relevance to upcoming exam and large group sizes. Students described negative experiences of “standard” clinical teaching. Conclusions Progressive teaching programmes based on the FAIRness principles, feedback, activity, individuality and relevance, could be used as a model to improve current undergraduate clinical teaching. PMID:26995588
An active learning curriculum improves fellows' knowledge and faculty teaching skills.
Inra, Jennifer A; Pelletier, Stephen; Kumar, Navin L; Barnes, Edward L; Shields, Helen M
2017-01-01
Traditional didactic lectures are the mainstay of teaching for graduate medical education, although this method may not be the most effective way to transmit information. We created an active learning curriculum for Brigham and Women's Hospital (BWH) gastroenterology fellows to maximize learning. We evaluated whether this new curriculum improved perceived knowledge acquisition and knowledge base. In addition, our study assessed whether coaching faculty members in specific methods to enhance active learning improved their perceived teaching and presentation skills. We compared the Gastroenterology Training Exam (GTE) scores before and after the implementation of this curriculum to assess whether an improved knowledge base was documented. In addition, fellows and faculty members were asked to complete anonymous evaluations regarding their learning and teaching experiences. Fifteen fellows were invited to 12 lectures over a 2-year period. GTE scores improved in the areas of stomach ( p <0.001), general gastroenterology ( p =0.005), esophagus ( p <0.001), and small bowel ( p =0.001), and the total score ( p =0.001) between pre- and postimplementation of the active learning curriculum. Scores in hepatology, as well as biliary and pancreatic study, showed a trend toward improvement ( p >0.05). All fellows believed the lectures were helpful, felt more prepared to take the GTE, and preferred the interactive format to traditional didactic lectures. All lecturers agreed that they acquired new teaching skills, improved teaching and presentation skills, and learned new tools that could help them teach better in the future. An active learning curriculum is preferred by GI fellows and may be helpful for improving transmission of information in any specialty in medical education. Individualized faculty coaching sessions demonstrating new ways to transmit information may be important for an individual faculty member's teaching excellence.
NASA Astrophysics Data System (ADS)
Nurhuda; Lukito, A.; Masriyah
2018-01-01
This study aims to develop instructional tools and implement it to see the effectiveness. The method used in this research referred to Designing Effective Instruction. Experimental research with two-group pretest-posttest design method was conducted. The instructional tools have been developed is cooperative learning model with predict-observe-explain strategy on the topic of cuboid and cube volume which consist of lesson plans, POE tasks, and Tests. Instructional tools were of good quality by criteria of validity, practicality, and effectiveness. These instructional tools was very effective for teaching the volume of cuboid and cube. Cooperative instructional tool with predict-observe-explain (POE) strategy was good of quality because the teacher was easy to implement the steps of learning, students easy to understand the material and students’ learning outcomes completed classically. Learning by using this instructional tool was effective because learning activities were appropriate and students were very active. Students’ learning outcomes were completed classically and better than conventional learning. This study produced a good instructional tool and effectively used in learning. Therefore, these instructional tools can be used as an alternative to teach volume of cuboid and cube topics.
Developing a Psychology Undergraduate Research Community in a New University
ERIC Educational Resources Information Center
Roberts, Patricia; Ertubey, Candan; McMurray, Isabella; Robertson, Ian
2012-01-01
Psychology is a science-based discipline in which research is inextricably embedded in teaching and learning activities. Educators use different methods to help students in their learning of the nature of research and the practical skills required to conduct research, with students playing either a passive or more active role in the learning…
Public Libraries as Places for Empowering Women through Autonomous Learning Activities
ERIC Educational Resources Information Center
Yoshida, Yuko
2013-01-01
Introduction. The purpose of this research is to investigate the significance of public libraries as educational institutions. The meaning of lifelong learning in public libraries from the perspective of women's autonomous activities is re-examined. Method. The literature of the grassroots library movement and that of the empowerment of women is…
Sources of Variation in Consequences of Everyday Activity Settings on Child and Parent Functioning
ERIC Educational Resources Information Center
Trivette, Carol; Dunst, Carl; Hamby, Deborah
2004-01-01
Relationships between acculturation and enculturation, parent beliefs about child learning methods and parenting roles in children's learning, children's participation in family and community activity settings, and a variety of child, parent and family outcomes were examined in a sample of 203 parents. Information received from these parents…
Tlingit Survival Practices and Stories with Activity Folder.
ERIC Educational Resources Information Center
Johnson, Frank
Students learn Tlingit survival practices and lore in this booklet of stories and learning activities. Five readings discuss fire making methods, edible wild foods, weather conditions, and shelter; information is related to the resources of Southeast Alaska and to typical survival situations; e.g., storms at sea and dense fogs. Narratives relate…
Examining Student Perceptions of Flipping an Agricultural Teaching Methods Course
ERIC Educational Resources Information Center
Conner, Nathan W.; Rubenstein, Eric D.; DiBenedetto, Cathy A.; Stripling, Christopher T.; Roberts, T. Grady; Stedman, Nicole L. P.
2014-01-01
To meet the needs of the 21st century student, college instructors have been challenged to transform their classrooms from passive to active, "minds-on" learning environments. This qualitative study examined an active learning approach known as a flipped classroom and sought to explore student perceptions of flipping a teaching methods…
SCALE(ing)-UP Teaching: A Case Study of Student Motivation in an Undergraduate Course
ERIC Educational Resources Information Center
Chittum, Jessica R.; McConnell, Kathryne Drezek; Sible, Jill
2017-01-01
Teaching large classes is increasingly common; thus, demand for effective large-class pedagogy is rising. One method, titled "SCALE-UP" (Student-Centered Active Learning Environment for Undergraduate Programs), is intended for large classes and involves collaborative, active learning in a technology-rich and student-centered environment.…
ERIC Educational Resources Information Center
Hussein, Bassam A.
2015-01-01
The paper demonstrates and evaluates the effectiveness of a blended learning approach to create a meaningful learning environment. We use the term blended learning approach in this paper to refer to the use of multiple or hybrid instructional methods that emphasize the role of learners as contributors to the learning process rather than recipients…
ERIC Educational Resources Information Center
Santicola, Craig F.
2015-01-01
The literature indicates that there is a lack of learning outcomes in economics that can be attributed to the reliance on traditional lecture and the failure to adopt innovative instructional techniques. This study sought to investigate the student learning effects of academic controversy, a cooperative learning technique that shows promise in the…
Cooperative Learning Instructional Methods for CS1: Design, Implementation, and Evaluation
ERIC Educational Resources Information Center
Beck, Leland; Chizhik, Alexander
2013-01-01
Cooperative learning is a well-known instructional technique that has been applied with a wide variety of subject matter and a broad spectrum of populations. This article briefly reviews the principles of cooperative learning, and describes how these principles were incorporated into a comprehensive set of cooperative learning activities for a CS1…
The impact of rigorous mathematical thinking as learning method toward geometry understanding
NASA Astrophysics Data System (ADS)
Nugraheni, Z.; Budiyono, B.; Slamet, I.
2018-05-01
To reach higher order thinking skill, needed to be mastered the conceptual understanding. RMT is a unique realization of the cognitive conceptual construction approach based on Mediated Learning Experience (MLE) theory by Feurstein and Vygotsky’s sociocultural theory. This was quasi experimental research which was comparing the experimental class that was given Rigorous Mathematical Thinking (RMT) as learning method and control class that was given Direct Learning (DL) as the conventional learning activity. This study examined whether there was different effect of two learning method toward conceptual understanding of Junior High School students. The data was analyzed by using Independent t-test and obtained a significant difference of mean value between experimental and control class on geometry conceptual understanding. Further, by semi-structure interview known that students taught by RMT had deeper conceptual understanding than students who were taught by conventional way. By these result known that Rigorous Mathematical Thinking (RMT) as learning method have positive impact toward Geometry conceptual understanding.
Newly qualified teachers' visions of science learning and teaching
NASA Astrophysics Data System (ADS)
Roberts, Deborah L.
2011-12-01
This study investigated newly qualified teachers' visions of science learning and teaching. The study also documented their preparation in an elementary science methods course. The research questions were: What educational and professional experiences influenced the instructor's visions of science learning and teaching? What visions of science learning and teaching were promoted in the participants' science methods course? What visions of science learning and teaching did these newly qualified teachers bring with them as they graduated from their teacher preparation program? How did these visions compare with those advocated by reform documents? Data sources included participants' assignments, weekly reflections, and multi-media portfolio finals. Semi-structured interviews provided the emic voice of participants, after graduation but before they had begun to teach. These data were interpreted via a combination of qualitative methodologies. Vignettes described class activities. Assertions supported by excerpts from participants' writings emerged from repeated review of their assignments. A case study of a typical participant characterized weekly reflections and final multi-media portfolio. Four strands of science proficiency articulated in a national reform document provided a framework for interpreting activities, assignments, and interview responses. Prior experiences that influenced design of the methods course included an inquiry-based undergraduate physics course, participation in a reform-based teacher preparation program, undergraduate and graduate inquiry-based science teaching methods courses, participation in a teacher research group, continued connection to the university as a beginning teacher, teaching in diverse Title 1 schools, service as the county and state elementary science specialist, participation in the Carnegie Academy for the Scholarship of Teaching and Learning, service on a National Research Council committee, and experience teaching a science methods course. The methods course studied here emphasized reform-based practices, science as inquiry, culturally responsive teaching, scientific discourse, and integration of science with technology and other disciplines. Participants' writings and interview responses articulated visions of science learning and teaching that included aspects of reform-based practices. Some participants intentionally incorporated and implemented reform-based strategies in field placements during the methods course and student teaching. The strands of scientific proficiency were evident in activities, assignments and participants' interviews in varying degrees.
Kate, Rohit J.; Swartz, Ann M.; Welch, Whitney A.; Strath, Scott J.
2016-01-01
Wearable accelerometers can be used to objectively assess physical activity. However, the accuracy of this assessment depends on the underlying method used to process the time series data obtained from accelerometers. Several methods have been proposed that use this data to identify the type of physical activity and estimate its energy cost. Most of the newer methods employ some machine learning technique along with suitable features to represent the time series data. This paper experimentally compares several of these techniques and features on a large dataset of 146 subjects doing eight different physical activities wearing an accelerometer on the hip. Besides features based on statistics, distance based features and simple discrete features straight from the time series were also evaluated. On the physical activity type identification task, the results show that using more features significantly improve results. Choice of machine learning technique was also found to be important. However, on the energy cost estimation task, choice of features and machine learning technique were found to be less influential. On that task, separate energy cost estimation models trained specifically for each type of physical activity were found to be more accurate than a single model trained for all types of physical activities. PMID:26862679
Service-Learning: A Language of "We"
ERIC Educational Resources Information Center
Taylor, Pamela G.; Ballengee-Morris, Christine
2004-01-01
This article focuses on service-learning, a method whereby students learn and develop through active participation in thoughtfully organized service that is conducted in and meets the needs of communities. It is coordinated with an elementary school, secondary school, institution of higher education, or community service program and the…
Experiential Education: Enhancing the Liberal Arts Curriculum
ERIC Educational Resources Information Center
Graff, Elissa R.
2013-01-01
This mixed-methods study combined a survey instrument, the Learning Style Inventory (LSI), with a selected group of follow-up interviews for the purpose of determining how experiential practices affected student engagement and learning. Quantitative data analysis established students' preferences for more active involvement in learning practices…
Sawatsky, Adam P.; Zickmund, Susan L.; Berlacher, Kathryn; Lesky, Dan; Granieri, Rosanne
2015-01-01
Background In the Next Accreditation System, the Accreditation Council for Graduate Medical Education outlines milestones for medical knowledge and requires regular didactic sessions in residency training. There are many challenges to facilitating active learning in resident conferences, and we need to better understand resident learning preferences and faculty perspectives on facilitating active learning. The goal of this study was to identify challenges to facilitating active learning in resident conferences, both through identifying specific implementation barriers and identifying differences in perspective between faculty and residents on effective teaching and learning strategies. Methods The investigators invited core residency faculty to participate in focus groups. The investigators used a semistructured guide to facilitate discussion about learning preferences and teaching perspectives in the conference setting and used an ‘editing approach’ within a grounded theory framework to qualitative analysis to code the transcripts and analyze the results. Data were compared to previously collected data from seven resident focus groups. Results Three focus groups with 20 core faculty were conducted. We identified three domains pertaining to facilitating active learning in resident conferences: barriers to facilitating active learning formats, similarities and differences in faculty and resident learning preferences, and divergence between faculty and resident opinions about effective teaching strategies. Faculty identified several setting, faculty, and resident barriers to facilitating active learning in resident conferences. When compared to residents, faculty expressed similar learning preferences; the main differences were in motivations for conference attendance and type of content. Resident preferences and faculty perspectives differed on the amount of information appropriate for lecture and the role of active participation in resident conferences. Conclusion This study highlights several challenges to facilitating active learning in resident conferences and provides insights for residency faculty who seek to transform the conference learning environment within their residency program. PMID:26160805
Sawatsky, Adam P; Zickmund, Susan L; Berlacher, Kathryn; Lesky, Dan; Granieri, Rosanne
2015-01-01
Background In the Next Accreditation System, the Accreditation Council for Graduate Medical Education outlines milestones for medical knowledge and requires regular didactic sessions in residency training. There are many challenges to facilitating active learning in resident conferences, and we need to better understand resident learning preferences and faculty perspectives on facilitating active learning. The goal of this study was to identify challenges to facilitating active learning in resident conferences, both through identifying specific implementation barriers and identifying differences in perspective between faculty and residents on effective teaching and learning strategies. Methods The investigators invited core residency faculty to participate in focus groups. The investigators used a semistructured guide to facilitate discussion about learning preferences and teaching perspectives in the conference setting and used an 'editing approach' within a grounded theory framework to qualitative analysis to code the transcripts and analyze the results. Data were compared to previously collected data from seven resident focus groups. Results Three focus groups with 20 core faculty were conducted. We identified three domains pertaining to facilitating active learning in resident conferences: barriers to facilitating active learning formats, similarities and differences in faculty and resident learning preferences, and divergence between faculty and resident opinions about effective teaching strategies. Faculty identified several setting, faculty, and resident barriers to facilitating active learning in resident conferences. When compared to residents, faculty expressed similar learning preferences; the main differences were in motivations for conference attendance and type of content. Resident preferences and faculty perspectives differed on the amount of information appropriate for lecture and the role of active participation in resident conferences. Conclusion This study highlights several challenges to facilitating active learning in resident conferences and provides insights for residency faculty who seek to transform the conference learning environment within their residency program.
Low fidelity model making activity by students: A novel way of learning concepts of neuroanatomy.
Dixit, Shilpi Gupta; Potaliya, Pushpa; Nayeemudin, S M; Ghatak, Surajit
2018-06-01
Teaching and learning anatomy has always been an integral part of medical education. Teaching neuroanatomy has always faced innate and contextual challenges therefore various innovative teaching-learning methods have been devised on the idea of engaging learners in meaningful learning activities through apt guidance, communication among peers and cluster activities. The present study aims at such an innovative method. The study was conducted in practical sessions of first year MBBS at the Institute during second semester. Neuroanatomy topic selected for present study was 'Neural Pathways/tracts'. Participants were divided into 8 groups and each was allotted a specific activity related to a particular cross-sectional level and allowed to build with the material provided by the department. Student feedback was taken through a structured questionnaire. 81 and 82.4% of students stated that the activity was clearly explained and should be offered more frequently in curriculum. The activity also developed a positive attitude and good coordination amongst peers with increase in communication skills (89.1%, 91.8%, 89% respectively). 87.8% of students agreed that small group learning is better than didactic lectures in neuroanatomy. In current medical scenario with reduced anatomy teaching hours and a continuous pressure on undergraduates, a low-cost learning intervention formulated to deliver a complex 3-D model of tracts passing through various parts of nervous system by simple materials would show better access and understanding of the tracts with improvement of 3D visualization skills. Copyright © 2018 Elsevier Ltd. All rights reserved.
Cooper, Katelyn M; Ashley, Michael; Brownell, Sara E
2017-01-01
National calls to improve student academic success in college have sparked the development of bridge programs designed to help students transition from high school to college. We designed a 2-week Summer Bridge program that taught introductory biology content in an active-learning way. Through a set of exploratory interviews, we unexpectedly identified that Bridge students had developed sophisticated views of active learning, even though this was not an explicit goal of the program. We conducted an additional set of semistructured interviews that focused on active learning and compared the interviews of Bridge students with those from non-Bridge students who had been eligible for but did not participate in the program. We used the constant comparative method to identify themes from the interviews. We found that Bridge students perceived that, because they knew how to approach active learning and viewed it as important, they benefited more from active learning in introductory biology than non-Bridge students. Specifically, Bridge students seemed to be more aware of their own learning gains from participating in active learning. Compared with the majority of non-Bridge students, the majority of Bridge students described using a greater variety of strategies to maximize their experiences in active learning. Finally, in contrast to non-Bridge students, Bridge students indicated that they take an equitable approach to group work. These findings suggest that we may be able to prime students to maximize their own and other's experiences in active learning. © 2017 K. M. Cooper et al. CBE—Life Sciences Education © 2017 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).
Teaching to Think: Applying the Socratic Method outside the Law School Setting
ERIC Educational Resources Information Center
Peterson, Evan
2009-01-01
An active learning process has the potential to provide educational benefits above-and-beyond what they might receive from more traditional, passive approaches. The Socratic Method is a unique approach to passive learning that facilitates critical thinking, open-mindedness, and teamwork. By imposing a series of guided questions to students, an…
Academic Service-Learning in the HRD Curriculum
ERIC Educational Resources Information Center
Turnbull, Ovilla; Madsen, Susan R.
2004-01-01
Service-learning is a relatively new pedagogy which uses service activities to support traditional teaching methods, giving students a better understanding and ability to remember and carry out functions/skills taught in class. Although its use in an HRD course has rarely been reported in the literature, the teaching methods appear to be ideal for…
ERIC Educational Resources Information Center
Tural, Güner; Tarakçi, Demet
2017-01-01
Background: One of the topics students have difficulties in understanding is electromagnetic induction. Active learning methods instead of traditional learning method may be able to help facilitate students' understanding such topics more effectively. Purpose: The study investigated the effectiveness of physical models and simulations on students'…
Exploring the Instructional Value and Worth of a MOOC
ERIC Educational Resources Information Center
MacDonald, Patrick; Ahern, Terence C.
2015-01-01
Technology offers new and innovative ways to deliver learning such as the Massive Open Online Courses (MOOCs). The MOOC offers institutes of higher education a potential delivery method for delivering online learning. This study utilized a qualitative method to gather and analyze an active observer's experience within a MOOC. The results aligned…
Teachers’ perceptions of aspects affecting seminar learning: a qualitative study
2013-01-01
Background Many medical schools have embraced small group learning methods in their undergraduate curricula. Given increasing financial constraints on universities, active learning groups like seminars (with 25 students a group) are gaining popularity. To enhance the understanding of seminar learning and to determine how seminar learning can be optimised it is important to investigate stakeholders’ views. In this study, we qualitatively explored the views of teachers on aspects affecting seminar learning. Methods Twenty-four teachers with experience in facilitating seminars in a three-year bachelor curriculum participated in semi-structured focus group interviews. Three focus groups met twice with an interval of two weeks led by one moderator. Sessions were audio taped, transcribed verbatim and independently coded by two researchers using thematic analysis. An iterative process of data reduction resulted in emerging aspects that influence seminar learning. Results Teachers identified seven key aspects affecting seminar learning: the seminar teacher, students, preparation, group functioning, seminar goals and content, course coherence and schedule and facilities. Important components of these aspects were: the teachers’ role in developing seminars (‘ownership’), the amount and quality of preparation materials, a non-threatening learning climate, continuity of group composition, suitability of subjects for seminar teaching, the number and quality of seminar questions, and alignment of different course activities. Conclusions The results of this study contribute to the unravelling of the ‘the black box’ of seminar learning. Suggestions for ways to optimise active learning in seminars are made regarding curriculum development, seminar content, quality assurance and faculty development. PMID:23399475
ERIC Educational Resources Information Center
Brock, Richard; Taber, Keith S.
2017-01-01
This paper examines the role of the microgenetic method in science education. The microgenetic method is a technique for exploring the progression of learning in detail through repeated, high-frequency observations of a learner's "performance" in some activity. Existing microgenetic studies in science education are analysed. This leads…
Development of active learning modules in pharmacology for small group teaching.
Tripathi, Raakhi K; Sarkate, Pankaj V; Jalgaonkar, Sharmila V; Rege, Nirmala N
2015-01-01
Current teaching in pharmacology in undergraduate medical curriculum in India is primarily drug centered and stresses imparting factual knowledge rather than on pharmacotherapeutic skills. These skills would be better developed through active learning by the students. Hence modules that will encourage active learning were developed and compared with traditional methods within the Seth GS Medical College, Mumbai. After Institutional Review Board approval, 90 second year undergraduate medical students who consented were randomized into six sub-groups, each with 15 students. Pre-test was administered. The three sub-groups were taught a topic using active learning modules (active learning groups), which included problems on case scenarios, critical appraisal of prescriptions and drug identification. The remaining three sub-groups were taught the same topic in a conventional tutorial mode (tutorial learning groups). There was crossover for the second topic. Performance was assessed using post-test. Questionnaires with Likert-scaled items were used to assess feedback on teaching technique, student interaction and group dynamics. The active and tutorial learning groups differed significantly in their post-test scores (11.3 ± 1.9 and 15.9 ± 2.7, respectively, P < 0.05). In students' feedback, 69/90 students had perceived the active learning session as interactive (vs. 37/90 students in tutorial group) and enhanced their understanding vs. 56/90 in tutorial group), aroused intellectual curiosity (47/90 students of active learning group vs. 30/90 in tutorial group) and provoked self-learning (41/90 active learning group vs. 14/90 in tutorial group). Sixty-four students in the active learning group felt that questioning each other helped in understanding the topic, which was the experience of 25/90 students in tutorial group. Nevertheless, students (55/90) preferred tutorial mode of learning to help them score better in their examinations. In this study, students preferred an active learning environment, though to pass examinations, they preferred the tutorial mode of teaching. Further efforts are required to explore the effects on learning of introducing similar modules for other topics.
NASA Astrophysics Data System (ADS)
Killen, Catherine P.
2015-09-01
This paper outlines a novel approach to engineering education research that provides three dimensions of learning through an experiential class activity. A simulated decision activity brought current research into the classroom, explored the effect of experiential activity on learning outcomes and contributed to the research on innovation decision making. The 'decision task' was undertaken by more than 480 engineering students. It increased their reported measures of learning and retention by an average of 0.66 on a five-point Likert scale, and revealed positive correlations between attention, enjoyment, ongoing interest and learning and retention. The study also contributed to innovation management research by revealing the influence of different data visualisation methods on decision quality, providing an example of research-integrated education that forms part of the research process. Such a dovetailing of different research studies demonstrates how engineering educators can enhance educational impact while multiplying the outcomes from their research efforts.
Renewed roles for librarians in problem-based learning in the medical curriculum.
Mi, Misa
2011-01-01
Problem-based learning (PBL) is a teaching-learning process or method of instruction that is widely used in medical education curricula. Librarians play important roles as facilitators for PBL as well as guides for information resources. Involvement in PBL activities presents unique opportunities to incorporate library resources and instruction into the medical curriculum. This article reviews the problem-based learning method within the conceptual framework of the learning theory of constructivism. It describes how a medical librarian at a U.S. medical school used emerging technologies to facilitate PBL small group case discussions, guide students to quality information resources, and enhance the learning environment for the PBL process.
NASA Astrophysics Data System (ADS)
Madsen, J.; Fifield, S.; Allen, D.; Brickhouse, N.; Dagher, Z.; Ford, D.; Shipman, H.
2001-05-01
In this NSF-funded project we will adapt problem-based learning (PBL) and other inquiry-based approaches to create an integrated science and education methods curriculum ("science semester") for elementary teacher education majors. Our goal is to foster integrated understandings of science and pedagogy that future elementary teachers need to effectively use inquiry-based approaches in their classrooms. This project responds to calls to improve science education for all students by making preservice teachers' experiences in undergraduate science courses more consistent with reforms at the K-12 level. The involved faculty teach three science courses (biology, earth science, physical science) and an elementary science education methods course that are degree requirements for elementary teacher education majors. Presently, students take the courses in variable sequences and at widely scattered times. Too many students fail to appreciate the value of science courses to their future careers as teachers, and when they reach the methods course in the junior year they often retain little of the science content studied earlier. These episodic encounters with science make it difficult for students to learn the content, and to translate their understandings of science into effective, inquiry-based teaching strategies. To encourage integrated understandings of science concepts and pedagogy we will coordinate the science and methods courses in a junior-year science semester. Traditional subject matter boundaries will be crossed to stress shared themes that teachers must understand to teach standards-based elementary science. We will adapt exemplary approaches that support both learning science and learning how to teach science. Students will work collaboratively on multidisciplinary PBL activities that place science concepts in authentic contexts and build learning skills. "Lecture" meetings will be large group active learning sessions that help students understand difficult concepts, make connections between class activities, and launch and wrap-up PBL problems. Labs will include activities from elementary science kits as launching points for in-depth investigations that demonstrate the continuity of science concepts and pedagogies across age levels. In the methods course, students will critically explore the theory and practice of elementary science teaching, drawing on their shared experiences of inquiry learning in the science courses. Field placements in elementary classrooms will allow students to ground their studies of science and pedagogy in actual practice.
A review of teaching-learning strategies to be used with film for prelicensure students.
Oh, Jina; De Gagné, Jennie Chang; Kang, Jeongae
2013-03-01
The use of film in nursing and medical education has been supported as an effective instructional method. The purpose of this article is to identify and synthesize the available studies on teaching-learning strategies to be used with film for prelicensure students. Electronic databases were searched to identify studies published in the English language between January 1990 and March 2012. Twenty-seven articles met the selection criteria for this review and were analyzed. After in-depth discussion about and investigation of the relevant literature, we narrowed down three teaching-learning strategies: reflective activities, practical activities, and evaluative activities. The synthesis of the identified teaching-learning strategies provides a data point for the development of more effective evidence-based learning activities for prelicensure students. Future studies should focus on the examination of teaching effectiveness and learning outcomes, as well as the evaluation of using film, to achieve nursing competencies appropriate to role preparation. Copyright 2013, SLACK Incorporated.
Learning style and teaching method preferences of Saudi students of physical therapy
Al Maghraby, Mohamed A.; Alshami, Ali M.
2013-01-01
Context: To the researchers’ knowledge, there are no published studies that have investigated the learning styles and preferred teaching methods of physical therapy students in Saudi Arabia. Aim: The study was conducted to determine the learning styles and preferred teaching methods of Saudi physical therapy students. Settings and Design: A cross-sectional study design. Materials and Methods: Fifty-three Saudis studying physical therapy (21 males and 32 females) participated in the study. The principal researcher gave an introductory lecture to explain the different learning styles and common teaching methods. Upon completion of the lecture, questionnaires were distributed, and were collected on completion. Statistical Analysis Used: Percentages were calculated for the learning styles and teaching methods. Pearson’s correlations were performed to investigate the relationship between them. Results: More than 45 (85%) of the students rated hands-on training as the most preferred teaching method. Approximately 30 (57%) students rated the following teaching methods as the most preferred methods: “Advanced organizers,” “demonstrations,” and “multimedia activities.” Although 31 (59%) students rated the concrete-sequential learning style the most preferred, these students demonstrated mixed styles on the other style dimensions: Abstract-sequential, abstract-random, and concrete-random. Conclusions: The predominant concrete-sequential learning style is consistent with the most preferred teaching method (hands-on training). The high percentage of physical therapy students whose responses were indicative of mixed learning styles suggests that they can accommodate multiple teaching methods. It is recommended that educators consider the diverse learning styles of the students and utilize a variety of teaching methods in order to promote an optimal learning environment for the students. PMID:24672278
Frank Gilbreth and health care delivery method study driven learning.
Towill, Denis R
2009-01-01
The purpose of this article is to look at method study, as devised by the Gilbreths at the beginning of the twentieth century, which found early application in hospital quality assurance and surgical "best practice". It has since become a core activity in all modern methods, as applied to healthcare delivery improvement programmes. The article traces the origin of what is now currently and variously called "business process re-engineering", "business process improvement" and "lean healthcare" etc., by different management gurus back to the century-old pioneering work of Frank Gilbreth. The outcome is a consistent framework involving "width", "length" and "depth" dimensions within which healthcare delivery systems can be analysed, designed and successfully implemented to achieve better and more consistent performance. Healthcare method (saving time plus saving motion) study is best practised as co-joint action learning activity "owned" by all "players" involved in the re-engineering process. However, although process mapping is a key step forward, in itself it is no guarantee of effective re-engineering. It is not even the beginning of the end of the change challenge, although it should be the end of the beginning. What is needed is innovative exploitation of method study within a healthcare organisational learning culture accelerated via the Gilbreth Knowledge Flywheel. It is shown that effective healthcare delivery pipeline improvement is anchored into a team approach involving all "players" in the system especially physicians. A comprehensive process study, constructive dialogue, proper and highly professional re-engineering plus managed implementation are essential components. Experience suggests "learning" is thereby achieved via "natural groups" actively involved in healthcare processes. The article provides a proven method for exploiting Gilbreths' outputs and their many successors in enabling more productive evidence-based healthcare delivery as summarised in the "learn-do-learn-do" feedback loop in the Gilbreth Knowledge Flywheel.
ERIC Educational Resources Information Center
Lindquist, Tim M.
1995-01-01
In groups, 49 accounting students completed a 5-week analysis of audit reporting issues using cooperative learning. Positive student reactions and achievement suggested that contemporary active learning approaches are compatible with the traditional accounting goal of preparing for the Certified Public Accountants examination. (SK)
Lessons from Management 101: Learning to Manage Ourselves
ERIC Educational Resources Information Center
Miller, John A.
2017-01-01
The Management 101 Project continues to shape our understanding of what's essential to an introductory general education course in management. Our ongoing challenge is to integrate responsibilities to people (Who needs to learn? Everybody.), to best practices (How can we best learn? Active, experiential methods.), and to the contents of our…
CD-ROM Integration Peaks Student Interest in Inquiry.
ERIC Educational Resources Information Center
O'Bannon, Blanche
1997-01-01
Discussion of learning processes examines past educational practices and considers how CD-ROM technology can impact teaching and learning. A lesson plan for elementary school science that uses a CD-ROM encyclopedia is presented that includes instructional goals, performance objectives, teaching and learning activities, and assessment methods.…
Progression of Cohort Learning Style during an Intensive Education Program
ERIC Educational Resources Information Center
Compton, David A.; Compton, Cynthia M.
2017-01-01
The authors describe an intensive graduate program involving compressed classroom preparation followed by a period of experiential activities designed to reinforce and enhance the knowledge base. Beginning with a brief review of the andragogical issues, they describe methods undertaken to track learning styles via the Kolb Learning Styles…
Learning by Doing: Using an Online Simulation Game in an International Relations Course
ERIC Educational Resources Information Center
Epley, Jennifer
2016-01-01
Integrating interactive learning activities into undergraduate courses is one method for increasing student interest, engagement, and skills development. Online simulation games in particular offer students the unique applied opportunity to "learn by doing" in a virtual space to further their overall knowledge base and critical thinking…
Service Learning: An Auditing Project Study
ERIC Educational Resources Information Center
Laing, Gregory Kenneth
2013-01-01
There is a growing demand in higher education for universities to introduce teaching methods that achieve the learning outcomes of vocational education. The need for vocational educational outcomes was met in this study involving a service learning activity designed to provide basic professional auditing competencies. The details of the design and…
Differences That Make a Difference: A Study in Collaborative Learning
ERIC Educational Resources Information Center
Touchman, Stephanie
2012-01-01
Collaborative learning is a common teaching strategy in classrooms across age groups and content areas. It is important to measure and understand the cognitive process involved during collaboration to improve teaching methods involving interactive activities. This research attempted to answer the question: why do students learn more in…
Peer Feedback to Facilitate Project-Based Learning in an Online Environment
ERIC Educational Resources Information Center
Ching, Yu-Hui; Hsu, Yu-Chang
2013-01-01
There has been limited research examining the pedagogical benefits of peer feedback for facilitating project-based learning in an online environment. Using a mixed method approach, this paper examines graduate students' participation and perceptions of peer feedback activity that supports project-based learning in an online instructional design…
Examining Portfolio-Based Assessment in an Upper-Level Biology Course
ERIC Educational Resources Information Center
Ziegler, Brittany Ann
2012-01-01
Historically, students have been viewed as empty vessels and passive participants in the learning process but students actually are active forming their own conceptions. One way student learning is impacted is through assessment. Alternative assessment, which contrasts traditional assessment methods, takes into account how students learn by…
Body painting to promote self-active learning of hand anatomy for preclinical medical students.
Jariyapong, Pitchanee; Punsawad, Chuchard; Bunratsami, Suchirat; Kongthong, Paranyu
2016-01-01
The purpose of this study was to use the body painting method to teach hand anatomy to a group of preclinical medical students. Students reviewed hand anatomy using the traditional method and body painting exercise. Feedback and retention of the anatomy-related information were examined by a questionnaire and multiple-choice questions, respectively, immediately and 1 month after the painting exercise. Students agreed that the exercise was advantageous and helped facilitate self-active learning after in-class anatomy lessons. While there was no significant difference in knowledge retention between the control and experimental groups, the students appreciated the exercise in which they applied body paint to the human body to learn anatomy. The body painting was an efficient tool for aiding the interactive learning of medical students and increasing the understanding of gross anatomy.
Aiguier, Gregory; Oboeuf, Alexandre; Cobbaut, Jean-Philippe; Vanpee, Dominique
2015-01-01
Integration of interprofessional collaboration into healthcare education and training programmes has become a fundamental issue. Its objective is to learn how to collectively build collaborative care practice that addresses the uniqueness of each context and the specific situation of the patient. It is also about understanding the process of collectively building collaborative care practice in order to be able to apply it in different contexts. This article describes a study that aimed to examine the value of relying on activity confrontation methods to develop training. These methods consist of filming practitioners during an activity and encouraging them to analyse it. It was found that these methods encourage reflexive analysis of the motives for pursuing interprofessional action (identifying constitutive factors) but also a metacognitive approach on the conditions of learning (p < 0.01). In addition to the educational dimensions (methods and leadership positions) and organisational dimensions (frameworks), it was found that the patient's role is essential in developing interprofessional care practice and training (p < 0.01). Given the nature of these findings, this article goes on to suggest that the patient must be considered a "partner" in development and delivery of interprofessional learning and care.
Robinson, Lianne; Riedel, Gernot
2014-08-30
Different automated systems have been developed to facilitate long-term and continuous assessment of behaviours including locomotor activity, feeding behaviour and circadian activity. This study assessed the effectiveness of three different observation systems as methods for determining strain and pharmacological induced differences in locomotor activity, feeding behaviour and spatial learning. The effect of the CB1 antagonist AM251 on feeding behaviour was determined in the PhenoMaster and PhenoTyper. Next, effects of cholinergic (scopolamine) and glutamatergic (Phenylcyclidine, PCP) receptor antagonism and dopaminergic agonism (apomorphine) on activity were assessed in the PhenoTyper and IntelliCage. Finally, the IntelliCage was utilised to determine differences in activity and spatial learning of C57BL/6 and DBA/2 mouse strains following pharmacological intervention. AM251 induced a suppression of food intake, feeding behaviour and a reduction in body weight in both the PhenoTyper and PhenoMaster. Apomorphine reduced activity in both the PhenoTyper and IntelliCage. Whereas, decreased activity was evident with PCP in the PhenoTyper, but not IntelliCage and Scopolamine induced a trend towards elevated levels of activity in the IntelliCage but not PhenoTyper. Strain differences in activity and spatial learning were also evident, with increased corner visits and drug induced impairments only observed with C57BL/6 mice. The automated home cage observation systems determined similar drug and strain effects on behaviour to those observed using traditional methods. All three observation systems reported drug-induced changes in behaviour however, they differ in their application of spatial learning tasks and utilisation of single versus group housed recordings. Copyright © 2014 Elsevier B.V. All rights reserved.
ERIC Educational Resources Information Center
Grey, Simon; Grey, David; Gordon, Neil; Purdy, Jon
2017-01-01
This paper offers an approach to designing game-based learning experiences inspired by the Mechanics-Dynamics-Aesthetics (MDA) model (Hunicke et al., 2004) and the elemental tetrad model (Schell, 2008) for game design. A case for game based learning as an active and social learning experience is presented including arguments from both teachers and…
MODeLeR: A Virtual Constructivist Learning Environment and Methodology for Object-Oriented Design
ERIC Educational Resources Information Center
Coffey, John W.; Koonce, Robert
2008-01-01
This article contains a description of the organization and method of use of an active learning environment named MODeLeR, (Multimedia Object Design Learning Resource), a tool designed to facilitate the learning of concepts pertaining to object modeling with the Unified Modeling Language (UML). MODeLeR was created to provide an authentic,…
Lucas, Kristy H; Testman, Julie A; Hoyland, Marcella N; Kimble, Angel M; Euler, Mary L
2013-10-14
To implement an active-learning approach in a pharmacotherapy course sequence in the second year (P2) and third (P3) year of a doctor of pharmacy (PharmD) program and determine whether the pedagogical changes correlated with retention of core content in the fourth year (P4). Class sessions were transitioned from slides-based lectures to discussion-based active-learning pedagogy. A comprehensive examination was created and administered to assess student retention of therapeutic topics taught. Students demonstrated significantly improved overall scores on questions derived from the active-learning pedagogy used in Pharmacotherapy II and III compared to those derived from Pharmacotherapy I in which content was delivered by lecture. The use of active-learning strategies over lecture-based methods in pharmacotherapy courses resulted in higher retention of core content. Students' performance in areas taught using the discussion-based methodology was superior to that which was taught using lecture-based slide presentations.
Testman, Julie A.; Hoyland, Marcella N.; Kimble, Angel M.; Euler, Mary L.
2013-01-01
Objective. To implement an active-learning approach in a pharmacotherapy course sequence in the second year (P2) and third (P3) year of a doctor of pharmacy (PharmD) program and determine whether the pedagogical changes correlated with retention of core content in the fourth year (P4). Design. Class sessions were transitioned from slides-based lectures to discussion-based active-learning pedagogy. Assessment. A comprehensive examination was created and administered to assess student retention of therapeutic topics taught. Students demonstrated significantly improved overall scores on questions derived from the active-learning pedagogy used in Pharmacotherapy II and III compared to those derived from Pharmacotherapy I in which content was delivered by lecture. Conclusion. The use of active-learning strategies over lecture-based methods in pharmacotherapy courses resulted in higher retention of core content. Students’ performance in areas taught using the discussion-based methodology was superior to that which was taught using lecture-based slide presentations. PMID:24159212
ERIC Educational Resources Information Center
Guy, Batsheva R.
2017-01-01
This qualitative study explores the attitudes that STEM (Science, Technology, Engineering, and Mathematics) faculty have about active learning (AL), the barriers that STEM faculty face when implementing AL, and what would encourage STEM faculty to use AL. Data was gathered using a modified Group-Level Assessment (GLA), a participatory method meant…
Strategies for Adapting WebQuests for Students with Learning Disabilities
ERIC Educational Resources Information Center
Skylar, Ashley A.; Higgins, Kyle; Boone, Randall
2007-01-01
WebQuests are gaining popularity as teachers explore using the Internet for guided learning activities. A WebQuest involves students working on a task that is broken down into clearly defined steps. Students often work in groups to actively conduct the research. This article suggests a variety of methods for adapting WebQuests for students with…
Teaching Law and Theory through Context: Contract Clauses in Legal Studies Education
ERIC Educational Resources Information Center
DiMatteo, Larry A.; Anenson, T. Leigh
2007-01-01
Business professors in the twenty-first century have been engaging in another form of problem-based pedagogy to unite business school and business practice. This teaching methodology, called "active learning," has become the new case method in college courses. Like the case-based approach, active learning bridges the gap between theory and…
ERIC Educational Resources Information Center
Cotes, Sandra; Cotuá, José
2014-01-01
This article describes a method of instruction using an active learning strategy for teaching stoichiometry through a process of gradual knowledge building. Students identify their misconceptions and progress through a sequence of questions based on the same chemical equation. An infrared device and software registered as the TurningPoint Audience…
A Learning Cycle Approach to Dealing with Pseudoscience Beliefs of Prospective Elementary Teachers.
ERIC Educational Resources Information Center
Rosenthal, Dorothy B.
1993-01-01
Describes a lesson on pseudoscience for a teaching methods course that promotes active student participation, is not a laboratory activity, and follows the sequence of the three phases associated with the learning cycle model. Contains a true-false science questionnaire to be administered to students as a bridge to discussion. (PR)
A Data Warehouse Model for Micro-Level Decision Making in Higher Education
ERIC Educational Resources Information Center
van Dyk, Liezl
2008-01-01
An abundance of research, by educational researchers and scholars of teaching and learning alike, can be found on the use of ICT to plan design and deliver learning activities and assessment activities. The first steps of the instructional design process are covered quite thoroughly by this. However, the use of ICT and quantitative methods to…
Team-Based Learning in Pharmacy Education
Ofstad, William
2013-01-01
Instructors wanting to engage students in the classroom seek methods to augment the delivery of factual information and help students move from being passive recipients to active participants in their own learning. One such method that has gained interest is team-based learning. This method encourages students to be prepared before class and has students work in teams while in the classroom. Key benefits to this pedagogy are student engagement, improved communication skills, and enhanced critical-thinking abilities. In most cases, student satisfaction and academic performance are also noted. This paper reviews the fundamentals of team-based learning in pharmacy education and its implementation in the classroom. Literature reports from medical, nursing, and pharmacy programs are also discussed. PMID:23716738
Amato, Dante; de Jesús Novales-Castro, Xavier
2009-01-01
Assess the degree to which medical students accept and consider useful the techniques of problem based learning (PBL) and evaluation among peers. Analyze the association between the number of PBL clinical cases reviewed and the students' perception about their own learning in a basic course. A questionnaire was administered to 334 students enrolled in the third semester of medical school (Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México). Questions included acceptability of PBL, peer evaluation, and their perception about the usefulness of these techniques after having used them during the school year. We used a Likert scale to measure opinions on the degree of usefulness of the PBL, perception of their own learning, and the acceptance of the notion that evaluation activities evaluation among peers promote justice and favor the student's character formation. We measured the association of these variables with the number of clinical cases studied using Spearman's rank correlation coefficient. Most of the students considered that PBL method is useful (82%) and that evaluation activities among peers promote justice and character formation (70%). Students who reviewed more PBL cases considered the PBL activities more useful (rho = 0.489, p < 0.0001), and perceived that they achieved a better learning experience (rho = 0.200, p < 0.0001). Results show a fair acceptance by the students of the PBL method and activities of peer evaluation. The number of clinical cases reviewed during the course correlated with considering the PBL to be a useful method and perceiving a better learning experience. Our results support the inclusion of PBL and peer evaluation in the medical school curricula.
2013-01-01
Background There is an accumulating body of evidence indicating that neuronal functional specificity to basic sensory stimulation is mutable and subject to experience. Although fMRI experiments have investigated changes in brain activity after relative to before perceptual learning, brain activity during perceptual learning has not been explored. This work investigated brain activity related to auditory frequency discrimination learning using a variational Bayesian approach for source localization, during simultaneous EEG and fMRI recording. We investigated whether the practice effects are determined solely by activity in stimulus-driven mechanisms or whether high-level attentional mechanisms, which are linked to the perceptual task, control the learning process. Results The results of fMRI analyses revealed significant attention and learning related activity in left and right superior temporal gyrus STG as well as the left inferior frontal gyrus IFG. Current source localization of simultaneously recorded EEG data was estimated using a variational Bayesian method. Analysis of current localized to the left inferior frontal gyrus and the right superior temporal gyrus revealed gamma band activity correlated with behavioral performance. Conclusions Rapid improvement in task performance is accompanied by plastic changes in the sensory cortex as well as superior areas gated by selective attention. Together the fMRI and EEG results suggest that gamma band activity in the right STG and left IFG plays an important role during perceptual learning. PMID:23316957
NASA Astrophysics Data System (ADS)
Berry, Stacy Jane
There has been an increased emphasis for college instruction to incorporate more active and collaborative involvement of students in the learning process. These views have been asserted by The Association of American Colleges (AAC), the National Science Foundation (NSF), and The National Research Counsel (NRC), which are advocating for the modification of traditional instructional techniques to allow students the opportunity to be more cooperative (Task Group on General Education, 1988). This has guided educators and facilitators into shifting teaching paradigms from a teacher centered to a more student-centered curriculum. The present study investigated achievement outcomes and attitudes of learners in a large enrollment (n ~ 200), introductory geology course using a student centered learning cycle format of instruction versus another similar section that used a traditional lecture format. Although the course is a recruiting class for majors, over 95% of the students that enroll are non-majors. Measurements of academic evaluation were through four unit exams, classroom communication systems, weekly web-based homework, in-class activities, and a thematic collaborative poster/paper project and presentation. The qualitative methods to investigate the effectiveness of the teaching design included: direct observation, self-reporting about learning, and open-ended interviews. By disaggregating emerging data, we tried to concentrate on patterns and causal relationships between achievement performance and attitudes regarding learning geology. Statistical analyses revealed positive relationships between student engagement in supplemental activities and achievement mean scores within and between the two sections. Completing weekly online homework had the most robust relationship with overall achievement performance. Contrary to expectations, a thematic group project only led to modest gains in achievement performance, although the social and professional gains could be considered as significant as the academic merit. The qualitative data substantiated the achievement success and revealed a positive relationship between a student centered learning environment and attitudes regarding learning geology. Our findings indicated a positive trend favoring active learning instructional practices, particularly methods that emphasize independent and active thinking, and analyzing of data. Of particular interest was the correlation between the amount of student ownership in an activity and students' attitude toward authenticity and application in learning. Students' perceptions and attitudes provided depth in program evaluation and helped in identifying which components used in teaching methodologies were the most effective towards learning. Although the exigencies of high enrollment introductory courses set limits for this study, the outcomes support the positive influence that active learning has on achievement performance in a high enrollment, introductory Geology course.
Cuyvers, Katrien; Donche, Vincent; Van den Bossche, Piet
2016-05-01
The entrance of newly qualified medical specialists into daily practice is considered to be a stressful period in which curriculum support is absent. Although engaging in both personal and professional learning and development activities is recognized fundamental for lifelong professional competence, research on medical professionals' entrance into practice is scarce. This research aims to contribute to the framework of medical professionals' informal learning and outlines the results of an exploratory study on the nature of learning in daily practice beyond postgraduate training. Eleven newly qualified physicians from different specialized backgrounds participated in a phenomenographic study, using a critical incident method and a grounded theory approach. Results demonstrated that learning in the workplace is, to a large extent, informal and associated with a variety of learning experiences. Analysis shows that experiences related to diagnostics and treatments are important sources for learning. Furthermore, incidents related to communication, changing roles, policy and organization offer learning opportunities, and therefore categorized as learning experiences. A broad range of learning activities are identified in dealing with these learning experiences. More specifically, actively engaging in actions and interactions, especially with colleagues of the same specialty, are the most mentioned. Observing others, consulting written sources, and recognizing uncertainties, are also referred to as learning activities. In the study, interaction, solely or combined with other learning activities, are deemed as very important by specialists in the initial entrance into practice. These insights can be used to develop workplace structures to support the entrance into practice following postgraduate training.
Competency and an active learning program in undergraduate nursing education.
Shin, Hyunsook; Sok, Sohyune; Hyun, Kyung Sun; Kim, Mi Ja
2015-03-01
To evaluate the effect of an active learning program on competency of senior students. Active learning strategies have been used to help students achieve desired nursing competency, but their effectiveness has not been systematically examined. A descriptive, cross-sectional comparative design was used. Two cohort group comparisons using t-test were made: one in an active learning group and the other in a traditional learning group. A total of 147 senior nursing students near graduation participated in this study: 73 in 2010 and 74 in 2013. The active learning program incorporated high-fidelity simulation, situation-based case studies, standardized patients, audio-video playback, reflective activities and technology such as a SmartPad-based program. The overall scores of the nursing competency in the active group were significantly higher than those in the traditional group. Of five overall subdomains, the scores of the special and general clinical performance competency, critical thinking and human understanding were significantly higher in the active group than in the traditional group. Importance-performance analysis showed that all five subdomains of the active group clustered in the high importance and high performance quadrant, indicating significantly better achievements. In contrast, the students in the traditional group showed scattered patterns in three quadrants, excluding the low importance and low performance quadrants. This pattern indicates that the traditional learning method did not yield the high performance in most important areas. The findings of this study suggest that an active learning strategy is useful for helping undergraduate students to gain competency. © 2014 John Wiley & Sons Ltd.
Alanazi, Hamdan O; Abdullah, Abdul Hanan; Qureshi, Kashif Naseer
2017-04-01
Recently, Artificial Intelligence (AI) has been used widely in medicine and health care sector. In machine learning, the classification or prediction is a major field of AI. Today, the study of existing predictive models based on machine learning methods is extremely active. Doctors need accurate predictions for the outcomes of their patients' diseases. In addition, for accurate predictions, timing is another significant factor that influences treatment decisions. In this paper, existing predictive models in medicine and health care have critically reviewed. Furthermore, the most famous machine learning methods have explained, and the confusion between a statistical approach and machine learning has clarified. A review of related literature reveals that the predictions of existing predictive models differ even when the same dataset is used. Therefore, existing predictive models are essential, and current methods must be improved.
ASPECT: A Survey to Assess Student Perspective of Engagement in an Active-Learning Classroom.
Wiggins, Benjamin L; Eddy, Sarah L; Wener-Fligner, Leah; Freisem, Karen; Grunspan, Daniel Z; Theobald, Elli J; Timbrook, Jerry; Crowe, Alison J
2017-01-01
The primary measure used to determine relative effectiveness of in-class activities has been student performance on pre/posttests. However, in today's active-learning classrooms, learning is a social activity, requiring students to interact and learn from their peers. To develop effective active-learning exercises that engage students, it is important to gain a more holistic view of the student experience in an active-learning classroom. We have taken a mixed-methods approach to iteratively develop and validate a 16-item survey to measure multiple facets of the student experience during active-learning exercises. The instrument, which we call A ssessing S tudent P erspective of E ngagement in C lass T ool (ASPECT), was administered to a large introductory biology class, and student responses were subjected to exploratory factor analysis. The 16 items loaded onto three factors that cumulatively explained 52% of the variation in student response: 1) value of activity, 2) personal effort, and 3) instructor contribution. ASPECT provides a rapid, easily administered means to measure student perception of engagement in an active-learning classroom. Gaining a better understanding of students' level of engagement will help inform instructor best practices and provide an additional measure for comprehensively assessing the impact of different active-learning strategies. © 2017 B. L. Wiggins, S. L. Eddy, et al. CBE—Life Sciences Education © 2017 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).
Simultaneous anatomical sketching as learning by doing method of teaching human anatomy
Noorafshan, Ali; Hoseini, Leila; Amini, Mitra; Dehghani, Mohammad-Reza; Kojuri, Javad; Bazrafkan, Leila
2014-01-01
Objective: Learning by lecture is a passive experience. Many innovative techniques have been presented to stimulate students to assume a more active attitude toward learning. In this study, simultaneous sketch drawing, as an interactive learning technique was applied to teach anatomy to the medical students. Materials and Methods: We reconstructed a fun interactive model of teaching anatomy as simultaneous anatomic sketching. To test the model's instruction effectiveness, we conducted a quasi- experimental study and then the students were asked to write their learning experiences in their portfolio, also their view was evaluated by a questionnaire. Results: The results of portfolio evaluation revealed that students believed that this method leads to deep learning and understanding anatomical subjects better. Evaluation of the students’ views on this teaching approach was showed that, more than 80% of the students were agreed or completely agreed with this statement that leaning anatomy concepts are easier and the class is less boring with this method. More than 60% of the students were agreed or completely agreed to sketch anatomical figures with professor simultaneously. They also found the sketching make anatomy more attractive and it reduced the time for learning anatomy. These number of students were agree or completely agree that the method help them learning anatomical concept in anatomy laboratory. More than 80% of the students found the simultaneous sketching is a good method for learning anatomy overall. Conclusion: Sketch drawing, as an interactive learning technique, is an attractive for students to learn anatomy. PMID:25013843
ERIC Educational Resources Information Center
Slayton, Julie; Samkian, Artineh
2017-01-01
We present our approach to a qualitative research methods course to prepare practitioner-scholars for their dissertation and independent research. We explain how an instructor's guide provides consistency and rigor, and in-class activities to scaffold learning, and helps faculty connect the content to students' out-of-school lives. We explain how…
ERIC Educational Resources Information Center
Starling, A. Leyf Peirce; Lo, Ya-Yu; Rivera, Christopher J.
2015-01-01
This study evaluated the differential effects of three different science teaching methods, namely engineering teaching kit (ETK), explicit instruction (EI), and a combination of the two methods (ETK+EI), in two sixth-grade science classrooms. Twelve students with learning disabilities (LD) and/or attention deficit hyperactivity disorder (ADHD)…
Internet Point of Care Learning at a Community Hospital
ERIC Educational Resources Information Center
Sinusas, Keith
2009-01-01
Introduction: Internet point of care (PoC) learning is a relatively new method for obtaining continuing medical education credits. Few data are available to describe physician utilization of this CME activity. Methods: We describe the Internet point of care system we developed at a medium-sized community hospital and report on its first year of…
Studies of learned helplessness in honey bees (Apis mellifera ligustica).
Dinges, Christopher W; Varnon, Christopher A; Cota, Lisa D; Slykerman, Stephen; Abramson, Charles I
2017-04-01
The current study reports 2 experiments investigating learned helplessness in the honey bee (Apis mellifera ligustica). In Experiment 1, we used a traditional escape method but found the bees' activity levels too high to observe changes due to treatment conditions. The bees were not able to learn in this traditional escape procedure; thus, such procedures may be inappropriate to study learned helplessness in honey bees. In Experiment 2, we used an alternative punishment, or passive avoidance, method to investigate learned helplessness. Using a master and yoked design where bees were trained as either master or yoked and tested as either master or yoked, we found that prior training with unavoidable and inescapable shock in the yoked condition interfered with avoidance and escape behavior in the later master condition. Unlike control bees, learned helplessness bees failed to restrict their movement to the safe compartment following inescapable shock. Unlike learned helplessness studies in other animals, no decrease in general activity was observed. Furthermore, we did not observe a "freezing" response to inescapable aversive stimuli-a phenomenon, thus far, consistently observed in learned helplessness tests with other species. The bees, instead, continued to move back and forth between compartments despite punishment in the incorrect compartment. These findings suggest that, although traditional escape methods may not be suitable, honey bees display learned helplessness in passive avoidance procedures. Thus, regardless of behavioral differences from other species, honey bees can be a unique invertebrate model organism for the study of learned helplessness. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Yamaguchi, Yukio; Kai, Yuko; Kumamoto, Hiroko
2009-12-01
The purpose of the present trial was to develop and evaluate an educational program for promotion of healthy nutrition and physical activity by health volunteers. The educational program consisted of the following four phases: preliminary self-learning by mail (3 weeks), basic learning (3 sessions of 3 hours), practice of planned activities (2 months), and a report session (1 session of 3 hours). Beginner volunteers (n=18, mean age 63.3 +/- 6.4) were recruited from two volunteer health organizations in Kurume city. They then participated in a program that taught basic health knowledge regarding nutrition and physical activity, how to plan effective support activities, and methods for self-evaluation. In the preliminary self-learning phase, an assessment sheet, health information, and homework (goal setting, etc.) were delivered to the volunteers by mail. In the basic learning phase, volunteers attended a 3 day seminar on essential principles for behavioral change and assessment methods for volunteer activity. In addition, effective support activities were planned through group discussion. After a 2-month practice of support activities, each group reported and discussed the results of their activity in a 3-hour report session. Main outcome measures were health knowledge (15 items, 0-1 points), self-efficacy for life style support (5 items, 0-100%), and evaluation of the educational program (9 items, 1-5 points). All measures were self-administered. Significant increases in rate of true answers for health knowledge were observed during the preliminary self-learning and before basic learning phases (54.8% --> 67.1%, P < 0.05), and before and after basic learning phases (67.1% --> 87.6%, P < 0.05). Self-efficacy for life style support were significantly higher after the report session than before the preliminary self-learning phase (35.1% --> 53.1%, P < 0.05). In the two-month practice, all groups received feedback through questionnaires completed by participants who took part in their planned activity. The mean scores for the overall evaluation of the program, the effectiveness of the course materials and group-work, the staff, and the course contents were all higher than 4.0 points. These findings indicate that this program is structured effectively and is appropriate for educating beginner health volunteers regarding promotion of healthy nutrition and physical activity.
Munabi, Ian Guyton; Buwembo, William; Joseph, Ruberwa; Peter, Kawungezi; Bajunirwe, Francis; Mwaka, Erisa Sabakaki
2016-01-01
In this study we used a model of adult learning to explore undergraduate students' views on how to improve the teaching of research methods and biostatistics. This was a secondary analysis of survey data of 600 undergraduate students from three medical schools in Uganda. The analysis looked at student's responses to an open ended section of a questionnaire on their views on undergraduate teaching of research methods and biostatistics. Qualitative phenomenological data analysis was done with a bias towards principles of adult learning. Students appreciated the importance of learning research methods and biostatistics as a way of understanding research problems; appropriately interpreting statistical concepts during their training and post-qualification practice; and translating the knowledge acquired. Stressful teaching environment and inadequate educational resource materials were identified as impediments to effective learning. Suggestions for improved learning included: early and continuous exposure to the course; more active and practical approach to teaching; and a need for mentorship. The current methods of teaching research methods and biostatistics leave most of the students in the dissonance phase of learning resulting in none or poor student engagement that results in a failure to comprehend and/or appreciate the principles governing the use of different research methods.
Bourgeois, J; Laye, M; Lemaire, J; Leone, E; Deudon, A; Darmon, N; Giaume, C; Lafont, V; Brinck-Jensen, S; Dechamps, A; König, A; Robert, P
2016-01-01
This study examined the effectiveness of three different learning methods: trial and error learning (TE), errorless learning (EL) and learning by modeling with spaced retrieval (MR) on the relearning process of IADL in mild-to-moderately severe Alzheimer's Dementia (AD) patients (n=52), using a 6-weeks randomized controlled trial design. The participants had to relearn three IADLs. Repeated-measure analyses during pre-intervention, post-intervention and 1-month delayed sessions were performed. All three learning methods were found to have similar efficiency. However, the intervention produced greater improvements in the actual performance of the IADL tasks than on their explicit knowledge. This study confirms that the relearning of IADL is possible with AD patients through individualized interventions, and that the improvements can be maintained even after the intervention.
ERIC Educational Resources Information Center
Grimes, Catherine Leimkuhler; White, Harold B., III
2015-01-01
There are barriers to adoption of research-based teaching methods. Professional development workshops may inform faculty of these methods, but effective adoption often does not follow. In addition, newly-minted research-active faculty are often overwhelmed by the many new responsibilities (grant writing, group management, laboratory setup,…
NASA Astrophysics Data System (ADS)
Suwono, H.; Susanti, S.; Lestari, U.
2017-04-01
The learning activities that involve the students to learn actively is one of the characteristics of a qualified education. The learning strategy that involves students’ active learning is guided inquiry. Learning problems today are growing metacognitive skills and cognitive learning outcomes. It is the research and development of learning module by using 4D models of Thiagarajan. The first phase is Define, which analyses the problems and needs required by the prior preparation of the module. The second phase is Design, which formulates learning design and devices to obtain the initial draft of learning modules. The third stage is Develop, which is developing and writing module, module validation, product testing, revision, and the resulting an end-product results module development. The fourth stage is Disseminate, which is disseminating of the valid products. Modules were validated by education experts, practitioners, subject matter experts, and expert of online media. The results of the validation module indicated that the module was valid and could be used in teaching and learning. In the validation phase of testing methods, we used experiments to know the difference of metacognitive skills and learning outcomes between the control group and experimental group. The experimental design was a one group pretest-posttest design. The results of the data analysis showed that the modules could enhance metacognitive skills and learning outcomes. The advantages of this module is as follows, 1) module is accompanied by a video link on a website that contains practical activities that are appropriate to Curriculum 2013, 2) module is accompanied by a video link on a website that contains about manual laboratory activities that will be used in the classroom face-to-face, so that students are ready when doing laboratory activities, 3) this module can be online through chat to increase students’ understanding. The disadvantages of this module are the material presented in the modules is limited. It is suggested that for the better utilisation of the online activities, students should be present at every meeting of the activities, so as to make all the students participate actively. It is also suggested that school set up facilities to support blended learning.
Automated Assessment of Cognitive Health Using Smart Home Technologies
Dawadi, Prafulla N.; Cook, Diane J.; Schmitter-Edgecombe, Maureen; Parsey, Carolyn
2014-01-01
BACKGROUND The goal of this work is to develop intelligent systems to monitor the well being of individuals in their home environments. OBJECTIVE This paper introduces a machine learning-based method to automatically predict activity quality in smart homes and automatically assess cognitive health based on activity quality. METHODS This paper describes an automated framework to extract set of features from smart home sensors data that reflects the activity performance or ability of an individual to complete an activity which can be input to machine learning algorithms. Output from learning algorithms including principal component analysis, support vector machine, and logistic regression algorithms are used to quantify activity quality for a complex set of smart home activities and predict cognitive health of participants. RESULTS Smart home activity data was gathered from volunteer participants (n=263) who performed a complex set of activities in our smart home testbed. We compare our automated activity quality prediction and cognitive health prediction with direct observation scores and health assessment obtained from neuropsychologists. With all samples included, we obtained statistically significant correlation (r=0.54) between direct observation scores and predicted activity quality. Similarly, using a support vector machine classifier, we obtained reasonable classification accuracy (area under the ROC curve = 0.80, g-mean = 0.73) in classifying participants into two different cognitive classes, dementia and cognitive healthy. CONCLUSIONS The results suggest that it is possible to automatically quantify the task quality of smart home activities and perform limited assessment of the cognitive health of individual if smart home activities are properly chosen and learning algorithms are appropriately trained. PMID:23949177
Implementing active-learning strategies to improve physics learning in Latin America
NASA Astrophysics Data System (ADS)
Alarcon, Hugo; Zavala, G.; Fernandez, R.; Benegas, J.
2006-12-01
It is evident that the most effective active-learning strategies to improve physics learning at the college level have been developed in the United States. Recently, some universities in Latin America have begun adopting such methods as a part of institutional projects, or motivated by national projects led by education authorities. In this work we will present two cases, a large-scale implementation of Tutorials in Introductory Physics (1) in Mexico supported by the institution as a part of a change in its educational model, and a medium-scale implementation of this method in Chile supported by the national government. In both experiences, the professors involved in the educational experience have previously participated in a training workshop that prepared them for implementing this strategy in the classroom. The training workshop, described elsewhere (2), was designed also under active learning premises, so teachers completed the proposed activities in the same way as their students will do. We will present the first results of these two projects. References: (1) McDermott, L. C., Shaffer, P. S., & PER (1998). "Tutorials in Introductory Physics", Prentice Hall, translated as "Tutoriales para Física Introductoria" (2001) Prentice Hall, Buenos Aires.. (2) Zavala, G., Alarcón, H. and Benegas, J. (2005). "Innovative training of in-service teachers for active learning: A short teacher development course based on Physics Education Research", accepted for publication, J. of Sc. Teach. Ed. This work has been partially supported by Tecnológico de Monterrey through the Chair in Physics Education Research and by MECE Educación Superior Program (Chile).
Inventing Motivates and Prepares Student Teachers for Computer-Based Learning
ERIC Educational Resources Information Center
Glogger-Frey, I.; Kappich, J.; Schwonke, R.; Holzäpfel, L.; Nückles, M.; Renkl, A.
2015-01-01
A brief, problem-oriented phase such as an inventing activity is one potential instructional method for preparing learners not only cognitively but also motivationally for learning. Student teachers often need to overcome motivational barriers in order to use computer-based learning opportunities. In a preliminary experiment, we found that student…
ERIC Educational Resources Information Center
Yuretich, Richard F.; Khan, Samia A.; Leckie, R. Mark; Clement, John J.
2001-01-01
Transfers the environment of a large enrollment oceanography course by modifying lectures to include cooperative learning via interactive in-class exercises and directed discussion. Results of student surveys, course evaluations, and exam performance demonstrate that learning of the subject under these conditions has improved. (Author/SAH)
ERIC Educational Resources Information Center
Saitta, E. K. H.; Bowdon, M. A.; Geiger, C. L.
2011-01-01
Technology was integrated into service-learning activities to create an interactive teaching method for undergraduate students at a large research institution. Chemistry students at the University of Central Florida partnered with high school students at Crooms Academy of Information Technology in interactive service learning projects. The…
Learning during a Collaborative Final Exam
ERIC Educational Resources Information Center
Dahlstrom, Orjan
2012-01-01
Collaborative testing has been suggested to serve as a good learning activity, for example, compared to individual testing. The aim of the present study was to measure learning at different levels of knowledge during a collaborative final exam in a course in basic methods and statistical procedures. Results on pre- and post-tests taken…
Flipped Learning for ESL Writing in a Sudanese School
ERIC Educational Resources Information Center
Abdelrahman, Limia Ali Mohamed; DeWitt, Dorothy; Alias, Norlidah; Rahman, Mohd Nazri Abdul
2017-01-01
Sudanese students seem to lack proficiency in writing English. In addition, teachers continue to use traditional, teacher-centered methods in teaching English as a second language (ESL). The flipped learning (FL) approach where video lectures are assigned as online homework before class, followed by learning activities during class, might be able…
ERIC Educational Resources Information Center
Bhattacharyya, Rani; Templin, Elizabeth; Messer, Cynthia; Chazdon, Scott
2017-01-01
Engaging communities through research-based participatory evaluation and learning methods can be rewarding for both a community and Extension. A case study of a community tourism development program evaluation shows how participatory evaluation and learning can be mutually reinforcing activities. Many communities value the opportunity to reflect…
Multiple Perspectives on Student Learning, Engagement, and Motivation in High School Biology Labs
ERIC Educational Resources Information Center
Shumow, Lee; Schmidt, Jennifer A.; Zaleski, Diana J.
2013-01-01
We present three studies pertaining to learning, engagement and motivation during laboratory lessons in three high school biology classrooms. In the first, quantitative methods are used to compare students' in-the-moment reports of learning, engagement, and motivation during laboratory with other classroom activities. Data were collected with the…
Methods and Strategies: What's the Story?
ERIC Educational Resources Information Center
Lipsitz, Kelsey; Cisterna, Dante; Hanuscin, Deborah
2017-01-01
This column provides ideas and techniques to enhance your science teaching. This month's issue discusses using the 5E learning cycle to create coherent storylines. The 5E learning cycle provides an important framework to help teachers organize activities. To realize the full potential of the 5E framework for student learning, lessons must also…
Building Pre-Service Teaching Efficacy: A Comparison of Instructional Models
ERIC Educational Resources Information Center
Cohen, Rona; Zach, Sima
2013-01-01
Background: Cooperative Learning (CL) is an inclusive name for various models of teaching/learning methods, all of which emphasize the fundamental of meaningful collaboration among learners during their learning activities. Purpose: The purpose of this study was to examine whether the CL teaching model contributed to the teaching efficacy and…
ERIC Educational Resources Information Center
Chapman, Hazel M.; Lovell, Andrew; Bramwell, Ros
2018-01-01
Background: Health consultations are an interpersonal activity that influence health outcomes and attitudes towards self and health professionals for people with learning disabilities. Annual health checks have been introduced to improve health inequalities for people with learning disabilities. Method: A narrative literature review of health care…
ERIC Educational Resources Information Center
Hall, Alfred; Miro, Danielle
2016-01-01
Objective: In this study, we investigated the implementation of project-based learning (PBL) activities in four secondary science, technology, engineering, and mathematics (STEM) education settings to examine the impact of inquiry based instructional practices on student learning. Method: Direct classroom observations were conducted during the…
Engaging General Biology Students with Learning Contracts
ERIC Educational Resources Information Center
Litchfield, Brenda; Mata, Juan; Gray, Laura
2007-01-01
Students in a general biology class used a learning contract where they selected chapter-relevant activities they could complete through several formats: oral, written, or artistic. The majority of students felt they learned a lot with this method, the process was motivating, and that it should be used in future semesters. (Contains 6 figures.)
How children with cerebral palsy master bimanual activities from a parental perspective.
Lidman, Git; Himmelmann, Kate; Gosman-Hedström, Gunilla; Peny-Dahlstrand, Marie
2017-06-09
During childhood, children learn the daily life activities they want and need to do. Children with unilateral spastic cerebral palsy often have difficulties performing activities requiring two hands. To describe parental reasoning on how children with unilateral spastic cerebral palsy learn to master the performance of bimanual activities in everyday life. Sixteen parents participated in focus groups, a qualitative research approach with its own methodological criteria and research methods. One overall theme emerged from the analysis: 'Finding harmony between pleasure and effort is the key to learning'. This overall theme arose as a synthesis of four themes: 'awakening of the inner drive', 'trying on one's own', 'enabling things to work' and 'it must be worth the effort´. The parents described when an activity woke their children´s inner drive to perform. Their children also strived to develop their own way to perform an activity, sometimes with the support of others, still, some activities were not possible to learn. Occupational therapists and others in the children's environment have an important mission to support the children to find their own harmony between pleasure and effort and their individual key to success in learning bimanual everyday activities.
ERIC Educational Resources Information Center
Towaf, Siti Malikhah
2016-01-01
Learning can be observed from three-dimensions called: effectiveness, efficiency, and attractiveness of learning. Careful study carried out by analyzing the learning elements of the system are: input, process, and output. Lesson study is an activity designed and implemented as an effort to improve learning in a variety of dimensions. "Lesson…
NASA Astrophysics Data System (ADS)
Akhrian Syahidi, Aulia; Asyikin, Arifin Noor; Asy’ari
2018-04-01
Based on my experience of teaching the material of branch control structure, it is found that the condition of the students is less active causing the low activity of the students on the attitude assessment during the learning process on the material of the branch control structure i.e. 2 students 6.45% percentage of good activity and 29 students percentage 93.55% enough and less activity. Then from the low activity resulted in low student learning outcomes based on a daily re-examination of branch control material, only 8 students 26% percentage reached KKM and 23 students 74% percent did not reach KKM. The purpose of this research is to increase the activity and learning outcomes of students of class X TKJ B SMK Muhammadiyah 1 Banjarmasin after applying STAD type cooperative learning model on the material of branch control structure. The research method used is Classroom Action Research. The study was conducted two cycles with six meetings. The subjects of this study were students of class X TKJ B with a total of 31 students consisting of 23 men and 8 women. The object of this study is the activity and student learning outcomes. Data collection techniques used are test and observation techniques. Data analysis technique used is a percentage and mean. The results of this study indicate that: an increase in activity and learning outcomes of students on the basic programming learning material branch control structure after applying STAD type cooperative learning model.
Improving student learning and views of physics in a large enrollment introductory physics class
NASA Astrophysics Data System (ADS)
Salehzadeh Einabad, Omid
Introductory physics courses often serve as gatekeepers for many scientific and engineering programs and, increasingly, colleges are relying on large, lecture formats for these courses. Many students, however, leave having learned very little physics and with poor views of the subject. In interactive engagement (IE), classroom activities encourage students to engage with each other and with physics concepts and to be actively involved in their own learning. These methods have been shown to be effective in introductory physics classes with small group recitations. This study examined student learning and views of physics in a large enrollment course that included IE methods with no separate, small-group recitations. In this study, a large, lecture-based course included activities that had students explaining their reasoning both verbally and in writing, revise their ideas about physics concepts, and apply their reasoning to various problems. The questions addressed were: (a) What do students learn about physics concepts and how does student learning in this course compare to that reported in the literature for students in a traditional course?, (b) Do students' views of physics change and how do students' views of physics compare to that reported in the literature for students in a traditional course?, and (c) Which of the instructional strategies contribute to student learning in this course? Data included: pre-post administration of the Force Concept Inventory (FCI), classroom exams during the term, pre-post administration of the Colorado Learning Attitudes About Science Survey (CLASS), and student work, interviews, and open-ended surveys. The average normalized gain (=0.32) on the FCI falls within the medium-gain range as reported in the physics education literature, even though the average pre-test score was very low (30%) and this was the instructor's first implementation of IE methods. Students' views of physics remained relatively unchanged by instruction. Findings also indicate that the interaction of the instructional strategies together contributed to student learning. Based on these results, IE methods should be adopted in introductory physics classes, particularly in classes where students have low pre-test scores. It is also important to provide support for instructors new to IE strategies.
Bykova, L G; Bazylev, V N
1994-01-01
By means of dichotic test the comparative research of the brain activity in dynamics in 84 adult students was conducted during their traditional (36 persons) and intensive (48 persons) learning of foreign languages. By different methods of learning the reliable distinction of the hemisphere's asymmetry was not detected. By both methods in the reliable majority of students the activation of the hemisphere opposite to the one dominating initially was observed. The correlation between the maximum quantitative shift of the right ear coefficient and the level of success in colloquial practice by the same initial level of language start and initial comparable size of memory was revealed. The authors discuss the possibility of the individual map composition for every student using the results of dichotic tests in dynamics for the help in the profession of a teacher.
Research participation improves student's exam performance.
Gil-Gómez de Liaño, Beatriz; León, Orfelio G; Pascual-Ezama, David
2012-07-01
Although there have been several attempts to explore for beneficial effects of research participation in social sciences, most of them have mainly explored satisfaction and students learning perceptions (e.g., Bowman & Waite, 2003). Very few works have studied learning by measuring exam performance. Moreover, participation has been usually conceptualized as a mixture of active and passive participation, including in the same measure different practices such as filling up questionnaires, running experiments or reading and answering questions about a journal article or a scientific conference. The present work tries to determine if there is an advantage due to research participation comparing exam performance, satisfaction and perceived learning of the matter Research Methods in Psychology, in three different groups (non-participating, passive and active participating). As we can see in the results, the mere participation benefits exam performance. Results are discussed in terms of the use of research participation as a new powerful active method in education.
Wieser, Heike; Waldboth, Simone; Mischo-Kelling, Maria
2016-01-01
Objectives The purpose of this study was to investigate how students perceived their learning experience when combining traditional anatomy lectures with preparatory e-learning activities that consisted of fill-in-the-blank assignments, videos, and multiple-choice quizzes. Methods A qualitative study was conducted to explore changes in study behaviour and perception of learning. Three group interviews with students were conducted and thematically analysed. Results Data was categorized into four themes: 1. Approaching the course material, 2. Understanding the material, 3. Consolidating the material, and 4. Perceived learning outcome. Students appreciated the clear structure of the course, and reported that online activities encouraged them towards a first engagement with the material. They felt that they were more active during in-class sessions, described self-study before the end-of-term exam as easier, and believed that contents would remain in their memories for a longer time. Conclusions By adjusting already existing resources, lectures can be combined fairly easily and cost-effectively with preparatory e-learning activities. The creation of online components promote well-structured courses, can help minimize ‘student passivity’ as a characteristic element of lectures, and can support students in distributing their studies throughout the term, thus suggesting enhanced learning. Further research work should be designed to confirm the afore-mentioned findings through objective measurements of student learning outcomes. PMID:26897012
ERIC Educational Resources Information Center
Sjöstedt, Roxanna
2015-01-01
Teaching introductory International Relations (IR) and peace and conflict studies can be challenging, as undergraduate teaching frequently involves large student groups that limit student activity to listening and taking notes. According to pedagogic research, this is not the optimal structure for learning. Rather, although a teacher can pass on…
ERIC Educational Resources Information Center
Premdas, Leisa
2017-01-01
The purpose of this mixed method study was to determine the perceived impact of learning about technology via action research as a professional development activity on faculty and students in higher education. Nine faculty members--also Teaching and Technology Fellows representing various disciplines at St. John's University--were selected based…
ERIC Educational Resources Information Center
Engidaw, Berhanu
2014-01-01
This study is on teacher trainers and teacher trainees' perceptions and practices of active learning and the constraints to implementing them in the English Department of Bahir Dar University. A mixed study approach that involves a quantitative self administered questionnaire, a semi-structured lesson observation guide, and qualitative in depth…
ERIC Educational Resources Information Center
Stamm, Randy Lee
2013-01-01
The purpose of this mixed method research study was to examine relationships in student and instructor activity logs and student performance benchmarks specific to enabling early intervention by the instructor in a Learning Management System (LMS). Instructor feedback was collected through a survey instrument to demonstrate perceived importance of…
ERIC Educational Resources Information Center
Barendregt, Wolmet; Bekker, Tilde M.
2011-01-01
Employing a mixed-method explorative approach, this study examined the in situ use of and opinions about an educational computer game for learning English introduced in three schools offering different levels of freedom to choose school activities. The results indicated that the general behaviour of the children with the game was very different…
MICE 2.0: Designing Multimedia Content to Foster Active Learning in a Malaysian Classroom
ERIC Educational Resources Information Center
Neo, Tse-Kian; Neo, Mai; Kwok, Wai-Jing; Tan, Yeen-Ju; Lai, Chen-Haw; Zarina, Che Embi
2012-01-01
With the strong emphasis of social constructivism, many educators are finding new ways to stimulate and enhance social activities within the classroom. One such method is the use of cooperative learning. A cohort of students worked in small teams cooperatively to complete an assignment while using blogs to document and reflect their work.…
Use of classroom "clickers" to promote acquisition of advanced reasoning skills.
DeBourgh, Gregory A
2008-03-01
Use of classroom response systems (a.k.a. "clickers" or "audience polling systems") are growing in popularity among faculty in colleges and universities. When used by faculty in a strategic instructional design, clickers can raise the level of participation and the effectiveness of interaction, promote engagement of students in active learning, foster communication to clarify misunderstanding and incorrect thinking, and provide a method to instructionally embed assessment as a learning activity rather than reliance on the traditional approach of summative assessment for assigning grades. This article describes the use of clicker technology in a baccalaureate nursing program to promote acquisition and application of advanced reasoning skills. Methods are suggested for embedding formative assessment and the tactical use of questioning as feedback and a powerful learning tool. Operational aspects of clickers technology are summarized and students' perceptions and satisfaction with use of this teaching and learning technology are described.
Methods for detecting long-term CNS dysfunction after prenatal exposure to neurotoxins.
Vorhees, C V
1997-11-01
Current U.S. Environmental Protection Agency regulatory guidelines for developmental neurotoxicity emphasize functional categories such as motor activity, auditory startle, and learning and memory. A single test of some simple form of learning and memory is accepted to meet the latter category. The rationale for this emphasis has been that sensitive and reliable methods for assessing complex learning and memory are either not available or are too burdensome, and that insufficient data exist to endorse one approach over another. There has been little discussion of the fact that learning and memory is not a single identifiable functional category and no single test can assess all types of learning and memory. Three methods for assessing complex learning and memory are presented that assess two different types of learning and memory, are relatively efficient to conduct, and are sensitive to several known neurobehavioral teratogens. The tests are a 9-unit multiple-T swimming maze, and the Morris and Barnes mazes. The first of these assesses sequential learning, while the latter two assess spatial learning. A description of each test is provided, along with procedures for their use, and data exemplifying effects obtained using developmental exposure to phenytoin, methamphetamine, and MDMA. It is argued that multiple tests of learning and memory are required to ascertain cognitive deficits; something no single method can accomplish. Methods for acoustic startle are also presented.
Activity-Based Introductory Physics Reform *
NASA Astrophysics Data System (ADS)
Thornton, Ronald
2004-05-01
Physics education research has shown that learning environments that engage students and allow them to take an active part in their learning can lead to large conceptual gains compared to those of good traditional instruction. Examples of successful curricula and methods include Peer Instruction, Just in Time Teaching, RealTime Physics, Workshop Physics, Scale-Up, and Interactive Lecture Demonstrations (ILDs). RealTime Physics promotes interaction among students in a laboratory setting and makes use of powerful real-time data logging tools to teach concepts as well as quantitative relationships. An active learning environment is often difficult to achieve in large lecture sessions and Workshop Physics and Scale-Up largely eliminate lectures in favor of collaborative student activities. Peer Instruction, Just in Time Teaching, and Interactive Lecture Demonstrations (ILDs) make lectures more interactive in complementary ways. This presentation will introduce these reforms and use Interactive Lecture Demonstrations (ILDs) with the audience to illustrate the types of curricula and tools used in the curricula above. ILDs make use real experiments, real-time data logging tools and student interaction to create an active learning environment in large lecture classes. A short video of students involved in interactive lecture demonstrations will be shown. The results of research studies at various institutions to measure the effectiveness of these methods will be presented.
Edafe, Ovie; Brooks, William S; Laskar, Simone N; Benjamin, Miles W; Chan, Philip
2016-03-20
This study examines the perceived impact of a novel clinical teaching method based on FAIR principles (feedback, activity, individuality and relevance) on students' learning on clinical placement. This was a qualitative research study. Participants were third year and final year medical students attached to one UK vascular firm over a four-year period (N=108). Students were asked to write a reflective essay on how FAIRness approach differs from previous clinical placement, and its advantages and disadvantages. Essays were thematically analysed and globally rated (positive, negative or neutral) by two independent researchers. Over 90% of essays reported positive experiences of feedback, activity, individuality and relevance model. The model provided multifaceted feedback; active participation; longitudinal improvement; relevance to stage of learning and future goals; structured teaching; professional development; safe learning environment; consultant involvement in teaching. Students perceived preparation for tutorials to be time intensive for tutors/students; a lack of teaching on medical sciences and direct observation of performance; more than once weekly sessions would be beneficial; some issues with peer and public feedback, relevance to upcoming exam and large group sizes. Students described negative experiences of "standard" clinical teaching. Progressive teaching programmes based on the FAIRness principles, feedback, activity, individuality and relevance, could be used as a model to improve current undergraduate clinical teaching.
Brainstorming: weighted voting prediction of inhibitors for protein targets.
Plewczynski, Dariusz
2011-09-01
The "Brainstorming" approach presented in this paper is a weighted voting method that can improve the quality of predictions generated by several machine learning (ML) methods. First, an ensemble of heterogeneous ML algorithms is trained on available experimental data, then all solutions are gathered and a consensus is built between them. The final prediction is performed using a voting procedure, whereby the vote of each method is weighted according to a quality coefficient calculated using multivariable linear regression (MLR). The MLR optimization procedure is very fast, therefore no additional computational cost is introduced by using this jury approach. Here, brainstorming is applied to selecting actives from large collections of compounds relating to five diverse biological targets of medicinal interest, namely HIV-reverse transcriptase, cyclooxygenase-2, dihydrofolate reductase, estrogen receptor, and thrombin. The MDL Drug Data Report (MDDR) database was used for selecting known inhibitors for these protein targets, and experimental data was then used to train a set of machine learning methods. The benchmark dataset (available at http://bio.icm.edu.pl/∼darman/chemoinfo/benchmark.tar.gz ) can be used for further testing of various clustering and machine learning methods when predicting the biological activity of compounds. Depending on the protein target, the overall recall value is raised by at least 20% in comparison to any single machine learning method (including ensemble methods like random forest) and unweighted simple majority voting procedures.
Evaluation of Teaching and Learning in Family Medicine by Students: A Sri Lankan Experience
Ramanayake, R. P. J. C.; De Silva, A. H. W.; Perera, D. P.; Sumanasekara, R. D. N.; Gunasekara, R.; Chandrasiri, P.
2015-01-01
Background: Family Medicine occupies a prominent place in the undergraduate curriculum of the Faculty of Medicine, University of Kelaniya, Sri Lanka. The one month clinical attachment during the fourth year utilizes a variety of teaching methods. This study evaluates teaching learning methods and learning environment of this attachment. Methodology: A descriptive cross sectional study was carried out among consenting students over a period of six months on completion of the clinical attachment using a pretested self administered questionnaire. Results: Completed questionnaires were returned by 114(99%) students. 90.2% were satisfied with the teaching methods in general while direct observation and feed back from teachers was the most popular(95.1%) followed by learning from patients(91.2%), debate(87.6%), seminar(87.5%) and small group discussions(71.9%). They were highly satisfied with the opportunity they had to develop communication skills (95.5%) and presentation skills (92.9%). Lesser learning opportunity was experienced for history taking (89.9%), problem solving (78.8%) and clinical examination (59.8%) skills. Student satisfaction regarding space within consultation rooms was 80% while space for history taking and examination (62%) and availability of clinical equipment (53%) were less. 90% thought the programme was well organized and adequate understanding on family medicine concepts and practice organization gained by 94% and 95% of the students respectively. Conclusions: Overall student satisfaction was high. Students prefer learning methods which actively involve them. It is important to provide adequate infra structure facilities for student activities to make it a positive learning experience for them. PMID:25810980
Evaluation of teaching and learning in family medicine by students: a sri lankan experience.
Ramanayake, R P J C; De Silva, A H W; Perera, D P; Sumanasekara, R D N; Gunasekara, R; Chandrasiri, P
2015-01-01
Family Medicine occupies a prominent place in the undergraduate curriculum of the Faculty of Medicine, University of Kelaniya, Sri Lanka. The one month clinical attachment during the fourth year utilizes a variety of teaching methods. This study evaluates teaching learning methods and learning environment of this attachment. A descriptive cross sectional study was carried out among consenting students over a period of six months on completion of the clinical attachment using a pretested self administered questionnaire. Completed questionnaires were returned by 114(99%) students. 90.2% were satisfied with the teaching methods in general while direct observation and feed back from teachers was the most popular(95.1%) followed by learning from patients(91.2%), debate(87.6%), seminar(87.5%) and small group discussions(71.9%). They were highly satisfied with the opportunity they had to develop communication skills (95.5%) and presentation skills (92.9%). Lesser learning opportunity was experienced for history taking (89.9%), problem solving (78.8%) and clinical examination (59.8%) skills. Student satisfaction regarding space within consultation rooms was 80% while space for history taking and examination (62%) and availability of clinical equipment (53%) were less. 90% thought the programme was well organized and adequate understanding on family medicine concepts and practice organization gained by 94% and 95% of the students respectively. Overall student satisfaction was high. Students prefer learning methods which actively involve them. It is important to provide adequate infra structure facilities for student activities to make it a positive learning experience for them.
NASA Astrophysics Data System (ADS)
Nerita, S.; Maizeli, A.; Afza, A.
2017-09-01
Process Evaluation and Learning Outcomes of Biology subjects discusses the evaluation process in learning and application of designed and processed learning outcomes. Some problems found during this subject was the student difficult to understand the subject and the subject unavailability of learning resources that can guide and make students independent study. So, it necessary to develop a learning resource that can make active students to think and to make decisions with the guidance of the lecturer. The purpose of this study is to produce handout based on guided discovery method that match the needs of students. The research was done by using 4-D models and limited to define phase that is student requirement analysis. Data obtained from the questionnaire and analyzed descriptively. The results showed that the average requirement of students was 91,43%. Can be concluded that students need a handout based on guided discovery method in the learning process.
ERIC Educational Resources Information Center
Bell, Robin; Bell, Heather
2016-01-01
As support for both university-level entrepreneurship education and the use of experiential learning methods to foster student entrepreneurs has increased, so too has the number of university-established or affiliated entrepreneurship centres. This study focuses on an activity designed to combine experiential learning methods with assets…
Digital learning objects in nursing consultation: technology assessment by undergraduate students.
Silveira, DeniseTolfo; Catalan, Vanessa Menezes; Neutzling, Agnes Ludwig; Martinato, Luísa Helena Machado
2010-01-01
This study followed the teaching-learning process about the nursing consultation, based on digital learning objects developed through the active Problem Based Learning method. The goals were to evaluate the digital learning objects about nursing consultation, develop cognitive skills on the subject using problem based learning and identify the students' opinions on the use of technology. This is an exploratory and descriptive study with a quantitative approach. The sample consisted of 71 students in the sixth period of the nursing program at the Federal University of Rio Grande do Sul. The data was collected through a questionnaire to evaluate the learning objects. The results showed positive agreement (58%) on the content, usability and didactics of the proposed computer-mediated activity regarding the nursing consultation. The application of materials to the students is considered positive.
Chen, Zhao; Cao, Yanfeng; He, Shuaibing; Qiao, Yanjiang
2018-01-01
Action (" gongxiao " in Chinese) of traditional Chinese medicine (TCM) is the high recapitulation for therapeutic and health-preserving effects under the guidance of TCM theory. TCM-defined herbal properties (" yaoxing " in Chinese) had been used in this research. TCM herbal property (TCM-HP) is the high generalization and summary for actions, both of which come from long-term effective clinical practice in two thousands of years in China. However, the specific relationship between TCM-HP and action of TCM is complex and unclear from a scientific perspective. The research about this is conducive to expound the connotation of TCM-HP theory and is of important significance for the development of the TCM-HP theory. One hundred and thirty-three herbs including 88 heat-clearing herbs (HCHs) and 45 blood-activating stasis-resolving herbs (BAHRHs) were collected from reputable TCM literatures, and their corresponding TCM-HPs/actions information were collected from Chinese pharmacopoeia (2015 edition). The Kennard-Stone (K-S) algorithm was used to split 133 herbs into 100 calibration samples and 33 validation samples. Then, machine learning methods including supported vector machine (SVM), k-nearest neighbor (kNN) and deep learning methods including deep belief network (DBN), convolutional neutral network (CNN) were adopted to develop action classification models based on TCM-HP theory, respectively. In order to ensure robustness, these four classification methods were evaluated by using the method of tenfold cross validation and 20 external validation samples for prediction. As results, 72.7-100% of 33 validation samples including 17 HCHs and 16 BASRHs were correctly predicted by these four types of methods. Both of the DBN and CNN methods gave out the best results and their sensitivity, specificity, precision, accuracy were all 100.00%. Especially, the predicted results of external validation set showed that the performance of deep learning methods (DBN, CNN) were better than traditional machine learning methods (kNN, SVM) in terms of their sensitivity, specificity, precision, accuracy. Moreover, the distribution patterns of TCM-HPs of HCHs and BASRHs were also analyzed to detect the featured TCM-HPs of these two types of herbs. The result showed that the featured TCM-HPs of HCHs were cold, bitter, liver and stomach meridians entered, while those of BASRHs were warm, bitter and pungent, liver meridian entered. The performance on validation set and external validation set of deep learning methods (DBN, CNN) were better than machine learning models (kNN, SVM) in sensitivity, specificity, precision, accuracy when predicting the actions of heat-clearing and blood-activating stasis-resolving based on TCM-HP theory. The deep learning classification methods owned better generalization ability and accuracy when predicting the actions of heat-clearing and blood-activating stasis-resolving based on TCM-HP theory. Besides, the methods of deep learning would help us to improve our understanding about the relationship between herbal property and action, as well as to enrich and develop the theory of TCM-HP scientifically.
Pharmacy Students’ Performance and Perceptions in a Flipped Teaching Pilot on Cardiac Arrhythmias
Ip, Eric J.; Lopes, Ingrid; Rajagopalan, Vanishree
2014-01-01
Objective. To implement the flipped teaching method in a 3-class pilot on cardiac arrhythmias and to assess the impact of the intervention on academic performance and student perceptions. Design. An intervention group of 101 first-year pharmacy students, who took the class with the flipped teaching method, were supplied with prerecorded lectures prior to their 3 classes (1 class in each of the following subjects: basic sciences, pharmacology, and therapeutics) on cardiac arrhythmias. Class time was focused on active-learning and case-based exercises. Students then took a final examination that included questions on cardiac arrhythmias. The examination scores of the intervention group were compared to scores of the Spring 2011 control group of 105 first-year students who took the class with traditional teaching methods. An online survey was conducted to assess student feedback from the intervention group. Assessment. The mean examination scores of the intervention group were significantly higher than the mean examination scores of the control group for the cardiac arrhythmia classes in pharmacology (with 89.6 ± 2.0% vs 56.8 ± 2.2%, respectively) and therapeutics (89.2 ± 1.4% vs 73.7 ± 2.1%, respectively). The survey indicated higher student satisfaction for flipped classes with highly rated learning objectives, recordings, and in-class activities. Conclusion. Use of the flipped teaching method in a 3-class pilot on cardiac arrhythmias improved examination scores for 2 of the 3 classes (pharmacology and therapeutics). Student satisfaction was influenced by the quality of the learning objectives, prerecorded lectures, and inclass active-learning activities. PMID:25657372
Baghcheghi, Nayereh; Koohestani, Hamid Reza; Rezaei, Koresh
2011-11-01
The purpose of this study was to compare the effect of traditional learning and cooperative learning methods on nursing students' communication skill with patients. This was an experimental study in which 34 nursing students in their 2nd semester of program participated. They were divided randomly into two groups, a control group who were taught their medical/surgical nursing course by traditional learning method and an experimental group, who were taught the same material using cooperative learning method. Before and after the teaching intervention, the students' communication skills with patients at clinical settings were examined. The results showed that no significant difference between the two groups in students' communication skills scores before the teaching intervention, but did show a significant difference between the two groups in the interaction skills and problem follow up sub-scales scores after the teaching intervention. This study provides evidence that cooperative learning is an effective method for improving and increasing communication skills of nursing students especially in interactive skills and follow up the problems sub-scale, thereby it is recommended to increase nursing students' participation in arguments by applying active teaching methods which can provide the opportunity for increased communication skills. Copyright © 2011 Elsevier Ltd. All rights reserved.
Alternate methods of teaching psychopharmacology.
Zisook, Sidney; Benjamin, Sheldon; Balon, Richard; Glick, Ira; Louie, Alan; Moutier, Christine; Moyer, Trenton; Santos, Cynthia; Servis, Mark
2005-01-01
This article reviews methods used to teach psychopharmacology to psychiatry residents that utilize principles of adult learning, enlist active participation of residents, and provide faculty with skills to seek, analyze, and use new information over the course of their careers. The pros and cons of five "nonlecture" methods of teaching are reviewed: 1) journal clubs, 2) problem-based learning, 3) formalized patient-centered training, 4) games, and 5) the use of modern technology. Several programs are beginning to find novel methods of teaching psychopharmacology that are effective and well received by trainees and faculty. Programs need to go beyond the traditional lecture and apprenticeship model of psychopharmacology education to help make learning more fun, useful, relevant and self-sustaining.
Aoyama, Wakako; Tatsumi, Asami
2017-01-31
In this study, concepts were constructed that express learning experiences in nursing master's degree programs utilized in occupational health nursing activities with the aim of clarifying those characteristics. This was based on the idea that elucidation of the characteristics of learning experiences in nursing master's degree programs used in occupational health nursing activities would be meaningful in providing high-quality occupational health services that respond to the needs of society. Semi-structured interviews were conducted with 10 people who fulfilled the three conditions of having completed a master's degree programs, working as an occupational health nurse after completion of the program, and not continuing on to a doctoral program. The nursing conceptualization method of Naomi Funashima was used. From the obtained data, 512 code items expressing learning experiences in master's degree programs utilized in occupational health nursing activities were identified. These items included five core categories (concepts), 34 categories, and 69 subcategories. The five concepts constructed were "Pursuit of expertise and self-evaluation," "Mutual understanding of various people that leads to human resources utilization," "Theoretical and academic learning that influences changes in activities," "Research learning that lead to activities based on scientific evidence," and "Learning that leads to high-quality activities making use of expertise." It was found that various learning experiences in the master's program to pursue the specialty of occupational health nurses in order to recognize their roles as well as the experiences to take the initiative in learning had been integrated in their activities after completion of the course and had contributed to their high-quality occupational health nursing activities. It was suggested that the learning experiences in the master's program, which had been revealed in this study, were the experiences necessary for providing high-quality occupational health nursing activities to satisfy the social needs.
Deep Recurrent Neural Networks for Human Activity Recognition
Murad, Abdulmajid
2017-01-01
Adopting deep learning methods for human activity recognition has been effective in extracting discriminative features from raw input sequences acquired from body-worn sensors. Although human movements are encoded in a sequence of successive samples in time, typical machine learning methods perform recognition tasks without exploiting the temporal correlations between input data samples. Convolutional neural networks (CNNs) address this issue by using convolutions across a one-dimensional temporal sequence to capture dependencies among input data. However, the size of convolutional kernels restricts the captured range of dependencies between data samples. As a result, typical models are unadaptable to a wide range of activity-recognition configurations and require fixed-length input windows. In this paper, we propose the use of deep recurrent neural networks (DRNNs) for building recognition models that are capable of capturing long-range dependencies in variable-length input sequences. We present unidirectional, bidirectional, and cascaded architectures based on long short-term memory (LSTM) DRNNs and evaluate their effectiveness on miscellaneous benchmark datasets. Experimental results show that our proposed models outperform methods employing conventional machine learning, such as support vector machine (SVM) and k-nearest neighbors (KNN). Additionally, the proposed models yield better performance than other deep learning techniques, such as deep believe networks (DBNs) and CNNs. PMID:29113103
Deep Recurrent Neural Networks for Human Activity Recognition.
Murad, Abdulmajid; Pyun, Jae-Young
2017-11-06
Adopting deep learning methods for human activity recognition has been effective in extracting discriminative features from raw input sequences acquired from body-worn sensors. Although human movements are encoded in a sequence of successive samples in time, typical machine learning methods perform recognition tasks without exploiting the temporal correlations between input data samples. Convolutional neural networks (CNNs) address this issue by using convolutions across a one-dimensional temporal sequence to capture dependencies among input data. However, the size of convolutional kernels restricts the captured range of dependencies between data samples. As a result, typical models are unadaptable to a wide range of activity-recognition configurations and require fixed-length input windows. In this paper, we propose the use of deep recurrent neural networks (DRNNs) for building recognition models that are capable of capturing long-range dependencies in variable-length input sequences. We present unidirectional, bidirectional, and cascaded architectures based on long short-term memory (LSTM) DRNNs and evaluate their effectiveness on miscellaneous benchmark datasets. Experimental results show that our proposed models outperform methods employing conventional machine learning, such as support vector machine (SVM) and k-nearest neighbors (KNN). Additionally, the proposed models yield better performance than other deep learning techniques, such as deep believe networks (DBNs) and CNNs.
NASA Astrophysics Data System (ADS)
Thornton, Ronald
2010-10-01
Physics education research has shown that learning environments that engage students and allow them to take an active part in their learning can lead to large conceptual gains compared to traditional instruction. Examples of successful curricula and methods include Peer Instruction, Just in Time Teaching, RealTime Physics, Workshop Physics, Scale-Up, and Interactive Lecture Demonstrations (ILDs). An active learning environment is often difficult to achieve in lecture sessions. This presentation will demonstrate the use of sequences of Interactive Lecture Demonstrations (ILDs) that use real experiments often involving real-time data collection and display combined with student interaction to create an active learning environment in large or small lecture classes. Interactive lecture demonstrations will be done in the area of mechanics using real-time motion probes and the Visualizer. A video tape of students involved in interactive lecture demonstrations will be shown. The results of a number of research studies at various institutions (including international) to measure the effectiveness of ILDs and guided inquiry conceptual laboratories will be presented.
Eveillard, Matthieu; Pouliquen, Hervé; Ruvoen, Nathalie; Couvreur, Sébastien; Krempf, Michel; Magras, Catherine; Lepelletier, Didier
2017-03-01
This report describes a problem-based learning activity concerning antibiotic exposure and bacterial resistance in human and veterinary medicine. In addition, learning outcomes and satisfaction of students were recorded by the supervisors of the activity. The students all participated actively in the group work and considered that the small size of the group facilitated interpersonal communication. They believed that working in an interdisciplinary group helped them learn better than if they were following specific courses. They also reported that their mid-term meeting with one of the supervisors was a catalyst for the initiation of a real work group. Concerning the evaluation of the activity itself, the supervisors considered that the group provided a relevant analysis of the issue. These characteristics should encourage teachers to test this method of learning certain aspects of microbiology and infectious diseases with their students. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
NASA Astrophysics Data System (ADS)
Barak, Miri; Harward, Judson; Kocur, George; Lerman, Steven
2007-08-01
Within the framework of MIT's course 1.00: Introduction to Computers and Engineering Problem Solving, this paper describes an innovative project entitled: Studio 1.00 that integrates lectures with in-class demonstrations, active learning sessions, and on-task feedback, through the use of wireless laptop computers. This paper also describes a related evaluation study that investigated the effectiveness of different instructional strategies, comparing traditional teaching with two models of the studio format. Students' learning outcomes, specifically, their final grades and conceptual understanding of computational methods and programming, were examined. Findings indicated that Studio-1.00, in both its extensive- and partial-active learning modes, enhanced students' learning outcomes in Java programming. Comparing to the traditional courses, more students in the studio courses received "A" as their final grade and less failed. Moreover, students who regularly attended the active learning sessions were able to conceptualize programming principles better than their peers. We have also found two weaknesses in the teaching format of Studio-1.00 that can guide future versions of the course.
Simultaneous anatomical sketching as learning by doing method of teaching human anatomy.
Noorafshan, Ali; Hoseini, Leila; Amini, Mitra; Dehghani, Mohammad-Reza; Kojuri, Javad; Bazrafkan, Leila
2014-01-01
Learning by lecture is a passive experience. Many innovative techniques have been presented to stimulate students to assume a more active attitude toward learning. In this study, simultaneous sketch drawing, as an interactive learning technique was applied to teach anatomy to the medical students. We reconstructed a fun interactive model of teaching anatomy as simultaneous anatomic sketching. To test the model's instruction effectiveness, we conducted a quasi- experimental study and then the students were asked to write their learning experiences in their portfolio, also their view was evaluated by a questionnaire. The results of portfolio evaluation revealed that students believed that this method leads to deep learning and understanding anatomical subjects better. Evaluation of the students' views on this teaching approach was showed that, more than 80% of the students were agreed or completely agreed with this statement that leaning anatomy concepts are easier and the class is less boring with this method. More than 60% of the students were agreed or completely agreed to sketch anatomical figures with professor simultaneously. They also found the sketching make anatomy more attractive and it reduced the time for learning anatomy. These number of students were agree or completely agree that the method help them learning anatomical concept in anatomy laboratory. More than 80% of the students found the simultaneous sketching is a good method for learning anatomy overall. Sketch drawing, as an interactive learning technique, is an attractive for students to learn anatomy.
Characterizing Student Perceptions of and Buy-In toward Common Formative Assessment Techniques
Brazeal, Kathleen R.; Brown, Tanya L.; Couch, Brian A.
2016-01-01
Formative assessments (FAs) can occur as preclass assignments, in-class activities, or postclass homework. FAs aim to promote student learning by accomplishing key objectives, including clarifying learning expectations, revealing student thinking to the instructor, providing feedback to the student that promotes learning, facilitating peer interactions, and activating student ownership of learning. While FAs have gained prominence within the education community, we have limited knowledge regarding student perceptions of these activities. We used a mixed-methods approach to determine whether students recognize and value the role of FAs in their learning and how students perceive course activities to align with five key FA objectives. To address these questions, we administered a midsemester survey in seven introductory biology course sections that were using multiple FA techniques. Overall, responses to both open-ended and closed-ended questions revealed that the majority of students held positive perceptions of FAs and perceived FAs to facilitate their learning in a variety of ways. Students consistently considered FA activities to have accomplished particular objectives, but there was greater variation among FAs in how students perceived the achievement of other objectives. We further discuss potential sources of student resistance and implications of these results for instructor practice. PMID:27909023
ERIC Educational Resources Information Center
Tomcho, Thomas J.; Foels, Rob; Walter, Mark I.; Yerkes, Kyle; Brady, Brittany; Erdman, Molly; Dantoni, Lindsay; Venables, Megan; Manry, Allison
2015-01-01
A primary objective for researchers who publish teaching activities and methods in the "Teaching of Psychology" (ToP) is to inform best practices in classroom teaching. Beyond the learning effect in the classroom, these ToP teaching activity and method articles may also have a "scientific" effect that heretofore researchers…
Physical Activity and Music to Support Pre-School Children's Mathematics Learning
ERIC Educational Resources Information Center
Elofsson, Jessica; Englund Bohm, Anna; Jeppsson, Catarina; Samuelsson, Joakim
2018-01-01
In order to give all children equal opportunities in school, methods to prevent early differences are needed. The overall aim of this study was to investigate the effectiveness of two structured teaching methods: Math in Action, characterised by physical activity and music, and common numerical activities. Children (28 girls, 25 boys) were…
How to Help Students Conceptualize the Rigorous Definition of the Limit of a Sequence
ERIC Educational Resources Information Center
Roh, Kyeong Hah
2010-01-01
This article suggests an activity, called the epsilon-strip activity, as an instructional method for conceptualization of the rigorous definition of the limit of a sequence via visualization. The article also describes the learning objectives of each instructional step of the activity, and then provides detailed instructional methods to guide…
Models Role within Active Learning in Biology. A Case Study
ERIC Educational Resources Information Center
Pop-Pacurar, Irina; Tirla, Felicia-Doina
2009-01-01
In order to integrate ideas and information creatively, to motivate students and activate their thinking, we have used in Biology classes a series of active methods, among which the methods of critical thinking, which had very good results. Still, in the case of some intuitive, abstract, more difficult topics, such as the cell structure,…
ERIC Educational Resources Information Center
Cheriani, Cheriani; Mahmud, Alimuddin; Tahmir, Suradi; Manda, Darman; Dirawan, Gufran Darma
2015-01-01
This study aims to determine the differences in learning output by using Problem Based Model combines with the "Buginese" Local Cultural Knowledge (PBL-Culture). It is also explores the students activities in learning mathematics subject by using PBL-Culture Models. This research is using Mixed Methods approach that combined quantitative…
Methods and Strategies: Literacy in the Learning Cycle
ERIC Educational Resources Information Center
Everett, Susan; Moyer, Richard
2009-01-01
Trade books can be used in all phases of the learning cycle to support effective teaching and learning. Romance and Vitale (1992) found that texts and other nonfiction science books can be effective tools for teaching reading, as the science activities give learners a purpose for their reading. In this article, the authors share ways to…
Beyond Engagement Analytics: Which Online Mixed-Data Factors Predict Student Learning Outcomes?
ERIC Educational Resources Information Center
Strang, Kenneth David
2017-01-01
This mixed-method study focuses on online learning analytics, a research area of importance. Several important student attributes and their online activities are examined to identify what seems to work best to predict higher grades. The purpose is to explore the relationships between student grade and key learning engagement factors using a large…
ERIC Educational Resources Information Center
Machado-Da-Silva, Fábio Nazareno; Meirelles, Fernando de Souza; Filenga, Douglas; Filho, Marino Brugnolo
2014-01-01
Distance learning has undergone great changes, especially since the advent of the Internet and communication and information technology. Questions have been asked following the growth of this mode of instructional activity. Researchers have investigated methods to assess the benefits of e-learning from a number of perspectives. This survey…
Methodology for Evaluating Quality and Reusability of Learning Objects
ERIC Educational Resources Information Center
Kurilovas, Eugenijus; Bireniene, Virginija; Serikoviene, Silvija
2011-01-01
The aim of the paper is to present the scientific model and several methods for the expert evaluation of quality of learning objects (LOs) paying especial attention to LOs reusability level. The activities of eQNet Quality Network for a European Learning Resource Exchange (LRE) aimed to improve reusability of LOs of European Schoolnet's LRE…
ERIC Educational Resources Information Center
Kyndt, Eva; Govaerts, Natalie; Claes, Trees; De La Marche, Jens; Dochy, Filip
2013-01-01
The current research starts from the observation that low-qualified employees hold a vulnerable position on the labour market. It has been argued that learning and development can decrease this vulnerability; unfortunately research has shown that low-qualified employees participate considerably less in learning activities in comparison with…
Pelsőczi, Péter; Lévay, György
2017-12-01
Automated homecage monitoring systems are now widely recognized and used tools in cognitive neuroscience. However, few of these studies cover pharmacological interventions. Scopolamine, an anticholinergic memory disrupting agent is frequently used to study learning behavior. We studied the impact of scopolamine treatment in a relevant dose-range on activity, drinking behavior and reversal learning of C57BL/DJ mice in a homecage-like, social environment, using the IntelliCage. Naïve mice were first habituated to the IntelliCage, where they learned to nosepoke in any of the four corners in order to gain access to the water reward. Visits, nosepokes, lick numbers and durations were recorded. Mice were then trained to distinguish between a rewarded correct corner and punished, incorrect corners. Later, in the reversal learning phase, the assigned correct corner was rotated clockwise every 24 h. Upon s.c. administration of scopolamine general activity represented by visit and nosepoke numbers increased, but their durations were shorter. Surprisingly, general activity and lick behavior were drastically altered. Scopolamine also significantly reduced the ability to perform a reversal learning task. We not only found significant decline in reversal learning due to scopolamine treatment, but studied the method specific underlying behaviors: the general activity and lick behavior as well.
Teaching of anatomical sciences: A blended learning approach.
Khalil, Mohammed K; Abdel Meguid, Eiman M; Elkhider, Ihsan A
2018-04-01
Blended learning is the integration of different learning approaches, new technologies, and activities that combine traditional face-to-face teaching methods with authentic online methodologies. Although advances in educational technology have helped to expand the selection of different pedagogies, the teaching of anatomical sciences has been challenged by implementation difficulties and other limitations. These challenges are reported to include lack of time, costs, and lack of qualified teachers. Easy access to online information and advances in technology make it possible to resolve these limitations by adopting blended learning approaches. Blended learning strategies have been shown to improve students' academic performance, motivation, attitude, and satisfaction, and to provide convenient and flexible learning. Implementation of blended learning strategies has also proved cost effective. This article provides a theoretical foundation for blended learning and proposes a validated framework for the design of blended learning activities in the teaching and learning of anatomical sciences. Clin. Anat. 31:323-329, 2018. © 2018 Wiley Periodicals, Inc. © 2018 Wiley Periodicals, Inc.
The Science of Home Automation
NASA Astrophysics Data System (ADS)
Thomas, Brian Louis
Smart home technologies and the concept of home automation have become more popular in recent years. This popularity has been accompanied by social acceptance of passive sensors installed throughout the home. The subsequent increase in smart homes facilitates the creation of home automation strategies. We believe that home automation strategies can be generated intelligently by utilizing smart home sensors and activity learning. In this dissertation, we hypothesize that home automation can benefit from activity awareness. To test this, we develop our activity-aware smart automation system, CARL (CASAS Activity-aware Resource Learning). CARL learns the associations between activities and device usage from historical data and utilizes the activity-aware capabilities to control the devices. To help validate CARL we deploy and test three different versions of the automation system in a real-world smart environment. To provide a foundation of activity learning, we integrate existing activity recognition and activity forecasting into CARL home automation. We also explore two alternatives to using human-labeled data to train the activity learning models. The first unsupervised method is Activity Detection, and the second is a modified DBSCAN algorithm that utilizes Dynamic Time Warping (DTW) as a distance metric. We compare the performance of activity learning with human-defined labels and with automatically-discovered activity categories. To provide evidence in support of our hypothesis, we evaluate CARL automation in a smart home testbed. Our results indicate that home automation can be boosted through activity awareness. We also find that the resulting automation has a high degree of usability and comfort for the smart home resident.
Reward and punishment learning in daily life: A replication study.
Heininga, Vera E; van Roekel, Eeske; Wichers, Marieke; Oldehinkel, Albertine J
2017-01-01
Day-to-day experiences are accompanied by feelings of Positive Affect (PA) and Negative Affect (NA). Implicitly, without conscious processing, individuals learn about the reward and punishment value of each context and activity. These associative learning processes, in turn, affect the probability that individuals will re-engage in such activities or seek out that context. So far, implicit learning processes are almost exclusively investigated in controlled laboratory settings and not in daily life. Here we aimed to replicate the first study that investigated implicit learning processes in real life, by means of the Experience Sampling Method (ESM). That is, using an experience-sampling study with 90 time points (three measurements over 30 days), we prospectively measured time spent in social company and amount of physical activity as well as PA and NA in the daily lives of 18-24-year-old young adults (n = 69 with anhedonia, n = 69 without anhedonia). Multilevel analyses showed a punishment learning effect with regard to time spent in company of friends, but not a reward learning effect. Neither reward nor punishment learning effects were found with regard to physical activity. Our study shows promising results for future research on implicit learning processes in daily life, with the proviso of careful consideration of the timescale used. Short-term retrospective ESM design with beeps approximately six hours apart may suffer from mismatch noise that hampers accurate detection of associative learning effects over time.
ERIC Educational Resources Information Center
Hossain, Md. Mokter
2012-01-01
This mixed methods study examined preservice secondary mathematics teachers' perceptions of a blogging activity used as a supportive teaching-learning tool in a college Euclidean Geometry course. The effect of a 12-week blogging activity that was a standard component of a college Euclidean Geometry course offered for preservice secondary…
ERIC Educational Resources Information Center
Florida State Univ., Tallahassee. Center for Studies in Vocational Education.
This document consists of a learning activity packet (LAP) for the student and an instructor's guide for the teacher. The LAP is intended to acquaint occupational home economics students with the major types of vegetables, with the procedures for storing vegetables, and with the general rules and methods of vegetable cookery. Illustrated…
ERIC Educational Resources Information Center
Elaldi, Senel
2016-01-01
This study aimed to determine the effect of mastery learning model supported with reflective thinking activities on the fifth grade medical students' academic achievement. Mixed methods approach was applied in two samples (n = 64 and n = 6). Quantitative part of the study was based on a pre-test-post-test control group design with an experiment…
H2Oh!: Classroom demonstrations and activities for improving student learning of water concepts
NASA Astrophysics Data System (ADS)
Chan-Hilton, A.; Neupauer, R. M.; Burian, S. J.; Lauer, J. W.; Mathisen, P. P.; Mays, D. C.; Olson, M. S.; Pomeroy, C. A.; Ruddell, B. L.; Sciortino, A.
2012-12-01
Research has shown that the use of demonstrations and hands-on activities in the classroom enhances student learning. Students learn more and enjoy classes more when visual and active learning are incorporated into the lecture. Most college-aged students prefer visual modes of learning, while most instruction is conducted in a lecture, or auditory, format. The use of classroom demonstrations provides opportunities for incorporating visual and active learning into the classroom environment. However, while most instructors acknowledge the benefits of these teaching methods, they typically do not have the time and resources to develop and test such activities and to develop plans to incorporate them into their lectures. Members of the Excellence in Water Resources Education Task Committee of the Environmental and Water Resources Institute (EWRI) of the American Society of Civil Engineers (ASCE) have produced a publication that contains a collection of activities aimed to foster excellence in water resources and hydrology education and improve student learning of principles. The book contains forty-five demonstrations and activities that can be used in water-related classes with topics in fluid mechanics, hydraulics, surface water hydrology, groundwater hydrology, and water quality. We present examples of these activities, including topics such as conservation of momentum, buoyancy, Bernoulli's principle, drag force, pipe flow, watershed delineation, reservoir networks, head distribution in aquifers, and molecular diffusion in a porous medium. Unlike full laboratory exercises, these brief demonstrations and activities (most of which take less than fifteen minutes) can be easily incorporated into classroom lectures. For each demonstration, guidance for preparing and conducting the activity, along with a brief overview of the principles that are demonstrated, is provided. The target audience of the activities is undergraduate students, although the activities also may be used in K-12 and graduate classes.
2005-01-01
Active learning and research-oriented activities have been increasingly used in smaller, specialized science courses. Application of this type of scientific teaching to large enrollment introductory courses has been, however, a major challenge. The general microbiology lecture/laboratory course described has been designed to incorporate published active-learning methods. Three major case studies are used as platforms for active learning. Themes from case studies are integrated into lectures and laboratory experiments, and in class and online discussions and assignments. Students are stimulated to apply facts to problem-solving and to learn research skills such as data analysis, writing, and working in teams. This course is feasible only because of its organizational framework that makes use of teaching teams (made up of faculty, graduate assistants, and undergraduate assistants) and Web-based technology. Technology is a mode of communication, but also a system of course management. The relevance of this model to other biology courses led to assessment and evaluation, including an analysis of student responses to the new course, class performance, a university course evaluation, and retention of course learning. The results are indicative of an increase in student engagement in research-oriented activities and an appreciation of real-world context by students. PMID:15917873
Chalk It up to Experience: Using Chalkboard Paint to Create Mathematical Manipulatives
ERIC Educational Resources Information Center
Young, Andrea; Bruhns, Kathryn
2016-01-01
In this article, we give two examples of creating portable chalkboards using chalkboard paint for students to use during cooperative learning. This provides a creative method for professors to facilitate active learning in the undergraduate mathematics classroom.
Mentos and Scientific Method: A Sweet Combination
ERIC Educational Resources Information Center
Eichler, Jack F.; Patrick, Heather; Harmon, Brenda; Coonce, Janet
2007-01-01
Several active-learning techniques and inquiry-driven laboratory exercises were incorporated in labs to determine the effects of these methodologies on the fundamental skills of the students. The practice has been found extremely useful for developing the learning abilities of the students.
Chalk it up to experience: using chalkboard paint to create mathematical manipulatives
NASA Astrophysics Data System (ADS)
Young, Andrea; Bruhns, Kathryn
2016-08-01
In this article, we give two examples of creating portable chalkboards using chalkboard paint for students to use during cooperative learning. This provides a creative method for professors to facilitate active learning in the undergraduate mathematics classroom.
Dixon, Steven L; Duan, Jianxin; Smith, Ethan; Von Bargen, Christopher D; Sherman, Woody; Repasky, Matthew P
2016-10-01
We introduce AutoQSAR, an automated machine-learning application to build, validate and deploy quantitative structure-activity relationship (QSAR) models. The process of descriptor generation, feature selection and the creation of a large number of QSAR models has been automated into a single workflow within AutoQSAR. The models are built using a variety of machine-learning methods, and each model is scored using a novel approach. Effectiveness of the method is demonstrated through comparison with literature QSAR models using identical datasets for six end points: protein-ligand binding affinity, solubility, blood-brain barrier permeability, carcinogenicity, mutagenicity and bioaccumulation in fish. AutoQSAR demonstrates similar or better predictive performance as compared with published results for four of the six endpoints while requiring minimal human time and expertise.
A ranking method for the concurrent learning of compounds with various activity profiles.
Dörr, Alexander; Rosenbaum, Lars; Zell, Andreas
2015-01-01
In this study, we present a SVM-based ranking algorithm for the concurrent learning of compounds with different activity profiles and their varying prioritization. To this end, a specific labeling of each compound was elaborated in order to infer virtual screening models against multiple targets. We compared the method with several state-of-the-art SVM classification techniques that are capable of inferring multi-target screening models on three chemical data sets (cytochrome P450s, dehydrogenases, and a trypsin-like protease data set) containing three different biological targets each. The experiments show that ranking-based algorithms show an increased performance for single- and multi-target virtual screening. Moreover, compounds that do not completely fulfill the desired activity profile are still ranked higher than decoys or compounds with an entirely undesired profile, compared to other multi-target SVM methods. SVM-based ranking methods constitute a valuable approach for virtual screening in multi-target drug design. The utilization of such methods is most helpful when dealing with compounds with various activity profiles and the finding of many ligands with an already perfectly matching activity profile is not to be expected.
NASA Astrophysics Data System (ADS)
Dolfin, Marina
2016-03-01
The interesting novelty of the paper by Burini et al. [1] is that the authors present a survey and a new approach of collective learning based on suitable development of methods of the kinetic theory [2] and theoretical tools of evolutionary game theory [3]. Methods of statistical dynamics and kinetic theory lead naturally to stochastic and collective dynamics. Indeed, the authors propose the use of games where the state of the interacting entities is delivered by probability distributions.
ERIC Educational Resources Information Center
Ward, Peter J.; Walker, James J.
2008-01-01
The purpose of this investigation was to quantitatively and qualitatively identify the study methods and learning strategies that veterinary students used to study anatomy during their first year of professional school and to correlate these with their academic achievement and long-term recall of information. It was surmised that active study…
Effect of Book Reading Method upon Attitudes of Students towards Learning and Reading Habit
ERIC Educational Resources Information Center
Ahmet, Kara; Ali, Ünisen; Eyup, Izci
2015-01-01
The purpose of this study was to determine the effect of lessons trained through large group discussion method in a classroom environment during 10-15 min at the end of silent book reading activity for the first thirty minutes during a term upon attitudes of students towards learning and reading habit. The research was carried out with totally 89…
Takeda, Kayoko; Takahashi, Kiyoshi; Masukawa, Hiroyuki; Shimamori, Yoshimitsu
2017-01-01
Recently, the practice of active learning has spread, increasingly recognized as an essential component of academic studies. Classes incorporating small group discussion (SGD) are conducted at many universities. At present, assessments of the effectiveness of SGD have mostly involved evaluation by questionnaires conducted by teachers, by peer assessment, and by self-evaluation of students. However, qualitative data, such as open-ended descriptions by students, have not been widely evaluated. As a result, we have been unable to analyze the processes and methods involved in how students acquire knowledge in SGD. In recent years, due to advances in information and communication technology (ICT), text mining has enabled the analysis of qualitative data. We therefore investigated whether the introduction of a learning system comprising the jigsaw method and problem-based learning (PBL) would improve student attitudes toward learning; we did this by text mining analysis of the content of student reports. We found that by applying the jigsaw method before PBL, we were able to improve student attitudes toward learning and increase the depth of their understanding of the area of study as a result of working with others. The use of text mining to analyze qualitative data also allowed us to understand the processes and methods by which students acquired knowledge in SGD and also changes in students' understanding and performance based on improvements to the class. This finding suggests that the use of text mining to analyze qualitative data could enable teachers to evaluate the effectiveness of various methods employed to improve learning.
Inquiry-based Laboratory Activities on Drugs Analysis for High School Chemistry Learning
NASA Astrophysics Data System (ADS)
Rahmawati, I.; Sholichin, H.; Arifin, M.
2017-09-01
Laboratory activity is an important part of chemistry learning, but cookbook instructions is still commonly used. However, the activity with that way do not improve students thinking skill, especially students creativity. This study aims to improve high school students creativity through inquiry-based laboratory on drugs analysis activity. Acid-base titration is used to be method for drugs analysis involving a color changing indicator. The following tools were used to assess the activity achievement: creative thinking test on acid base titration, creative attitude and action observation sheets, questionnaire of inquiry-based lab activities, and interviews. The results showed that the inquiry-based laboratory activity improving students creative thinking, creative attitude and creative action. The students reacted positively to this teaching strategy as demonstrated by results from questionnaire responses and interviews. This result is expected to help teachers to overcome the shortcomings in other laboratory learning.
ERIC Educational Resources Information Center
Smith, Martha
2010-01-01
Take plant lessons outdoors with this engaging and inquiry-based activity in which third-grade students learn how to apply soil conservation methods to growing plants. They also collect data and draw conclusions about the effectiveness of their method of soil conservation. An added benefit to this activity is that the third-grade students played…
Does Active Learning Improve Students' Knowledge of and Attitudes toward Research Methods?
ERIC Educational Resources Information Center
Campisi, Jay; Finn, Kevin E.
2011-01-01
We incorporated an active, collaborative-based research project in our undergraduate Research Methods course for first-year sports medicine majors. Working in small groups, students identified a research question, generated a hypothesis to be tested, designed an experiment, implemented the experiment, analyzed the data, and presented their…
Perceptions of Teaching Methods for Preclinical Oral Surgery: A Comparison with Learning Styles
Omar, Esam
2017-01-01
Purpose: Dental extraction is a routine part of clinical dental practice. For this reason, understanding the way how students’ extraction knowledge and skills development are important. Problem Statement and Objectives: To date, there is no accredited statement about the most effective method for the teaching of exodontia to dental students. Students have different abilities and preferences regarding how they learn and process information. This is defined as learning style. In this study, the effectiveness of active learning in the teaching of preclinical oral surgery was examined. The personality type of the groups involved in this study was determined, and the possible effect of personality type on learning style was investigated. Method: This study was undertaken over five years from 2011 to 2015. The sample consisted of 115 students and eight staff members. Questionnaires were submitted by 68 students and all eight staff members involved. Three measures were used in the study: The Index of Learning Styles (Felder and Soloman, 1991), the Myers-Briggs Type Indicator (MBTI), and the styles of learning typology (Grasha and Hruska-Riechmann). Results and Discussion: Findings indicated that demonstration and minimal clinical exposure give students personal validation. Frequent feedback on their work is strongly indicated to build the cognitive, psychomotor, and interpersonal skills needed from preclinical oral surgery courses. Conclusion: Small group cooperative active learning in the form of demonstration and minimal clinical exposure that gives frequent feedback and students’ personal validation on their work is strongly indicated to build the skills needed for preclinical oral surgery courses. PMID:28357004
Active Learning in an Introductory Meteorology Class
NASA Astrophysics Data System (ADS)
Marchese, P. J.; Bluestone, C.
2007-12-01
Active learning modules were introduced to the primarily minority population in the introductory meteorology class at Queensborough Community College (QCC). These activities were developed at QCC and other 4 year colleges and designed to reinforce basic meteorological concepts. The modules consisted of either Interactive Lecture Demonstrations (ILD) or discovery-based activities. During the ILD the instructor would describe an experiment that would be demonstrated in class. Students would predict what the outcome would be and compare their expected results to the actual outcome of the experiment. In the discovery-based activities students would learn about physical concepts by performing basic experiments. These activities differed from the traditional lab in that it avoided "cookbook" procedures and emphasized having the students learn about the concept using the scientific method. As a result of these activities student scores measuring conceptual understanding, as well as factual knowledge, increased as compared to student scores in a more affluent community college. Students also had higher self- efficacy scores. Lower scoring students demonstrated the greatest benefit, while the better students had little (or no) changes.
Haj-Ali, Reem; Al Quran, Firas
2013-03-01
The purpose of this article is to describe the implementation of a team-based learning (TBL) approach in a removable denture prosthesis (RDP) module and present the results of students' performance in individual and group TBL activities and exam scores, students' experience with TBL and end of course evaluations, and faculty feedback. Course material at the College of Dentistry, University of Sharjah, United Arab Emirates, was transformed into seven conventional lectures and seven TBL sessions. Each TBL session consisted of pre-assigned reading (self-directed learning), in-class individual and group readiness tests (accountability), team problem-solving of patient RDP cases, and faculty-led class discussion (knowledge application). The course was assessed through scores from TBL session activities and course examinations, student satisfaction survey, and faculty feedback. Course grades were found to be higher using the TBL method then the traditional lecture-based method. Student evaluation data and faculty response indicated strong support for TBL as it was implemented in the course. The faculty noted a higher level of student engagement with team learning than in conventional class lecturing. TBL is an active-learning instructional strategy for courses with high student-to-faculty ratios. This approach provides regular feedback and the opportunity for students to develop higher reasoning skills.
Doucet, Michèle; Vrins, André; Harvey, Denis
2009-12-01
Teaching methods that provide an opportunity for individual engagement and focussed feedback are required to create an active learning environment for case-based teaching in large groups. A prospective observational controlled study was conducted to evaluate whether the use of an audience response system (ARS) would promote an active learning environment during case-based discussions in large groups, have an impact on student motivation and improve long-term retention. Group A (N = 83) participated in large group case discussions where student participation was voluntary, while for group B (N = 86) an ARS was used. Data collection methods included student and teacher surveys, student focus group interviews, independent observations and 1-year post-course testing. Results indicated that the use of an ARS provided an active learning environment during case-based discussions in large groups by favouring engagement, observation and critical reflection and by increasing student and teacher motivation. Although final exam results were significantly improved in group B, long-term retention was not significantly different between groups. It was concluded that ARS use significantly improved the learning experience associated with case-based discussions in a large group of undergraduate students.
ERIC Educational Resources Information Center
Kuwan, Helmut; Larsson, Ann-Charlotte
2008-01-01
Policy interest in international surveys on Adult Learning (AL) has increased strongly. AL survey data are used as benchmarks for a country's educational system. However, results of key indicators like participation in learning activities often vary remarkably between different data sources. Stating that these differences are due to varying…
NASA Astrophysics Data System (ADS)
Gafford, Kenneth Allen
The differences between two experimental groups using cooperative learning activities were examined during the initial eight weeks of a biology course. While both groups participated in the same cooperative learning activities, only one group received deliberate instructor interventions. These interventions were designed to help students think positively about working in cooperative learning groups while alleviating anxiety toward cooperative learning. Initially, all students were uncomfortable and reported trouble staying focused during cooperative learning. The final quantitative results indicated that the group who received the interventions had more positive perceptions toward cooperative learning but their attitudes and anxiety levels showed no significant difference from the non-intervention group; advantages occurred specifically for thinking on task, student engagement, perceptions of task importance, and best levels of challenge and skill. Intervention participants had a higher mean score on the class exam administered during the eight-week study but it was not significantly different. Qualitative data revealed that the intervention participants experienced greater overall consequence, mainly in the areas of engagement, believed skill, and self-worth. According to flow theory, when students are actively engaged, the probability of distraction by fears and unrelated ideas is reduced, for instance, how they are perceived by others. These findings corroborate constructivist theories, particularly the ones relative to students working in cooperative groups. Researchers should continue to use appropriate methods to further explore how students of various abilities and developmental levels are affected by their perceptions, attitudes, and anxieties relative to different instructional contexts. Given the highly contextual nature of students' learning and motivation, researchers need to examine a number of meaningful questions by comparing students' perceptions, attitudes, and anxieties toward cooperative learning with other methods of instruction.
Badiyepeymaie Jahromi, Zohreh; Mosalanejad, Leili
2015-01-14
Web Quest is one of the new ways of teaching and learning that is based on research, and includes the principles of learning and cognitive activities, such as collaborative learning, social and cognitive learning, and active learning, and increases motivation. The aim of this study is to evaluate the Web Quest influence on students' learning behaviors. In this quasi-experimental study, which was performed on undergraduates taking a psychiatric course at Jahrom University of Medical Sciences, simple sampling was used to select the cases to be studied; the students entered the study through census and were trained according to Web Quest methodology. The procedure was to present the course as a case study and team work. Each topic included discussing concepts and then patient's treatment and the communicative principles for two weeks. Active participation of the students in response to the scenario and introduced problem was equal to preparing scientific videos about the disease and collecting the latest medical treatment for the disease from the Internet.Three questionnaires, including the self-directed learning Questionnaire, teamwork evaluation Questionnaire (value of team), and Buffard self-regulated Questionnaire, were the data gathering tools. The results showed that the average of self-regulated learning and self-directed learning (SDL) increased after the educational intervention. However, the increase was not significant. On the other hand, problem solving (P=0.001) and the value of teamwork (P=0.002), apart from increasing the average, had significant statistical values. In view of Web Quest's positive impacts on students' learning behaviors, problem solving and teamwork, the effective use of active learning and teaching practices and use of technology in medical education are recommended.
Lom, Barbara
2012-01-01
The traditional science lecture, where an instructor delivers a carefully crafted monolog to a large audience of students who passively receive the information, has been a popular mode of instruction for centuries. Recent evidence on the science of teaching and learning indicates that learner-centered, active teaching strategies can be more effective learning tools than traditional lectures. Yet most colleges and universities retain lectures as their central instructional method. This article highlights several simple collaborative teaching techniques that can be readily deployed within traditional lecture frameworks to promote active learning. Specifically, this article briefly introduces the techniques of: reader’s theatre, think-pair-share, roundtable, jigsaw, in-class quizzes, and minute papers. Each technique is broadly applicable well beyond neuroscience courses and easily modifiable to serve an instructor’s specific pedagogical goals. The benefits of each technique are described along with specific examples of how each technique might be deployed within a traditional lecture to create more active learning experiences. PMID:23494568
Assessing the Impact of Student Learning Style Preferences
NASA Astrophysics Data System (ADS)
Davis, Stacey M.; Franklin, Scott V.
2004-09-01
Students express a wide range of preferences for learning environments. We are trying to measure the manifestation of learning styles in various learning environments. In particular, we are interested in performance in an environment that disagrees with the expressed learning style preference, paying close attention to social (group vs. individual) and auditory (those who prefer to learn by listening) environments. These are particularly relevant to activity-based curricula which typically emphasize group-work and de-emphasize lectures. Our methods include multiple-choice assessments, individual student interviews, and a study in which we attempt to isolate the learning environment.
ERIC Educational Resources Information Center
Carlson, Kerri; Celotta, Dayius Turvold; Curran, Erin; Marcus, Mithra; Loe, Melissa
2016-01-01
There has been a national call to transition away from the traditional, passive, lecture-based model of STEM education towards one that facilitates learning through active engagement and problem solving. This mixed-methods research study examines the impact of a supplemental Peer-Led Team Learning (PLTL) program on knowledge and skill acquisition…
ERIC Educational Resources Information Center
Papinczak, Tracey; Young, Louise; Groves, Michele; Haynes, Michele
2008-01-01
Aim: To determine the influence of metacognitive activities within the PBL tutorial environment on the development of deep learning approach, reduction in surface approach, and enhancement of individual learning self-efficacy. Method: Participants were first-year medical students (N = 213). A pre-test, post-test design was implemented with…
Effect of Group Work on EFL Students' Attitudes and Learning in Higher Education
ERIC Educational Resources Information Center
Taqi, Hanan A.; Al-Nouh, Nowreyah A.
2014-01-01
The use of group work in classroom activities is a method used for motivating learning and increasing the idea of pleasure through learning. The current study investigates the advantages of group work in exams in the English department, in the College of Basic Education. 40 students in two classes of "The Introduction of Phonetics and…