Evaluation of an Interactive Case-Based Online Network (ICON) in a Problem Based Learning Environment

ERIC Educational Resources Information Center

Nathoo, Arif N.; Goldhoff, Patricia; Quattrochi, James J.

2005-01-01

Purpose: This study sought to assess the introduction of a web-based innovation in medical education that complements traditional problem-based learning curricula. Utilizing the case method as its fundamental educational approach, the Interactive Case-based Online Network (ICON) allows students to interact with each other, faculty and a virtual…

A Comparison of Classroom and Online Asynchronous Problem-Based Learning for Students Undertaking Statistics Training as Part of a Public Health Masters Degree

ERIC Educational Resources Information Center

de Jong, N.; Verstegen, D. M. L.; Tan, F. E. S.; O'Connor, S. J.

2013-01-01

This case-study compared traditional, face-to-face classroom-based teaching with asynchronous online learning and teaching methods in two sets of students undertaking a problem-based learning module in the multilevel and exploratory factor analysis of longitudinal data as part of a Masters degree in Public Health at Maastricht University. Students…

Teaching Problem-Solving and Critical-Thinking Skills Online Using Problem-Based Learning

ERIC Educational Resources Information Center

Romero, Liz; Orzechowski, Agnes; Rahatka, Ola

2014-01-01

The availability of technological tools is promoting a shift toward more student-centered online instruction. This article describes the implementation of a Problem-Based Learning (PBL) model and the technological tools used to meet the expectations of the model as well as the needs of the students. The end product is a hybrid course with eight…

Problem solving strategies used by RN-to-BSN students in an online problem-based learning course.

PubMed

Oldenburg, Nancy L; Hung, Wei-Chen

2010-04-01

It is essential that nursing students develop the problem solving and critical thinking skills required in the current health care environment. Problem-based learning has been promoted as a way to help students acquire those skills; however, gaps exist in the knowledge base of the strategies used by learners. The purpose of this case study was to gain insight into the problem solving experience of a group of six RN-to-BSN students in an online problem-based learning course. Data, including discussion transcripts, reflective papers, and interview transcripts, were analyzed using a qualitative approach. Students expanded their use of resources and resolved the cases, identifying relevant facts and clinical applications. They had difficulty communicating their findings, establishing the credibility of sources, and offering challenging feedback. Increased support and direction are needed to facilitate the development of problem solving abilities of students in the problem-based learning environment.

Problem-Based Learning in Online Environments

ERIC Educational Resources Information Center

An, Yun-Jo; Reigeluth, Charles M.

2008-01-01

This study examined 3 graduate-level online courses that utilized problem-based learning (PBL), considering each course as a case. Beyond describing how PBL was implemented in each case, this study identified what worked (strengths) and did not work (weaknesses) in the PBL and explored how the PBL could be improved (improvements) by collecting…

Instructional Designers' Media Selection Practices for Distributed Problem-Based Learning Environments

ERIC Educational Resources Information Center

Fells, Stephanie

2012-01-01

The design of online or distributed problem-based learning (dPBL) is a nascent, complex design problem. Instructional designers are challenged to effectively unite the constructivist principles of problem-based learning (PBL) with appropriate media in order to create quality dPBL environments. While computer-mediated communication (CMC) tools and…

A comparison of classroom and online asynchronous problem-based learning for students undertaking statistics training as part of a Public Health Masters degree.

PubMed

de Jong, N; Verstegen, D M L; Tan, F E S; O'Connor, S J

2013-05-01

This case-study compared traditional, face-to-face classroom-based teaching with asynchronous online learning and teaching methods in two sets of students undertaking a problem-based learning module in the multilevel and exploratory factor analysis of longitudinal data as part of a Masters degree in Public Health at Maastricht University. Students were allocated to one of the two study variants on the basis of their enrolment status as full-time or part-time students. Full-time students (n = 11) followed the classroom-based variant and part-time students (n = 12) followed the online asynchronous variant which included video recorded lectures and a series of asynchronous online group or individual SPSS activities with synchronous tutor feedback. A validated student motivation questionnaire was administered to both groups of students at the start of the study and a second questionnaire was administered at the end of the module. This elicited data about student satisfaction with the module content, teaching and learning methods, and tutor feedback. The module coordinator and problem-based learning tutor were also interviewed about their experience of delivering the experimental online variant and asked to evaluate its success in relation to student attainment of the module's learning outcomes. Student examination results were also compared between the two groups. Asynchronous online teaching and learning methods proved to be an acceptable alternative to classroom-based teaching for both students and staff. Educational outcomes were similar for both groups, but importantly, there was no evidence that the asynchronous online delivery of module content disadvantaged part-time students in comparison to their full-time counterparts.

Research on Model of Student Engagement in Online Learning

ERIC Educational Resources Information Center

Peng, Wang

2017-01-01

In this study, online learning refers students under the guidance of teachers through the online learning platform for organized learning. Based on the analysis of related research results, considering the existing problems, the main contents of this paper include the following aspects: (1) Analyze and study the current student engagement model.…

Exploring the Use of Three-Dimensional Multi-User Virtual Environments for Online Problem-Based Learning

ERIC Educational Resources Information Center

Omale, Nicholas M.

2010-01-01

This exploratory case study examines how three media attributes in 3-D MUVEs--avatars, 3-D spaces and bubble dialogue boxes--affect interaction in an online problem-based learning (PBL) activity. The study participants were eleven undergraduate students enrolled in a 200-level, three-credit-hour technology integration course at a Midwestern…

Online Problem-Based Learning in Postgraduate Medical Education--Content Analysis of Reflection Comments

ERIC Educational Resources Information Center

Gonzalez, Maria L.; Salmoni, Alan J.

2008-01-01

We developed the Med-e-Conference, an online tool to teach clinical skills to medical students, which integrated problem-based learning with collaborative group tasks. The final task asked students to consider what they had done (reflection). These comments were analysed using content analysis, and 10 themes were elicited. The number of agreements…

The Role of Technology-Based Scaffolding in Problem-Based Online Asynchronous Discussion

ERIC Educational Resources Information Center

Ak, Serife

2016-01-01

This study examined the effects of technology-based scaffolds that were composed through the use of the seven-stage, problem-based learning strategy on knowledge construction in a problem-based online asynchronous discussion. In a quasi-experimental setting, 60 students in an undergraduate Instructional Technology and Material Design course were…

Teaching renewable energy using online PBL in investigating its effect on behaviour towards energy conservation among Malaysian students: ANOVA repeated measures approach

NASA Astrophysics Data System (ADS)

Nordin, Norfarah; Samsudin, Mohd Ali; Hadi Harun, Abdul

2017-01-01

This research aimed to investigate whether online problem based learning (PBL) approach to teach renewable energy topic improves students’ behaviour towards energy conservation. A renewable energy online problem based learning (REePBaL) instruction package was developed based on the theory of constructivism and adaptation of the online learning model. This study employed a single group quasi-experimental design to ascertain the changed in students’ behaviour towards energy conservation after underwent the intervention. The study involved 48 secondary school students in a Malaysian public school. ANOVA Repeated Measure technique was employed in order to compare scores of students’ behaviour towards energy conservation before and after the intervention. Based on the finding, students’ behaviour towards energy conservation improved after the intervention.

Online selective kernel-based temporal difference learning.

PubMed

Chen, Xingguo; Gao, Yang; Wang, Ruili

2013-12-01

In this paper, an online selective kernel-based temporal difference (OSKTD) learning algorithm is proposed to deal with large scale and/or continuous reinforcement learning problems. OSKTD includes two online procedures: online sparsification and parameter updating for the selective kernel-based value function. A new sparsification method (i.e., a kernel distance-based online sparsification method) is proposed based on selective ensemble learning, which is computationally less complex compared with other sparsification methods. With the proposed sparsification method, the sparsified dictionary of samples is constructed online by checking if a sample needs to be added to the sparsified dictionary. In addition, based on local validity, a selective kernel-based value function is proposed to select the best samples from the sample dictionary for the selective kernel-based value function approximator. The parameters of the selective kernel-based value function are iteratively updated by using the temporal difference (TD) learning algorithm combined with the gradient descent technique. The complexity of the online sparsification procedure in the OSKTD algorithm is O(n). In addition, two typical experiments (Maze and Mountain Car) are used to compare with both traditional and up-to-date O(n) algorithms (GTD, GTD2, and TDC using the kernel-based value function), and the results demonstrate the effectiveness of our proposed algorithm. In the Maze problem, OSKTD converges to an optimal policy and converges faster than both traditional and up-to-date algorithms. In the Mountain Car problem, OSKTD converges, requires less computation time compared with other sparsification methods, gets a better local optima than the traditional algorithms, and converges much faster than the up-to-date algorithms. In addition, OSKTD can reach a competitive ultimate optima compared with the up-to-date algorithms.

An Electronic Library-Based Learning Environment for Supporting Web-Based Problem-Solving Activities

ERIC Educational Resources Information Center

Tsai, Pei-Shan; Hwang, Gwo-Jen; Tsai, Chin-Chung; Hung, Chun-Ming; Huang, Iwen

2012-01-01

This study aims to develop an electronic library-based learning environment to support teachers in developing web-based problem-solving activities and analyzing the online problem-solving behaviors of students. Two experiments were performed in this study. In study 1, an experiment on 103 elementary and high school teachers (the learning activity…

Designing Online Learning Communities of Practice: A Democratic Perspective

ERIC Educational Resources Information Center

Sorensen, Elsebeth Korsgaard; Murchu, Daithi O.

2004-01-01

This study addresses the problem of designing an appropriate learning space or architecture for distributed online courses using net-based communication technologies. We apply Wenger's criteria to explore, identify and discuss the design architectures of two online courses from two comparable online Master's programmes, developed and delivered in…

How Cognitive Styles Affect the Learning Behaviors of Online Problem-Solving Based Discussion Activity: A Lag Sequential Analysis

ERIC Educational Resources Information Center

Wu, Sheng-Yi; Hou, Huei-Tse

2015-01-01

Cognitive styles play an important role in influencing the learning process, but to date no relevant study has been conducted using lag sequential analysis to assess knowledge construction learning patterns based on different cognitive styles in computer-supported collaborative learning activities in online collaborative discussions. This study…

Student Experiences of Problem-Based Learning in Pharmacy: Conceptions of Learning, Approaches to Learning and the Integration of Face-to-Face and On-Line Activities

ERIC Educational Resources Information Center

Ellis, Robert A.; Goodyear, Peter; Brillant, Martha; Prosser, Michael

2008-01-01

This study investigates fourth-year pharmacy students' experiences of problem-based learning (PBL). It adopts a phenomenographic approach to the evaluation of problem-based learning, to shed light on the ways in which different groups of students conceive of, and approach, PBL. The study focuses on the way students approach solving problem…

Evaluation of Health Profession Student Attitudes toward an Online Nutrition Education Problem-Based Learning Module

ERIC Educational Resources Information Center

Gould, Kathleen; Sadera, William

2015-01-01

The intent of problem-based learning (PBL) is to increase student motivation to learn, to promote critical thinking and to teach students to learn with complexity. PBL encourages students to understand that there are no straightforward answers and that problem solutions depend on context. This paper discusses the experience of undergraduate health…

Developing Online Problem-Based Resources for the Professional Development of Teachers of Children with Visual Impairment

ERIC Educational Resources Information Center

McLinden, Mike; McCall, Steve; Hinton, Danielle; Weston, Annette; Douglas, Graeme

2006-01-01

This article presents a summary of the results from phase 1 of a two-phase research project. Drawing on the principles of problem-based learning (PBL), the aims of phase 1 were to design, develop and evaluate a set of flexible online teaching resources for use within a virtual learning environment. Participants in the project (n = 10) were…

Problem-based learning in an on-line biotechnology course

NASA Astrophysics Data System (ADS)

Cheaney, James Daniel

Problem-based learning (PBL) is a pedagogical tool that uses a "real world" problem or situation as a context for learning. PBL encourages student development of critical thinking skills, a high professional competency, problem-solving ability, knowledge acquisition, the ability to work productively as a team member and make decisions in unfamiliar situations, and the acquisition of skills that support self-directed life-long learning, metacognition, and adaptation to change. However, little research has focused on the use of PBL in on-line "virtual" classes. We conducted two studies exploring the use of PBL in an on-line biotechnology course. In the first study, ethical, legal, social, and human issues were used as a motivation for learning about DNA testing technologies, applications, and bioethical issues. In the second study, we combined PBL pedagogy with a rich multimedia environment of streaming video interviews, physical artifacts, and extensive links to articles and databases to create a multidimensional immersive PBL environment called "Robert's World". In "Robert's World", a man is determining whether to undergo a pre-symptomatic DNA test for an untreatable, incurable, fatal genetic disease for which he has a family history. In both studies, design and implementation issues of the on-line PBL environment are discussed, as are differences between on-line PBL and face-to-face PBL. Both studies provide evidence to suggest that PBL stimulates higher-order learning in students. However, in both studies, student performance on an exam testing acquisition of lower-order factual learning was lower for PBL students than for students who learned the same material through a traditional lecture-based approach. Possible reasons for this lower level of performance are explored. Student feedback expressed engagement with the issues and material covered, with reservations about some aspects of the PBL format, such as the lack of flexibility provided in cooperative learning. We conclude that on-line PBL is a powerful tool in helping to develop higher-order learning in students. The reasons for the decrease in student understanding of factual information are unclear. However, there are certain circumstances unique to on-line classes to keep in mind when implementing on-line PBL. These are summarized in concluding recommendations.

Using the Constructivist Tridimensional Design Model for Online Continuing Education for Health Care Clinical Faculty

ERIC Educational Resources Information Center

Seo, Kay Kyeong-Ju; Engelhard, Chalee

2014-01-01

This article presents a new paradigm for continuing education of Clinical Instructors (CIs): the Constructivist Tridimensional (CTD) model for the design of an online curriculum. Based on problem-based learning, self-regulated learning, and adult learning theory, the CTD model was designed to facilitate interactive, collaborative, and authentic…

Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking.

PubMed

Bae, Seung-Hwan; Yoon, Kuk-Jin

2018-03-01

Online multi-object tracking aims at estimating the tracks of multiple objects instantly with each incoming frame and the information provided up to the moment. It still remains a difficult problem in complex scenes, because of the large ambiguity in associating multiple objects in consecutive frames and the low discriminability between objects appearances. In this paper, we propose a robust online multi-object tracking method that can handle these difficulties effectively. We first define the tracklet confidence using the detectability and continuity of a tracklet, and decompose a multi-object tracking problem into small subproblems based on the tracklet confidence. We then solve the online multi-object tracking problem by associating tracklets and detections in different ways according to their confidence values. Based on this strategy, tracklets sequentially grow with online-provided detections, and fragmented tracklets are linked up with others without any iterative and expensive association steps. For more reliable association between tracklets and detections, we also propose a deep appearance learning method to learn a discriminative appearance model from large training datasets, since the conventional appearance learning methods do not provide rich representation that can distinguish multiple objects with large appearance variations. In addition, we combine online transfer learning for improving appearance discriminability by adapting the pre-trained deep model during online tracking. Experiments with challenging public datasets show distinct performance improvement over other state-of-the-arts batch and online tracking methods, and prove the effect and usefulness of the proposed methods for online multi-object tracking.

The Role of the e-Tutor in Synchronous Online Problem-Based Learning: A Study in a Master Public Health Programme

ERIC Educational Resources Information Center

de Jong, Nynke; Verstegen, Daniëlle M. L.; Könings, Karen D.

2018-01-01

The aim of this study is to compare the role of the tutor in an online and a face-to-face problem-based learning (PBL) session to shed light on potential differences of the tutor role in both settings. In this practice-based study we compared the two groups with the same tutor undertaking the same module. Students completed questionnaires about…

Designing, implementing and evaluating an online problem-based learning (PBL) environment--a pilot study.

PubMed

Ng, Manwa L; Bridges, Susan; Law, Sam Po; Whitehill, Tara

2014-01-01

Problem-based learning (PBL) has been shown to be effective for promoting student competencies in self-directed and collaborative learning, critical thinking, self-reflection and tackling novel situations. However, the need for face-to-face interactions at the same place and time severely limits the potential of traditional PBL. The requirements of space and for meeting at a specific location at the same time create timetabling difficulties. Such limitations need to be tackled before all potentials of PBL learning can be realized. The present study aimed at designing and implementing an online PBL environment for undergraduate speech/language pathology students, and assessing the associated pedagogical effectiveness. A group of eight PBL students were randomly selected to participate in the study. They underwent 4 weeks of online PBL using Adobe Connect. Upon completion of the experiment, they were assessed via a self-reported questionnaire and quantitative comparison with traditional PBL students based on the same written assignment. The questionnaire revealed that all participating students enjoyed online PBL, without any perceived negative effects on learning. Online PBL unanimously saved the students travel time to and from school. Statistical analysis indicated no significant difference in assignment grades between the online and traditional PBL groups, indicating that online PBL learning appears to be similarly effective as traditional face-to-face PBL learning.

ICT as a Catalyst in Problem-Based Learning Processes? A Comparison of Online and Campus-Based PBL in Swedish Fire-Fighter Training

ERIC Educational Resources Information Center

Holmgren, Robert

2013-01-01

This article focuses on the impact on learning processes when digital technologies are integrated into PBL (problem-based learning) oriented distance training. Based on socio-cultural perspectives on learning and a comparative distance-campus as well as a time-perspective, instructor and student roles, and learning activities were explored.…

Rocket to Creativity: A Field Experience in Problem-Based and Project-Based Learning

ERIC Educational Resources Information Center

Dole, Sharon F.; Bloom, Lisa A.; Doss, Kristy Kowalske

2016-01-01

This article reports the impact of a field experience in problem-based (PBL) and project-based learning (PjBL) on in-service teachers' conceptions of experiential learning. Participants had been enrolled in a hybrid class that included an online component in which they learned about PBL and PjBL, and an experiential component in which they…

Towards Collaboration as Learning: Evaluation of an Open CPD Opportunity for HE Teachers

ERIC Educational Resources Information Center

Nerantzi, Chrissi; Gossman, Peter

2015-01-01

Flexible, Distance and Online Learning (FDOL) is an open online course offered as an informal cross-institutional collaboration based on a postgraduate module in the context of teacher education in higher education. The second iteration, FDOL132, was offered in 2013 using a problem-based learning (PBL) design (FISh) to foster collaborative…

Online Feature Transformation Learning for Cross-Domain Object Category Recognition.

PubMed

Zhang, Xuesong; Zhuang, Yan; Wang, Wei; Pedrycz, Witold

2017-06-09

In this paper, we introduce a new research problem termed online feature transformation learning in the context of multiclass object category recognition. The learning of a feature transformation is viewed as learning a global similarity metric function in an online manner. We first consider the problem of online learning a feature transformation matrix expressed in the original feature space and propose an online passive aggressive feature transformation algorithm. Then these original features are mapped to kernel space and an online single kernel feature transformation (OSKFT) algorithm is developed to learn a nonlinear feature transformation. Based on the OSKFT and the existing Hedge algorithm, a novel online multiple kernel feature transformation algorithm is also proposed, which can further improve the performance of online feature transformation learning in large-scale application. The classifier is trained with k nearest neighbor algorithm together with the learned similarity metric function. Finally, we experimentally examined the effect of setting different parameter values in the proposed algorithms and evaluate the model performance on several multiclass object recognition data sets. The experimental results demonstrate the validity and good performance of our methods on cross-domain and multiclass object recognition application.

Instructional Strategies for Online Introductory College Physics Based on Learning Styles

ERIC Educational Resources Information Center

Ekwue, Eleazer U.

2013-01-01

The practical nature of physics and its reliance on mathematical presentations and problem solving pose a challenge toward presentation of the course in an online environment for effective learning experience. Most first-time introductory college physics students fail to grasp the basic concepts of the course and the problem solving skills if the…

An Evaluation of Resource Development and Dissemination Activities Designed to Promote Problem-Based Learning at the University of Ulster

ERIC Educational Resources Information Center

Hack, Catherine; McKillop, Aine; Sweetman, Sandra; McCormack, Jacqueline

2015-01-01

The transition from traditional instruction to a problem-based approach to learning requires many changes for educators and for students. The aim of this project was to develop an online problem-based learning (PBL) resource centre to provide academic staff from across the University with support in incorporating PBL in their curriculum design.…

Instructional strategies for online introductory college physics based on learning styles

NASA Astrophysics Data System (ADS)

Ekwue, Eleazer U.

The practical nature of physics and its reliance on mathematical presentations and problem solving pose a challenge toward presentation of the course in an online environment for effective learning experience. Most first-time introductory college physics students fail to grasp the basic concepts of the course and the problem solving skills if the instructional strategy used to deliver the course is not compatible with the learners' preferred learning styles. This study investigates the effect of four instructional strategies based on four learning styles (listening, reading, iconic, and direct-experience) to improve learning for introductory college physics in an online environment. Learning styles of 146 participants were determined with Canfield Learning Style inventory. Of the 85 learners who completed the study, research results showed a statistically significant increase in learning performance following the online instruction in all four learning style groups. No statistically significant differences in learning were found among the four groups. However, greater significant academic improvement was found among learners with iconic and direct-experience modes of learning. Learners in all four groups expressed that the design of the unit presentation to match their individual learning styles contributed most to their learning experience. They were satisfied with learning a new physics concept online that, in their opinion, is either comparable or better than an instructor-led classroom experience. Findings from this study suggest that learners' performance and satisfaction in an online introductory physics course could be improved by using instructional designs that are tailored to learners' preferred ways of learning. It could contribute toward the challenge of providing viable online physics instruction in colleges and universities.

Effect of Educational Agent and Its Form Characteristics on Problem Solving Ability Perception of Students in Online Task Based Learning Media

ERIC Educational Resources Information Center

Akyuz, Halil Ibrahim; Keser, Hafize

2015-01-01

The aim of this study is to investigate the effect of an educational agent, used in online task based learning media, and its form characteristics on problem solving ability perceptions of students. 2x2 factorial design is used in this study. The first study factor is the role of the educational agent and the second factor is form characteristics…

Assessing the Role of Online Technologies in Project-Based Learning

ERIC Educational Resources Information Center

Ravitz, Jason; Blazevski, Juliane

2014-01-01

This study examines the relationships between teacher-reported use of online resources, and preparedness, implementation challenges, and time spent implementing project- or problem-based learning, or approaches that are similar to what we call "PBL" in general. Variables were measured using self-reports from those who teach in reform…

Motivational Influences of Using Peer Evaluation in Problem-Based Learning in Medical Education

ERIC Educational Resources Information Center

Abercrombie, Sara; Parkes, Jay; McCarty, Teresita

2015-01-01

This study investigates the ways in which medical students' achievement goal orientations (AGO) affect their perceptions of learning and actual learning from an online problem-based learning environment, Calibrated Peer Review™. First, the tenability of a four-factor model (Elliot & McGregor, 2001) of AGO was tested with data collected from…

WebMail versus WebApp: Comparing Problem-Based Learning Methods in a Business Research Methods Course

ERIC Educational Resources Information Center

Williams van Rooij, Shahron

2007-01-01

This study examined the impact of two Problem-Based Learning (PBL) approaches on knowledge transfer, problem-solving self-efficacy, and perceived learning gains among four intact classes of adult learners engaged in a group project in an online undergraduate business research methods course. With two of the classes using a text-only PBL workbook…

Evaluation of Intelligent Grouping Based on Learners' Collaboration Competence Level in Online Collaborative Learning Environment

ERIC Educational Resources Information Center

Muuro, Maina Elizaphan; Oboko, Robert; Wagacha, Waiganjo Peter

2016-01-01

In this paper we explore the impact of an intelligent grouping algorithm based on learners' collaborative competency when compared with (a) instructor based Grade Point Average (GPA) method level and (b) random method, on group outcomes and group collaboration problems in an online collaborative learning environment. An intelligent grouping…

Teacher-Student Perspectives of Invisible Pedagogy: New Directions in Online Problem-Based Learning Environments

ERIC Educational Resources Information Center

Barber, Wendy; King, Sherry

2016-01-01

Universities and institutions of higher education are facing economic pressures to sustain large classes, while simultaneously maintaining the quality of the online learning environment (Deming et al., 2015). Digital learning environments require significant pedagogical shifts on the part of the teacher. This paper is a qualitative examination of…

Online Project-Based Learning: How Collaborative Strategies and Problem Solving Processes Impact Performance

ERIC Educational Resources Information Center

Thomas, W. Randall; Macgregor, S. Kim

2005-01-01

The goal of this study was to gain insights into the interactions that occur in online communications in a project-based learning activity implemented in an undergraduate course. A multi-case study was conducted of six collaborative groups, focusing on the types and frequencies of interactions that occurred within each group and the perceptions…

Is blended learning and problem-based learning course design suited to develop future public health leaders? An explorative European study.

PubMed

Könings, Karen D; de Jong, Nynke; Lohrmann, Christa; Sumskas, Linas; Smith, Tony; O'Connor, Stephen J; Spanjers, Ingrid A E; Van Merriënboer, Jeroen J G; Czabanowska, Katarzyna

2018-01-01

Public health leaders are confronted with complex problems, and developing effective leadership competencies is essential. The teaching of leadership is still not common in public health training programs around the world. A reconceptualization of professional training is needed and can benefit from innovative educational approaches. Our aim was to explore learners' perceptions of the effectiveness and appeal of a public health leadership course using problem-based, blended learning methods that used virtual learning environment technologies. In this cross-sectional evaluative study, the Self-Assessment Instrument of Competencies for Public Health Leaders was administered before and after an online, blended-learning, problem-based (PBL) leadership course. An evaluation questionnaire was also used to measure perceptions of blended learning, problem-based learning, and tutor functioning among 19 public health professionals from The Netherlands ( n  = 8), Lithuania ( n  = 5), and Austria ( n  = 6).Participants showed overall satisfaction and knowledge gains related to public health leadership competencies in six of eight measured areas, especially Political Leadership and Systems Thinking. Some perceptions of blended learning and PBL varied between the institutions. This might have been caused by lack of experience of the educational approaches, differing professional backgrounds, inexperience of communicating in the online setting, and different expectations towards the course. Blended, problem-based learning might be an effective way to develop leadership competencies among public health professionals in international and interdisciplinary context.

A Solution-Based Intelligent Tutoring System Integrated with an Online Game-Based Formative Assessment: Development and Evaluation

ERIC Educational Resources Information Center

Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Abdollahi, Abbas; Horng, Shi-Jinn; Lim, Heuiseok

2016-01-01

Nowadays, intelligent tutoring systems are considered an effective research tool for learning systems and problem-solving skill improvement. Nonetheless, such individualized systems may cause students to lose learning motivation when interaction and timely guidance are lacking. In order to address this problem, a solution-based intelligent…

Being Online Peer Supported: Experiences from a Work-Based Learning Programme

ERIC Educational Resources Information Center

Altinay Aksal, Fahriye; Altinay, Zehra; De Rossi, Gazivalerio; Isman, Aytekin

2012-01-01

Problem Statement: Work-based learning programmes have become an increasingly popular way of fulfilling the desire for life-long learning; multi-dimensional work-based learning modes have recently played a large role in both personal and institutional development. The peculiarity of this innovative way of learning derives from the fact that…

Investigating ICT Using Problem-Based Learning in Face-to-Face and Online Learning Environments

ERIC Educational Resources Information Center

Pearson, John

2006-01-01

This article reports on the design, implementation and evaluation of a module in the MEd (Business) in the Faculty of Education at the University of Hong Kong in which an explicit problem-based learning (PBL) approach was used to investigate the challenges associated with the adoption and use of information and communication technologies (ICT) in…

Video diaries on social media: Creating online communities for geoscience research and education

NASA Astrophysics Data System (ADS)

Tong, V.

2013-12-01

Making video clips is an engaging way to learn and teach geoscience. As smartphones become increasingly common, it is relatively straightforward for students to produce ';video diaries' by recording their research and learning experience over the course of a science module. Instead of keeping the video diaries for themselves, students may use the social media such as Facebook for sharing their experience and thoughts. There are some potential benefits to link video diaries and social media in pedagogical contexts. For example, online comments on video clips offer useful feedback and learning materials to the students. Students also have the opportunity to engage in geoscience outreach by producing authentic scientific contents at the same time. A video diary project was conducted to test the pedagogical potential of using video diaries on social media in the context of geoscience outreach, undergraduate research and teaching. This project formed part of a problem-based learning module in field geophysics at an archaeological site in the UK. The project involved i) the students posting video clips about their research and problem-based learning in the field on a daily basis; and ii) the lecturer building an online outreach community with partner institutions. In this contribution, I will discuss the implementation of the project and critically evaluate the pedagogical potential of video diaries on social media. My discussion will focus on the following: 1) Effectiveness of video diaries on social media; 2) Student-centered approach of producing geoscience video diaries as part of their research and problem-based learning; 3) Learning, teaching and assessment based on video clips and related commentaries posted on Facebook; and 4) Challenges in creating and promoting online communities for geoscience outreach through the use of video diaries. I will compare the outcomes from this study with those from other pedagogical projects with video clips on geoscience, and evaluate the concept of ';networked public engagement' based on online video diaries.

Online or not? A comparison of students' experiences of an online and an on-campus class.

PubMed

Mgutshini, Tennyson

2013-03-18

Educational discourse has long portrayed online, or e-based, learning and all non-campus-based learning options as second best to traditional face-to-face options. Critically much of the research and debate in this area of study has focused on evidence relating to student performance, attrition and retention with little consideration of the total learning experience, which values both the traditional learning outcome measures side-by-side with student-centered factors, such as students' satisfaction with their learning experience. The objective of this study was to present a synchronous head-to-head comparison between online and campus-based students' experiences of an undergraduate course. This paper reports on a qualitative comparative cross-sectional study, which used multiple data collection approaches to assess student learning and student satisfaction of 61 students who completed a semester of an undergraduate course. Of the 61 students, 34 were enrolled purely as online students, whilst the remaining 27 students studied the same material entirely through the traditional face-to-face medium. Methods included a standardised student satisfaction survey and an 'achievement of learning outcomes' measurement tool. Students on the online cohort performed better in areas where 'self-direction' in learning was indicated, for example self-directed problem-based tasks within the course. Online students gave less positive self-assessments of their perceived content mastery than their campus-based counterparts, despite performing just as well in both summative and formative assignments. A multi-factorial comparison shows online students to have comparable educational success and that, in terms of student satisfaction, online learners reported more satisfaction with their learning experience than their campus-based counterparts.

An Online Game Approach for Improving Students' Learning Performance in Web-Based Problem-Solving Activities

ERIC Educational Resources Information Center

Hwang, Gwo-Jen; Wu, Po-Han; Chen, Chi-Chang

2012-01-01

In this paper, an online game was developed in the form of a competitive board game for conducting web-based problem-solving activities. The participants of the game determined their move by throwing a dice. Each location of the game board corresponds to a gaming task, which could be a web-based information-searching question or a mini-game; the…

The Effect of Agent-Based Lectures on Student Learning and Conceptual Change in an Online Inquiry-Based Learning Environment

ERIC Educational Resources Information Center

Chang, Ju-Yu

2013-01-01

Cognitive load theorists claim that problem-centered instruction is not an effective instruction because it is not compatible with human cognitive structure. They argue that the nature of problem-centered instruction tends to over-load learner working memory capacity. That is why many problem-centered practices fail. To better support students and…

Tracking student progress in a game-like physics learning environment with a Monte Carlo Bayesian knowledge tracing model

NASA Astrophysics Data System (ADS)

Gweon, Gey-Hong; Lee, Hee-Sun; Dorsey, Chad; Tinker, Robert; Finzer, William; Damelin, Daniel

2015-03-01

In tracking student learning in on-line learning systems, the Bayesian knowledge tracing (BKT) model is a popular model. However, the model has well-known problems such as the identifiability problem or the empirical degeneracy problem. Understanding of these problems remain unclear and solutions to them remain subjective. Here, we analyze the log data from an online physics learning program with our new model, a Monte Carlo BKT model. With our new approach, we are able to perform a completely unbiased analysis, which can then be used for classifying student learning patterns and performances. Furthermore, a theoretical analysis of the BKT model and our computational work shed new light on the nature of the aforementioned problems. This material is based upon work supported by the National Science Foundation under Grant REC-1147621 and REC-1435470.

Online virtual-patient cases versus traditional problem-based learning in advanced pharmacy practice experiences.

PubMed

Al-Dahir, Sara; Bryant, Kendrea; Kennedy, Kathleen B; Robinson, Donna S

2014-05-15

To evaluate the efficacy of faculty-led problem-based learning (PBL) vs online simulated-patient case in fourth-year (P4) pharmacy students. Fourth-year pharmacy students were randomly assigned to participate in either online branched-case learning using a virtual simulation platform or a small-group discussion. Preexperience and postexperience student assessments and a survey instrument were completed. While there were no significant differences in the preexperience test scores between the groups, there was a significant increase in scores in both the virtual-patient group and the PBL group between the preexperience and postexperience tests. The PBL group had higher postexperience test scores (74.8±11.7) than did the virtual-patient group (66.5±13.6) (p=0.001). The PBL method demonstrated significantly greater improvement in postexperience test scores than did the virtual-patient method. Both were successful learning methods, suggesting that a diverse approach to simulated patient cases may reach more student learning styles.

Nursing students' perceptions of effective problem-based learning tutors.

PubMed

Matthew-Maich, Nancy; Martin, Lynn; Hammond, Cynthia; Palma, Amy; Pavkovic, Maria; Sheremet, Darlene; Roche, Carmen

2016-11-16

Aim To explore baccalaureate nursing students' perceptions of what makes an effective tutor in problem-based learning courses, and the influence of effective teaching on students' learning and experience. Method Students enrolled in all four years of a baccalaureate nursing programme completed online surveys (n=511) and participated in focus groups (n=19). Data were analysed and combined using content analysis. Findings The data were summarised using five themes, the '5 Ps' of effective teaching in problem-based learning. Nursing students perceived effective problem-based learning tutors to be prepared with knowledge and facilitation skills, person-centred, passionate, professional and able to prepare students for success in the nursing programme. Effective tutors adjusted their approaches to students throughout the four years of the nursing programme. Conclusion Effective teaching in problem-based learning is essential and has significant effects on nursing students' learning, motivation and experience. Important attributes, skills and strategies of effective problem-based learning tutors were identified and may be used to enhance teaching and plan professional development initiatives.

Producing an Online Undergraduate Literary Magazine: A Guide to Using Problem-Based Learning in the Writing and Publishing Classroom

ERIC Educational Resources Information Center

Persichetti, Amy L.

2016-01-01

This article will illustrate how a problem-based learning (PBL) course (Savery, 2006) can be used in a writing program as a vehicle for both creative and preprofessional learning. English 420: Writing, Publishing, and Editing is offered every fall, and its counterpart, English 423: Writing, Publishing, and Editing is offered each spring. The…

Problem-based Learning Using the Online Medicare Part D Plan Finder Tool

PubMed Central

Stebbins, Marilyn R.; Lai, Eric; Smith, Amanda R.; Lipton, Helene Levens

2008-01-01

Objectives To implement didactic and problem-based learning curricular innovations aimed at increasing students' knowledge of Medicare Part D, improving their ability to apply the online Medicare Prescription Drug Plan Finder tool to a patient case, and improving their attitudes toward patient advocacy for Medicare beneficiaries. Methods A survey instrument and a case-based online Medicare Prescription Drug Plan Finder tool exercise were administered to a single group (n = 120) of second-year pharmacy graduate students prior to and following completion of a course on health policy. Three domains (knowledge, skill mastery and attitudes) were measured before and after two 90-minute lectures on Medicare Part D. Results The online Medicare Prescription Drug Plan Finder exercise and Medicare Part D didactic lectures had positive effects on students' knowledge of Part D, attitudes toward patient advocacy, and ability to accurately use the Medicare Prescription Drug Plan Finder tool. Conclusions The success of these didactic and problem-based curricular innovations in improving pharmacy students' knowledge, skills, and attitudes regarding Part D warrants further evaluation to determine their portability to clinical settings and other pharmacy schools. PMID:18698399

Gauging the Gaps in Student Problem-Solving Skills: Assessment of Individual and Group Use of Problem-Solving Strategies Using Online Discussions

ERIC Educational Resources Information Center

Anderson, William L.; Mitchell, Steven M.; Osgood, Marcy P.

2008-01-01

For the past 3 yr, faculty at the University of New Mexico, Department of Biochemistry and Molecular Biology have been using interactive online Problem-Based Learning (PBL) case discussions in our large-enrollment classes. We have developed an illustrative tracking method to monitor student use of problem-solving strategies to provide targeted…

Project-Based Learning with an Online Peer Assessment System in a Photonics Instruction for Enhancing LED Design Skills

ERIC Educational Resources Information Center

Chang, Shu-Hsuan; Wu, Tsung-Chih; Kuo, Yen-Kuang; You, Li-Chih

2012-01-01

This study proposed a novel instructional approach, a two-stage LED simulation of Project-based learning (PBL) course with online peer assessment (OPA), and explored how to apply OPA to the different structured problems in a PBL course to enhance students' professional skills in LED design as well as meta-cognitive thinking. The participants of…

Using a course pilot in the development of an online problem-based learning (PBL) therapeutics course in a post-professional PharmD program.

PubMed

Nagge, Jeff J; Killeen, Rosemary; Jennings, Brad

2018-02-01

To assess whether the traditional problem-based learning (PBL) process can be replicated in an online environment, and to identify any barriers and facilitators to learning using a course pilot. Eight alumni and one experienced tutor participated in a two-week simulated PBL course comprised of two three-hour synchronous online tutorials. Blackboard Collaborate ® software was used to permit audio and visual interaction. The PBL tutorials were recorded and observed by the researchers. Participants completed satisfaction surveys after the pilot, and were invited to take part in a focus group to debrief about their experience. Once the steep learning curve with the technology was overcome, the quality of the PBL process was similar in the online course as it was in the face-to-face course. Several key factors for success were identified through analysis of the videotaped sessions, and interviews with the participants in the course pilot. Conducting a course pilot study demonstrated that an online PBL course is feasible, and identified some considerations to facilitate success. Copyright © 2017 Elsevier Inc. All rights reserved.

Wondering + Online Inquiry = Learning

ERIC Educational Resources Information Center

Sekeres, Diane Carver; Coiro, Julie; Castek, Jill; Guzniczak, Lizabeth A.

2014-01-01

Digital information sources can form the basis of effective inquiry-based learning if teachers construct the information and exercises in ways that will promote collaboration, communication, and problem solving.

A Practical Guide To Developing Effective Web-based Learning

PubMed Central

Cook, David A; Dupras, Denise M

2004-01-01

OBJECTIVE Online learning has changed medical education, but many “educational” websites do not employ principles of effective learning. This article will assist readers in developing effective educational websites by integrating principles of active learning with the unique features of the Web. DESIGN Narrative review. RESULTS The key steps in developing an effective educational website are: Perform a needs analysis and specify goals and objectives; determine technical resources and needs; evaluate preexisting software and use it if it fully meets your needs; secure commitment from all participants and identify and address potential barriers to implementation; develop content in close coordination with website design (appropriately use multimedia, hyperlinks, and online communication) and follow a timeline; encourage active learning (self-assessment, reflection, self-directed learning, problem-based learning, learner interaction, and feedback); facilitate and plan to encourage use by the learner (make website accessible and user-friendly, provide time for learning, and motivate learners); evaluate learners and course; pilot the website before full implementation; and plan to monitor online communication and maintain the site by resolving technical problems, periodically verifying hyperlinks, and regularly updating content. CONCLUSION Teaching on the Web involves more than putting together a colorful webpage. By consistently employing principles of effective learning, educators will unlock the full potential of Web-based medical education. PMID:15209610

Promoting Students' Problem Solving Skills and Knowledge of STEM Concepts in a Data-Rich Learning Environment: Using Online Data as a Tool for Teaching about Renewable Energy Technologies

ERIC Educational Resources Information Center

Thurmond, Brandi

2011-01-01

This study sought to compare a data-rich learning (DRL) environment that utilized online data as a tool for teaching about renewable energy technologies (RET) to a lecture-based learning environment to determine the impact of the learning environment on students' knowledge of Science, Technology, Engineering, and Math (STEM) concepts related…

Learning in 3-D Multiuser Virtual Environments: Exploring the Use of Unique 3-D Attributes for Online Problem-Based Learning

ERIC Educational Resources Information Center

Omale, Nicholas; Hung, Wei-Chen; Luetkehans, Lara; Cooke-Plagwitz, Jessamine

2009-01-01

The purpose of this article is to present the results of a study conducted to investigate how the attributes of 3-D technology such as avatars, 3-D space, and comic style bubble dialogue boxes affect participants' social, cognitive, and teaching presences in a blended problem-based learning environment. The community of inquiry model was adopted…

Cloud Study Investigators: Using NASA's CERES S'COOL in Problem-Based Learning

ERIC Educational Resources Information Center

Moore, Susan; Popiolkowski, Gary

2011-01-01

1This article describes how, by incorporating NASA's Students' Cloud Observations On-Line (S'COOL) project into a problem-based learning (PBL) activity, middle school students are engaged in authentic scientific research where they observe and record information about clouds and contribute ground truth data to NASA's Clouds and the Earth's…

Computer-Based Graphical Displays for Enhancing Mental Animation and Improving Reasoning in Novice Learning of Probability

ERIC Educational Resources Information Center

Kaplan, Danielle E.; Wu, Erin Chia-ling

2006-01-01

Our research suggests static and animated graphics can lead to more animated thinking and more correct problem solving in computer-based probability learning. Pilot software modules were developed for graduate online statistics courses and representation research. A study with novice graduate student statisticians compared problem solving in five…

Creative Multimodal Learning Environments and Blended Interaction for Problem-Based Activity in HCI Education

ERIC Educational Resources Information Center

Ioannou, Andri; Vasiliou, Christina; Zaphiris, Panayiotis; Arh, Tanja; Klobucar, Tomaž; Pipan, Matija

2015-01-01

This exploratory case study aims to examine how students benefit from a multimodal learning environment while they engage in collaborative problem-based activity in a Human Computer Interaction (HCI) university course. For 12 weeks, 30 students, in groups of 5-7 each, participated in weekly face-to-face meetings and online interactions.…

Comparing the Social Knowledge Construction Behavioral Patterns of Problem-Based Online Asynchronous Discussion in E/M-Learning Environments

ERIC Educational Resources Information Center

Lan, Yu-Feng; Tsai, Pei-Wei; Yang, Shih-Hsien; Hung, Chun-Ling

2012-01-01

In recent years, researchers have conducted various studies on applying wireless networking technology and mobile devices in education settings. However, research on behavioral patterns in learners' online asynchronous discussions with mobile devices is limited. The purposes of this study are to develop a mobile learning system, mobile interactive…

Reflective Outcomes of Convergent and Divergent Group Tasking in the Online Learning Environment

ERIC Educational Resources Information Center

Hawkes, Mark

2007-01-01

Using collaborative critical reflection as an index, this study examines the asynchronous and face-to-face discourse of 28 suburban Chicago elementary teachers developing problem based learning (PBL) curriculum. Statistical analysis of the corpus produced by the 2 mediums shows that the asynchronous online network emerges as the medium of choice…

Transactional Distance in a Blended Learning Environment

ERIC Educational Resources Information Center

Dron, Jon; Seidel, Catharine; Litten, Gabrielle

2004-01-01

This paper presents a case study that describes and discusses the problems encountered during the design and implementation of a blended learning course, largely taught online through a web-based learning environment. Based on Moore's theory of transactional distance, the course was explicitly designed to have dialogue at its heart. However, the…

Online Pedagogical Tutorial Tactics Optimization Using Genetic-Based Reinforcement Learning

PubMed Central

Lin, Hsuan-Ta; Lee, Po-Ming; Hsiao, Tzu-Chien

2015-01-01

Tutorial tactics are policies for an Intelligent Tutoring System (ITS) to decide the next action when there are multiple actions available. Recent research has demonstrated that when the learning contents were controlled so as to be the same, different tutorial tactics would make difference in students' learning gains. However, the Reinforcement Learning (RL) techniques that were used in previous studies to induce tutorial tactics are insufficient when encountering large problems and hence were used in offline manners. Therefore, we introduced a Genetic-Based Reinforcement Learning (GBML) approach to induce tutorial tactics in an online-learning manner without basing on any preexisting dataset. The introduced method can learn a set of rules from the environment in a manner similar to RL. It includes a genetic-based optimizer for rule discovery task by generating new rules from the old ones. This increases the scalability of a RL learner for larger problems. The results support our hypothesis about the capability of the GBML method to induce tutorial tactics. This suggests that the GBML method should be favorable in developing real-world ITS applications in the domain of tutorial tactics induction. PMID:26065018

Online Pedagogical Tutorial Tactics Optimization Using Genetic-Based Reinforcement Learning.

PubMed

Lin, Hsuan-Ta; Lee, Po-Ming; Hsiao, Tzu-Chien

2015-01-01

Tutorial tactics are policies for an Intelligent Tutoring System (ITS) to decide the next action when there are multiple actions available. Recent research has demonstrated that when the learning contents were controlled so as to be the same, different tutorial tactics would make difference in students' learning gains. However, the Reinforcement Learning (RL) techniques that were used in previous studies to induce tutorial tactics are insufficient when encountering large problems and hence were used in offline manners. Therefore, we introduced a Genetic-Based Reinforcement Learning (GBML) approach to induce tutorial tactics in an online-learning manner without basing on any preexisting dataset. The introduced method can learn a set of rules from the environment in a manner similar to RL. It includes a genetic-based optimizer for rule discovery task by generating new rules from the old ones. This increases the scalability of a RL learner for larger problems. The results support our hypothesis about the capability of the GBML method to induce tutorial tactics. This suggests that the GBML method should be favorable in developing real-world ITS applications in the domain of tutorial tactics induction.

British Council, Work-Based Learning Research Centre and Islamic University Gaza E-Learning Workshop: Five Years on

ERIC Educational Resources Information Center

Basiel, Anthony; Commins, Ralph

2010-01-01

This article describes the process for training Palestinians in Gaza on developing e-learning courses using WebCT. The training was delivered at a distance using information and communications technologies. The project used a problem-based approach to introduce e learning concepts and practice for the pedagogy of online content, learning theory,…

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…

Promoting Positive Academic Dispositions Using a Web-Based PBL Environment: The GlobalEd 2 Project

ERIC Educational Resources Information Center

Brown, Scott W.; Lawless, Kimberly A.; Boyer, Mark A.

2013-01-01

Problem-based learning (PBL) is an instructional design approach for promoting student learning, understanding and knowledge development in context rich settings. Previous PBL research has primarily focused on face-to-face learning environments, but current technologies afford PBL designers the opportunities to create online, virtual, PBL…

Experience of e-learning implementation through massive open online courses

NASA Astrophysics Data System (ADS)

Ivleva, N. V.; Fibikh, E. V.

2016-04-01

E-learning is considered to be one of the most prospective directions in education development worldwide. To have a competitive advantage over other institutions offering a wide variety of educational services it is important to introduce information and communication technologies into the educational process to develop e-learning on the whole. The aim of the research is to reveal problems which prevent from full implementation of e-learning at the Reshetnev Siberian State Aerospace University (SibSAU) and to suggest ways on solving those problems through optimization of e-learning introduction process at the university by motivating students and teaching staff to participate in massive open online courses and formation of tailored platforms with the view to arrange similar courses at the premises of the university. The paper considers the introduction and development level of e-learning in Russia and at SibSAU particularly. It substantiates necessity to accelerate e-learning introduction process at an aerospace university as a base for training of highly-qualified specialists in the area of aviation, machine building, physics, info-communication technologies and also in other scientific areas within which university training is carried out. The paper covers SibSAU’s experience in e-learning implementation in the educational process through students and teaching staff participation in massive open online courses and mastering other up-to-date and trendy educational platforms and their usage in the educational process. Key words. E-learning, distance learning, online learning, massive open online course.

Unifying Computer-Based Assessment across Conceptual Instruction, Problem-Solving, and Digital Games

ERIC Educational Resources Information Center

Miller, William L.; Baker, Ryan S.; Rossi, Lisa M.

2014-01-01

As students work through online learning systems such as the Reasoning Mind blended learning system, they often are not confined to working within a single educational activity; instead, they work through various different activities such as conceptual instruction, problem-solving items, and fluency-building games. However, most work on assessing…

Student Reflections as Artifacts of Self-Regulatory Behaviors for Learning: A Tale of Two Courses

ERIC Educational Resources Information Center

Bigenho, Christopher William

2011-01-01

The rapid growth of online and blended learning environments in both higher education and K-12, along with the development of innovative game based, narrative driven, problem-based learning (PBL) systems known as Alternate Reality Games (AltRG), has led to the need to understand student's abilities to self-regulate their learning behaviors…

Effects of Using Graphics and Animation Online Problem-Based Learning on Visualization Skills among Students

NASA Astrophysics Data System (ADS)

Ariffin, A.; Samsudin, M. A.; Zain, A. N. Md.; Hamzah, N.; Ismail, M. E.

2017-05-01

The Engineering Drawing subject develops skills in geometry drawing becoming more professional. For the concept in Engineering Drawing, students need to have good visualization skills. Visualization is needed to help students get a start before translating into a drawing. So that, Problem Based Learning (PBL) using animation mode (PBL-A) and graphics mode (PBL-G) will be implemented in class. Problem-solving process is repeatedly able to help students interpret engineering drawings step work correctly and accurately. This study examined the effects of PBL-A online and PBL-G online on visualization skills of students in polytechnics. Sixty eight mechanical engineering students have been involved in this study. The visualization test adapted from Bennett, Seashore and Wesman was used in this study. Results showed significant differences in mean scores post-test of visualization skills among the students enrolled in PBL-G with the group of students who attended PBL-A online after effects of pre-test mean score is controlled. Therefore, the effects of animation modes have a positive impact on increasing students’ visualization skills.

Around the Globe.

ERIC Educational Resources Information Center

Wheeler, Steve

2001-01-01

Provides an overview of current activities in Web-based learning and development in Romania. Discusses promotion of online learning by various societies and institutions; the distance courses based on traditional procedures; problems of the current state of distance education, including shortage of teachers and network administration and poor and…

Facilitating Service Learning in the Online Technical Communication Classroom

ERIC Educational Resources Information Center

Nielsen, Danielle

2016-01-01

Drawing from the author's experience teaching online technical communication courses with an embedded service-learning component, this essay opens the discussion to the potential problems involved in designing online service-learning courses and provides practical approaches to integrating service learning into online coursework. The essay…

Engaged Learning: Impact of PBL and PjBL with Elementary and Middle Grade Students

ERIC Educational Resources Information Center

Dole, Sharon; Bloom, Lisa; Doss, Kristy K.

2017-01-01

This study used structured online interviews with teachers to examine the impact that inquiry-based teaching methods had on their students. The research question was the following: What are the effects on student learning and motivation as a result of teachers using problem-based and project-based learning? Interviews were conducted with 36…

Neural networks for continuous online learning and control.

PubMed

Choy, Min Chee; Srinivasan, Dipti; Cheu, Ruey Long

2006-11-01

This paper proposes a new hybrid neural network (NN) model that employs a multistage online learning process to solve the distributed control problem with an infinite horizon. Various techniques such as reinforcement learning and evolutionary algorithm are used to design the multistage online learning process. For this paper, the infinite horizon distributed control problem is implemented in the form of real-time distributed traffic signal control for intersections in a large-scale traffic network. The hybrid neural network model is used to design each of the local traffic signal controllers at the respective intersections. As the state of the traffic network changes due to random fluctuation of traffic volumes, the NN-based local controllers will need to adapt to the changing dynamics in order to provide effective traffic signal control and to prevent the traffic network from becoming overcongested. Such a problem is especially challenging if the local controllers are used for an infinite horizon problem where online learning has to take place continuously once the controllers are implemented into the traffic network. A comprehensive simulation model of a section of the Central Business District (CBD) of Singapore has been developed using PARAMICS microscopic simulation program. As the complexity of the simulation increases, results show that the hybrid NN model provides significant improvement in traffic conditions when evaluated against an existing traffic signal control algorithm as well as a new, continuously updated simultaneous perturbation stochastic approximation-based neural network (SPSA-NN). Using the hybrid NN model, the total mean delay of each vehicle has been reduced by 78% and the total mean stoppage time of each vehicle has been reduced by 84% compared to the existing traffic signal control algorithm. This shows the efficacy of the hybrid NN model in solving large-scale traffic signal control problem in a distributed manner. Also, it indicates the possibility of using the hybrid NN model for other applications that are similar in nature as the infinite horizon distributed control problem.

Effects of an online problem-based learning program on sexual health care competencies among oncology nurses: a pilot study.

PubMed

Kim, Jung-Hee; Shin, Jwa-Seop

2014-09-01

The purpose of this study was to test the effectiveness of an online problem-based learning (e-PBL) program that offers multimedia scenarios to develop sexual health care competencies. A pretest–posttest control group design was used with two randomized groups in one Korean tertiary hospital. The sample included 32 RNs who cared for oncology patients. The intervention group completed an e-PBL cycle consisting of eight tutorials. Nurses in the intervention group scored significantly higher on knowledge than did those in the control group. The intervention group exhibited no significant differences in attitude and practices following the intervention. The results show the potential of e-PBL to enhance traditional PBL by offering multimedia scenarios in an interactive and flexible learning environment.

Innovating Professional Development for Future Health Care Practitioners.

ERIC Educational Resources Information Center

Hamilton, Charlene; Rucinski, Ann; Schakelman, Justin

2001-01-01

Describes a Web-based professional development curriculum that was designed at the University of Delaware for the internship portion of the Registered Dieticians program. Topics include distance learning; technology integration; combining in-class with online instruction; multimedia use for problem-based learning case studies; course management…

Task Relevance in the Design of Online Professional Development for Teachers of ELLs: A Q Methodology Study

ERIC Educational Resources Information Center

Collins, Linda J.; Liang, Xin

2014-01-01

Online professional development (oPD) for teachers should focus on designing web-based learning opportunities that help practicing educators solve the tough problems of practice when working in their schools. Technology, pedagogy, and content knowledge can be integrated in the design of online professional development modules to enhance task…

Analysis of Learning Tools in the study of Developmental of Interactive Multimedia Based Physic Learning Charged in Problem Solving

NASA Astrophysics Data System (ADS)

Manurung, Sondang; Demonta Pangabean, Deo

2017-05-01

The main purpose of this study is to produce needs analysis, literature review, and learning tools in the study of developmental of interactive multimedia based physic learning charged in problem solving to improve thinking ability of physic prospective student. The first-year result of the study is: result of the draft based on a needs analysis of the facts on the ground, the conditions of existing learning and literature studies. Following the design of devices and instruments performed as well the development of media. Result of the second study is physics learning device -based interactive multimedia charged problem solving in the form of textbooks and scientific publications. Previous learning models tested in a limited sample, then in the evaluation and repair. Besides, the product of research has an economic value on the grounds: (1) a virtual laboratory to offer this research provides a solution purchases physics laboratory equipment is expensive; (2) address the shortage of teachers of physics in remote areas as a learning tool can be accessed offline and online; (3). reducing material or consumables as tutorials can be done online; Targeted research is the first year: i.e story board learning physics that have been scanned in a web form CD (compact disk) and the interactive multimedia of gas Kinetic Theory concept. This draft is based on a needs analysis of the facts on the ground, the existing learning conditions, and literature studies. Previous learning models tested in a limited sample, then in the evaluation and repair.

Using Learner Controlled Progress-Based Rewards to Promote Motivation and Achievement of At-Risk Students in Managed Online Learning Environments

ERIC Educational Resources Information Center

Cunningham, Carlton A.

2011-01-01

Technology enhancements of the past two decades have not successfully overcome the problem of low motivation in Kindergarten through Grade 12 (K-12). Motivation and math achievement have been identified as major factors contributing to the high school dropout problem (30-50% in traditional/online programs). The impact of extrinsic rewards on…

Using Jigsaw-Style Spectroscopy Problem-Solving to Elucidate Molecular Structure through Online Cooperative Learning

ERIC Educational Resources Information Center

Winschel, Grace A.; Everett, Renata K.; Coppola, Brian P.; Shultz, Ginger V.

2015-01-01

Cooperative learning was employed as an instructional approach to facilitate student development of spectroscopy problem solving skills. An interactive online environment was used as a framework to structure weekly discussions around spectroscopy problems outside of class. Weekly discussions consisted of modified jigsaw-style problem solving…

Significant increase in factual knowledge with web-assisted problem-based learning as part of an undergraduate cardio-respiratory curriculum

PubMed Central

Münscher, C.; Pukrop, T.; Anders, S.; Harendza, S.

2009-01-01

In recent years, increasing attention has been paid to web-based learning although the advantages of computer-aided instruction over traditional teaching formats still need to be confirmed. This study examined whether participation in an online module on the differential diagnosis of dyspnoea impacts on student performance in a multiple choice examination of factual knowledge in cardiology and pneumology. A virtual problem-based learning environment for medical students supervised by postgraduate teachers was created. Seventy-four out of 183 fourth-year medical students volunteered to use the online module while attending a 6-week cardio-respiratory curriculum in summer 2007. Of these, 40 were randomly selected to be included (intervention group); the remaining 34 served as an internal control group. Analysis of all written exams taken during the preceding term showed that both groups were comparable (86.4 ± 1.1 vs. 85.9 ± 1.1%; p = 0.751). Students in the intervention group scored significantly higher in the final course assessment than students allocated to the control group (84.8 ± 1.3 vs. 79.5 ± 1.4%; p = 0.006; effect size 0.67). Thus, additional problem-based learning with an online module as part of an undergraduate cardio-respiratory curriculum lead to higher students’ scores in an exam testing factual knowledge. Whether using this teaching format increases overall student motivation to engage in the learning process needs to be further investigated. PMID:19774475

Course Design and Student Responses to an Online PBL Course in 3D Modelling for Mining Engineers

ERIC Educational Resources Information Center

McAlpine, Iain; Stothard, Phillip

2005-01-01

To enhance a course in 3D Virtual Reality (3D VR) modelling for mining engineers, and to create the potential for off campus students to fully engage with the course, a problem based learning (PBL) approach was applied to the course design and all materials and learning activities were provided online. This paper outlines some of the theoretical…

A fast and precise indoor localization algorithm based on an online sequential extreme learning machine.

PubMed

Zou, Han; Lu, Xiaoxuan; Jiang, Hao; Xie, Lihua

2015-01-15

Nowadays, developing indoor positioning systems (IPSs) has become an attractive research topic due to the increasing demands on location-based service (LBS) in indoor environments. WiFi technology has been studied and explored to provide indoor positioning service for years in view of the wide deployment and availability of existing WiFi infrastructures in indoor environments. A large body of WiFi-based IPSs adopt fingerprinting approaches for localization. However, these IPSs suffer from two major problems: the intensive costs of manpower and time for offline site survey and the inflexibility to environmental dynamics. In this paper, we propose an indoor localization algorithm based on an online sequential extreme learning machine (OS-ELM) to address the above problems accordingly. The fast learning speed of OS-ELM can reduce the time and manpower costs for the offline site survey. Meanwhile, its online sequential learning ability enables the proposed localization algorithm to adapt in a timely manner to environmental dynamics. Experiments under specific environmental changes, such as variations of occupancy distribution and events of opening or closing of doors, are conducted to evaluate the performance of OS-ELM. The simulation and experimental results show that the proposed localization algorithm can provide higher localization accuracy than traditional approaches, due to its fast adaptation to various environmental dynamics.

Regulation of Motivation: Students' Motivation Management in Online Collaborative Groupwork

ERIC Educational Resources Information Center

Xu, Jianzhong; Du, Jianxia

2013-01-01

Background: Online learning is becoming a global phenomenon and has a steadily growing influence on how learning is delivered at universities worldwide. Motivation of students, however, has become one of the most serious problems in one important aspect of online learning--online collaborative groupwork or online group homework. It is surprising…

Introducing a technology-enabled problem-based learning approach into a health informatics curriculum.

PubMed

Green, Carolyn J; van Gyn, Geraldine H; Moehr, Jochen R; Lau, Francis Y; Coward, Patricia M

2004-03-18

To investigate the effect on learner satisfaction of introducing a technology-enabled problem-based learning (PBL) approach into a health informatics curriculum. Course redesign was undertaken to prepare students for three 4-month work terms and a rapidly changing professional environment upon graduation. Twenty-six Canadian undergraduate students of a redesigned course in biomedical fundamentals completed a midterm questionnaire in 2002. Eight of these students participated in a focus group. Students agreed that seven of nine functions provided by the web-based online course management system enhanced their learning: private email (92.3%), calendaring (88.5%), course notes (88.5%), discussion forums (84.5%), online grades (84.5%) assignment descriptions (80.8%) and online quizzes (80.8%). Although students agreed that two PBL activities enhanced learning (learning to present information) (84.5%) and learning to identify information needed (73.1%), the majority of students (69.2%) expressed a preference for the traditional lecture approach over the PBL approach. Students reported feeling uncertain of what was required of them and related anxiety accounted for most of the negative feedback. These findings give us clear goals for improvement in the course beginning with a comprehensive, carefully guided introduction to the processes of PBL. The positive trends are encouraging for the use of web-enabled courseware and for the further development of the PBL approach.

Social Presence in Online Learning Communities: The Role of Personal Profiles

ERIC Educational Resources Information Center

Kear, Karen; Chetwynd, Frances; Jefferis, Helen

2014-01-01

Online communication is increasingly used in education, but it is not without problems. One significant difficulty is a lack of social presence. Social presence relates to the need for users of technology-based communication to perceive each other as real people. Low social presence can be a particular issue in text-based, asynchronous systems…

A University's Strategic Adoption Process of an PBL-Aligned eLearning Environment: An Exploratory Case Study

ERIC Educational Resources Information Center

Blackburn, Greg

2017-01-01

Much has been written about the promise and peril of technology in education. This paper presents an empirical study that explores how technology can play a pivotal role in student learning and how teaching staff can adopt innovative technology-based approaches in the creation of interactive online problem-based learning (PBL) resources, allowing…

A Framework for Finding and Summarizing Product Defects, and Ranking Helpful Threads from Online Customer Forums through Machine Learning

ERIC Educational Resources Information Center

Jiao, Jian

2013-01-01

The Internet has revolutionized the way users share and acquire knowledge. As important and popular Web-based applications, online discussion forums provide interactive platforms for users to exchange information and report problems. With the rapid growth of social networks and an ever increasing number of Internet users, online forums have…

A Web-based e-learning course: integration of pathophysiology into pharmacology.

PubMed

Tse, Mimi M Y; Lo, Lisa W L

2008-11-01

The Internet is becoming the preferred place to find information. Millions of people go online in search of health and medical information. Likewise, the demand for Web-based courses is growing. This paper presents the development, utilization, and evaluation of a Web-based e-learning course for nursing students, entitled Integration of Pathophysiology into Pharmacology. The pathophysiology component included cardiovascular, respiratory, central nervous and immune system diseases, while the pharmacology component was developed based on 150 commonly used drugs. One hundred and nineteen Year 1 nursing students took part in the course. The Web-based e-learning course materials were uploaded to a WebCT for students' self-directed learning and attempts to pass two scheduled online quizzes. At the end of the semester, students were given a questionnaire to measure the e-learning experience. Their experience in the e-learning course was a positive one. Students stated that they were able to understand rather than memorize the subject content, and develop their problem solving and critical thinking abilities. Online quizzes yielded satisfactory results. In the focus group interview, students indicated that they appreciated the time flexibility and convenience associated with Web-based learning, and also made good suggestions for enhancing Web-based learning. The Web-based approach is promising for teaching and learning pathophysiology and pharmacology for nurses and other healthcare professionals.

Toward an Understanding of Development of Learning to Solve Ill-Defined Problems in an Online Context: A Multi-Year Qualitative Exploratory Study

ERIC Educational Resources Information Center

Peddibhotla, Naren

2016-01-01

The case study is a classic tool used in several educational programs that emphasizes solving of illdefined problems. Though it has been used in classroom-based teaching and educators have developed a rich repertoire of methods, its use in online courses presents different challenges. To explore factors that develop skills in solving ill-defined…

How Does Early Feedback in an Online Programming Course Change Problem Solving?

ERIC Educational Resources Information Center

Ebrahimi, Alireza

2012-01-01

How does early feedback change the programming problem solving in an online environment and help students choose correct approaches? This study was conducted in a sample of students learning programming in an online course entitled Introduction to C++ and OOP (Object Oriented Programming) using the ANGEL learning management system platform. My…

Online Self-Organizing Social Systems: The Decentralized Future of Online Learning.

ERIC Educational Resources Information Center

Wiley, David A.; Edwards, Erin K.

2002-01-01

Describes an online self-organizing social system (OSOSS) which allows large numbers of individuals to self-organize in a highly decentralized manner to solve problems and accomplish other goals. Topics include scalability and bandwidth in online learning; self-organization; learning objects; instructional design underlying OSOSS, including…

Pedagogy for teaching and learning cooperatively on the Web: a Web-based pharmacology course.

PubMed

Tse, Mimi M Y; Pun, Sandra P Y; Chan, Moon Fai

2007-02-01

The Internet is becoming a preferred place to find information. Millions of people go online in the search of health and medical information. Likewise, the demand for Web-based courses grows. This article presents the development, utilization and evaluation of a web-based pharmacology course for nursing students. The course was developed based on 150 commonly used drugs. There were 110 year 1 nursing students took part in the course. After attending six hours face to face lecture of pharmacology over three weeks, students were invited to complete a questionnaire (pre-test) about learning pharmacology. The course materials were then uploaded to a WebCT for student's self-directed learning and attempts to pass two scheduled online quizzes. At the end of the semester, students were given the same questionnaire (post-test). There were a significant increase in the understanding compared with memorizing the subject content, the development of problem solving ability in learning pharmacology and becoming an independent learner (p ,0.05). Online quizzes yielded satisfactory results. In the focused group interview, students appreciated the time flexibility and convenience associated with web-based learning, also, they had made good suggestions in enhancing web-based learning. Web-based approach is promising for teaching and learning pharmacology for nurses and other health-care professionals.

Enriching Project-Based Learning Environments with Virtual Manipulatives: A Comparative Study

ERIC Educational Resources Information Center

Çakiroglu, Ünal

2014-01-01

Problem statement: Although there is agreement on the potential of project based learning (PBL) and virtual manipulatives (VMs), their positive impact depends on how they are used. This study was based on supporting the use of online PBL environments and improving the efficacy of the instructional practices in PBL by combining the potentials of…

Student Success Rate in Online Learning Support Classes Compared to Traditional Classes

ERIC Educational Resources Information Center

Pope, Holly

2013-01-01

West Georgia Technical College (WGTC) did not offer online learning support courses and was losing students to other colleges that offered those courses online. Adding to this problem, online learning support class sections were not being added without sufficient proof that students could receive the same level of education in an online section as…

Promoting Students' Problem Solving Skills and Knowledge of STEM Concepts in a Data-Rich Learning Environment: Using Online Data as a Tool for Teaching about Renewable Energy Technologies

NASA Astrophysics Data System (ADS)

Thurmond, Brandi

This study sought to compare a data-rich learning (DRL) environment that utilized online data as a tool for teaching about renewable energy technologies (RET) to a lecture-based learning environment to determine the impact of the learning environment on students' knowledge of Science, Technology, Engineering, and Math (STEM) concepts related to renewable energy technologies and students' problem solving skills. Two purposefully selected Advanced Placement (AP) Environmental Science teachers were included in the study. Each teacher taught one class about RET in a lecture-based environment (control) and another class in a DRL environment (treatment), for a total of four classes of students (n=128). This study utilized a quasi-experimental, pretest/posttest, control-group design. The initial hypothesis that the treatment group would have a significant gain in knowledge of STEM concepts related to RET and be better able to solve problems when compared to the control group was not supported by the data. Although students in the DRL environment had a significant gain in knowledge after instruction, posttest score comparisons of the control and treatment groups revealed no significant differences between the groups. Further, no significant differences were noted in students' problem solving abilities as measured by scores on a problem-based activity and self-reported abilities on a reflective questionnaire. This suggests that the DRL environment is at least as effective as the lecture-based learning environment in teaching AP Environmental Science students about RET and fostering the development of problem solving skills. As this was a small scale study, further research is needed to provide information about effectiveness of DRL environments in promoting students' knowledge of STEM concepts and problem-solving skills.

An Ecological Approach to the On-Line Assessment of Problem-Solving Paths: Principles and Applications.

ERIC Educational Resources Information Center

Shaw, Robert E.; And Others

1997-01-01

Proposes a theoretical framework for designing online-situated assessment tools for multimedia instructional systems. Uses a graphic method based on ecological psychology to monitor student performance through a learning activity. Explores the method's feasibility in case studies describing instructional systems teaching critical-thinking and…

Promoting Quantitative Literacy in an Online College Algebra Course

ERIC Educational Resources Information Center

Tunstall, Luke; Bossé, Michael J.

2016-01-01

College algebra (a university freshman level algebra course) fulfills the quantitative literacy requirement of many college's general education programs and is a terminal course for most who take it. An online problem-based learning environment provides a unique means of engaging students in quantitative discussions and research. This article…

A Case of Problem Based Learning for Cross-Institutional Collaboration

ERIC Educational Resources Information Center

Nerantzi, Chrissi

2012-01-01

The idea of moving away from battery-type Academic Development Activities and silo modules and programmes towards open cross-institutional approaches in line with OEP are explored within this paper based on a recent small-scale, fully-online study. This brought together academics and other professionals who support learning, from different…

Mathematics and online learning experiences: a gateway site for engineering students

NASA Astrophysics Data System (ADS)

Masouros, Spyridon D.; Alpay, Esat

2010-03-01

This paper focuses on the preliminary design of a multifaceted computer-based mathematics resource for undergraduate and pre-entry engineering students. Online maths resources, while attractive in their flexibility of delivery, have seen variable interest from students and teachers alike. Through student surveys and wide consultations, guidelines have been developed for effectively collating and integrating learning, support, application and diagnostic tools to produce an Engineer's Mathematics Gateway. Specific recommendations include: the development of a shared database of engineering discipline-specific problems and examples; the identification of, and resource development for, troublesome mathematics topics which encompass ideas of threshold concepts and mastery components; the use of motivational and promotional material to raise student interest in learning mathematics in an engineering context; the use of general and lecture-specific concept maps and matrices to identify the needs and relevance of mathematics to engineering topics; and further exploration of the facilitation of peer-based learning through online resources.

Feedback control by online learning an inverse model.

PubMed

Waegeman, Tim; Wyffels, Francis; Schrauwen, Francis

2012-10-01

A model, predictor, or error estimator is often used by a feedback controller to control a plant. Creating such a model is difficult when the plant exhibits nonlinear behavior. In this paper, a novel online learning control framework is proposed that does not require explicit knowledge about the plant. This framework uses two learning modules, one for creating an inverse model, and the other for actually controlling the plant. Except for their inputs, they are identical. The inverse model learns by the exploration performed by the not yet fully trained controller, while the actual controller is based on the currently learned model. The proposed framework allows fast online learning of an accurate controller. The controller can be applied on a broad range of tasks with different dynamic characteristics. We validate this claim by applying our control framework on several control tasks: 1) the heating tank problem (slow nonlinear dynamics); 2) flight pitch control (slow linear dynamics); and 3) the balancing problem of a double inverted pendulum (fast linear and nonlinear dynamics). The results of these experiments show that fast learning and accurate control can be achieved. Furthermore, a comparison is made with some classical control approaches, and observations concerning convergence and stability are made.

Guidelines for Facilitating the Development of Learning Communities in Online Courses

ERIC Educational Resources Information Center

Yuan, J.; Kim, C.

2014-01-01

Online learning has grown exponentially in recent years; however, dropout problem remains challenging for some online programmes. The dropout problem can be attributed to a number of reasons, with a lack of interaction between learners and the instructor constituting one of the main reasons. The lack of interaction also leads to learners'…

An Emic Lens into Online Learning Environments in PPL in Undergraduate Dentistry

ERIC Educational Resources Information Center

Bridges, Susan

2015-01-01

Whilst face-to-face tutorial group interaction has been the focus of quantitative and qualitative studies in problem-based learning (PBL), little work has explored the independent learning phase of the PBL cycle from an interactionist perspective. An interactional ethnographic logic of inquiry guided collection and analysis of video recordings and…

Fostering Creativity through Inquiry and Adventure in Informal Learning Environment Design

ERIC Educational Resources Information Center

Doering, Aaron; Henrickson, Jeni

2015-01-01

Self-directed, inquiry-based learning opportunities focused on transdisciplinary real-world problem solving have been shown to foster creativity in learners. What tools might we provide classroom teachers to scaffold them and their students through this creative process? This study examines an online informal learning environment and the role the…

"The NASA Sci Files": The Case of the Biological Biosphere. [Videotape].

ERIC Educational Resources Information Center

National Aeronautics and Space Administration, Hampton, VA. Langley Research Center.

The NASA Science Files is a series of instructional programs consisting of broadcast, print, and online elements. Emphasizing standards-based instruction, problem-based learning, and science as inquiry, the series seeks to motivate students in grades 3-5 to become critical thinkers and active problem solvers. Each program supports the national…

A Fast and Precise Indoor Localization Algorithm Based on an Online Sequential Extreme Learning Machine †

PubMed Central

Zou, Han; Lu, Xiaoxuan; Jiang, Hao; Xie, Lihua

2015-01-01

Nowadays, developing indoor positioning systems (IPSs) has become an attractive research topic due to the increasing demands on location-based service (LBS) in indoor environments. WiFi technology has been studied and explored to provide indoor positioning service for years in view of the wide deployment and availability of existing WiFi infrastructures in indoor environments. A large body of WiFi-based IPSs adopt fingerprinting approaches for localization. However, these IPSs suffer from two major problems: the intensive costs of manpower and time for offline site survey and the inflexibility to environmental dynamics. In this paper, we propose an indoor localization algorithm based on an online sequential extreme learning machine (OS-ELM) to address the above problems accordingly. The fast learning speed of OS-ELM can reduce the time and manpower costs for the offline site survey. Meanwhile, its online sequential learning ability enables the proposed localization algorithm to adapt in a timely manner to environmental dynamics. Experiments under specific environmental changes, such as variations of occupancy distribution and events of opening or closing of doors, are conducted to evaluate the performance of OS-ELM. The simulation and experimental results show that the proposed localization algorithm can provide higher localization accuracy than traditional approaches, due to its fast adaptation to various environmental dynamics. PMID:25599427

Learning Stoichiometry: A Comparison of Text and Multimedia Formats

ERIC Educational Resources Information Center

Evans, Karen L.; Yaron, David; Leinhardt, Gaea

2008-01-01

Even after repeated instruction, first year college chemistry students are often unable to apply stoichiometry knowledge to equilibrium and acid-base chemistry problems. The dynamic and interactive capabilities of online technology may facilitate stoichiometry instruction that promotes more meaningful learning. This study compares a…

Game-Based Experiential Learning in Online Management Information Systems Classes Using Intel's IT Manager 3

ERIC Educational Resources Information Center

Bliemel, Michael; Ali-Hassan, Hossam

2014-01-01

For several years, we used Intel's flash-based game "IT Manager 3: Unseen Forces" as an experiential learning tool, where students had to act as a manager making real-time prioritization decisions about repairing computer problems, training and upgrading systems with better technologies as well as managing increasing numbers of technical…

ENGAGE: A Game Based Learning and Problem Solving Framework

DTIC Science & Technology

2012-08-15

multiplayer card game Creature Capture now supports an offline multiplayer mode (sharing a single computer), in response to feedback from teachers that a...Planetopia overworld will be ready for use by a number of physical schools as well as integrated into multiple online teaching resources. The games will be...From - To) 7/1/2012 – 7/31/2012 4. TITLE AND SUBTITLE ENGAGE: A Game Based Learning and Problem Solving Framework 5a. CONTRACT NUMBER N/A 5b

Using VoiceThread to Promote Collaborative Learning in On-Line Clinical Nurse Leader Courses.

PubMed

Fox, Ola H

The movement to advance the clinical nurse leader (CNL) as an innovative new role for meeting higher health care quality standards continues with CNL programs offered on-line at colleges and universities nationwide. Collaborative learning activities offer the opportunity for CNL students to gain experience in working together in small groups to negotiate and solve care process problems. The challenge for nurse educators is to provide collaborative learning activities in an asynchronous learning environment that can be considered isolating by default. This article reports on the experiences of 17 CNL students who used VoiceThread, a cloud-based tool that allowed them to communicate asynchronously with one another through voice comments for collaboration and sharing knowledge. Participants identified benefits and drawbacks to using VoiceThread for collaboration as compared to text-based discussion boards. Students reported that the ability to hear the voice of their peers and the instructor helped them feel like they were in a classroom communicating with "real" instructor and peers. Students indicated a preference for on-line classes that used VoiceThread discussions to on-line classes that used only text-based discussion boards. Copyright © 2016 Elsevier Inc. All rights reserved.

Delivery of a urology online course using Moodle versus didactic lectures methods.

PubMed

Reis, Leonardo Oliveira; Ikari, Osamu; Taha-Neto, Khaled A; Gugliotta, Antonio; Denardi, Fernandes

2015-02-01

To subjectively and objectively compare an accessible interactive electronic library using Moodle with lectures for urology teaching of medical students. Forty consecutive fourth-year medical students and one urology teacher were exposed to two teaching methods (4 weeks each) in the form of problem-based learning: - lectures and - student-centered group discussion based on Moodle (modular object-oriented dynamic learning environment) full time online delivered (24/7) with video surgeries, electronic urology cases and additional basic principles of the disease process. All 40 students completed the study. While 30% were moderately dissatisfied with their current knowledge base, online learning course delivery using Moodle was considered superior to the lectures by 86% of the students. The study found the following observations: (1) the increment in learning grades ranged from 7.0 to 9.7 for students in the online Moodle course compared to 4.0-9.6 to didactic lectures; (2) the self-reported student involvement in the online course was characterized as large by over 60%; (3) the teacher-student interaction was described as very frequent (50%) and moderately frequent (50%); and (4) more inquiries and requisitions by students as well as peer assisting were observed from the students using the Moodle platform. The Moodle platform is feasible and effective, enthusing medical students to learn, improving immersion in the urology clinical rotation and encouraging the spontaneous peer assisted learning. Future studies should expand objective evaluations of knowledge acquisition and retention. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Learners' Perceived Information Overload in Online Learning via Computer-Mediated Communication

ERIC Educational Resources Information Center

Chen, Chun-Ying; Pedersen, Susan; Murphy, Karen L.

2011-01-01

Many studies report information overload as one of the main problems that students encounter in online learning via computer-mediated communication. This study aimed to explore the sources of online students' information overload and offer suggestions for increasing students' cognitive resources for learning. Participants were 12 graduate students…

A Blended Learning Course Design in Clinical Pharmacology for Post-graduate Dental Students

PubMed Central

Rosenbaum, Paul-Erik Lillholm; Mikalsen, Øyvind; Lygre, Henning; Solheim, Einar; Schjøtt, Jan

2012-01-01

Postgraduate courses in clinical pharmacology are important for dentists to be updated on drug therapy and information related to their clinical practice, as well as knowledge of relevant adverse effects and interactions. A traditional approach with classroom delivery as the only method to teaching and learning has shortcomings regarding flexibility, individual learning preferences, and problem based learning (PBL) activities compared to online environments. This study examines a five week postgraduate course in clinical pharmacology with 15 hours of lectures and online learning activities, i.e. blended course design. Six postgraduate dental students participated and at the end of the course they were interviewed. Our findings emphasize that a blended learning course design can be successfully used in postgraduate dental education. Key matters for discussion were time flexibility and location convenience, change in teacher’s role, rein-forced learning strategies towards professional needs, scarcity in online communication, and proposed future utilization of e-learning components. PMID:23248716

Significant Increase in Factual Knowledge with Web-Assisted Problem-Based Learning as Part of an Undergraduate Cardio-Respiratory Curriculum

ERIC Educational Resources Information Center

Raupach, T.; Munscher, C.; Pukrop, T.; Anders, S.; Harendza, S.

2010-01-01

In recent years, increasing attention has been paid to web-based learning although the advantages of computer-aided instruction over traditional teaching formats still need to be confirmed. This study examined whether participation in an online module on the differential diagnosis of dyspnoea impacts on student performance in a multiple choice…

Supporting traditional PBL with online discussion forums: a study from Qassim Medical School.

PubMed

Alamro, Ahmad S; Schofield, Susie

2012-01-01

The Qassim Medical School first year curriculum includes a 5-week problem-based learning (PBL) block. Student evaluation has highlighted inadequate feedback and lack of student-student and student-tutor interactions. An online intervention may alleviate this. For each problem, a discussion forum (DF) was created with 14 threads (one for each group) in virtual PBL rooms. Students' and tutors' perceived satisfaction of the intervention was evaluated and types of posts were classified. By the end of the block, all academic staff involved and 123 students (95%) had participated in the DFs. There were around 2800 posts and 28,500 views. All 14 tutors and 102 (78%) students completed the online questionnaire. Of the students, 66 (76%) male and 36 (92%) female students responded. Overall, both students and tutors perceived the intervention positively. Posts included: reforming and finalizing learning objectives, posting the concept map constructed in the face-to-face session and questioning, encouraging and motivating each other. In addition, posts included tutors' feedback and redirection. Blending e-learning with conventional PBL may help overcome student-perceived shortcomings of conventional PBL and improve the learning experience, making learning more interactive and interesting.

Constructing Temporally Extended Actions through Incremental Community Detection

PubMed Central

Li, Ge

2018-01-01

Hierarchical reinforcement learning works on temporally extended actions or skills to facilitate learning. How to automatically form such abstraction is challenging, and many efforts tackle this issue in the options framework. While various approaches exist to construct options from different perspectives, few of them concentrate on options' adaptability during learning. This paper presents an algorithm to create options and enhance their quality online. Both aspects operate on detected communities of the learning environment's state transition graph. We first construct options from initial samples as the basis of online learning. Then a rule-based community revision algorithm is proposed to update graph partitions, based on which existing options can be continuously tuned. Experimental results in two problems indicate that options from initial samples may perform poorly in more complex environments, and our presented strategy can effectively improve options and get better results compared with flat reinforcement learning. PMID:29849543

Learner Attrition in an Advanced Vocational Online Training: The Role of Computer Attitude, Computer Anxiety, and Online Learning Experience

ERIC Educational Resources Information Center

Stiller, Klaus D.; Köster, Annamaria

2016-01-01

Online learning has gained importance in education over the last 20 years, but the well-known problem of high dropout rates still persists. According to the multi-dimensional learning tasks model, the cognitive (over)load of learners is essential to attrition when dealing with five challenges (e.g. technology, user interface) of an online training…

Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game.

PubMed

Zhong, Xiangnan; He, Haibo; Wang, Ding; Ni, Zhen

2018-05-01

In this paper, we present a new model-free globalized dual heuristic dynamic programming (GDHP) approach for the discrete-time nonlinear zero-sum game problems. First, the online learning algorithm is proposed based on the GDHP method to solve the Hamilton-Jacobi-Isaacs equation associated with optimal regulation control problem. By setting backward one step of the definition of performance index, the requirement of system dynamics, or an identifier is relaxed in the proposed method. Then, three neural networks are established to approximate the optimal saddle point feedback control law, the disturbance law, and the performance index, respectively. The explicit updating rules for these three neural networks are provided based on the data generated during the online learning along the system trajectories. The stability analysis in terms of the neural network approximation errors is discussed based on the Lyapunov approach. Finally, two simulation examples are provided to show the effectiveness of the proposed method.

Blended Learning and Curriculum Renewal across Three Medical Schools: The Rheumatology Module at the University of Otago

ERIC Educational Resources Information Center

Stebbings, Simon; Bagheri, Nasser; Perrie, Kellie; Blyth, Phil; McDonald, Jenny

2012-01-01

In response to the challenges created by the implementation of a new medical school curriculum at the University of Otago in 2008, we aimed to develop a blended learning course for teaching rheumatology within the existing musculoskeletal course. We developed a multimedia online learning resource structured to support class based problem-based…

How Useful Is YouTube in Learning Heart Anatomy?

ERIC Educational Resources Information Center

Raikos, Athanasios; Waidyasekara, Pasan

2014-01-01

Nowadays more and more modern medical degree programs focus on self-directed and problem-based learning. That requires students to search for high quality and easy to retrieve online resources. YouTube is an emerging platform for learning human anatomy due to easy access and being a free service. The purpose of this study is to make a quantitative…

Learning Analysis of K-12 Students' Online Problem Solving: A Three-Stage Assessment Approach

ERIC Educational Resources Information Center

Hu, Yiling; Wu, Bian; Gu, Xiaoqing

2017-01-01

Problem solving is considered a fundamental human skill. However, large-scale assessment of problem solving in K-12 education remains a challenging task. Researchers have argued for the development of an enhanced assessment approach through joint effort from multiple disciplines. In this study, a three-stage approach based on an evidence-centered…

Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization

PubMed Central

Zhu, Qingxin; Niu, Xinzheng

2016-01-01

By combining with sparse kernel methods, least-squares temporal difference (LSTD) algorithms can construct the feature dictionary automatically and obtain a better generalization ability. However, the previous kernel-based LSTD algorithms do not consider regularization and their sparsification processes are batch or offline, which hinder their widespread applications in online learning problems. In this paper, we combine the following five techniques and propose two novel kernel recursive LSTD algorithms: (i) online sparsification, which can cope with unknown state regions and be used for online learning, (ii) L 2 and L 1 regularization, which can avoid overfitting and eliminate the influence of noise, (iii) recursive least squares, which can eliminate matrix-inversion operations and reduce computational complexity, (iv) a sliding-window approach, which can avoid caching all history samples and reduce the computational cost, and (v) the fixed-point subiteration and online pruning, which can make L 1 regularization easy to implement. Finally, simulation results on two 50-state chain problems demonstrate the effectiveness of our algorithms. PMID:27436996

Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization.

PubMed

Zhang, Chunyuan; Zhu, Qingxin; Niu, Xinzheng

2016-01-01

By combining with sparse kernel methods, least-squares temporal difference (LSTD) algorithms can construct the feature dictionary automatically and obtain a better generalization ability. However, the previous kernel-based LSTD algorithms do not consider regularization and their sparsification processes are batch or offline, which hinder their widespread applications in online learning problems. In this paper, we combine the following five techniques and propose two novel kernel recursive LSTD algorithms: (i) online sparsification, which can cope with unknown state regions and be used for online learning, (ii) L 2 and L 1 regularization, which can avoid overfitting and eliminate the influence of noise, (iii) recursive least squares, which can eliminate matrix-inversion operations and reduce computational complexity, (iv) a sliding-window approach, which can avoid caching all history samples and reduce the computational cost, and (v) the fixed-point subiteration and online pruning, which can make L 1 regularization easy to implement. Finally, simulation results on two 50-state chain problems demonstrate the effectiveness of our algorithms.

Student Responses to a Flipped Introductory Physics Class with built-in Post-Video Feedback Quizzes

NASA Astrophysics Data System (ADS)

Ramos, Roberto

We present and analyze student responses to multiple Introductory physics classes in a university setting, taught in a ''flipped'' class format. The classes included algebra- and calculus-based introductory physics. Outside class, students viewed over 100 online video lectures on Classical Mechanics, Electricity and Magnetism, and Modern Physics prepared by this author and in some cases, by a third-party lecture package available over YouTube. Inside the class, students solved and discussed problems and conceptual issues in greater detail. A pre-class online quiz was deployed as an important source of feedback. I will report on the student reactions to the feedback mechanism, student responses using data based on anonymous surveys, as well as on learning gains from pre-/post- physics diagnostic tests. The results indicate a broad mixture of responses to different lecture video packages that depend on learning styles and perceptions. Students preferred the online quizzes as a mechanism to validate their understanding. The learning gains based on FCI and CSEM surveys were significant.

Autonomous reinforcement learning with experience replay.

PubMed

Wawrzyński, Paweł; Tanwani, Ajay Kumar

2013-05-01

This paper considers the issues of efficiency and autonomy that are required to make reinforcement learning suitable for real-life control tasks. A real-time reinforcement learning algorithm is presented that repeatedly adjusts the control policy with the use of previously collected samples, and autonomously estimates the appropriate step-sizes for the learning updates. The algorithm is based on the actor-critic with experience replay whose step-sizes are determined on-line by an enhanced fixed point algorithm for on-line neural network training. An experimental study with simulated octopus arm and half-cheetah demonstrates the feasibility of the proposed algorithm to solve difficult learning control problems in an autonomous way within reasonably short time. Copyright © 2012 Elsevier Ltd. All rights reserved.

Learning Outcomes in an Online vs Traditional Course

ERIC Educational Resources Information Center

Stack, Steven

2015-01-01

Relative enrollment in online classes has tripled over the last ten years, but the efficacy of learning online remains unclear. While two recent Meta analyses report higher exam grades for online vs. traditional classes, this body of research has been marked by two recurrent limitations: (1) a possible problem of selection bias wherein students…

Increasing Students' Science Writing Skills through a PBL Simulation

ERIC Educational Resources Information Center

Brown, Scott W.; Lawless, Kimberly A.; Rhoads, Christopher; Newton, Sarah D.; Lynn, Lisa

2016-01-01

Problem-based learning (PBL) is an instructional design approach for promoting student learning, in context-rich settings. GlobalEd 2 (GE2) is PBL intervention that combines face-to-face and online environments into a 12-week simulation of international negotiations of science advisors on global water resource issues. The GE2 environment is…

Wikis for a Collaborative Problem-Solving (CPS) Module for Secondary School Science

ERIC Educational Resources Information Center

DeWitt, Dorothy; Alias, Norlidah; Siraj, Saedah; Spector, Jonathan Michael

2017-01-01

Collaborative problem solving (CPS) can support online learning by enabling interactions for social and cognitive processes. Teachers may not have sufficient knowledge to support such interactions, so support needs to be designed into learning modules for this purpose. This study investigates to what extent an online module for teaching nutrition…

Online Low-Rank Representation Learning for Joint Multi-subspace Recovery and Clustering.

PubMed

Li, Bo; Liu, Risheng; Cao, Junjie; Zhang, Jie; Lai, Yu-Kun; Liua, Xiuping

2017-10-06

Benefiting from global rank constraints, the lowrank representation (LRR) method has been shown to be an effective solution to subspace learning. However, the global mechanism also means that the LRR model is not suitable for handling large-scale data or dynamic data. For large-scale data, the LRR method suffers from high time complexity, and for dynamic data, it has to recompute a complex rank minimization for the entire data set whenever new samples are dynamically added, making it prohibitively expensive. Existing attempts to online LRR either take a stochastic approach or build the representation purely based on a small sample set and treat new input as out-of-sample data. The former often requires multiple runs for good performance and thus takes longer time to run, and the latter formulates online LRR as an out-ofsample classification problem and is less robust to noise. In this paper, a novel online low-rank representation subspace learning method is proposed for both large-scale and dynamic data. The proposed algorithm is composed of two stages: static learning and dynamic updating. In the first stage, the subspace structure is learned from a small number of data samples. In the second stage, the intrinsic principal components of the entire data set are computed incrementally by utilizing the learned subspace structure, and the low-rank representation matrix can also be incrementally solved by an efficient online singular value decomposition (SVD) algorithm. The time complexity is reduced dramatically for large-scale data, and repeated computation is avoided for dynamic problems. We further perform theoretical analysis comparing the proposed online algorithm with the batch LRR method. Finally, experimental results on typical tasks of subspace recovery and subspace clustering show that the proposed algorithm performs comparably or better than batch methods including the batch LRR, and significantly outperforms state-of-the-art online methods.

CC-LR: Providing Interactive, Challenging and Attractive Collaborative Complex Learning Resources

ERIC Educational Resources Information Center

Caballé, S.; Mora, N.; Feidakis, M.; Gañán, D.; Conesa, J.; Daradoumis, T.; Prieto, J.

2014-01-01

Many researchers argue that students must be meaningfully engaged in the learning resources for effective learning to occur. However, current online learners still report a problematic lack of attractive and challenging learning resources that engage them in the learning process. This endemic problem is even more evident in online collaborative…

Utilization and acceptance of virtual patients in veterinary basic sciences - the vetVIP-project.

PubMed

Kleinsorgen, Christin; Kankofer, Marta; Gradzki, Zbigniew; Mandoki, Mira; Bartha, Tibor; von Köckritz-Blickwede, Maren; Naim, Hassan Y; Beyerbach, Martin; Tipold, Andrea; Ehlers, Jan P

2017-01-01

Context: In medical and veterinary medical education the use of problem-based and cased-based learning has steadily increased over time. At veterinary faculties, this development has mainly been evident in the clinical phase of the veterinary education. Therefore, a consortium of teachers of biochemistry and physiology together with technical and didactical experts launched the EU-funded project "vetVIP", to create and implement veterinary virtual patients and problems for basic science instruction. In this study the implementation and utilization of virtual patients occurred at the veterinary faculties in Budapest, Hannover and Lublin. Methods: This report describes the investigation of the utilization and acceptance of students studying veterinary basic sciences using optional online learning material concurrently to regular biochemistry and physiology didactic instruction. The reaction of students towards this offer of clinical case-based learning in basic sciences was analysed using quantitative and qualitative data. Quantitative data were collected automatically within the chosen software-system CASUS as user-log-files. Responses regarding the quality of the virtual patients were obtained using an online questionnaire. Furthermore, subjective evaluation by authors was performed using a focus group discussion and an online questionnaire. Results: Implementation as well as usage and acceptance varied between the three participating locations. High approval was documented in Hannover and Lublin based upon the high proportion of voluntary students (>70%) using optional virtual patients. However, in Budapest the participation rate was below 1%. Due to utilization, students seem to prefer virtual patients and problems created in their native language and developed at their own university. In addition, the statement that assessment drives learning was supported by the observation that peak utilization was just prior to summative examinations. Conclusion: Veterinary virtual patients in basic sciences can be introduced and used for the presentation of integrative clinical case scenarios. Student post-course comments also supported the conclusion that overall the virtual cases increased their motivation for learning veterinary basic sciences.

A reward optimization method based on action subrewards in hierarchical reinforcement learning.

PubMed

Fu, Yuchen; Liu, Quan; Ling, Xionghong; Cui, Zhiming

2014-01-01

Reinforcement learning (RL) is one kind of interactive learning methods. Its main characteristics are "trial and error" and "related reward." A hierarchical reinforcement learning method based on action subrewards is proposed to solve the problem of "curse of dimensionality," which means that the states space will grow exponentially in the number of features and low convergence speed. The method can reduce state spaces greatly and choose actions with favorable purpose and efficiency so as to optimize reward function and enhance convergence speed. Apply it to the online learning in Tetris game, and the experiment result shows that the convergence speed of this algorithm can be enhanced evidently based on the new method which combines hierarchical reinforcement learning algorithm and action subrewards. The "curse of dimensionality" problem is also solved to a certain extent with hierarchical method. All the performance with different parameters is compared and analyzed as well.

Teaching pathology via online digital microscopy: positive learning outcomes for rurally based medical students.

PubMed

Sivamalai, Sundram; Murthy, Shashidhar Venkatesh; Gupta, Tarun Sen; Woolley, Torres

2011-02-01

Technology has revolutionised teaching. Teaching pathology via digital microscopy (DM) is needed to overcome increasing student numbers, a shortage of pathology academics in regional medical schools, and difficulties with teaching students on rural clinical placement. To identify whether an online DM approach, combining digital pathology software, Web-based slides and classroom management software, delivers effective, practical pathology teaching sessions to medical students located both on campus and on rural placement. An online survey collected feedback from fourth and fifth year undergraduate James Cook University medical students on the importance of 16 listed benefits and challenges of using online DM to teach pathology, via a structured five-point Likert survey. Fifty-three students returned the survey (response rate = 33%). Benefits of online DM to teach pathology rated as 'very important' or 'extremely important' by over 50% of students included: higher quality images; faster learning; more convenient; better technology; everyone sees the same image; greater accessibility; helpful annotations on slides; cost savings; and more opportunity for self-paced learning out-of-hours and for collaborative learning in class. Challenges of online DM rated as 'very important' or 'extremely important' by over 50% of students included: Internet availability in more remote locations and potential problems using online technology during class. Nearly all medical students welcomed learning pathology via online digital technology. DM should improve the quantity, quality, cost and accessibility of pathology teaching by regional medical schools, and has significant implications for the growing emphasis in Australia for decentralised medical education and rural clinical placements. © 2011 The Authors. Australian Journal of Rural Health © National Rural Health Alliance Inc.

Remote-online case-based learning: A comparison of remote-online and face-to-face, case-based learning - a randomized controlled trial.

PubMed

Nicklen, Peter; Keating, Jenny L; Paynter, Sophie; Storr, Michael; Maloney, Stephen

2016-01-01

Case-based learning (CBL) is an educational approach where students work in small, collaborative groups to solve problems. Computer assisted learning (CAL) is the implementation of computer technology in education. The purpose of this study was to compare the effects of a remote-online CBL (RO-CBL) with traditional face-to-face CBL on learning the outcomes of undergraduate physiotherapy students. Participants were randomized to either the control (face-to-face CBL) or to the CAL intervention (RO-CBL). The entire 3rd year physiotherapy cohort (n = 41) at Monash University, Victoria, Australia, were invited to participate in the randomized controlled trial. Outcomes included a postintervention multiple-choice test evaluating the knowledge gained from the CBL, a self-assessment of learning based on examinable learning objectives and student satisfaction with the CBL. In addition, a focus group was conducted investigating perceptions and responses to the online format. Thirty-eight students (control n = 19, intervention n = 19) participated in two CBL sessions and completed the outcome assessments. CBL median scores for the postintervention multiple-choice test were comparable (Wilcoxon rank sum P = 0.61) (median/10 [range] intervention group: 9 [8-10] control group: 10 [7-10]). Of the 15 examinable learning objectives, eight were significantly in favor of the control group, suggesting a greater perceived depth of learning. Eighty-four percent of students (16/19) disagreed with the statement "I enjoyed the method of CBL delivery." Key themes identified from the focus group included risks associated with the implementation of, challenges of communicating in, and flexibility offered, by web-based programs. RO-CBL appears to provide students with a comparable learning experience to traditional CBL. Procedural and infrastructure factors need to be addressed in future studies to counter student dissatisfaction and decreased perceived depth of learning.

The NASA SCI Files[TM]: The Case of the Shaky Quake. A Lesson Guide with Activities in Mathematics, Science, and Technology.

ERIC Educational Resources Information Center

Ricles, Shannon

The NASA SCI Files is a series of instructional programs consisting of broadcast, print, and online elements emphasizing standards-based instruction, problem-based learning, and science as inquiry. The series seeks to motivate students in grades 3-5 to become critical thinkers and active problem solvers. In this program, the tree house detectives…

Online learning control using adaptive critic designs with sparse kernel machines.

PubMed

Xu, Xin; Hou, Zhongsheng; Lian, Chuanqiang; He, Haibo

2013-05-01

In the past decade, adaptive critic designs (ACDs), including heuristic dynamic programming (HDP), dual heuristic programming (DHP), and their action-dependent ones, have been widely studied to realize online learning control of dynamical systems. However, because neural networks with manually designed features are commonly used to deal with continuous state and action spaces, the generalization capability and learning efficiency of previous ACDs still need to be improved. In this paper, a novel framework of ACDs with sparse kernel machines is presented by integrating kernel methods into the critic of ACDs. To improve the generalization capability as well as the computational efficiency of kernel machines, a sparsification method based on the approximately linear dependence analysis is used. Using the sparse kernel machines, two kernel-based ACD algorithms, that is, kernel HDP (KHDP) and kernel DHP (KDHP), are proposed and their performance is analyzed both theoretically and empirically. Because of the representation learning and generalization capability of sparse kernel machines, KHDP and KDHP can obtain much better performance than previous HDP and DHP with manually designed neural networks. Simulation and experimental results of two nonlinear control problems, that is, a continuous-action inverted pendulum problem and a ball and plate control problem, demonstrate the effectiveness of the proposed kernel ACD methods.

The Effect of Student Collaboration in Solving Physics Problems Using an Online Interactive Response System

ERIC Educational Resources Information Center

Balta, Nuri; Awedh, Mohammad Hamza

2017-01-01

Advanced technology helps educational institutes to improve student learning performance and outcomes. In this study, our aim is to measure and assess student engagement and collaborative learning in engineering classes when using online technology in solving physics problems. The interactive response system used in this study is a collaborative…

Education problems and Web-based teaching: how it impacts dental educators?

PubMed

Clark, G T

2001-01-01

This article looks at six problems that vex educators and how web-based teaching might help solve them. These problems include: (1) limited access to educational content, (2) need for asynchronous access to educational content, (3) depth and diversity of educational content, (4) training in complex problem solving, (5) promotion of lifelong learning behaviors and (6) achieving excellence in education. The advantages and disadvantage of web-based educational content for each problem are discussed. The article suggests that when a poorly organized course with inaccurate and irrelevant content is placed online, it solves no problems. However some of the above issues can be partially or fully solved by hosting well-constructed teaching modules on the web. This article also reviews the literature investigating the efficacy of off-site education as compared to that provided on-site. The conclusion of this review is that teleconference-based and web-based delivery of educational content can be as effective as traditional classroom-based teaching assuming the technologic problems sometimes associated with delivering teaching content to off-site locations do not interfere in the learning process. A suggested hierarchy for rating and comparing e-learning concepts and methods is presented for consideration.

Effectiveness of Just in Time Teaching on Student Achievement in an Introductory Thermodynamics Course

ERIC Educational Resources Information Center

Liberatore, Matthew W.; Morrish, Rachel M.; Vestal, Charles R.

2017-01-01

The utility of Just-In-Time-Teaching (JITT) is compared across course topics and groups of students not receiving JITT exercises in class. JITT feedback incorporated various active learning exercises based on students' performance on online homework problems from Sapling Learning. With over 200 students in two sections participating in the…

Practical Teaching Programme Online: Overcoming Communication Issues (Learning from the Experience of PKPG Teaching Practice Website in UNIMAS).

ERIC Educational Resources Information Center

NoorShah, Mohd Salleh

2001-01-01

Describes the use of a Web-based learning environment for practice teaching at the Universiti Malaysia Sarawak (UNIMAS). Topics include overcoming communication problems between student teachers and between students and instructors; participation rates; and the Program Khas Pensiswazahan Guru (PKPG) program, an inservice course for nongraduate…

A resident conference for systems-based practice and practice-based learning.

PubMed

Sultana, Carmen J; Baxter, Jason K

2011-02-01

Improving patient safety and quality of care is part of systems-based practice and practice-based learning for residents. We expanded our obstetrics and gynecology department's regularly scheduled morbidity and mortality conferences to teach quality assurance concepts based on patient care on obstetrics and gynecology fourth-year resident rotations. Obstetrics and gynecology fourth-year residents on one of the two rotations each presented and analyzed a systems-based problem they encountered during patient care. They used an online learning module and proposed solutions, many of which were effectively implemented. Over 5 years, case presentations from 33 conferences were available with problems identified in emergency preparedness, coordination of care, scheduling and supervision, communication, medical practice, documentation, and lack of equipment or facilities. Twenty-two of the suggested solutions were partially or totally implemented. Barriers to implementation were identified. In conclusion, a conference presentation by fourth-year residents can identify patient safety problems, aid in their resolution, and suggest changes to patient care while teaching the principles of systems-based practice and practice-based learning.

A Framework for Supporting Postsecondary Learners with Psychiatric Disabilities in Online Environments

ERIC Educational Resources Information Center

Grabinger, Scott

2010-01-01

Elena has a psychiatric disability: bipolar (manic/depressive) disorder. Daniele suffers from depression. Both are serious cognitive disorders that have significant effects on learning, especially learning online. One of the problems students with psychiatric disabilities encounter is finding support in online environments, especially when 10, 50,…

Development of the Student Expectations of Online Learning Survey (SEOLS): A Pilot Study

ERIC Educational Resources Information Center

Harris, Sandra M.; Larrier, Yvonne I.; Castano-Bishop, Marianne

2011-01-01

The problem of attrition in online learning has drawn attention from distance education administrators and chief academic officers of higher education institutions. Many studies have addressed factors related to student attrition, persistence and retention in online courses. However, few studies have examined how student expectations influence…

Three Problems with the Connectivist Conception of Learning

ERIC Educational Resources Information Center

Clarà, M.; Barberà, E.

2014-01-01

Connectivism, which has been argued to be a new learning theory, has emerged in the field of online learning during the last decade. On the World Wide Web at least, connectivism promises to establish learning spaces similar to those that Ivan Illich imagined in "Deschooling Society", through so-called massive online open courses (MOOCs).…

Moving beyond Bricks and Mortar: Changing the Conversation on Online Education

ERIC Educational Resources Information Center

Miller, Teresa; Ribble, Michael

2010-01-01

Online learning has changed education in many ways. This change was not mandated, but instead filled a need expressed by students. A problem with this shift toward online teaching is that it has happened randomly and irregularly within K-12 systems. Demands from students for online learning at both K-12 and higher education levels have not always…

Optimal and Autonomous Control Using Reinforcement Learning: A Survey.

PubMed

Kiumarsi, Bahare; Vamvoudakis, Kyriakos G; Modares, Hamidreza; Lewis, Frank L

2018-06-01

This paper reviews the current state of the art on reinforcement learning (RL)-based feedback control solutions to optimal regulation and tracking of single and multiagent systems. Existing RL solutions to both optimal and control problems, as well as graphical games, will be reviewed. RL methods learn the solution to optimal control and game problems online and using measured data along the system trajectories. We discuss Q-learning and the integral RL algorithm as core algorithms for discrete-time (DT) and continuous-time (CT) systems, respectively. Moreover, we discuss a new direction of off-policy RL for both CT and DT systems. Finally, we review several applications.

Kernel-based least squares policy iteration for reinforcement learning.

PubMed

Xu, Xin; Hu, Dewen; Lu, Xicheng

2007-07-01

In this paper, we present a kernel-based least squares policy iteration (KLSPI) algorithm for reinforcement learning (RL) in large or continuous state spaces, which can be used to realize adaptive feedback control of uncertain dynamic systems. By using KLSPI, near-optimal control policies can be obtained without much a priori knowledge on dynamic models of control plants. In KLSPI, Mercer kernels are used in the policy evaluation of a policy iteration process, where a new kernel-based least squares temporal-difference algorithm called KLSTD-Q is proposed for efficient policy evaluation. To keep the sparsity and improve the generalization ability of KLSTD-Q solutions, a kernel sparsification procedure based on approximate linear dependency (ALD) is performed. Compared to the previous works on approximate RL methods, KLSPI makes two progresses to eliminate the main difficulties of existing results. One is the better convergence and (near) optimality guarantee by using the KLSTD-Q algorithm for policy evaluation with high precision. The other is the automatic feature selection using the ALD-based kernel sparsification. Therefore, the KLSPI algorithm provides a general RL method with generalization performance and convergence guarantee for large-scale Markov decision problems (MDPs). Experimental results on a typical RL task for a stochastic chain problem demonstrate that KLSPI can consistently achieve better learning efficiency and policy quality than the previous least squares policy iteration (LSPI) algorithm. Furthermore, the KLSPI method was also evaluated on two nonlinear feedback control problems, including a ship heading control problem and the swing up control of a double-link underactuated pendulum called acrobot. Simulation results illustrate that the proposed method can optimize controller performance using little a priori information of uncertain dynamic systems. It is also demonstrated that KLSPI can be applied to online learning control by incorporating an initial controller to ensure online performance.

A Cybernetic Design Methodology for 'Intelligent' Online Learning Support

NASA Astrophysics Data System (ADS)

Quinton, Stephen R.

The World Wide Web (WWW) provides learners and knowledge workers convenient access to vast stores of information, so much that present methods for refinement of a query or search result are inadequate - there is far too much potentially useful material. The problem often encountered is that users usually do not recognise what may be useful until they have progressed some way through the discovery, learning, and knowledge acquisition process. Additional support is needed to structure and identify potentially relevant information, and to provide constructive feedback. In short, support for learning is needed. The learning envisioned here is not simply the capacity to recall facts or to recognise objects. The focus is on learning that results in the construction of knowledge. Although most online learning platforms are efficient at delivering information, most do not provide tools that support learning as envisaged in this chapter. It is conceivable that Web-based learning environments can incorporate software systems that assist learners to form new associations between concepts and synthesise information to create new knowledge. This chapter details the rationale and theory behind a research study that aims to evolve Web-based learning environments into 'intelligent thinking' systems that respond to natural language human input. Rather than functioning simply as a means of delivering information, it is argued that online learning solutions will 1 day interact directly with students to support their conceptual thinking and cognitive development.

Probabilities and Predictions: Modeling the Development of Scientific Problem-Solving Skills

ERIC Educational Resources Information Center

Stevens, Ron; Johnson, David F.; Soller, Amy

2005-01-01

The IMMEX (Interactive Multi-Media Exercises) Web-based problem set platform enables the online delivery of complex, multimedia simulations, the rapid collection of student performance data, and has already been used in several genetic simulations. The next step is the use of these data to understand and improve student learning in a formative…

"No Child Left Untested [sic]" Battle or Battle Cry Guiding Research and Practice? Making Research User-Friendly.

ERIC Educational Resources Information Center

Hough, David L.

2003-01-01

Critiques five articles from an online research journal in middle-level education on mathematical problem solving, social inclusion of students with disabilities in physical education, school and dispositional aggression among middle school boys, problem-based learning, and students' views of futuristics. Asserts that embracing the view that all…

Blended learning in health education: three case studies.

PubMed

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.

Student Perceptions of Online Learning and Persistence for Course Completion

ERIC Educational Resources Information Center

Snyder, Jill

2014-01-01

This qualitative case study was designed to explore students' perceptions of online learning at a small rural community college to understand what factors impacted their persistence in coursework. The research problem dealt with retention rates in online courses, which were lower than in face-to-face courses. Despite extensive quantitative…

An Examination of Online Instructional Practices Based on the Learning Styles of Graduate Education Students

ERIC Educational Resources Information Center

Tonsing-Meyer, Julie

2013-01-01

The purpose of this qualitative case study was to understand the perceptions of online learning based on the learning styles of currently enrolled online graduate education students. Designing courses to provide meaningful experiences based on the learning styles of students, as well as the unique approaches to teaching online is a contemporary…

Improved semi-supervised online boosting for object tracking

NASA Astrophysics Data System (ADS)

Li, Yicui; Qi, Lin; Tan, Shukun

2016-10-01

The advantage of an online semi-supervised boosting method which takes object tracking problem as a classification problem, is training a binary classifier from labeled and unlabeled examples. Appropriate object features are selected based on real time changes in the object. However, the online semi-supervised boosting method faces one key problem: The traditional self-training using the classification results to update the classifier itself, often leads to drifting or tracking failure, due to the accumulated error during each update of the tracker. To overcome the disadvantages of semi-supervised online boosting based on object tracking methods, the contribution of this paper is an improved online semi-supervised boosting method, in which the learning process is guided by positive (P) and negative (N) constraints, termed P-N constraints, which restrict the labeling of the unlabeled samples. First, we train the classification by an online semi-supervised boosting. Then, this classification is used to process the next frame. Finally, the classification is analyzed by the P-N constraints, which are used to verify if the labels of unlabeled data assigned by the classifier are in line with the assumptions made about positive and negative samples. The proposed algorithm can effectively improve the discriminative ability of the classifier and significantly alleviate the drifting problem in tracking applications. In the experiments, we demonstrate real-time tracking of our tracker on several challenging test sequences where our tracker outperforms other related on-line tracking methods and achieves promising tracking performance.

Implementing the Flipped Classroom in a Veterinary Pre-clinical Science Course: Student Engagement, Performance, and Satisfaction.

PubMed

Dooley, Laura M; Frankland, Sarah; Boller, Elise; Tudor, Elizabeth

2018-01-01

There has been a recent move toward active learning pedagogies in veterinary education, with increasing use of a blended approach that incorporates both online resources and live classroom sessions. In this study, an established veterinary pre-clinical course in introductory animal health was transitioned from a traditional didactic lecture delivery mode to a flipped classroom approach with core content delivered online. This study compared the experiences of two cohorts of students who studied the same course in the different formats in consecutive years. Online learning resources included short video segments and a variety of short problems and activities. Online materials were complemented with weekly small-group case-based learning classes facilitated by academic staff. A mixed methods evaluation strategy was applied using student grades, surveys, and focus groups to compare student academic performance, satisfaction, and engagement between the two cohorts. The flipped classroom cohort achieved significantly higher grades in the written answer section of the final examination. Student satisfaction with learning resources was also higher in this cohort. However, satisfaction with other aspects of the course was largely the same for both cohorts. This study revealed some of the challenges associated with achieving adequate student preparation for class using online resources. The outcomes of this study have implications for veterinary educators considering the design and development of new online learning resources.

The Development of Innovative Online Problem-Based Learning: A Leadership Course for Leaders in European Public Health

ERIC Educational Resources Information Center

de Jong, Nynke; Könings, Karen D.; Czabanowska, Katarzyna

2014-01-01

The shift to a knowledge information society has given rise to a need for lifelong learning programmes. Such programmes are especially relevant for public health professionals, whose dynamic field of practice is subject to changes due to rapidly developing technologies, evolving expectations of the labour market and new health treats. Lifelong…

Computer-Based Internet-Hosted Assessment of L2 Literacy: Computerizing and Administering of the Oxford Quick Placement Test in ExamView and Moodle

NASA Astrophysics Data System (ADS)

Meurant, Robert C.

Sorting of Korean English-as-a-Foreign-Language (EFL) university students by Second Language (L2) aptitude allocates students to classes of compatible ability level, and was here used to screen candidates for interview. Paper-and-pen versions of the Oxford Quick Placement Test were adapted to computer-based testing via online hosting using FSCreations ExamView. Problems with their online hosting site led to conversion to the popular computer-based learning management system Moodle, hosted on www.ninehub.com. 317 sophomores were tested online to encourage L2 digital literacy. Strategies for effective hybrid implementation of Learning Management Systems in L2 tertiary education include computer-based Internet-hosted L2 aptitude tests. These potentially provide a convenient measure of student progress in developing L2 fluency, and offer a more objective and relevant means of teacher- and course-assessment than student evaluations, which tend to confuse entertainment value and teacher popularity with academic credibility and pedagogical effectiveness.

Online Sequential Projection Vector Machine with Adaptive Data Mean Update

PubMed Central

Chen, Lin; Jia, Ji-Ting; Zhang, Qiong; Deng, Wan-Yu; Wei, Wei

2016-01-01

We propose a simple online learning algorithm especial for high-dimensional data. The algorithm is referred to as online sequential projection vector machine (OSPVM) which derives from projection vector machine and can learn from data in one-by-one or chunk-by-chunk mode. In OSPVM, data centering, dimension reduction, and neural network training are integrated seamlessly. In particular, the model parameters including (1) the projection vectors for dimension reduction, (2) the input weights, biases, and output weights, and (3) the number of hidden nodes can be updated simultaneously. Moreover, only one parameter, the number of hidden nodes, needs to be determined manually, and this makes it easy for use in real applications. Performance comparison was made on various high-dimensional classification problems for OSPVM against other fast online algorithms including budgeted stochastic gradient descent (BSGD) approach, adaptive multihyperplane machine (AMM), primal estimated subgradient solver (Pegasos), online sequential extreme learning machine (OSELM), and SVD + OSELM (feature selection based on SVD is performed before OSELM). The results obtained demonstrated the superior generalization performance and efficiency of the OSPVM. PMID:27143958

Online Sequential Projection Vector Machine with Adaptive Data Mean Update.

PubMed

Chen, Lin; Jia, Ji-Ting; Zhang, Qiong; Deng, Wan-Yu; Wei, Wei

2016-01-01

We propose a simple online learning algorithm especial for high-dimensional data. The algorithm is referred to as online sequential projection vector machine (OSPVM) which derives from projection vector machine and can learn from data in one-by-one or chunk-by-chunk mode. In OSPVM, data centering, dimension reduction, and neural network training are integrated seamlessly. In particular, the model parameters including (1) the projection vectors for dimension reduction, (2) the input weights, biases, and output weights, and (3) the number of hidden nodes can be updated simultaneously. Moreover, only one parameter, the number of hidden nodes, needs to be determined manually, and this makes it easy for use in real applications. Performance comparison was made on various high-dimensional classification problems for OSPVM against other fast online algorithms including budgeted stochastic gradient descent (BSGD) approach, adaptive multihyperplane machine (AMM), primal estimated subgradient solver (Pegasos), online sequential extreme learning machine (OSELM), and SVD + OSELM (feature selection based on SVD is performed before OSELM). The results obtained demonstrated the superior generalization performance and efficiency of the OSPVM.

Disabilities and e-Learning Problems and Solutions: An Exploratory Study

ERIC Educational Resources Information Center

Fichten, Catherine S.; Ferraro, Vittoria; Asuncion, Jennison V.; Chwojka, Caroline; Barile, Maria; Nguyen, Mai N.; Klomp, Ryan; Wolforth, Joan

2009-01-01

This study explored e-learning problems and solutions reported by 223 students with disabilities, 58 campus disability service providers, 28 professors, and 33 e-learning professionals from Canadian colleges and universities. All four groups indicated, via online questionnaires, problems with: accessibility of websites and course/learning…

Using Interactive Digital Images of Products to Teach Pharmaceutics

PubMed Central

Pham, Khang H.; Dollar,, Michael

2007-01-01

Objective To implement interactive digital images of drug products and online quizzes in a pharmaceutics course to teach students where to look on product labels for information and how to evaluate ingredients of various dosage forms, and to reinforce pharmaceutical calculations with practical problems. Design Interactive digital images of drug products and a database of quiz questions pertaining to the products were created and an interactive online platform was designed. The interactive digital images were incorporated in pharmaceutics lectures as examples of dosage forms studied and calculations taught. The online quizzes were administered to first-professional year pharmacy students in fall 2004 and fall 2005. Assessment The competency outcome data illustrates that the product-based online quizzes aided students in meeting the desired learning objectives. Modifications to increase ease of use resulted in higher student success rates in the second year of implementation. Student and faculty evaluations of the application were largely positive. Conclusion The development of interactive digital images and product-based online quizzes successfully adapted a traditional learning aid into a viable electronic resource for pharmacy education. PMID:17619660

[Problem-based learning, description of a pedagogical method leading to evidence-based medicine].

PubMed

Chalon, P; Delvenne, C; Pasleau, F

2000-04-01

Problem-Based Learning is an educational method which uses health care scenarios to provide a context for learning and to elaborate knowledge through discussion. Additional expectations are to stimulate critical thinking and problem-solving skills, and to develop clinical reasoning taking into account the patient's psychosocial environment and preferences, the economic requirements as well as the best evidence from biomedical research. Appearing at the end of the 60's, it has been adopted by 10% of medical schools world-wide. PBL follows the same rules as Evidence-Based Medicine but is student-centered and provides the information-seeking skills necessary for self-directed life long learning. In this short article, we review the theoretical basis and process of PBL, emphasizing the teacher-student relationship and discussing the suggested advantages and disadvantages of this curriculum. Students in PBL programs make greater use of self-selected references and online searching. From this point of view, PBL strengthens the role of health libraries in medical education, and prepares the future physician for Evidence-Based Medicine.

Self-supervised online metric learning with low rank constraint for scene categorization.

PubMed

Cong, Yang; Liu, Ji; Yuan, Junsong; Luo, Jiebo

2013-08-01

Conventional visual recognition systems usually train an image classifier in a bath mode with all training data provided in advance. However, in many practical applications, only a small amount of training samples are available in the beginning and many more would come sequentially during online recognition. Because the image data characteristics could change over time, it is important for the classifier to adapt to the new data incrementally. In this paper, we present an online metric learning method to address the online scene recognition problem via adaptive similarity measurement. Given a number of labeled data followed by a sequential input of unseen testing samples, the similarity metric is learned to maximize the margin of the distance among different classes of samples. By considering the low rank constraint, our online metric learning model not only can provide competitive performance compared with the state-of-the-art methods, but also guarantees convergence. A bi-linear graph is also defined to model the pair-wise similarity, and an unseen sample is labeled depending on the graph-based label propagation, while the model can also self-update using the more confident new samples. With the ability of online learning, our methodology can well handle the large-scale streaming video data with the ability of incremental self-updating. We evaluate our model to online scene categorization and experiments on various benchmark datasets and comparisons with state-of-the-art methods demonstrate the effectiveness and efficiency of our algorithm.

Emerging Approach of Natural Language Processing in Opinion Mining: A Review

NASA Astrophysics Data System (ADS)

Kim, Tai-Hoon

Natural language processing (NLP) is a subfield of artificial intelligence and computational linguistics. It studies the problems of automated generation and understanding of natural human languages. This paper outlines a framework to use computer and natural language techniques for various levels of learners to learn foreign languages in Computer-based Learning environment. We propose some ideas for using the computer as a practical tool for learning foreign language where the most of courseware is generated automatically. We then describe how to build Computer Based Learning tools, discuss its effectiveness, and conclude with some possibilities using on-line resources.

A systematic review of online learning programs for nurse preceptors.

PubMed

Wu, Xi Vivien; Chan, Yah Shih; Tan, Kimberlyn Hui Shing; Wang, Wenru

2018-01-01

Nurse preceptors guide students to integrate theory into practice, teach clinical skills, assess clinical competency, and enhance problem solving skills. Managing the dual roles of a registered nurse and preceptor poses tremendous challenges to many preceptors. Online learning is recognized as an effective learning approach for enhancing nursing knowledge and skills. The systematic review aims to review and synthesise the online learning programs for preceptors. A systematic review was designed based on the Cochrane Handbook for Systematic Reviews of Programs. Articles published between January 2000 and June 2016 were sought from six electronic databases: CINAHL, Medline OVID, PubMed, Science Direct, Scopus, and Web of Science. All papers were reviewed and quality assessment was performed. Nine studies were finally selected. Data were extracted, organized and analysed using a narrative synthesis. The review identified five overarching themes: development of the online learning programs for nurse preceptors, major contents of the programs, uniqueness of each program, modes of delivery, and outcomes of the programs. The systematic review provides insightful information on educational programs for preceptors. At this information age, online learning offers accessibility, convenience, flexibility, which could of great advantage for the working adults. In addition, the online platform provides an alternative for preceptors who face challenges of workload, time, and support system. Therefore, it is paramount that continuing education courses need to be integrated with technology, increase the flexibility and responsiveness of the nursing workforce, and offer alternative means to take up courses. Copyright © 2017 Elsevier Ltd. All rights reserved.

A Problem in Online Interpersonal Skills Training: Do Learners Practice Skills?

ERIC Educational Resources Information Center

Doo, Min Young

2006-01-01

One problem found when teaching interpersonal skills online is learners' lack of opportunity for skill practice. The online learning environment is deficient in face-to-face interaction, and opportunities for self-regulation make it difficult to ensure learners practice skills despite the positive effects of such practice on skill improvement. The…

Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection

PubMed Central

Wang, Tian; Chen, Jie; Zhou, Yi; Snoussi, Hichem

2013-01-01

The abnormal event detection problem is an important subject in real-time video surveillance. In this paper, we propose a novel online one-class classification algorithm, online least squares one-class support vector machine (online LS-OC-SVM), combined with its sparsified version (sparse online LS-OC-SVM). LS-OC-SVM extracts a hyperplane as an optimal description of training objects in a regularized least squares sense. The online LS-OC-SVM learns a training set with a limited number of samples to provide a basic normal model, then updates the model through remaining data. In the sparse online scheme, the model complexity is controlled by the coherence criterion. The online LS-OC-SVM is adopted to handle the abnormal event detection problem. Each frame of the video is characterized by the covariance matrix descriptor encoding the moving information, then is classified into a normal or an abnormal frame. Experiments are conducted, on a two-dimensional synthetic distribution dataset and a benchmark video surveillance dataset, to demonstrate the promising results of the proposed online LS-OC-SVM method. PMID:24351629

Online least squares one-class support vector machines-based abnormal visual event detection.

PubMed

Wang, Tian; Chen, Jie; Zhou, Yi; Snoussi, Hichem

2013-12-12

The abnormal event detection problem is an important subject in real-time video surveillance. In this paper, we propose a novel online one-class classification algorithm, online least squares one-class support vector machine (online LS-OC-SVM), combined with its sparsified version (sparse online LS-OC-SVM). LS-OC-SVM extracts a hyperplane as an optimal description of training objects in a regularized least squares sense. The online LS-OC-SVM learns a training set with a limited number of samples to provide a basic normal model, then updates the model through remaining data. In the sparse online scheme, the model complexity is controlled by the coherence criterion. The online LS-OC-SVM is adopted to handle the abnormal event detection problem. Each frame of the video is characterized by the covariance matrix descriptor encoding the moving information, then is classified into a normal or an abnormal frame. Experiments are conducted, on a two-dimensional synthetic distribution dataset and a benchmark video surveillance dataset, to demonstrate the promising results of the proposed online LS-OC-SVM method.

Review and evaluation of online tobacco dependence treatment training programs for health care practitioners.

PubMed

Selby, Peter; Goncharenko, Karina; Barker, Megan; Fahim, Myra; Timothy, Valerie; Dragonetti, Rosa; Kemper, Katherine; Herie, Marilyn; Hays, J Taylor

2015-04-17

Training health care professionals is associated with increased capacity to deliver evidence-based smoking cessation interventions and increased quit rates among their patients. Online training programs hold promise to provide training but questions remain regarding the quality and usability of available programs. The aim was to assess the quality of English-language online courses in tobacco dependence treatment using a validated instrument. An environmental scan was conducted using the Google search engine to identify available online tobacco dependence treatment courses. The identified courses were then evaluated using the Peer Review Rubric for Online Learning, which was selected based on its ability to evaluate instructional design. It also has clear and concise criteria descriptions to ensure uniformity of evaluations by trained experts. A total of 39 courses were identified, of which 24 unique courses were assessed based on their accessibility and functionality during the period of evaluation. Overall, the course ratings indicated that 17 of 24 courses evaluated failed to meet minimal quality standards and none of the courses evaluated could be ranked as superior. However, many excelled in providing effective navigation, course rationale, and content. Many were weak in the use of instructional design elements, such as teaching effectiveness, learning strategies, instructor's role, and assessment and evaluation. Evaluation results and suggestions for improvement were shared with course administrators. Based on the courses evaluated in this review, course developers are encouraged to employ best practices in instructional design, such as cohesiveness of material, linearity of design, practice exercises, problem solving, and ongoing evaluation to improve existing courses and in the design of new online learning opportunities.

The Role of Online Homework in Low-Enrollment College Introductory Physics Courses

ERIC Educational Resources Information Center

Lazarova, Krassi

2015-01-01

Studying physics for nonphysics majors at college level is usually a process of learning new problem-solving skills and sometimes seems a frustrating experience. In an attempt to provide students with more learning resources, online homework was required to supplement the instruction. This study reveals the role of the online homework assignments…

Facilitating Cooperative Learning in Online and Blended Courses: An Example from an Integrated Marketing Communications Course

ERIC Educational Resources Information Center

Johnson, Katryna

2013-01-01

Employers today expect that students will be able to work in teams. Cooperative learning theory addresses how skills such as decision making, problem solving and communication can be learned by individuals in group settings. This paper discusses how cooperative learning can be used in an online and blended environment to increase active learning…

Budgeted Interactive Learning

DTIC Science & Technology

2017-06-15

the methodology of reducing the online-algorithm-selecting problem as a contextual bandit problem, which is yet another interactive learning...KH2016a] Kuan-Hao Huang and Hsuan-Tien Lin. Linear upper confidence bound algorithm for contextual bandit problem with piled rewards. In Proceedings

Neural network based online simultaneous policy update algorithm for solving the HJI equation in nonlinear H∞ control.

PubMed

Wu, Huai-Ning; Luo, Biao

2012-12-01

It is well known that the nonlinear H∞ state feedback control problem relies on the solution of the Hamilton-Jacobi-Isaacs (HJI) equation, which is a nonlinear partial differential equation that has proven to be impossible to solve analytically. In this paper, a neural network (NN)-based online simultaneous policy update algorithm (SPUA) is developed to solve the HJI equation, in which knowledge of internal system dynamics is not required. First, we propose an online SPUA which can be viewed as a reinforcement learning technique for two players to learn their optimal actions in an unknown environment. The proposed online SPUA updates control and disturbance policies simultaneously; thus, only one iterative loop is needed. Second, the convergence of the online SPUA is established by proving that it is mathematically equivalent to Newton's method for finding a fixed point in a Banach space. Third, we develop an actor-critic structure for the implementation of the online SPUA, in which only one critic NN is needed for approximating the cost function, and a least-square method is given for estimating the NN weight parameters. Finally, simulation studies are provided to demonstrate the effectiveness of the proposed algorithm.

Online Collaborative Learning in a Project-Based Learning Environment in Taiwan: A Case Study on Undergraduate Students' Perspectives

ERIC Educational Resources Information Center

Zhang, Ke; Peng, Shiang Wuu; Hung, Jui-long

2009-01-01

This case study investigated undergraduate students' first experience in online collaborative learning in a project-based learning (PBL) environment in Taiwan. Data were collected through interviews of 48 students, instructor's field notes, researchers' online observations, students' online discourse, and group artifacts. The findings revealed…

Machine Learning Methods for Attack Detection in the Smart Grid.

PubMed

Ozay, Mete; Esnaola, Inaki; Yarman Vural, Fatos Tunay; Kulkarni, Sanjeev R; Poor, H Vincent

2016-08-01

Attack detection problems in the smart grid are posed as statistical learning problems for different attack scenarios in which the measurements are observed in batch or online settings. In this approach, machine learning algorithms are used to classify measurements as being either secure or attacked. An attack detection framework is provided to exploit any available prior knowledge about the system and surmount constraints arising from the sparse structure of the problem in the proposed approach. Well-known batch and online learning algorithms (supervised and semisupervised) are employed with decision- and feature-level fusion to model the attack detection problem. The relationships between statistical and geometric properties of attack vectors employed in the attack scenarios and learning algorithms are analyzed to detect unobservable attacks using statistical learning methods. The proposed algorithms are examined on various IEEE test systems. Experimental analyses show that machine learning algorithms can detect attacks with performances higher than attack detection algorithms that employ state vector estimation methods in the proposed attack detection framework.

Exploring Small Group Analysis of Instructional Design Cases in Online Learning Environments

ERIC Educational Resources Information Center

Trespalacios, Jesus

2017-01-01

The case-based approach is a constructivist instructional strategy that helps students apply their emerging knowledge by studying design problems in authentic real-world situations. One important instructional strategy in case-based instruction is to analyze cases in small groups before discussing them with the whole class. This study investigates…

Actor-critic-based optimal tracking for partially unknown nonlinear discrete-time systems.

PubMed

Kiumarsi, Bahare; Lewis, Frank L

2015-01-01

This paper presents a partially model-free adaptive optimal control solution to the deterministic nonlinear discrete-time (DT) tracking control problem in the presence of input constraints. The tracking error dynamics and reference trajectory dynamics are first combined to form an augmented system. Then, a new discounted performance function based on the augmented system is presented for the optimal nonlinear tracking problem. In contrast to the standard solution, which finds the feedforward and feedback terms of the control input separately, the minimization of the proposed discounted performance function gives both feedback and feedforward parts of the control input simultaneously. This enables us to encode the input constraints into the optimization problem using a nonquadratic performance function. The DT tracking Bellman equation and tracking Hamilton-Jacobi-Bellman (HJB) are derived. An actor-critic-based reinforcement learning algorithm is used to learn the solution to the tracking HJB equation online without requiring knowledge of the system drift dynamics. That is, two neural networks (NNs), namely, actor NN and critic NN, are tuned online and simultaneously to generate the optimal bounded control policy. A simulation example is given to show the effectiveness of the proposed method.

Strategies to Enhance Online Learning Teams. Team Assessment and Diagnostics Instrument and Agent-based Modeling

DTIC Science & Technology

2010-08-12

Strategies to Enhance Online Learning Teams Team Assessment and Diagnostics Instrument and Agent-based Modeling Tristan E. Johnson, Ph.D. Learning ...REPORT DATE AUG 2010 2. REPORT TYPE 3. DATES COVERED 00-00-2010 to 00-00-2010 4. TITLE AND SUBTITLE Strategies to Enhance Online Learning ...TeamsTeam Strategies to Enhance Online Learning Teams: Team Assessment and Diagnostics Instrument and Agent-based Modeling 5a. CONTRACT NUMBER 5b. GRANT

Collaborative distance learning: Developing an online learning community

NASA Astrophysics Data System (ADS)

Stoytcheva, Maria

2017-12-01

The method of collaborative distance learning has been applied for years in a number of distance learning courses, but they are relatively few in foreign language learning. The context of this research is a hybrid distance learning of French for specific purposes, delivered through the platform UNIV-RcT (Strasbourg University), which combines collaborative activities for the realization of a common problem-solving task online. The study focuses on a couple of aspects: on-line interactions carried out in small, tutored groups and the process of community building online. By analyzing the learner's perceptions of community and collaborative learning, we have tried to understand the process of building and maintenance of online learning community and to see to what extent the collaborative distance learning contribute to the development of the competence expectations at the end of the course. The analysis of the results allows us to distinguish the advantages and limitations of this type of e-learning and thus evaluate their pertinence.

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions.

PubMed

Yan, Yuguang; Wu, Qingyao; Tan, Mingkui; Ng, Michael K; Min, Huaqing; Tsang, Ivor W

2017-10-10

In this paper, we study the online heterogeneous transfer (OHT) learning problem, where the target data of interest arrive in an online manner, while the source data and auxiliary co-occurrence data are from offline sources and can be easily annotated. OHT is very challenging, since the feature spaces of the source and target domains are different. To address this, we propose a novel technique called OHT by hedge ensemble by exploiting both offline knowledge and online knowledge of different domains. To this end, we build an offline decision function based on a heterogeneous similarity that is constructed using labeled source data and unlabeled auxiliary co-occurrence data. After that, an online decision function is learned from the target data. Last, we employ a hedge weighting strategy to combine the offline and online decision functions to exploit knowledge from the source and target domains of different feature spaces. We also provide a theoretical analysis regarding the mistake bounds of the proposed approach. Comprehensive experiments on three real-world data sets demonstrate the effectiveness of the proposed technique.

Evaluating the Relevance of Educational Videos Using BKT and Big Data

ERIC Educational Resources Information Center

MacHardy, Zachary; Pardos, Zachary A.

2015-01-01

Along with the advent of MOOCs and other online learning platforms such as Khan Academy, the role of online education has continued to grow in relation to that of traditional on-campus instruction. Rather than tackle the problem of evaluating large educational units such as entire online courses, this paper approaches a smaller problem: exploring…

An e-Learning Collaborative Filtering Approach to Suggest Problems to Solve in Programming Online Judges

ERIC Educational Resources Information Center

Toledo, Raciel Yera; Mota, Yailé Caballero

2014-01-01

The paper proposes a recommender system approach to cover online judge's domains. Online judges are e-learning tools that support the automatic evaluation of programming tasks done by individual users, and for this reason they are usually used for training students in programming contest and for supporting basic programming teachings. The…

The Effects of Learning Styles and Online Education on Low-Income and First-Generation College Students

ERIC Educational Resources Information Center

Chandler, Marissa Arboe

2012-01-01

This quasi-experimental study investigated the impact of a learning style intervention on persistence and success of low-income and first-generation college students enrolled in online courses. With the continuing rise of online education, there is potential for both promise and problems within higher academia. The TRiO Student Support Services…

e-Learning Programs Come in All Shapes and Sizes: From Alaska to Arkansas, Districts Are Experimenting with Online Learning to Solve Access Problems

ERIC Educational Resources Information Center

Coyle, Shawn; Jones, Thea; Pickle, Shirley Kirk

2009-01-01

This article presents a sample of online learning programs serving very different populations: a small district spread over a vast area, a large inner school district, and a statewide program serving numerous districts. It describes how these districts successfully implemented e-learning programs in their schools and discusses the positive impact…

Summer Professional Development in Chemistry for Inservice Teachers Using OWL Quick Prep

NASA Astrophysics Data System (ADS)

Powell, Cynthia B.; Pamplin, Kim L.; Blake, Robert E.; Mason, Diana S.

2010-04-01

Secondary teachers participating in summer professional development chemistry workshops in Texas used an online chemistry tutoring program, OWL Quick Prep (Day et al. in OWL: Online Web-based Learning, Brooks-Cole Cengage Learning, Florence, KY, 1997) as a part of the inservice training. Self-reported demographic data were used to identify factors in preparation and practice that affected pretest and posttest scores. Data from the pretests and posttests indicate that nomenclature and problems requiring calculations were the most challenging topics for the cohort. The participants who correctly completed 90% of the questions in the tutoring modules showed significant improvement in content mastery.

The Relationship of Scaffolding on Cognitive Load in an Online Self-Regulated Learning Environment

ERIC Educational Resources Information Center

Danilenko, Eugene Paul

2010-01-01

Scaffolding learners in self-regulated learning environments is a topic of increasing importance as implementation of online learning grows. Since cognitive overload in hypermedia environments can be a problem for some learners, instructional design strategies can be used to decrease extraneous load or encourage germane load in order to help…

Exploring Writing Individually and Collaboratively Using Google Docs in EFL Contexts

ERIC Educational Resources Information Center

Alsubaie, Jawaher; Ashuraidah, Ali

2017-01-01

Online teaching and learning became popular with the evolution of the World Wide Web now days. Implementing online learning tools within EFL contexts will help better address the multitude of teaching and learning styles. Difficulty in academic writing can be considered one of the common problems that students face in and outside their classrooms.…

Blended Learning: How Teachers Balance the Blend of Online and Classroom Components

ERIC Educational Resources Information Center

Jeffrey, Lynn M.; Milne, John; Suddaby, Gordon

2014-01-01

Despite teacher resistance to the use of technology in education, blended learning has increased rapidly, driven by evidence of its advantages over either online or classroom teaching alone. However, blended learning courses still fail to maximize the benefits this format offers. Much research has been conducted on various aspects of this problem,…

A comparison of student performance in human development classes using three different modes of delivery: Online, face-to-face, and combined

NASA Astrophysics Data System (ADS)

Kalsow, Susan Christensen

1999-11-01

The problem. The dual purposes of this research were to determine if there is a difference in student performance in three Human Development classes when the modes of delivery are different and to analyze student perceptions of using Web-based learning as all or part of their course experience. Procedures. Data for this study were collected from three Human Development courses taught at Drake University. Grades from five essays, projects, and overall grades were used in the three classes and analyzed using a single factor analysis of variance to determine if there was a significant difference. Content analysis was used on the evaluation comments of the participants in the online and combined classes to determine their perceptions of Web-based learning. Findings. The single factor analysis of variance measuring student performance showed no significant difference among the online, face-to-face, and combined scores at the .05 level of significance, however, the difference was significant at the .06. The content analysis of the online and combined course showed the three major strengths of learning totally or partly online to be increased comfort in using the computer, the quality of the overall experience, and convenience in terms of increased access to educational opportunities. The barriers included lack of human interaction and access to the professor. Conclusions. The study indicates that Web-based learning is a viable option for postsecondary educational delivery in terms of student performance and learning. On the average, performance is at least as good as performance in traditional face-to-face classrooms. Improved performance, however, is contingent on adequate access to equipment, faculty skill in teaching using a new mode of delivery, and the personality of the student. The convenient access to educational opportunities and becoming more comfortable with technology are benefits that were important to these two groups. Web-based learning is not for everyone, but Web-assisted learning may be. It has the potential to reach a population of students who otherwise would not have access to postsecondary education. Recommendations. Technology in the twenty-first century will continue to explode and impact our lives. Universities and colleges have the potential to reach a more diverse population, but face-to-face learning will always have value. Consideration must be given to how technology and the use of Web-based learning can be used in varying degrees to meet the needs of students. Classes in the future should have some expected component of navigation and productive use of online learning. Web classes vary from totally online to mostly face-to-face, but all students in the twenty-first century should be expected to know and use this powerful educational resource.

General relativity in upper secondary school: Design and evaluation of an online learning environment using the model of educational reconstruction

NASA Astrophysics Data System (ADS)

Kersting, Magdalena; Henriksen, Ellen Karoline; Bøe, Maria Vetleseter; Angell, Carl

2018-06-01

Because of its abstract nature, Albert Einstein's theory of general relativity is rarely present in school physics curricula. Although the educational community has started to investigate ways of bringing general relativity to classrooms, field-tested educational material is rare. Employing the model of educational reconstruction, we present a collaborative online learning environment that was introduced to final year students (18-19 years old) in six Norwegian upper secondary physics classrooms. Design-based research methods guided the development of the learning resources, which were based on a sociocultural view of learning and a historical-philosophical approach to teaching general relativity. To characterize students' learning from and interaction with the learning environment we analyzed focus group interviews and students' oral and written responses to assigned problems and discussion tasks. Our findings show how design choices on different levels can support or hinder understanding of general relativity, leading to the formulation of design principles that help to foster qualitative understanding and encourage collaborative learning. The results indicate that upper secondary students can obtain a qualitative understanding of general relativity when provided with appropriately designed learning resources and sufficient scaffolding of learning through interaction with teacher and peers.

An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection.

PubMed

Li, Junhui; Zhou, Weidong; Yuan, Shasha; Zhang, Yanli; Li, Chengcheng; Wu, Qi

2016-02-01

Automatic seizure detection has played an important role in the monitoring, diagnosis and treatment of epilepsy. In this paper, a patient specific method is proposed for seizure detection in the long-term intracranial electroencephalogram (EEG) recordings. This seizure detection method is based on sparse representation with online dictionary learning and elastic net constraint. The online learned dictionary could sparsely represent the testing samples more accurately, and the elastic net constraint which combines the 11-norm and 12-norm not only makes the coefficients sparse but also avoids over-fitting problem. First, the EEG signals are preprocessed using wavelet filtering and differential filtering, and the kernel function is applied to make the samples closer to linearly separable. Then the dictionaries of seizure and nonseizure are respectively learned from original ictal and interictal training samples with online dictionary optimization algorithm to compose the training dictionary. After that, the test samples are sparsely coded over the learned dictionary and the residuals associated with ictal and interictal sub-dictionary are calculated, respectively. Eventually, the test samples are classified as two distinct categories, seizure or nonseizure, by comparing the reconstructed residuals. The average segment-based sensitivity of 95.45%, specificity of 99.08%, and event-based sensitivity of 94.44% with false detection rate of 0.23/h and average latency of -5.14 s have been achieved with our proposed method.

A Review of Case-Based Learning Practices in an Online MBA Program: A Program-Level Case Study

ERIC Educational Resources Information Center

Lee, Seung-hee; Lee, Jieun; Liu, Xiaojing; Bonk, Curt J.; Magjuka, Richard J.

2009-01-01

This study examines how a case-based learning approach was used and facilitated in online business education. Perceptions of students and instructors regarding the practices of case-based learning in online environments are explored in terms of instructional design, facilitation, and technology support. This study finds case-based learning to be a…

Designing Online Learning. Knowledge Series: A Topical, Start-Up Guide to Distance Education Practice and Delivery.

ERIC Educational Resources Information Center

Mishra, Sanjaya

The term "online learning" refers to an Internet- or intranet-based teaching and learning system designed for World Wide Web-based delivery without face-to-face contact between teacher and learner. The Internet is the backbone of online learning. The following media are available to designers of online courses: text; graphics and images;…

Using a Web-based simulation as a problem-based learning experience: perceived and actual performance of undergraduate public health students.

PubMed

Spinello, Elio F; Fischbach, Ronald

2008-01-01

This study investigated the use of a Web-based community health simulation as a problem-based learning (PBL) experience for undergraduate students majoring in public health. The study sought to determine whether students who participated in the online simulation achieved differences in academic and attitudinal outcomes compared with students who participated in a traditional PBL exercise. Using a nonexperimental comparative design, 21 undergraduate students enrolled in a health-behavior course were each randomly assigned to one of four workgroups. Each workgroup was randomly assigned the semester-long simulation project or the traditional PBL exercise. Survey instruments were used to measure students' attitudes toward the course, their perceptions of the learning community, and perceptions of their own cognitive learning. Content analysis of final essay exams and group reports was used to identify differences in academic outcomes and students' level of conceptual understanding of health-behavior theory. Findings indicated that students participating in the simulation produced higher mean final exam scores compared with students participating in the traditional PBL (p=0.03). Students in the simulation group also outperformed students in the traditional group with respect to their understanding of health-behavior theory (p=0.04). Students in the simulation group, however, rated their own level of cognitive learning lower than did students in the traditional group (p=0.03). By bridging time and distance constraints of the traditional classroom setting, an online simulation may be an effective PBL approach for public health students. Recommendations include further research using a larger sample to explore students' perceptions of learning when participating in simulated real-world activities. Additional research focusing on possible differences between actual and perceived learning relative to PBL methods and student workgroup dynamics is also recommended.

Flippin' Fluid Mechanics - Using Online Technology to Enhance the In-Class Learning Experience

NASA Astrophysics Data System (ADS)

Webster, D. R.; Majerich, D. M.

2013-11-01

This study provides an empirical analysis of using online technologies and team problem solving sessions to shift an undergraduate fluid mechanics course from a traditional lecture format to a collaborative learning environment. Students were from two consecutive semesters of the same course taught by the same professor. One group used online technologies and solved problems in class and the other did not. Out of class, the treatment group watched 72 short (11 minutes, average) video lectures covering course topics and example problems being solved. Three times a week students worked in teams of two to solve problems on desktop whiteboard tablets while the instructor and graduate assistants provided ``just-in-time'' tutoring. The number of team problems assigned during the semester exceeded 100. Weekly online homework was assigned to reinforce topics. The WileyPlus online system generated unique problem parameters for each student. The control group received three-50 minute weekly lectures. Data include three midterms and a final exam. Regression results indicate that controlling for all of the entered variables, for every one more problem solving session the student attended, the final grade was raised by 0.327 points. Thus, if a student participated in all 25 of the team problem solving sessions, the final grade would have been 8.2 points higher, a difference of nearly a grade. Using online technologies and teamwork appeared to result in improved achievement, but more research is needed to support these findings.

Analyzing Team Based Engineering Design Process in Computer Supported Collaborative Learning

ERIC Educational Resources Information Center

Lee, Dong-Kuk; Lee, Eun-Sang

2016-01-01

The engineering design process has been largely implemented in a collaborative project format. Recently, technological advancement has helped collaborative problem solving processes such as engineering design to have efficient implementation using computers or online technology. In this study, we investigated college students' interaction and…

Effects of team-based learning on self-regulated online learning.

PubMed

Whittaker, Alice A

2015-04-10

Online learning requires higher levels of self-regulation in order to achieve optimal learning outcomes. As nursing education moves further into the blended and online learning venue, new teaching/learning strategies will be required to develop and enhance self-regulated learning skills in nursing students. The purpose of this study was to compare the effectiveness of team-based learning (TBL) with traditional instructor-led (IL) learning, on self-regulated online learning outcomes, in a blended undergraduate research and evidence-based practice course. The nonrandomized sample consisted of 98 students enrolled in the IL control group and 86 students enrolled in the TBL intervention group. The percentage of total possible online viewing time was used as the measure of self-regulated online learning activity. The TBL group demonstrated a significantly higher percentage (p < 0.001) of self-regulated learning activities than the IL control group. The TBL group scored significantly higher on the course examinations (p = 0.003). The findings indicate that TBL is an effective instructional strategy that can be used to achieve the essential outcomes of baccalaureate nursing education by increasing self-regulated learning capabilities in nursing students.

Voice over Internet Protocol (VoIP) Technology as a Global Learning Tool: Information Systems Success and Control Belief Perspectives

ERIC Educational Resources Information Center

Chen, Charlie C.; Vannoy, Sandra

2013-01-01

Voice over Internet Protocol- (VoIP) enabled online learning service providers struggling with high attrition rates and low customer loyalty issues despite VoIP's high degree of system fit for online global learning applications. Effective solutions to this prevalent problem rely on the understanding of system quality, information quality, and…

Using Team-based Learning to teach a Large-enrollment Environmental Science Course Online

NASA Astrophysics Data System (ADS)

Harder, V.

2013-12-01

Student enrollment in many online courses is usually limited to small classes, ranging from 20-25 students. Over two summers Environmental Science 1301, with an enrollment of 50, has been piloted online using team-based learning (TBL) methods. Teams, consisting of 7 members, were assigned randomly using the group manager tool found in the learning management system. The course was organized around Learning Modules, which consisted of a quiz (individual) over the reading, a team assignment, which covered a topic from one of the chapters was completed for each learning module, and a class/group discussion. The discussion usually entailed a presentation of findings to the class by each team. This allowed teams to interact with one another and was also designed to encourage competition among the teams. Over the course of the class it was observed that as the students became comfortable with the course procedures they developed a commitment to the goals and welfare of their team. They found that as a team they could accomplish much more than an individual; they discovered strengths in their team mates that they, themselves, lacked, and they helped those team mates who struggled with the material. The teams tackled problems that would be overwhelming to an individual in the time allotted, such as running multiple scenarios with the simulations and tackling a large amount of data. Using TBL shifted the majority of responsibility of learning the material to the student with the instructor functioning as a facilitator instead of dispenser of knowledge. Dividing the class into teams made the course load manageable for the instructor while at the same time created a small-class environment for the students. In comparing this course to other, nonTBL-based online courses taught, the work load was very manageable. There were only 7-10 items to be graded per Learning Module and only 7-10 teams to monitor and provide guidance to instead of 50 individuals. Retention rates (86%) were much higher for this course than for nonTBL-based online courses taught by the same instructor and students didn't fall behind.

An Instructional Strategy Framework for Online Learning Environments

ERIC Educational Resources Information Center

Johnson, Scott D.; Aragon, Steven R.

2003-01-01

The rapid growth of Web-based instruction has raised many questions about the quality of online courses. This chapter presents a conceptual framework that can guide the development of online courses by providing a holistic perspective on online teaching and learning. Although this framework is based on well-recognized theories of learning and…

Online learning: the potential for occupational therapy education.

PubMed

Hollis, Vivien; Madill, Helen

2006-01-01

Online learning continues to have a significant impact on higher education. Increasingly students seek a combination of online learning and face-to-face instruction at undergraduate and graduate levels and occupational therapists ask for online continuing professional development opportunities. However, occupational therapy educators have been slow to adopt web-based instructional technology. This paper presents background information on the use of web-based learning in the general sphere of higher education and outlines the current range of usage in occupational therapy education. Research findings are presented to stimulate discussion regarding online learning and occupational therapy professional socialisation, student satisfaction and outcomes. There is a fine line between full and partial online course delivery, so research on technology-enhanced campus-based delivery is also included in the review. Evidence suggests that blending combinations of technologies with computer mediated learning enhances interaction and could address the higher order learning needs of professional programmes such as occupational therapy.

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…

Comparing Productive Online Dialogue in Two Group Styles: Cooperative and Collaborative

ERIC Educational Resources Information Center

Rose, Mary Annette

2004-01-01

This study examined the influence of group structures upon six groups of distributed graduate students as they pursued a six-week problem-based learning activity by communicating in an asynchronous computer conference. Henri and Rigault's (1996) content analysis framework and Howell-Richardson and Mellar's (1996) guidelines for interconnectedness…

Building Interactivity in Higher Education to Support Student Engagement in Spatial Problem Solving and Programming

NASA Astrophysics Data System (ADS)

Gulland, E.-K.; Veenendaal, B.; Schut, A. G. T.

2012-07-01

Problem-solving knowledge and skills are an important attribute of spatial sciences graduates. The challenge of higher education is to build a teaching and learning environment that enables students to acquire these skills in relevant and authentic applications. This study investigates the effectiveness of traditional face-to-face teaching and online learning technologies in supporting the student learning of problem-solving and computer programming skills, techniques and solutions. The student cohort considered for this study involves students in the surveying as well as geographic information science (GISc) disciplines. Also, students studying across a range of learning modes including on-campus, distance and blended, are considered in this study. Student feedback and past studies reveal a lack of student interest and engagement in problem solving and computer programming. Many students do not see such skills as directly relevant and applicable to their perceptions of what future spatial careers hold. A range of teaching and learning methods for both face-to-face teaching and distance learning were introduced to address some of the perceived weaknesses of the learning environment. These included initiating greater student interaction in lectures, modifying assessments to provide greater feedback and student accountability, and the provision of more interactive and engaging online learning resources. The paper presents and evaluates the teaching methods used to support the student learning environment. Responses of students in relation to their learning experiences were collected via two anonymous, online surveys and these results were analysed with respect to student pass and retention rates. The study found a clear distinction between expectations and engagement of surveying students in comparison to GISc students. A further outcome revealed that students who were already engaged in their learning benefited the most from the interactive learning resources and opportunities provided.

Non-traditional approaches to teaching GPS online

NASA Astrophysics Data System (ADS)

Matias, A.; Wolf, D. F., II

2009-12-01

Students are increasingly turning to the web for quality education that fits into their lives. Nonetheless, online learning brings challenges as well as a fresh opportunity for exploring pedagogical practices not present on traditional higher education programs, particularly in the sciences. A team of two dozen Empire State College-State University of New York instructional designers, faculty, and other staff are working on making science relevant to non-majors who may initially have anxiety about general education science courses. One of these courses, GPS and the New Geography, focuses on how Global Positioning System (GPS) technology provides a base for inquiry and scientific discovery from a range of environmental issues with local, regional, and global scope. GPS and the New Geography is an introductory level course developed under a grant supported by the Charitable Leadership Foundation. Taking advantage of the proliferation of tools currently available for online learning management systems, we explore current trends in Web 2.0 applications to aggregate and leverage data to create a nontraditional, interactive learning environment. Using our best practices to promote on-line discussion and interaction, these tools help engage students and foster deep learning. During the 15-week term students learn through case studies, problem-based exercises, and the use of scientific data; thus, expanding their spatial literacy and gain experience using real spatial technology tools to enhance their understanding of real-world issues. In particular, we present how the use of Mapblogs an in-house developed blogging platform that uses GIS interplaying with GPS units, interactive data presentations, intuitive visual working environments, harnessing RSS feeds, and other nontraditional Web 2.0 technology has successfully promoted active learning in the virtual learning environment.

One Happy Union: Infusing Community-Based Learning Projects through Online Instruction

ERIC Educational Resources Information Center

Lee, Jason W.; Kane, Jennifer; Cavanaugh, Terence

2015-01-01

Both community-based learning (CBL) and online learning are popular pedagogical practices, with distinct benefits and issues for teaching and learning. The integration of these practices may seem challenging, but they can be compatible. This article seeks to provide effective examples and support for conducting CBL projects in online courses while…

Exploring Student Preconceptions of Readiness for Remote-Online Case-Based Learning: A Case Study

PubMed Central

2016-01-01

Background Case-based learning (CBL) is an educational approach where students work in small, collaborative groups to solve problems. Web-conferencing software provides a platform to present information and share concepts that are vital to CBL. Previous studies have found that participants were resistant to change associated with implementing e-learning; however, strategies to reduce this resistance have not been explored. Objective This study was designed to explore student preconceptions and understanding of remote-online case-based learning (RO-CBL). Methods The study took place during the Bachelor of Physiotherapy program at Monash University, Victoria, Australia, in 2013. The entire third-year cohort (n=73) was invited to participate. The primary outcome of interest was students’ preconceptions of RO-CBL, collected via pre- and posttraining surveys. Results Of the 73 students, 66 completed both surveys (attrition rate 9.6%). Three key themes relevant to student preconceptions of RO-CBL emerged: flexibility in time and location of CBL, readiness or hesitation to change to a Web-based format, and the value of training in RO-CBL that included a demonstration and trial run. Thirty-four percent of the participants were hesitant to move to an online format. Conclusions This study explored students’ preconceptions of Web-based learning and evaluated the change in students’ attitudes after training. The results suggest that educational designers should not assume that students are confident and competent in applying these technologies to professional educational activities. By identifying students’ needs before implementation, training sessions can be designed to target these needs, and improve the understanding of RO-CBL and how it works in practice. This may reduce resistance to change, enhance students’ satisfaction, and ultimately improve the learning experience. PMID:27731854

Exploring Student Preconceptions of Readiness for Remote-Online Case-Based Learning: A Case Study.

PubMed

Nicklen, Peter; Keating, Jennifer L; Maloney, Stephen

2016-04-28

Case-based learning (CBL) is an educational approach where students work in small, collaborative groups to solve problems. Web-conferencing software provides a platform to present information and share concepts that are vital to CBL. Previous studies have found that participants were resistant to change associated with implementing e-learning; however, strategies to reduce this resistance have not been explored. This study was designed to explore student preconceptions and understanding of remote-online case-based learning (RO-CBL). The study took place during the Bachelor of Physiotherapy program at Monash University, Victoria, Australia, in 2013. The entire third-year cohort (n=73) was invited to participate. The primary outcome of interest was students' preconceptions of RO-CBL, collected via pre- and posttraining surveys. Of the 73 students, 66 completed both surveys (attrition rate 9.6%). Three key themes relevant to student preconceptions of RO-CBL emerged: flexibility in time and location of CBL, readiness or hesitation to change to a Web-based format, and the value of training in RO-CBL that included a demonstration and trial run. Thirty-four percent of the participants were hesitant to move to an online format. This study explored students' preconceptions of Web-based learning and evaluated the change in students' attitudes after training. The results suggest that educational designers should not assume that students are confident and competent in applying these technologies to professional educational activities. By identifying students' needs before implementation, training sessions can be designed to target these needs, and improve the understanding of RO-CBL and how it works in practice. This may reduce resistance to change, enhance students' satisfaction, and ultimately improve the learning experience.

The NASA "Why?" Files: The Case of the "Wright" Invention. A Lesson Guide with Activities in Mathematics, Science, and Technology.

ERIC Educational Resources Information Center

National Aeronautics and Space Administration, Hampton, VA. Langley Research Center.

This lesson guide for instruction of students in grades 3-5 contains activities in mathematics, science, and technology. The NASA "Why?" Files is a series of instructional programs consisting of broadcast, print, and online elements. Emphasizing standards-based instruction, Problem-Based Learning, and science as inquiry, the series seeks to…

The generalization ability of online SVM classification based on Markov sampling.

PubMed

Xu, Jie; Yan Tang, Yuan; Zou, Bin; Xu, Zongben; Li, Luoqing; Lu, Yang

2015-03-01

In this paper, we consider online support vector machine (SVM) classification learning algorithms with uniformly ergodic Markov chain (u.e.M.c.) samples. We establish the bound on the misclassification error of an online SVM classification algorithm with u.e.M.c. samples based on reproducing kernel Hilbert spaces and obtain a satisfactory convergence rate. We also introduce a novel online SVM classification algorithm based on Markov sampling, and present the numerical studies on the learning ability of online SVM classification based on Markov sampling for benchmark repository. The numerical studies show that the learning performance of the online SVM classification algorithm based on Markov sampling is better than that of classical online SVM classification based on random sampling as the size of training samples is larger.

Assessing Elementary Prospective Teachers' Mathematical Explanations after Engagement in Online Mentoring Modules

ERIC Educational Resources Information Center

Wall, Jennifer; Selmer, Sarah; Bingham Brown, Amy

2016-01-01

Prospective elementary teachers at three universities engaged in online modules called the Virtual Field Experience, created by the Math Forum. The prospective teachers learned about problem solving and mentoring elementary students in composing solutions and explanations to nonroutine challenge problems. Finally, through an asynchronous online…

Learning styles of registered nurses enrolled in an online nursing program.

PubMed

Smith, Anita

2010-01-01

Technological advances assist in the proliferation of online nursing programs which meet the needs of the working nurse. Understanding online learning styles permits universities to adequately address the educational needs of the professional nurse returning for an advanced degree. The purpose of this study was to describe the learning styles of registered nurses (RNs) enrolled in an online master's nursing program or RN-bachelor of science in nursing (BSN) program. A descriptive, cross-sectional design was used. Kolb's learning style inventory (Version 3.1) was completed by 217 RNs enrolled in online courses at a Southeastern university. Descriptive statistical procedures were used for analysis. Thirty-one percent of the nurses were accommodators, 20% were assimilators, 19% were convergers, and 20% were divergers. Accommodators desire hand-on experiences, carrying out plans and tasks and using an intuitive trial-and-error approach to problem solving. The learning styles of the RNs were similar to the BSN students in traditional classroom settings. Despite their learning style, nurses felt that the online program met their needs. Implementing the technological innovations in nursing education requires the understanding of the hands-on learning of the RN so that the development of the online courses will satisfactorily meet the needs of the nurses who have chosen an online program. Copyright 2010 Elsevier Inc. All rights reserved.

Effectiveness of an online Problem-Based learning curriculum for training family medical doctors in Brazil.

PubMed

Tomaz, Jose Batista Cisne; Mamede, Silvia; Filho, Joao Macedo Coelho; Roriz Filho, Jarbas de S; van der Molen, Henk T

2015-01-01

Problem-based learning (PBL) and distance education (DE) have been combined as educational approaches in higher education. This combination has been called distributed PBL. In health professions education it has been called online PBL (OPBL). However, more research on the effectiveness of OPBL is needed. The present study aims at evaluating the effectiveness of an OPBL curriculum for training family medical doctors in Brazil. We used a pretest-posttest control group design in this study. Thirty family physician participants were non-randomly assigned to the experimental group and the same number to the control group. Three instruments for collecting data were used: A multiple choice question knowledge test, an Objective Structural Clinical Examination (OSCE) for assessing the ability to apply the Mini Mental State Exam (MMSE) and a test based on clinical cases for assessing the ability to make an adequate differential diagnosis of dementia. Multivariate Analysis of Variance (MANOVA) and univariate tests were conducted to see if the difference between the two groups was significant. The effect size was measured by Cohen's d. A total of 50 participants completed the study. The results show significant effects of the course on participants' knowledge and diagnostic skills. The results may indicate that innovative pedagogical approaches such as PBL can be effective in an online environment in a low-resources context, with the advantages of DE approach.

Gauging the gaps in student problem-solving skills: assessment of individual and group use of problem-solving strategies using online discussions.

PubMed

Anderson, William L; Mitchell, Steven M; Osgood, Marcy P

2008-01-01

For the past 3 yr, faculty at the University of New Mexico, Department of Biochemistry and Molecular Biology have been using interactive online Problem-Based Learning (PBL) case discussions in our large-enrollment classes. We have developed an illustrative tracking method to monitor student use of problem-solving strategies to provide targeted help to groups and to individual students. This method of assessing performance has a high interrater reliability, and senior students, with training, can serve as reliable graders. We have been able to measure improvements in many students' problem-solving strategies, but, not unexpectedly, there is a population of students who consistently apply the same failing strategy when there is no faculty intervention. This new methodology provides an effective tool to direct faculty to constructively intercede in this area of student development.

Enhancing Learning through an Online Secondary School Educational Game

ERIC Educational Resources Information Center

Kaufman, David; Sauve, Louise; Renaud, Lise

2011-01-01

This article consists of four sections: (1) the problems associated with asthma in the province of Quebec and across Canada; (2) the theoretical framework for the learning enhanced by our online educational game entitled "Asthme: 1,2,3 ... Respirez! (Asthma: 1,2,3 ... Breath!)", created by adapting the popular board game…

Fostering Students' Participation in Online Environments: Focus on Interaction, Communication and Problem Solving

ERIC Educational Resources Information Center

Zacharis, Nick Z.

2009-01-01

Rapid technological advances in the areas of telecommunications, computer technology and the Internet have made available to tutors and learners in the domain of online learning, a broad array of tools that provide the possibility to facilitate and enhance learning to higher levels of critical reflective thinking. Computer mediated communication…

Creating Meaning through Multimodality: Multiliteracies Assessment and Photo Projects for Online Portfolios

ERIC Educational Resources Information Center

Schmerbeck, Nicola; Lucht, Felecia

2017-01-01

Actively engaged in online media, learners today are surrounded by texts overtly and covertly transmitted by visual images, sound effects, and voices as well as the written word. Language learning portfolios can engage students in the literacy-oriented learning processes of interpretation, collaboration, and problem solving as outlined by Kern…

Analysing Students' Interactions through Social Presence and Social Network Metrics

ERIC Educational Resources Information Center

Martins da Silva, Vanessa Cristina; Siqueira, Sean Wolfgand Matsui

2016-01-01

In online learning environments, tutors have several problems to carry out their activities, such as evaluating the student, knowing the right way to guide each student, promoting discussions, and knowing the right time to interact or let students build knowledge alone. We consider scenarios in which teaching and learning occurs in online social…

Self-Direction in On-Line Language Learning

ERIC Educational Resources Information Center

Rappel, L.

2017-01-01

This paper presents design based research on the role of self-direction in online learning by exploring elements of both individual and collective engagement as significant aspects of learning. By making the claim that online instruction draws on autonomous and social aspects of learning, this paper examines how online teaching environments are…

Adaptive Sampling for Urban Air Quality through Participatory Sensing

PubMed Central

Zeng, Yuanyuan; Xiang, Kai

2017-01-01

Air pollution is one of the major problems of the modern world. The popularization and powerful functions of smartphone applications enable people to participate in urban sensing to better know about the air problems surrounding them. Data sampling is one of the most important problems that affect the sensing performance. In this paper, we propose an Adaptive Sampling Scheme for Urban Air Quality (AS-air) through participatory sensing. Firstly, we propose to find the pattern rules of air quality according to the historical data contributed by participants based on Apriori algorithm. Based on it, we predict the on-line air quality and use it to accelerate the learning process to choose and adapt the sampling parameter based on Q-learning. The evaluation results show that AS-air provides an energy-efficient sampling strategy, which is adaptive toward the varied outside air environment with good sampling efficiency. PMID:29099766

Supporting traditional instructional methods with a constructivist approach to learning: Promoting conceputal change and understanding of stoichiometry using e-learning tools

NASA Astrophysics Data System (ADS)

Abayan, Kenneth Munoz

Stoichiometry is a fundamental topic in chemistry that measures a quantifiable relationship between atoms, molecules, etc. Stoichiometry is usually taught using expository teaching methods. Students are passively given information, in the hopes they will retain the transmission of information to be able to solve stoichiometry problems masterfully. Cognitive science research has shown that this kind of instructional teaching method is not very effecting in meaningful learning practice. Instead, students must take ownership of their learning. The students need to actively construct their own knowledge by receiving, interpreting, integrating and reorganizing that information into their own mental schemas. In the absence of active learning practices, tools must be created in such a way to be able to scaffold difficult problems by encoding opportunities necessary to make the construction of knowledge memorable, thereby creating a usable knowledge base. Using an online e-learning tool and its potential to create a dynamic and interactive learning environment may facilitate the learning of stoichiometry. The study entailed requests from volunteer students, IRB consent form, a baseline questionnaire, random assignment of treatment, pre- and post-test assessment, and post assessment survey. These activities were given online. A stoichiometry-based assessment was given in a proctored examination at the University of Texas at Arlington (UTA) campus. The volunteer students who took part in these studies were at least 18 of age and were enrolled in General Chemistry 1441, at the University of Texas at Arlington. Each participant gave their informed consent to use their data in the following study. Students were randomly assigned to one of 4 treatments groups based on teaching methodology, (Dimensional Analysis, Operational Method, Ratios and Proportions) and a control group who just received instruction through lecture only. In this study, an e-learning tool was created to demonstrate several methodologies, on how to solve stoichiometry, which are all supported by chemical education research. Comparisons of student performance based on pre- and post-test assessment, and a stoichiometry-based examination was done to determine if the information provided within the e-learning tool yielded greater learning outcomes compared to the students in the absence of scaffold learning material. The e-learning tool was created to help scaffold the problem solving process necessary to help students (N=394) solve stoichiometry problems. Therein the study investigated possible predictors for success on a stoichiometry based examination, students' conceptual understanding of solving stoichiometry problems, and their explanation of reasoning. It was found that the way the student answered a given stoichiometry question (i.e. whether the student used dimensional analysis, operational method or any other process) was not statistically relevant (p=0.05). More importantly, if the students were able to describe their thought process clearly, these students scored significantly higher on stoichiometry test (mean 84, p<0.05). This finding has major implications in teaching the topic, as lecturers tend to stress and focus on the method rather than the process on how to solve stoichiometry problems.

A Large-scale Distributed Indexed Learning Framework for Data that Cannot Fit into Memory

DTIC Science & Technology

2015-03-27

learn a classifier. Integrating three learning techniques (online, semi-supervised and active learning ) together with a selective sampling with minimum communication between the server and the clients solved this problem.

A Happy Marriage: The Union of Online Instruction and Community-Based Learning

ERIC Educational Resources Information Center

Lee, Jason W.; Kane, Jennifer J.; Gregg, Elizabeth A.

2016-01-01

This article explores the opportunities and challenges that university instructors and students have when completing course assignments that merge community-based learning (CBL) and online learning (OL) in sport management and athletic administration pedagogy. As online instruction continues to increase, instructors and students need to be…

Exploring the Effects of Online Team-Based Learning and Co-Regulated Learning on Students' Development of Computing Skills

ERIC Educational Resources Information Center

Tsai, Chia-Wen

2016-01-01

As more and more educational institutions are providing online courses, it is necessary to design effective teaching methods integrated with technologies to benefit both teachers and students. The researcher in this study designed innovative online teaching methods of team-based learning (TBL) and co-regulated learning (CRL) to improve students'…

Problem-Based Learning and Earth System Science - The ESSEA High School Earth System Science Online Course

NASA Astrophysics Data System (ADS)

Myers, R.; Botti, J.

2002-12-01

The high school Earth system science course is web based and designed to meet the professional development needs of science teachers in grades 9-12. Three themes predominate this course: Earth system science (ESS) content, collaborative investigations, and problem-based learning (PBL) methodology. PBL uses real-world contexts for in-depth investigations of a subject matter. Participants predict the potential impacts of the selected event on Earth's spheres and the subsequent feedback and potential interactions that might result. PBL activities start with an ill-structured problem that serves as a springboard to team engagement. These PBL scenarios contain real-world situations. Teams of learners conduct an Earth system science analysis of the event and make recommendations or offer solutions regarding the problem. The course design provides an electronic forum for conversations, debate, development, and application of ideas. Samples of threaded discussions built around ESS thinking in science and PBL pedagogy will be presented.

Problem-Based Learning and Earth System Science - The ESSEA High School Earth System Science Online Course

NASA Astrophysics Data System (ADS)

Myers, R. J.; Botti, J. A.

2001-12-01

The high school Earth system science course is web based and designed to meet the professional development needs of science teachers in grades 9-12. Three themes predominate this course: Earth system science (ESS) content, collaborative investigations, and problem-based learning (PBL) methodology. PBL uses real-world contexts for in-depth investigations of a subject matter. Participants predict the potential impacts of the selected event on Earth's spheres and the subsequent feedback and potential interactions that might result. PBL activities start with an ill-structured problem that serves as a springboard to team engagement. These PBL scenarios contain real-world situations. Teams of learners conduct an Earth system science analysis of the event and make recommendations or offer solutions regarding the problem. The course design provides an electronic forum for conversations, debate, development, and application of ideas. Samples of threaded discussions built around ESS thinking in science and PBL pedagogy will be presented.

Effectiveness of an Asynchronous Online Module on University Students' Understanding of the Bohr Model of the Hydrogen Atom

NASA Astrophysics Data System (ADS)

Farina, William J.; Bodzin, Alec M.

2017-12-01

Web-based learning is a growing field in education, yet empirical research into the design of high quality Web-based university science instruction is scarce. A one-week asynchronous online module on the Bohr Model of the atom was developed and implemented guided by the knowledge integration framework. The unit design aligned with three identified metaprinciples of science learning: making science accessible, making thinking visible, and promoting autonomy. Students in an introductory chemistry course at a large east coast university completed either an online module or traditional classroom instruction. Data from 99 students were analyzed and results showed significant knowledge growth in both online and traditional formats. For the online learning group, findings revealed positive student perceptions of their learning experiences, highly positive feedback for online science learning, and an interest amongst students to learn chemistry within an online environment.

Efficacy of an Online Resource for Teaching Interpersonal Problem Solving Skills to Women Graduate Students in Engineering

ERIC Educational Resources Information Center

Bekki, Jennifer M.; Bernstein, Bianca; Fabert, Natalie; Gildar, Natalie; Way, Amy

2014-01-01

Interpersonal problem solving skills allow engineers to prevent interpersonal difficulties more effectively and to manage conflict, both of which are critical to successful participation on teams. This research provides evidence that the "Career"WISE online learning environment can improve those skills among women in engineering graduate…

Application of Online Discussion and Cooperative Learning Strategies to Online and Blended College Courses

ERIC Educational Resources Information Center

Lynch, Douglas J.

2010-01-01

Effective online instructional practices may be applied to online and blended college courses. Carefully orchestrated online discussions support learning well beyond the limited face-to-face course time. Students gain greater depth of academic understanding and leadership skills if cooperative learning groups use research-based process and…

A visual tracking method based on improved online multiple instance learning

NASA Astrophysics Data System (ADS)

He, Xianhui; Wei, Yuxing

2016-09-01

Visual tracking is an active research topic in the field of computer vision and has been well studied in the last decades. The method based on multiple instance learning (MIL) was recently introduced into the tracking task, which can solve the problem that template drift well. However, MIL method has relatively poor performance in running efficiency and accuracy, due to its strong classifiers updating strategy is complicated, and the speed of the classifiers update is not always same with the change of the targets' appearance. In this paper, we present a novel online effective MIL (EMIL) tracker. A new update strategy for strong classifier was proposed to improve the running efficiency of MIL method. In addition, to improve the t racking accuracy and stability of the MIL method, a new dynamic mechanism for learning rate renewal of the classifier and variable search window were proposed. Experimental results show that our method performs good performance under the complex scenes, with strong stability and high efficiency.

Designing for Online Collaborations and Local Environmental Action In Citizen Science: A Multiple Case Study

NASA Astrophysics Data System (ADS)

Kermish-Allen, Ruth

Traditional citizen science projects have been based on the scientific communities need to gather vast quantities of high quality data, neglecting to ask what the project participants get in return. How can participants be seen more as collaborative partners in citizen science projects? Online communities for citizen science are expanding rapidly, giving participants the opportunity to take part in a wide range of activities, from monitoring invasive species to identifying far-off galaxies. These communities can bring together the virtual and physical worlds in new ways that are egalitarian, collaborative, applied, localized and globalized to solve real environmental problems. There are a small number of citizen science projects that leverage the affordances of an online community to connect, engage, and empower participants to make local change happen. This multiple case study applies a conceptual framework rooted in sociocultural learning theory, Non-Hierarchical Online Learning Communities (NHOLCs), to three online citizen communities that have successfully fostered online collaboration and on-the-ground environmental actions. The purpose of the study is to identify the range and variation of the online and programmatic functions available in each project. The findings lead to recommendations for designing these innovative communities, specifically the technological and programmatic components of online citizen science communities that support environmental actions in our backyards.

Innovation in Open & Distance Learning: Successful Development of Online and Web-Based Learning.

ERIC Educational Resources Information Center

Lockwood, Fred, Ed.; Gooley, Anne, Ed.

This book contains 19 papers examining innovation in open and distance learning through development of online and World Wide Web-based learning. The following papers are included: "Innovation in Distributed Learning: Creating the Environment" (Fred Lockwood); "Innovation in Open and Distance Learning: Some Lessons from Experience…

Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification.

PubMed

Mirza, Bilal; Lin, Zhiping

2016-08-01

In this paper, a meta-cognitive online sequential extreme learning machine (MOS-ELM) is proposed for class imbalance and concept drift learning. In MOS-ELM, meta-cognition is used to self-regulate the learning by selecting suitable learning strategies for class imbalance and concept drift problems. MOS-ELM is the first sequential learning method to alleviate the imbalance problem for both binary class and multi-class data streams with concept drift. In MOS-ELM, a new adaptive window approach is proposed for concept drift learning. A single output update equation is also proposed which unifies various application specific OS-ELM methods. The performance of MOS-ELM is evaluated under different conditions and compared with methods each specific to some of the conditions. On most of the datasets in comparison, MOS-ELM outperforms the competing methods. Copyright © 2016 Elsevier Ltd. All rights reserved.

Convergence of the standard RLS method and UDUT factorisation of covariance matrix for solving the algebraic Riccati equation of the DLQR via heuristic approximate dynamic programming

NASA Astrophysics Data System (ADS)

Moraes Rêgo, Patrícia Helena; Viana da Fonseca Neto, João; Ferreira, Ernesto M.

2015-08-01

The main focus of this article is to present a proposal to solve, via UDUT factorisation, the convergence and numerical stability problems that are related to the covariance matrix ill-conditioning of the recursive least squares (RLS) approach for online approximations of the algebraic Riccati equation (ARE) solution associated with the discrete linear quadratic regulator (DLQR) problem formulated in the actor-critic reinforcement learning and approximate dynamic programming context. The parameterisations of the Bellman equation, utility function and dynamic system as well as the algebra of Kronecker product assemble a framework for the solution of the DLQR problem. The condition number and the positivity parameter of the covariance matrix are associated with statistical metrics for evaluating the approximation performance of the ARE solution via RLS-based estimators. The performance of RLS approximators is also evaluated in terms of consistence and polarisation when associated with reinforcement learning methods. The used methodology contemplates realisations of online designs for DLQR controllers that is evaluated in a multivariable dynamic system model.

A Web-Based Learning Support System for Inquiry-Based Learning

NASA Astrophysics Data System (ADS)

Kim, Dong Won; Yao, Jingtao

The emergence of the Internet and Web technology makes it possible to implement the ideals of inquiry-based learning, in which students seek truth, information, or knowledge by questioning. Web-based learning support systems can provide a good framework for inquiry-based learning. This article presents a study on a Web-based learning support system called Online Treasure Hunt. The Web-based learning support system mainly consists of a teaching support subsystem, a learning support subsystem, and a treasure hunt game. The teaching support subsystem allows instructors to design their own inquiry-based learning environments. The learning support subsystem supports students' inquiry activities. The treasure hunt game enables students to investigate new knowledge, develop ideas, and review their findings. Online Treasure Hunt complies with a treasure hunt model. The treasure hunt model formalizes a general treasure hunt game to contain the learning strategies of inquiry-based learning. This Web-based learning support system empowered with the online-learning game and founded on the sound learning strategies furnishes students with the interactive and collaborative student-centered learning environment.

Effectiveness of objectivist online instruction on graduate learners' knowledge and competence

NASA Astrophysics Data System (ADS)

Maryannakis, Artemios

Online courses currently offered by aeronautical institutions are unstructured conversions of traditional courses into Web-based courses that lack the learning theory and instructional design principles framework, thus lacking the efficiency and effectiveness in dealing with the academic demands required to prepare aviation/aerospace professionals for the challenges of the technologically driven twenty-first century. The purpose of this study was to compare the effectiveness of two versions of an aeronautical online graduate course on research methods knowledge and competence: a comprehensive objectivist design and an unstructured design. Quantitative, causal comparative, quasi-experimental methodology was utilized. Using criteria derived from literature, criteria were established for the development and eventual online delivery of a comprehensive objectivist instructional design on graduate research methods learning. Results revealed that the comprehensive objectivist design was significantly more effective than its unstructured counterpart on graduate learners' competence in research methods, but found no significant difference in knowledge. It was recommended that aeronautical institutions (a) create programs with critical thinking and problem solving embedded in their curriculum for enhancing learner competence, and (b) thoroughly train every online instructor in the development and use of comprehensive online instruction.

Extending the Reach of Early Intervention Training for Practitioners: A Preliminary Investigation of an Online Curriculum for Teaching Behavioral Intervention Knowledge in Autism to Families and Service Providers

PubMed Central

Hamad, Charles D.; Serna, Richard W.; Morrison, Leslie; Fleming, Richard

2013-01-01

Early behavioral intervention, based on the methods of applied behavior analysis, has the strongest and most consistent scientific support as a means of teaching skills to young children with Autism Spectrum Disorder and reducing their restricted and maladaptive behavior. Though individual ABA-based treatment plans are usually developed, designed and supervised by a senior-level clinician, they are most often implemented by a practitioner, such as a parent, direct service provider, aide, or an early childhood professional from a related discipline. Unfortunately, few practitioner-orientated training programs are available to geographically disparate persons. Online distance-learning education offers a potential solution to this problem. Fifty-one individuals participated in an initial study of a short, three-module online course. The results showed a highly statistically significant difference between the mean pre-test and post-test score. The outcomes suggest the feasibility and user satisfaction of teaching BI knowledge acquisition online, and thus bolster confidence that future, larger-scale curricula aimed at teaching BI in a distance-learning format is warranted. PMID:23504540

Adaptive hidden Markov model-based online learning framework for bearing faulty detection and performance degradation monitoring

NASA Astrophysics Data System (ADS)

Yu, Jianbo

2017-01-01

This study proposes an adaptive-learning-based method for machine faulty detection and health degradation monitoring. The kernel of the proposed method is an "evolving" model that uses an unsupervised online learning scheme, in which an adaptive hidden Markov model (AHMM) is used for online learning the dynamic health changes of machines in their full life. A statistical index is developed for recognizing the new health states in the machines. Those new health states are then described online by adding of new hidden states in AHMM. Furthermore, the health degradations in machines are quantified online by an AHMM-based health index (HI) that measures the similarity between two density distributions that describe the historic and current health states, respectively. When necessary, the proposed method characterizes the distinct operating modes of the machine and can learn online both abrupt as well as gradual health changes. Our method overcomes some drawbacks of the HIs (e.g., relatively low comprehensibility and applicability) based on fixed monitoring models constructed in the offline phase. Results from its application in a bearing life test reveal that the proposed method is effective in online detection and adaptive assessment of machine health degradation. This study provides a useful guide for developing a condition-based maintenance (CBM) system that uses an online learning method without considerable human intervention.

[Digital learning object for diagnostic reasoning in nursing applied to the integumentary system].

PubMed

da Costa, Cecília Passos Vaz; Luz, Maria Helena Barros Araújo

2015-12-01

To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.

Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation

NASA Astrophysics Data System (ADS)

Chen, Tianyi; Mokhtari, Aryan; Wang, Xin; Ribeiro, Alejandro; Giannakis, Georgios B.

2017-06-01

Existing approaches to resource allocation for nowadays stochastic networks are challenged to meet fast convergence and tolerable delay requirements. The present paper leverages online learning advances to facilitate stochastic resource allocation tasks. By recognizing the central role of Lagrange multipliers, the underlying constrained optimization problem is formulated as a machine learning task involving both training and operational modes, with the goal of learning the sought multipliers in a fast and efficient manner. To this end, an order-optimal offline learning approach is developed first for batch training, and it is then generalized to the online setting with a procedure termed learn-and-adapt. The novel resource allocation protocol permeates benefits of stochastic approximation and statistical learning to obtain low-complexity online updates with learning errors close to the statistical accuracy limits, while still preserving adaptation performance, which in the stochastic network optimization context guarantees queue stability. Analysis and simulated tests demonstrate that the proposed data-driven approach improves the delay and convergence performance of existing resource allocation schemes.

The Impact of an Online Homework Management System on Student Performance and Course Satisfaction in Introductory Financial Accounting

ERIC Educational Resources Information Center

Fratto, Victoria; Sava, Magda Gabriela; Krivacek, Gregory J.

2016-01-01

Educators in all disciplines are searching for effective educational technologies that help students learn. One technology that has evolved is the online homework management system. The online homework management system permits professors to use the Internet to assign homework problems that students can complete online. Since this system is…

Developing Online Learning Resources: Big Data, Social Networks, and Cloud Computing to Support Pervasive Knowledge

ERIC Educational Resources Information Center

Anshari, Muhammad; Alas, Yabit; Guan, Lim Sei

2016-01-01

Utilizing online learning resources (OLR) from multi channels in learning activities promise extended benefits from traditional based learning-centred to a collaborative based learning-centred that emphasises pervasive learning anywhere and anytime. While compiling big data, cloud computing, and semantic web into OLR offer a broader spectrum of…

Web based Health Education, E-learning, for weight management.

PubMed

Heetebry, Irene; Hatcher, Myron; Tabriziani, Hossein

2005-12-01

Obesity is a major health problem across the United States and becoming a progressive world wide problem. An overweight person could access the weight management program and develop a personalized weight reduction plan. The customer enters specific data to personalize the program and in the future an artificial intelligence program can evaluate customer behavior and adjust accordingly. This is an on-line program with class room support, offered as back up when desired by the patient.

Online Resource-Based Learning Environment: Case Studies in Primary Classrooms

ERIC Educational Resources Information Center

So, Winnie Wing Mui; Ching, Fiona Ngai Ying

2012-01-01

This paper discusses the creation of learning environments with online resources by three primary school teachers for pupil's learning of science-related topics with reference to the resource-based e-learning environments (RBeLEs) framework. Teachers' choice of contexts, resources, tools, and scaffolds in designing the learning environments are…

Building a Blended Learning Program

ERIC Educational Resources Information Center

McLester, Susan

2011-01-01

"Online learning" often serves as an umbrella term that includes the subcategory of blended learning, which might also be referred to as hybrid learning, and comprises some combination of online and face-to-face time. Spurred in part by a 2009 U.S. Department of Education study, "Evaluation of Evidence-Based Practices in Online Learning," which…

Teaching with Technology: Applications of Collaborative Online Learning Units to Improve 21st Century Skills for All

ERIC Educational Resources Information Center

Terrazas-Arellanes, Fatima E.; Strycker, Lisa A.; Walden, Emily D.; Gallard, Alejandro

2017-01-01

Inquiry-based learning methods, coupled with advanced technology, hold promise for closing the science literacy gap for English learners (ELs) and students with learning difficulties (SWLDs). Project ESCOLAR (Etext Supports for Collaborative Online Learning and Academic Reading) created collaborative online learning units for middle school science…

Learning stoichiometry: A comparison of text and multimedia instructional formats

NASA Astrophysics Data System (ADS)

Evans, Karen L.

Even after multiple instructional opportunities, first year college chemistry students are often unable to apply stoichiometry knowledge in equilibrium and acid-base chemistry problem solving. Cognitive research findings suggest that for learning to be meaningful, learners need to actively construct their own knowledge by integrating new information into, and reorganizing, their prior understandings. Scaffolded inquiry in which facts, procedures, and principles are introduced as needed within the context of authentic problem solving may provide the practice and encoding opportunities necessary for construction of a memorable and usable knowledge base. The dynamic and interactive capabilities of online technology may facilitate stoichiometry instruction that promotes this meaningful learning. Entering college freshmen were randomly assigned to either a technology-rich or text-only set of cognitively informed stoichiometry review materials. Analysis of posttest scores revealed a significant but small difference in the performance of the two treatment groups, with the technology-rich group having the advantage. Both SAT and gender, however, explained more of the variability in the scores. Analysis of the posttest scores from the technology-rich treatment group revealed that the degree of interaction with the Virtual Lab simulation was significantly related to posttest performance and subsumed any effect of prior knowledge as measured by SAT scores. Future users of the online course should be encouraged to engage with the problem-solving opportunities provided by the Virtual Lab simulation through either explicit instruction and/or implementation of some level of program control within the course's navigational features.

Self-Arrangement of Fleeting Student Pairs: A Web 2.0 Approach for Peer Tutoring

ERIC Educational Resources Information Center

Westera, Wim; de Bakker, Gijs; Wagemans, Leo

2009-01-01

This article presents a Web 2.0 approach for the arrangement of peer tutoring in online learning. In online learning environments, the learners' expectations of obtaining frequent, one-to-one support from their teachers tend to increase the teachers' workloads to unacceptably high levels. To address this problem of workload a self-organised peer…

Using a Balance Scorecard Approach to Evaluate the Value of Service Learning Projects in Online Courses

ERIC Educational Resources Information Center

Schwieger, Dana

2015-01-01

Service learning projects serve as a valuable tool for applying course concepts in a way to benefit both the students and community. However, they often require a significant amount of additional effort beyond that required of assigning conventional homework problems. When the projects take place in an online course setting, the level of…

Minimizing Attrition in Online Degree Courses

ERIC Educational Resources Information Center

Boton, Eliani Colferai; Gregory, Sue

2015-01-01

The number of online programs in the higher education sector has increased dramatically in the last decade, and with it, an increase in attrition has become a recurring problem worldwide. Literature suggests that elements of culture, motivation, learning management systems and online pedagogy play a major role in attrition rates in the higher…

Understanding the Roles of Online Meetings in a Net-Based Course

ERIC Educational Resources Information Center

Berge, O.; Fjuk, A.

2006-01-01

It is argued elsewhere that online learning environments constitute new conditions for carrying out collaborative learning activities. This article explores the roles of a series of online meetings in such an environment. The online meetings are arranged as part of a net-based course on object-oriented programming, and constitute a recurring…

An evaluation of the efficacy of a triple P-positive parenting program podcast series.

PubMed

Morawska, Alina; Tometzki, Helen; Sanders, Matthew R

2014-01-01

Parenting programs based on cognitive-behavioral and social learning principles are effective in changing child behavior problems and parenting styles. However, such programs typically have limited population reach. The current study aimed to evaluate the efficacy of a brief radio series that provided parenting advice based on the Triple P-Positive Parenting Program. One hundred thirty-nine parents of children aged 2 to 10 years who had concerns about their child's behavioral and/or emotional adjustment were recruited, randomly assigned to either an intervention or waitlist control group, and completed online self-report measures. Parents in the intervention group were given access to seven Triple P podcasts online over a period of 2 weeks. Parents in the intervention group improved significantly more than parents in the control group, from pre- to postintervention, on measures of child behavioral problems and parenting style, self-efficacy, and confidence. These short-term intervention effects were maintained at the 6-month follow-up. These results suggest that brief radio and online parenting programs can be effective and have the potential to reach a large proportion of parents experiencing child behavior problems. Limitations, clinical significance, and future research suggestions are discussed.

A Comparison between Paper-Based and Online Learning in Higher Education

ERIC Educational Resources Information Center

Emerson, Lisa; MacKay, Bruce

2011-01-01

To date researchers have had difficulty establishing reliable conclusions in studies comparing traditional forms of learning (eg paper-based or classroom based) vs online learning in relation to student learning outcomes; no consistent results have emerged, and many studies have not been controlled for factors other than lesson mode. This paper…

Investigation of the Relationship between Learning Process and Learning Outcomes in E-Learning Environments

ERIC Educational Resources Information Center

Yurdugül, Halil; Menzi Çetin, Nihal

2015-01-01

Problem Statement: Learners can access and participate in online learning environments regardless of time and geographical barriers. This brings up the umbrella concept of learner autonomy that contains self-directed learning, self-regulated learning and the studying process. Motivation and learning strategies are also part of this umbrella…

Teaching basic medical sciences at a distance: strategies for effective teaching and learning in internet-based courses.

PubMed

Ertmer, Peggy A; Nour, Abdelfattah Y M

2007-01-01

In recent years, the Internet has become an effective and accessible delivery mechanism for distance education. In 2003, 81% of all institutions of higher education offered at least one fully online or hybrid course. By 2005, the proportion of institutions that listed online education as important to their long-term goals had increased by 8%. This growth in available online courses and their increased convenience and flexibility have stimulated dramatic increases in enrollment in online programs, including the Veterinary Technology Distance Learning Program (VT-DLP) at Purdue University. Regardless of the obvious benefits, distance learning (DL) can be frustrating for the learners if course developers are unable to merge their knowledge about the learners, the process of instructional design, and the appropriate uses of technology and interactivity options into effective course designs. This article describes strategies that we have used to increase students' learning of physiology content in an online environment. While some of these are similar, if not identical, to strategies that might be used in a face-to-face (f2f) environment (e.g., case studies, videos, concept maps), additional strategies (e.g., animations, virtual microscopy) are needed to replace or supplement what might normally occur in a f2f course. We describe how we have addressed students' need for instructional interaction, specifically in the context of two foundational physiology courses that occur early in the VT-DLP. Although the teaching and learning strategies we have used have led to increasingly high levels of interaction, there is an ongoing need to evaluate these strategies to determine their impact on students' learning of physiology content, their development of problem-solving skills, and their retention of information.

The Usage of an Online Discussion Forum for the Facilitation of Case-Based Learning in an Intermediate Accounting Course: A New Zealand Case

ERIC Educational Resources Information Center

Weil, Sidney; McGuigan, Nicholas; Kern, Thomas

2011-01-01

This paper describes the implementation of an online discussion forum as a means of facilitating case-based learning in an intermediate financial accounting course. The paper commences with a review of case-based learning literature and the use of online discussions as a delivery platform, linking these pedagogical approaches to the emerging needs…

Examining Gender Differences toward the Adoption of Online Learning and Predicting the Readiness of Faculty Members in a Middle-Eastern Recently Established Public University

ERIC Educational Resources Information Center

Abahussain, Mohammed Mansour

2017-01-01

This quantitative study examined the gender-based difference toward the adoption of online learning based on constructs of the Theory of Planned Behavior (TPB). It is also aimed to predict the Behavioral Intention of the adoption of online learning based on the predicting variables of the TPB, Attitude, Subjective Norm, and Perceived Behavioral…

RCR Online Course: Build an Online Course to Augment RCR Training Using Evidenced-Based Learning Theory

PubMed Central

Ratliff, Mary; Masen, Nicole; Sullivan, Stephen; Fleming, Michael F.; Carney, Paula

2013-01-01

This article demonstrates how to apply evidenced-based instructional design principles to develop a supplemental, online Responsible Conduct of Research (RCR) course. The supplement RCR course may serve to appropriately augment the National Institutes of Health (NIH) required RCR training. The way to ensure that an online RCR course is effective is to incorporate evidence-based learning theories into the development of the course content. This article specifically demonstrates application of Bloom’s taxonomy and Gagne’s Nine Instructional Events to a research misconduct course. At the conclusion, the reader will be able to apply evidence-based learning theories to the development of any online course. PMID:22861181

Transforming Pedagogy: Changing Perspectives from Teacher-Centered to Learner-Centered

ERIC Educational Resources Information Center

Dole, Sharon; Bloom, Lisa; Kowalske, Kristy

2016-01-01

This study used an online-structured interview methodology to examine the impact of an intensive field experience in facilitating problem (PBL) and project-based learning (PjBL) on teachers' pedagogy. The purpose of the study was to determine to what extent the field experience had transformed their teaching. Data were collected in the form of…

Not Just Fun, But Serious Strategies: Using Meta-Cognitive Strategies in Game-Based Learning

ERIC Educational Resources Information Center

Kim, Bokyeong; Park, Hyungsung; Baek, Youngkyun

2009-01-01

The purpose of this study is to explore the effects of the meta-cognitive strategies on the academic and gaming achievements. Exploring the effects of those achievements on the social problem solving of students is also of interest. For this purpose, the MMORPG [Massively Multiple Online Role Playing Game] "Gersang" was used. The…

A Dynamic Analysis of Why Learners Develop a Preference for Autonomous Learners in Computer-Mediated Communication

ERIC Educational Resources Information Center

Rienties, Bart; Tempelaar, Dirk; Giesbers, Bas; Segers, Mien; Gijselaers, Wim

2014-01-01

A large number of studies in CMC have assessed how social interaction, processes and learning outcomes are intertwined. The present research explores how the degree of self-determination of learners, that is the motivational orientation of a learner, influences the communication and interaction patterns in an online Problem Based Learning…

The P.E.A.C.E. Pack: A Computerized Online Assessment of School Bullying

ERIC Educational Resources Information Center

Slee, Phillip T.; Mohyla, Jury

2014-01-01

School bullying is an international problem with harmful outcomes for those involved. This study describes the design and field testing of an innovative computer-based social learning tool for assessing student perceptions of bullying developed for an Australian intervention program called the P.E.A.C.E. Pack. Students rate their peer group…

The effects of online science instruction using geographic information systems to foster inquiry learning of teachers and middle school science students

NASA Astrophysics Data System (ADS)

Hagevik, Rita Anne

This study investigated the effects of using Geographic Information Systems (GIS) to improve middle school students' and their teachers' understanding of environmental content and GIS. Constructivism provided the theoretical framework with Bonnstetter's inquiry evolution and Swartz's problem solving as the conceptual framework for designing these GIS units and interpreting the results. Teachers from nine schools in five counties attended a one-week workshop and follow-up session, where they learned how to teach the online Mapping Our School Site (www.ncsu.edu/scilink/studysite) and CITYgreen GIS inquiry-based problem-solving units. Two years after the workshop, two teachers from the workshop taught the six week Mapping Our School Site (MOSS) unit in the fall and one teacher from a different school taught the MOSS unit in the fall and the CITYgreen GIS unit in the spring. The students in the MOSS experimental group (n = 131) and the CITYgreen GIS comparison group (n = 33) were compared for differences in understanding of environmental content. Other factors were investigated such as students' spatial abilities, experiences, and learning preferences. Teachers and students completed the online Learning Styles Inventory (LSI), Spatial Experience Survey (SES), and the Purdue Spatial Visualization Test: Rotations (PSVT:R). Using qualitative and quantitative analyses, results indicated that the CITYgreen GIS group learned the environmental content better than the MOSS group. The MOSS group better understood how to design experiments and to use GIS to analyze problem questions. Both groups improved in problem identification and problem solving, data accuracy, and hypothesis testing. The spatial reasoning score was compared to learning style as reported on the LSI, and other spatial experiences as reported on the SES. Males scored higher than females on the spatial reasoning test, the more computer games played the higher the score, and the fewer shop classes taken the higher the score. Results indicated that 75% of the teachers' integrated GIS into classroom instruction two years after the GIS workshop. Even though teaching experience was negatively related to spatial reasoning test scores, implementation of GIS by teachers in the workshop was not influenced by years of teaching experience. The results indicate that GIS can be universally used for classroom instruction.

When the globe is your classroom: teaching and learning about large-scale environmental change online

NASA Astrophysics Data System (ADS)

Howard, E. A.; Coleman, K. J.; Barford, C. L.; Kucharik, C.; Foley, J. A.

2005-12-01

Understanding environmental problems that cross physical and disciplinary boundaries requires a more holistic view of the world - a "systems" approach. Yet it is a challenge for many learners to start thinking this way, particularly when the problems are large in scale and not easily visible. We will describe our online university course, "Humans and the Changing Biosphere," which takes a whole-systems perspective for teaching regional to global-scale environmental science concepts, including climate, hydrology, ecology, and human demographics. We will share our syllabus and learning objectives and summarize our efforts to incorporate "best" practices for online teaching. We will describe challenges we have faced, and our efforts to reach different learner types. Our goals for this presentation are: (1) to communicate how a systems approach ties together environmental sciences (including climate, hydrology, ecology, biogeochemistry, and demography) that are often taught as separate disciplines; (2) to generate discussion about challenges of teaching large-scale environmental processes; (3) to share our experiences in teaching these topics online; (4) to receive ideas and feedback on future teaching strategies. We will explain why we developed this course online, and share our experiences about benefits and challenges of teaching over the web - including some suggestions about how to use technology to supplement face-to-face learning experiences (and vice versa). We will summarize assessment data about what students learned during the course, and discuss key misconceptions and barriers to learning. We will highlight the role of an online discussion board in creating classroom community, identifying misconceptions, and engaging different types of learners.

Quality of Learning Outcomes in an Online Video-Based Learning Community: Potential and Challenges for Student Teachers

ERIC Educational Resources Information Center

So, Winnie Wing-mui

2012-01-01

This study investigates the learning outcomes of 25 student teachers in an online video-based learning community (VBLC). Data were drawn from the student teachers' written comments and feedback recorded in the VBLC and the post-course interviews. Based on Biggs and Collis's Structure of Observed Learning Outcomes (SOLO) taxonomy, the majority of…

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.

PubMed

Lequan Yu; Hao Chen; Qi Dou; Jing Qin; Pheng Ann Heng

2017-01-01

Automated polyp detection in colonoscopy videos has been demonstrated to be a promising way for colorectal cancer prevention and diagnosis. Traditional manual screening is time consuming, operator dependent, and error prone; hence, automated detection approach is highly demanded in clinical practice. However, automated polyp detection is very challenging due to high intraclass variations in polyp size, color, shape, and texture, and low interclass variations between polyps and hard mimics. In this paper, we propose a novel offline and online three-dimensional (3-D) deep learning integration framework by leveraging the 3-D fully convolutional network (3D-FCN) to tackle this challenging problem. Compared with the previous methods employing hand-crafted features or 2-D convolutional neural network, the 3D-FCN is capable of learning more representative spatio-temporal features from colonoscopy videos, and hence has more powerful discrimination capability. More importantly, we propose a novel online learning scheme to deal with the problem of limited training data by harnessing the specific information of an input video in the learning process. We integrate offline and online learning to effectively reduce the number of false positives generated by the offline network and further improve the detection performance. Extensive experiments on the dataset of MICCAI 2015 Challenge on Polyp Detection demonstrated the better performance of our method when compared with other competitors.

Research and Development of Web-Based Virtual Online Classroom

ERIC Educational Resources Information Center

Yang, Zongkai; Liu, Qingtang

2007-01-01

To build a web-based virtual learning environment depends on information technologies, concerns technology supporting learning methods and theories. A web-based virtual online classroom is designed and developed based on learning theories and streaming media technologies. And it is composed of two parts: instructional communicating environment…

Online Bayesian Learning with Natural Sequential Prior Distribution Used for Wind Speed Prediction

NASA Astrophysics Data System (ADS)

Cheggaga, Nawal

2017-11-01

Predicting wind speed is one of the most important and critic tasks in a wind farm. All approaches, which directly describe the stochastic dynamics of the meteorological data are facing problems related to the nature of its non-Gaussian statistics and the presence of seasonal effects .In this paper, Online Bayesian learning has been successfully applied to online learning for three-layer perceptron's used for wind speed prediction. First a conventional transition model based on the squared norm of the difference between the current parameter vector and the previous parameter vector has been used. We noticed that the transition model does not adequately consider the difference between the current and the previous wind speed measurement. To adequately consider this difference, we use a natural sequential prior. The proposed transition model uses a Fisher information matrix to consider the difference between the observation models more naturally. The obtained results showed a good agreement between both series, measured and predicted. The mean relative error over the whole data set is not exceeding 5 %.

Theoretically Based Pedagogical Strategies Leading to Deep Learning in Asynchronous Online Gerontology Courses

ERIC Educational Resources Information Center

Majeski, Robin; Stover, Merrily

2007-01-01

Online learning has enjoyed increasing popularity in gerontology. This paper presents instructional strategies grounded in Fink's (2003) theory of significant learning designed for the completely asynchronous online gerontology classroom. It links these components with the development of mastery learning goals and provides specific guidelines for…

Computer Proficiency for Online Learning: Factorial Invariance of Scores among Teachers

ERIC Educational Resources Information Center

Martin, Amy L.; Reeves, Todd D.; Smith, Thomas J.; Walker, David A.

2016-01-01

Online learning is variously employed in K-12 education, including for teacher professional development. However, the use of computer-based technologies for learning purposes assumes learner computer proficiency, making this construct an important domain of procedural knowledge in formal and informal online learning contexts. Addressing this…

Greeting You Online: Selecting Web-Based Conferencing Tools for Instruction in E-Learning Mode

ERIC Educational Resources Information Center

Li, Judy

2014-01-01

Academic distance learning programs have gained popularity and added to the demand for online library services. Librarians are now conducting instruction for distance learning students beyond their traditional work. Technology advancements have enhanced the delivery mode in distance learning across academic disciplines. Online conference tools…

Time pressure in scenario-based online construction safety quizzes and its effect on students' performance

NASA Astrophysics Data System (ADS)

Jaeger, Martin; Adair, Desmond

2017-05-01

Online quizzes have been shown to be effective learning and assessment approaches. However, if scenario-based online construction safety quizzes do not include time pressure similar to real-world situations, they reflect situations too ideally. The purpose of this paper is to compare engineering students' performance when carrying out an online construction safety quiz with time pressure versus an online construction safety quiz without time pressure. Two versions of an online construction safety quiz are developed and administered to randomly assigned engineering students based on a quasi-experimental post-test design. The findings contribute to scenario-based learning and assessment of construction safety in four ways. First, the results confirm earlier findings that 'intrinsic stress' does not seem to impair students' performance. Second, students who carry out the online construction safety quiz with time pressure are less likely to 'learn by trial and error'. Third, students exposed to time pressure appreciate that they become better prepared for real life. Finally, preparing students to work under time pressure is an important industry requirement. The results of this study should encourage engineering educators to explore and implement ways to include time pressure in scenario-based online quizzes and learning.

Learning Tasks, Peer Interaction, and Cognition Process: An Online Collaborative Design Model

ERIC Educational Resources Information Center

Du, Jianxia; Durrington, Vance A.

2013-01-01

This paper illustrates a model for Online Group Collaborative Learning. The authors based the foundation of the Online Collaborative Design Model upon Piaget's concepts of assimilation and accommodation, and Vygotsky's theory of social interaction. The four components of online collaborative learning include: individual processes, the task(s)…

Learning on Demand: Online Education in the United States, 2009

ERIC Educational Resources Information Center

Allen, I. Elaine; Seaman, Jeff

2010-01-01

"Learning on Demand: Online Education in the United States, 2009" represents the seventh annual report on the state of online learning among higher education institutions in the United States. The study is aimed at answering some of the fundamental questions about the nature and extent of online education. Based on responses from over…

Enquiry-Based Learning Online: Course Development and Student Experience of a First-Year Enquiry-Based Learning Seminar

ERIC Educational Resources Information Center

Murray, Jacqueline; Lachowsky, Nathan John; Green, Natalie

2017-01-01

Online courses are increasing in popularity while universities are using first-year seminars to address the challenges of large impersonal classes, lack of student engagement, and increased skills development. Could the learning experience and benefits of an in-person first-year seminar be achieved through an online distance education (DE) format?…

Multiple Pathways to Learning: An Examination of Universal Design and Online Strategic Learning in Higher Education

ERIC Educational Resources Information Center

Hicks, Maryruth Wilks

2010-01-01

The purpose of this study was to examine the effectiveness of universally designed (UD) instruction on strategic learning in an online, interactive learning environment (ILE). The research focused on the premise that the customizable, media-based framework of UD instruction might influence diverse online learning strategies. This study…

Student Experiences on Interaction in an Online Learning Environment as Part of a Blended Learning Implementation: What Is Essential?

ERIC Educational Resources Information Center

Salmi, Laura

2013-01-01

Interaction and community building are essential elements of a well functioning online learning environment, especially in learning environments based on investigative learning with a strong emphasis on teamwork. In this paper, practical solutions covering quality criteria for interaction in online education are presented for a simple…

The Direction of Web-based Training: A Practitioner's View.

ERIC Educational Resources Information Center

Kilby, Tim

2001-01-01

Web-based training has had achievements and disappointments as online learning has matured. Best practices include user-centered design, knowledge object structures, usability engineering, and formal evaluation. Knowledge management, peer-to-peer learning, and personal learning appliances will continue to alter the online learning landscape. (SK)

Threading Together Patient Expertise

PubMed Central

Civan, Andrea; Pratt, Wanda

2007-01-01

Patients are valuable sources of expertise for other patients in similar situations, but little is understood about the nature of this expertise. To address this knowledge gap, we investigated informational support as a mechanism for peers to help one another learn to cope with the breast cancer experience. We analyzed the types of problems discussed and recommendations offered by correspondents in three online breast cancer communities. Informational support was prevalent and directed towards problems in which correspondents were planning for future events or coping with emergent situations. Peers shared a wealth of patient expertise, including action strategies, recommended knowledge, suggested approaches, and information resources for dealing with problems. Our results highlight how peers are helping one another to learn. These findings bring insight to new support we could provide to patients for developing and sharing patient expertise, such as problem-based information organization and functionality for collaborative problem solving. PMID:18693814

Online Learning Tools as Supplements for Basic and Clinical Science Education.

PubMed

Ellman, Matthew S; Schwartz, Michael L

2016-01-01

Undergraduate medical educators are increasingly incorporating online learning tools into basic and clinical science curricula. In this paper, we explore the diversity of online learning tools and consider the range of applications for these tools in classroom and bedside learning. Particular advantages of these tools are highlighted, such as delivering foundational knowledge as part of the "flipped classroom" pedagogy and for depicting unusual physical examination findings and advanced clinical communication skills. With accelerated use of online learning, educators and administrators need to consider pedagogic and practical challenges posed by integrating online learning into individual learning activities, courses, and curricula as a whole. We discuss strategies for faculty development and the role of school-wide resources for supporting and using online learning. Finally, we consider the role of online learning in interprofessional, integrated, and competency-based applications among other contemporary trends in medical education are considered.

Online Learning Tools as Supplements for Basic and Clinical Science Education

PubMed Central

Ellman, Matthew S.; Schwartz, Michael L.

2016-01-01

Undergraduate medical educators are increasingly incorporating online learning tools into basic and clinical science curricula. In this paper, we explore the diversity of online learning tools and consider the range of applications for these tools in classroom and bedside learning. Particular advantages of these tools are highlighted, such as delivering foundational knowledge as part of the “flipped classroom” pedagogy and for depicting unusual physical examination findings and advanced clinical communication skills. With accelerated use of online learning, educators and administrators need to consider pedagogic and practical challenges posed by integrating online learning into individual learning activities, courses, and curricula as a whole. We discuss strategies for faculty development and the role of school-wide resources for supporting and using online learning. Finally, we consider the role of online learning in interprofessional, integrated, and competency-based applications among other contemporary trends in medical education are considered. PMID:29349323

Evaluation of an online, case-based interactive approach to teaching pathophysiology.

PubMed

Van Dijken, Pieter Canham; Thévoz, Sara; Jucker-Kupper, Patrick; Feihl, François; Bonvin, Raphaël; Waeber, Bernard

2008-06-01

The aim of this study was to evaluate a new pedagogical approach in teaching fluid, electrolyte and acid-base pathophysiology in undergraduate students. This approach comprises traditional lectures, the study of clinical cases on the web and a final interactive discussion of these cases in the classroom. When on the web, the students are asked to select laboratory tests that seem most appropriate to understand the pathophysiological condition underlying the clinical case. The percentage of students having chosen a given test is made available to the teacher who uses it in an interactive session to stimulate discussion with the whole class of students. The same teacher used the same case studies during 2 consecutive years during the third year of the curriculum. The majority of students answered the questions on the web as requested and evaluated positively their experience with this form of teaching and learning. Complementing traditional lectures with online case-based studies and interactive group discussions represents, therefore, a simple means to promote the learning and the understanding of complex pathophysiological mechanisms. This simple problem-based approach to teaching and learning may be implemented to cover all fields of medicine.

Sentiment classification technology based on Markov logic networks

NASA Astrophysics Data System (ADS)

He, Hui; Li, Zhigang; Yao, Chongchong; Zhang, Weizhe

2016-07-01

With diverse online media emerging, there is a growing concern of sentiment classification problem. At present, text sentiment classification mainly utilizes supervised machine learning methods, which feature certain domain dependency. On the basis of Markov logic networks (MLNs), this study proposed a cross-domain multi-task text sentiment classification method rooted in transfer learning. Through many-to-one knowledge transfer, labeled text sentiment classification, knowledge was successfully transferred into other domains, and the precision of the sentiment classification analysis in the text tendency domain was improved. The experimental results revealed the following: (1) the model based on a MLN demonstrated higher precision than the single individual learning plan model. (2) Multi-task transfer learning based on Markov logical networks could acquire more knowledge than self-domain learning. The cross-domain text sentiment classification model could significantly improve the precision and efficiency of text sentiment classification.

Ascertaining educational outcomes after assessment in children with learning disorders.

PubMed

Waber, Deborah P; Boiselle, Ellen C; Girard, Jonathan M; Amaral, Joseph L; Forbes, Peter W

2017-01-01

To survey educational outcomes after an interdisciplinary, neuropsychologically based team assessment for learning disorders. Parents of 137 children who underwent a comprehensive interdisciplinary neuropsychologically based assessment for learning problems completed an online survey one to four years later. Questions pertained broadly to school outcomes: positive or negative school responses, changes in special education services, and parental perceptions about the helpfulness of those services. These outcomes were examined in relation to demographic characteristics and parent satisfaction with the evaluation. We also obtained recent performance on state-based academic testing for descriptive purposes. Parents reported that schools generally responded positively (78%), and 70% reported that their children had access to more or different special education services after the evaluation. Parents nearly uniformly (98%) viewed these services as helpful. Positive changes in education services were related to income (lower income received more services, p < .05) and parent satisfaction with the evaluation (p < .05). The intensity of special education services was strongly related to performance on state-based testing (p < .0001-p < .01). School response is a relatively objective and meaningful metric of educational outcome after neuropsychologically based evaluation for children with learning problems.

On the Benefits of Seeking (and Avoiding) Help in Online Problem-Solving Environments

ERIC Educational Resources Information Center

Roll, Ido; Baker, Ryan S. J. d.; Aleven, Vincent; Koedinger, Kenneth R.

2014-01-01

Seeking the right level of help at the right time can support learning. However, in the context of online problem-solving environments, it is still not entirely clear which help-seeking strategies are desired. We use fine-grained data from 38 high school students who worked with the Geometry Cognitive Tutor for 2 months to better understand the…

The Influence of Adult Learners' Self-Directed Learning Readiness and Network Literacy on Online Learning Effectiveness: A Study of Civil Servants in Taiwan

ERIC Educational Resources Information Center

Lai, Horng-Ji

2011-01-01

This study examined the effect of civil servants' Self-Directed Learning Readiness (SDLR) and network literacy on their online learning effectiveness in a web-based training program. Participants were 283 civil servants enrolled in an asynchronous online learning program through an e-learning portal provided by the Regional Civil Service…

Social Learning Preferences of Adult Women Learners in a Competency-Based Online Learning Environment

ERIC Educational Resources Information Center

Lyman, Emily

2013-01-01

In this study a post-assessment survey was analyzed to seek for social learning preferences among women in a competency-based online learning environment. The survey asked what learning resources students used to prepare for the assessment. Each learning resource was given a relative sociability rating. This rating acts as the weighting for a…

Leadership Styles in Synchronous and Asynchronous Virtual Learning Environments

ERIC Educational Resources Information Center

Ruggieri, Stefano; Boca, Stefano; Garro, Maria

2013-01-01

A comparison of the effects of transactional and transformational leadership in synchronous and a synchronous online teamwork was conducted. In the study, groups of four participants interacted in online text chat and online text forum in problem solving tasks. The groups were lead by a confederate who acted as a transactional or a…

Assisting the integration of social media in problem-based learning sessions in the Faculty of Medicine at King Abdulaziz University.

PubMed

Awan, Zuhier A; Awan, Almuatazbellah A; Alshawwa, Lana; Tekian, Ara; Park, Yoon Soo

2018-05-07

Issues related to traditional Problem-Based Learning (PBL) at King Abdulaziz University Faculty of Medicine (KAU-FOM), including lack of student interaction between sessions and outdated instructional materials have led to the examining the use of social media. This study examines factors affecting the implementation of social media into PBL sessions Methods: Mentored social media activities were incorporated between PBL sessions to third year medical students. Ground rules were set, and students were kept on track with learning objectives and authentic references. An online survey consisting of 18 questions were administered to measure the impact of the social media model embedded between PBL sessions. Feedback showed major improvements in students' learning process as well as identifying areas for improvement. The highest ratings were in participation and communication, knowledge and information gathering, and cooperation and team-building. This paper indicates that incorporating social media could facilitate learning between PBL sessions. Furthermore, guidelines are proposed to help educators implement a social media model into their PBL sessions.

Instructors as Architects-Designing Learning Spaces for Discussion-Based Online Courses

ERIC Educational Resources Information Center

Wang, Yu-Mei; Chen, Derthanq Victor

2011-01-01

Online learning space design becomes a significant issue with the proliferation of online learning in higher education. Never before has the instructor been given such a privilege in building and molding the learning space to fulfill his/her instructional aspirations. However, enormous challenges are present to the instructor in taking advantage…

External and internal factors influencing self-directed online learning of physiotherapy undergraduate students in Sweden: a qualitative study.

PubMed

Hammarlund, Catharina Sjödahl; Nilsson, Maria H; Gummesson, Christina

2015-01-01

Online courses have become common in health sciences education. This learning environment can be designed using different approaches to support student learning. To further develop online environment, it is important to understand how students perceive working and learning online. The aim of this study is to identify aspects influencing students' learning processes and their adaptation to self-directed learning online. Thirty-four physiotherapy students with a mean age of 25 years (range, 21 to 34 years) participated. Qualitative content analysis and triangulation was used when investigating the students' self-reflections, written during a five week self-directed, problem-oriented online course. Two categories emerged: 'the influence of the structured framework' and 'communication and interaction with teachers and peers.' The learning processes were influenced by external factors, e.g., a clear structure including a transparent alignment of assignments and assessment. Important challenges to over-come were primarily internal factors, e.g., low self-efficacy, difficulties to plan the work effectively and adapting to a new environment. The analyses reflected important perspectives targeting areas which enable further course development. The influences of external and internal factors on learning strategies and self-efficacy are important aspects to consider when designing online courses. Factors such as pedagogical design, clarity of purpose, goals, and guidelines were important as well as continuous opportunities for communication and collaboration. Further studies are needed to understand and scaffold the motivational factors among students with low self-efficacy.

Digital Discourses in Early Childhood Educator Online Learning

ERIC Educational Resources Information Center

Hoffman, Emily Brown

2017-01-01

Active, dialogic participation is a necessary component of high quality teacher professional learning (Dunst, Bruder, & Hamby, 2015). However, logistical problems arise when implementing cooperative learning opportunities for early childhood educators, as preschool teachers are habitually separated from peers both institutionally and…

Measuring Teachers and Learners' Perceptions of the Quality of Their Online Learning Experience

ERIC Educational Resources Information Center

Gómez-Rey, Pilar; Barbera, Elena; Fernández-Navarro, Francisco

2016-01-01

This article explores the quality of the online learning experience based on the Sloan-C framework and the Online Learning Consortium's (OLC) quality scorecard. The OLC index has been implemented to evaluate quality in online programs from different perspectives. Despite this, the opinions of learners are ignored, and it is built using feedback…

Constructs of Student-Centered Online Learning on Learning Satisfaction of a Diverse Online Student Body: A Structural Equation Modeling Approach

ERIC Educational Resources Information Center

Ke, Fengfeng; Kwak, Dean

2013-01-01

The present study investigated the relationships between constructs of web-based student-centered learning and the learning satisfaction of a diverse online student body. Hypotheses on the constructs of student-centered learning were tested using structural equation modeling. The results indicated that five key constructs of student-centered…

A fast and accurate online sequential learning algorithm for feedforward networks.

PubMed

Liang, Nan-Ying; Huang, Guang-Bin; Saratchandran, P; Sundararajan, N

2006-11-01

In this paper, we develop an online sequential learning algorithm for single hidden layer feedforward networks (SLFNs) with additive or radial basis function (RBF) hidden nodes in a unified framework. The algorithm is referred to as online sequential extreme learning machine (OS-ELM) and can learn data one-by-one or chunk-by-chunk (a block of data) with fixed or varying chunk size. The activation functions for additive nodes in OS-ELM can be any bounded nonconstant piecewise continuous functions and the activation functions for RBF nodes can be any integrable piecewise continuous functions. In OS-ELM, the parameters of hidden nodes (the input weights and biases of additive nodes or the centers and impact factors of RBF nodes) are randomly selected and the output weights are analytically determined based on the sequentially arriving data. The algorithm uses the ideas of ELM of Huang et al. developed for batch learning which has been shown to be extremely fast with generalization performance better than other batch training methods. Apart from selecting the number of hidden nodes, no other control parameters have to be manually chosen. Detailed performance comparison of OS-ELM is done with other popular sequential learning algorithms on benchmark problems drawn from the regression, classification and time series prediction areas. The results show that the OS-ELM is faster than the other sequential algorithms and produces better generalization performance.

Facilitated versus Non-Facilitated Online Case Discussions: Comparing Differences in Problem Space Coverage

ERIC Educational Resources Information Center

Ertmer, Peggy A.; Koehler, Adrie A.

2015-01-01

The facilitator plays a key role in guiding students' efforts during case discussions. However, few studies have compared differences in learning outcomes for students participating in facilitated versus non-facilitated discussions. In this research, we used "problem space coverage" as a learning measure to compare outcomes between…

Active learning for solving the incomplete data problem in facial age classification by the furthest nearest-neighbor criterion.

PubMed

Wang, Jian-Gang; Sung, Eric; Yau, Wei-Yun

2011-07-01

Facial age classification is an approach to classify face images into one of several predefined age groups. One of the difficulties in applying learning techniques to the age classification problem is the large amount of labeled training data required. Acquiring such training data is very costly in terms of age progress, privacy, human time, and effort. Although unlabeled face images can be obtained easily, it would be expensive to manually label them on a large scale and getting the ground truth. The frugal selection of the unlabeled data for labeling to quickly reach high classification performance with minimal labeling efforts is a challenging problem. In this paper, we present an active learning approach based on an online incremental bilateral two-dimension linear discriminant analysis (IB2DLDA) which initially learns from a small pool of labeled data and then iteratively selects the most informative samples from the unlabeled set to increasingly improve the classifier. Specifically, we propose a novel data selection criterion called the furthest nearest-neighbor (FNN) that generalizes the margin-based uncertainty to the multiclass case and which is easy to compute, so that the proposed active learning algorithm can handle a large number of classes and large data sizes efficiently. Empirical experiments on FG-NET and Morph databases together with a large unlabeled data set for age categorization problems show that the proposed approach can achieve results comparable or even outperform a conventionally trained active classifier that requires much more labeling effort. Our IB2DLDA-FNN algorithm can achieve similar results much faster than random selection and with fewer samples for age categorization. It also can achieve comparable results with active SVM but is much faster than active SVM in terms of training because kernel methods are not needed. The results on the face recognition database and palmprint/palm vein database showed that our approach can handle problems with large number of classes. Our contributions in this paper are twofold. First, we proposed the IB2DLDA-FNN, the FNN being our novel idea, as a generic on-line or active learning paradigm. Second, we showed that it can be another viable tool for active learning of facial age range classification.

A Blended Learning Approach to Teaching Basic Pharmacokinetics and the Significance of Face-to-Face Interaction

PubMed Central

Holbrook, Jane

2010-01-01

Objective To assess pharmacy students' attitudes towards a blended-learning pharmacokinetics course. Design Narrated visual presentations and animations that illustrated kinetic processes and guided students through the use of software programs used for calculations were created. Other learning techniques used included online self-assessment quizzes, practice problem sets, and weekly face-to-face problem-solving tutorials. Assessment A precourse questionnaire to assess students' level of enthusiasm towards the blended-learning course and to solicit any concerns they had was administered at the beginning of the course. A postcourse questionnaire that included the same 4 Likert-scale items from the precourse questionnaire and follow-up open-ended questions was administered. Individual changes in level of enthusiasm were compared for individuals who completed both the precourse and postcourse questionnaire. Students' concerns about the blended method of learning had decreased postcourse while their enthusiasm for the benefits of blended learning had increased. Conclusion Students' initial concerns about the blended learning experience were focused on their ability to communicate with the instructor about the online components, but shifted to their own time management skills at the end of the course. Face-to-face interactions with each other and with the instructor were more highly rated than online interactions in this course. PMID:20798797

A blended learning approach to teaching basic pharmacokinetics and the significance of face-to-face interaction.

PubMed

Edginton, Andrea; Holbrook, Jane

2010-06-15

To assess pharmacy students' attitudes towards a blended-learning pharmacokinetics course. Narrated visual presentations and animations that illustrated kinetic processes and guided students through the use of software programs used for calculations were created. Other learning techniques used included online self-assessment quizzes, practice problem sets, and weekly face-to-face problem-solving tutorials. A precourse questionnaire to assess students' level of enthusiasm towards the blended-learning course and to solicit any concerns they had was administered at the beginning of the course. A postcourse questionnaire that included the same 4 Likert-scale items from the precourse questionnaire and follow-up open-ended questions was administered. Individual changes in level of enthusiasm were compared for individuals who completed both the precourse and postcourse questionnaire. Students' concerns about the blended method of learning had decreased postcourse while their enthusiasm for the benefits of blended learning had increased. Students' initial concerns about the blended learning experience were focused on their ability to communicate with the instructor about the online components, but shifted to their own time management skills at the end of the course. Face-to-face interactions with each other and with the instructor were more highly rated than online interactions in this course.

Adaptive learning in complex reproducing kernel Hilbert spaces employing Wirtinger's subgradients.

PubMed

Bouboulis, Pantelis; Slavakis, Konstantinos; Theodoridis, Sergios

2012-03-01

This paper presents a wide framework for non-linear online supervised learning tasks in the context of complex valued signal processing. The (complex) input data are mapped into a complex reproducing kernel Hilbert space (RKHS), where the learning phase is taking place. Both pure complex kernels and real kernels (via the complexification trick) can be employed. Moreover, any convex, continuous and not necessarily differentiable function can be used to measure the loss between the output of the specific system and the desired response. The only requirement is the subgradient of the adopted loss function to be available in an analytic form. In order to derive analytically the subgradients, the principles of the (recently developed) Wirtinger's calculus in complex RKHS are exploited. Furthermore, both linear and widely linear (in RKHS) estimation filters are considered. To cope with the problem of increasing memory requirements, which is present in almost all online schemes in RKHS, the sparsification scheme, based on projection onto closed balls, has been adopted. We demonstrate the effectiveness of the proposed framework in a non-linear channel identification task, a non-linear channel equalization problem and a quadrature phase shift keying equalization scheme, using both circular and non circular synthetic signal sources.

Exploratory Study on the Patterns of Online Interaction and Knowledge Co-Construction in Project-Based Learning

ERIC Educational Resources Information Center

Heo, Heeok; Lim, Kyu Yon; Kim, Youngsoo

2010-01-01

This study aims to investigate the patterns and the quality of online interaction during project-based learning (PjBL) on both micro and macro levels. To achieve this purpose, PjBL was implemented with online group activities in an undergraduate course. Social network analysis (SNA) and content analysis were employed to analyze online interaction…

Serious Game-Based and Nongame-Based Online Courses: Learning Experiences and Outcomes

ERIC Educational Resources Information Center

Hess, Taryn; Gunter, Glenda

2013-01-01

When combining the increasing use of online educational environments, the push to use serious video games and the lack of research on the effectiveness of online learning environments and video games, there is a clear need for further investigation into the use of serious video games in an online format. A mix methods model was used to triangulate…

Accommodating student learning styles and preferences in an online occupational therapy course.

PubMed

Doyle, Nancy Wolcott; Jacobs, Karen

2013-01-01

Occupational therapy's online education must be research-based and inclusive. One way to provide a more inclusive online learning experience is to attend to individual learning styles and preferences. This study uses the best available evidence on learning styles and online education to develop, implement, and study occupational therapy students' experiences with an online learning module and related assignment. Eight students consented to take an online survey after completing a learning module and related assignment in an online post-professional graduate course in occupational therapy. The survey explored their learning experience and its applicability to clinical work. Data gathered from multiple-choice, Likert-scale, and open-ended questions were descriptively analyzed. Results from this study suggest that students find the study of learning styles and preferences enjoyable and applicable to their clinical work, but are often motivated by factors such as time and technology when selecting the format of a course assignment.

Culturally Responsive Online Design: Learning at Intercultural Intersections

ERIC Educational Resources Information Center

Morong, Gail; DesBiens, Donna

2016-01-01

This article presents evidence-based guidelines to inform culturally responsive online learning design in higher education. Intercultural understanding is now a recognised core learning outcome in a large majority of Canadian public universities; however, supporting design methodology is underdeveloped, especially in online contexts. Our search…

New Learning Design in Distance Education: The Impact on Student Perception and Motivation

ERIC Educational Resources Information Center

Martens, Rob; Bastiaens, Theo; Kirschner, Paul A.

2007-01-01

Many forms of e-learning (such as online courses with authentic tasks and computer-supported collaborative learning) have become important in distance education. Very often, such e-learning courses or tasks are set up following constructivist design principles. Often, this leads to learning environments with authentic problems in ill-structured…

Clinical Competencies and the Basic Sciences: An Online Case Tutorial Paradigm for Delivery of Integrated Clinical and Basic Science Content

ERIC Educational Resources Information Center

DiLullo, Camille; Morris, Harry J.; Kriebel, Richard M.

2009-01-01

Understanding the relevance of basic science knowledge in the determination of patient assessment, diagnosis, and treatment is critical to good medical practice. One method often used to direct students in the fundamental process of integrating basic science and clinical information is problem-based learning (PBL). The faculty facilitated small…

A Course on Serious Game Design and Development Using an Online Problem-Based Learning Approach

ERIC Educational Resources Information Center

Kapralos, Bill; Fisher, Stephanie; Clarkson, Jessica; van Oostveen, Roland

2015-01-01

Purpose: The purpose of this paper is to describe a novel undergraduate course on serious game design and development that integrates both game and instructional design, thus providing an effective approach to teaching serious game design and development. Very little effort has been dedicated to the teaching of proper serious game design and…

A Qualitative Study on How Health Professional Students and Their PBL Facilitators Perceive the Use of Mobile Devices during PBL

ERIC Educational Resources Information Center

Chan, Lap Ki; Bridges, Susan M.; Doherty, Iain; Ng, Manwa L.; Jin, Jun; Sharma, Neel; Chan, Nam Kiu; Lai, Henrietta Yan Yu

2015-01-01

Mobile devices are increasingly being used by undergraduate students to access online information in the problem-based learning (PBL) process, initially in the self-directed phase, and more recently within face-to-face tutorials. This qualitative study across three undergraduate health professional programs used semi-structured interviews to…

Multilabel user classification using the community structure of online networks

PubMed Central

Papadopoulos, Symeon; Kompatsiaris, Yiannis

2017-01-01

We study the problem of semi-supervised, multi-label user classification of networked data in the online social platform setting. We propose a framework that combines unsupervised community extraction and supervised, community-based feature weighting before training a classifier. We introduce Approximate Regularized Commute-Time Embedding (ARCTE), an algorithm that projects the users of a social graph onto a latent space, but instead of packing the global structure into a matrix of predefined rank, as many spectral and neural representation learning methods do, it extracts local communities for all users in the graph in order to learn a sparse embedding. To this end, we employ an improvement of personalized PageRank algorithms for searching locally in each user’s graph structure. Then, we perform supervised community feature weighting in order to boost the importance of highly predictive communities. We assess our method performance on the problem of user classification by performing an extensive comparative study among various recent methods based on graph embeddings. The comparison shows that ARCTE significantly outperforms the competition in almost all cases, achieving up to 35% relative improvement compared to the second best competing method in terms of F1-score. PMID:28278242

Multilabel user classification using the community structure of online networks.

PubMed

Rizos, Georgios; Papadopoulos, Symeon; Kompatsiaris, Yiannis

2017-01-01

We study the problem of semi-supervised, multi-label user classification of networked data in the online social platform setting. We propose a framework that combines unsupervised community extraction and supervised, community-based feature weighting before training a classifier. We introduce Approximate Regularized Commute-Time Embedding (ARCTE), an algorithm that projects the users of a social graph onto a latent space, but instead of packing the global structure into a matrix of predefined rank, as many spectral and neural representation learning methods do, it extracts local communities for all users in the graph in order to learn a sparse embedding. To this end, we employ an improvement of personalized PageRank algorithms for searching locally in each user's graph structure. Then, we perform supervised community feature weighting in order to boost the importance of highly predictive communities. We assess our method performance on the problem of user classification by performing an extensive comparative study among various recent methods based on graph embeddings. The comparison shows that ARCTE significantly outperforms the competition in almost all cases, achieving up to 35% relative improvement compared to the second best competing method in terms of F1-score.

Grades, Student Satisfaction and Retention in Online and Face-to-Face Introductory Psychology Units: A Test of Equivalency Theory.

PubMed

Garratt-Reed, David; Roberts, Lynne D; Heritage, Brody

2016-01-01

There has been a recent rapid growth in the number of psychology courses offered online through institutions of higher education. The American Psychological Association has highlighted the importance of ensuring the effectiveness of online psychology courses (Halonen et al., 2013). Despite this, there have been inconsistent findings regarding student grades, satisfaction, and retention in online psychology units. Equivalency Theory (Simonson, 1999; Simonson et al., 1999) posits that online and classroom-based learners will attain equivalent learning outcomes when equivalent learning experiences are provided. We present a study of an online introductory psychology unit designed to provide equivalent learning experiences to the pre-existing face-to-face version of the unit. Using quasi-experimental methods, academic performance, student feedback, and retention data from 866 Australian undergraduate psychology students were examined to assess whether the online unit developed to provide equivalent learning experiences produced comparable outcomes to the 'traditional' unit delivered face-to-face. Student grades did not significantly differ between modes of delivery, except for a group-work based assessment where online students performed more poorly. Student satisfaction was generally high in both modes of the unit, with group-work the key source of dissatisfaction in the online unit. The results provide partial support for Equivalency Theory. The group-work based assessment did not provide an equivalent learning experience for students in the online unit highlighting the need for further research to determine effective methods of engaging students in online group activities. Consistent with previous research, retention rates were significantly lower in the online unit, indicating the need to develop effective strategies to increase online retention rates. While this study demonstrates successes in presenting students with an equivalent learning experience, we recommend that future research investigate means of successfully facilitating collaborative group-work assessment, and to explore contributing factors to actual student retention in online units beyond that of non-equivalent learning experiences.

Grades, Student Satisfaction and Retention in Online and Face-to-Face Introductory Psychology Units: A Test of Equivalency Theory

PubMed Central

Garratt-Reed, David; Roberts, Lynne D.; Heritage, Brody

2016-01-01

There has been a recent rapid growth in the number of psychology courses offered online through institutions of higher education. The American Psychological Association has highlighted the importance of ensuring the effectiveness of online psychology courses (Halonen et al., 2013). Despite this, there have been inconsistent findings regarding student grades, satisfaction, and retention in online psychology units. Equivalency Theory (Simonson, 1999; Simonson et al., 1999) posits that online and classroom-based learners will attain equivalent learning outcomes when equivalent learning experiences are provided. We present a study of an online introductory psychology unit designed to provide equivalent learning experiences to the pre-existing face-to-face version of the unit. Using quasi-experimental methods, academic performance, student feedback, and retention data from 866 Australian undergraduate psychology students were examined to assess whether the online unit developed to provide equivalent learning experiences produced comparable outcomes to the ‘traditional’ unit delivered face-to-face. Student grades did not significantly differ between modes of delivery, except for a group-work based assessment where online students performed more poorly. Student satisfaction was generally high in both modes of the unit, with group-work the key source of dissatisfaction in the online unit. The results provide partial support for Equivalency Theory. The group-work based assessment did not provide an equivalent learning experience for students in the online unit highlighting the need for further research to determine effective methods of engaging students in online group activities. Consistent with previous research, retention rates were significantly lower in the online unit, indicating the need to develop effective strategies to increase online retention rates. While this study demonstrates successes in presenting students with an equivalent learning experience, we recommend that future research investigate means of successfully facilitating collaborative group-work assessment, and to explore contributing factors to actual student retention in online units beyond that of non-equivalent learning experiences. PMID:27242587

The Construction of an Online Competitive Game-Based Learning System for Junior High School Students

ERIC Educational Resources Information Center

Cheng, Yuh-Ming; Kuo, Sheng-Huang; Lou, Shi-Jer; Shih, Ru-Chu

2012-01-01

The purpose of this study aimed to construct an online competitive game-based learning system by using freeware for junior high school students and to assess its effectiveness. From the learning standpoints, game mechanisms including learning points, competition mechanism, training room mechanism, questioning & answering mechanism, tips, and…

The Effect of Online Co-Regulated Learning in the Implementation of Team-Based Learning on Improving Students' Involvement

ERIC Educational Resources Information Center

Tsai, Chia-Wen

2015-01-01

Many education institutions and teachers are recognizing and applying online learning and related educational technologies to help students achieve satisfactory learning performance. Due to the free entertainment on the Internet that may distract students' attention from online courses and with the purpose of developing students' teamwork…

The Effectiveness of Web-Based Learning Environment: A Case Study of Public Universities in Kenya

ERIC Educational Resources Information Center

Kirui, Paul A.; Mutai, Sheila J.

2010-01-01

Web mining is emerging in many aspects of e-learning, aiming at improving online learning and teaching processes and making them more transparent and effective. Researchers using Web mining tools and techniques are challenged to learn more about the online students' reshaping online courses and educational websites, and create tools for…

Blackboard as an Online Learning Environment: What Do Teacher Education Students and Staff Think?

ERIC Educational Resources Information Center

Heirdsfield, Ann; Walker, Susan; Tambyah, Mallihai; Beutel, Denise

2011-01-01

As online learning environments now have an established presence in higher education we need to ask the question: How effective are these environments for student learning? Online environments can provide a different type of learning experience than traditional face-to-face contexts (for on-campus students) or print-based materials (for distance…

Roles and Student Identities in Online Large Course Forums: Implications for Practice

ERIC Educational Resources Information Center

Baxter, Jacqueline Aundree; Haycock, Jo

2014-01-01

The use of large online discussion forums within online and distance learning continues to grow. Recent innovations in online learning such as the MOOC (massive open online course) and concomitant growth in the use of online media for the delivery of courses in traditional campus based universities provide both opportunity and challenge for online…

Compensation of significant parametric uncertainties using sliding mode online learning

NASA Astrophysics Data System (ADS)

Schnetter, Philipp; Kruger, Thomas

An augmented nonlinear inverse dynamics (NID) flight control strategy using sliding mode online learning for a small unmanned aircraft system (UAS) is presented. Because parameter identification for this class of aircraft often is not valid throughout the complete flight envelope, aerodynamic parameters used for model based control strategies may show significant deviations. For the concept of feedback linearization this leads to inversion errors that in combination with the distinctive susceptibility of small UAS towards atmospheric turbulence pose a demanding control task for these systems. In this work an adaptive flight control strategy using feedforward neural networks for counteracting such nonlinear effects is augmented with the concept of sliding mode control (SMC). SMC-learning is derived from variable structure theory. It considers a neural network and its training as a control problem. It is shown that by the dynamic calculation of the learning rates, stability can be guaranteed and thus increase the robustness against external disturbances and system failures. With the resulting higher speed of convergence a wide range of simultaneously occurring disturbances can be compensated. The SMC-based flight controller is tested and compared to the standard gradient descent (GD) backpropagation algorithm under the influence of significant model uncertainties and system failures.

Online blind source separation using incremental nonnegative matrix factorization with volume constraint.

PubMed

Zhou, Guoxu; Yang, Zuyuan; Xie, Shengli; Yang, Jun-Mei

2011-04-01

Online blind source separation (BSS) is proposed to overcome the high computational cost problem, which limits the practical applications of traditional batch BSS algorithms. However, the existing online BSS methods are mainly used to separate independent or uncorrelated sources. Recently, nonnegative matrix factorization (NMF) shows great potential to separate the correlative sources, where some constraints are often imposed to overcome the non-uniqueness of the factorization. In this paper, an incremental NMF with volume constraint is derived and utilized for solving online BSS. The volume constraint to the mixing matrix enhances the identifiability of the sources, while the incremental learning mode reduces the computational cost. The proposed method takes advantage of the natural gradient based multiplication updating rule, and it performs especially well in the recovery of dependent sources. Simulations in BSS for dual-energy X-ray images, online encrypted speech signals, and high correlative face images show the validity of the proposed method.

The Effects of Online Homework on First Year Pre-Service Science Teachers' Learning Achievements of Introductory Organic Chemistry

ERIC Educational Resources Information Center

Ratniyom, Jadsada; Boonphadung, Suttipong; Unnanantn, Thassanant

2016-01-01

This study examined the effects of the introductory organic chemistry online homework on first year pre-service science teachers' learning achievements. The online homework was created using a web-based Google form in order to enhance the pre-service science teachers' learning achievements. The steps for constructing online homework were…

Online Community-Based Learning as the Practice of Freedom: The Online Capstone Experience at Portland State University

ERIC Educational Resources Information Center

Arthur, Deborah Smith; Newton-Calvert, Zapoura

2015-01-01

Given the design of Portland State University's (PSU) undergraduate curriculum culminating in a capstone experience, the dramatic growth in online courses and online enrollments required a re-thinking of the capstone model to ensure all students could participate in this effective learning model and have a powerful learning experience. In recent…

Facing the Challenge of e-Learning: Reflections on Teaching Evidence-Based Practice through Online Discussion Groups

ERIC Educational Resources Information Center

Clegg, Phil; Heap, John

2006-01-01

The advent of e-learning in higher education has entailed extensive use of online discussion boards to promote collaborative learning among students; however, the role of instructors as online facilitators is typically ill-defined due to a lack of sufficient standards or guidelines for good practice. In their audit of online discussion forum…

Gender Differences in Self-Regulated Online Learning Environment

ERIC Educational Resources Information Center

Yukselturk, Erman; Bulut, Safure

2009-01-01

This study analyzed gender differences in self-regulated learning components, motivational beliefs and achievement in self-regulated online learning environment. Sample of the study consisted of 145 participants from an online programming course which is based on synchronous and asynchronous communication methods over the Internet. Motivated…

Effects of Learning Styles on Online Professional Development with Educators

ERIC Educational Resources Information Center

Aden, Lori Ann Parsley

2010-01-01

Although the field of distance education is growing, according to research, most online courses only use text-based instructional strategies instead of incorporating various instructional strategies to match differing learning styles. Furthermore, studies of learning styles in online professional development courses are limited. Using a…

The Effects of Online Interactive Games on High School Students' Achievement and Motivation in History Learning

ERIC Educational Resources Information Center

Lin, Kuan-Cheng; Wei, Yu Che; Hung, Jason C.

2012-01-01

Many studies demonstrate that Digital Game Based Learning (DGBL) can foster learning effect. The purpose of this study is to survey whether the online game in junior high school students can encourage learning effect in Taiwan's History. So, the research applied Interactive Game-based Learning System (IGLS) to junior high history teaching as an…

A Pilot Study: Facilitating Cross-Cultural Understanding with Project-Based Collaborative Learning in an Online Environment

ERIC Educational Resources Information Center

Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min

2015-01-01

This study investigated three aspects: how project-based collaborative learning facilitates cross-cultural understanding; how students perceive project-based collaborative learning implementation in a collaborative cyber community (3C) online environment; and what types of communication among students are used. A qualitative case study approach…

Archiving Student Solutions with Tablet PCs in a Discussion-based Introductory Physics Class

NASA Astrophysics Data System (ADS)

Price, Edward; De Leone, Charles

2008-10-01

Many active learning based physics courses use whiteboards as a space for groups to respond to prompts based on short lab activities, problem solving, or inquiry-oriented activities. Whiteboards are volatile; once erased, the material is lost. Tablet PCs and software such as Ubiquitous Presenter can be used as digital whiteboards in active learning classes. This enables automatic capture and archiving of student work for online review by students, instructors, and researchers. We studied the use of digital whiteboards in an active-learning introductory physics course at California State University, San Marcos. In this paper we examine the archival features of digital whiteboards', and characterize the use of these features by students and instructors, and explore possible uses for researchers and curriculum developers.

Modified teaching approach for an enhanced medical physics graduate education experience

PubMed Central

Rutel, IB

2011-01-01

Lecture-based teaching promotes a passive interaction with students. Opportunities to modify this format are available to enhance the overall learning experience for both students and instructors. The description for a discussion-based learning format is presented as it applies to a graduate curriculum with technical (formal mathematical derivation) topics. The presented hybrid method involves several techniques, including problem-based learning, modeling, and online lectures, eliminating didactic lectures. The results from an end-of-course evaluation show that the students appear to prefer the modified format over the more traditional methodology of “lecture only” contact time. These results are motivation for further refinement and continued implementation of the described methodology in the current course and potentially other courses within the department graduate curriculum. PMID:22279505

Decentralized stabilization for a class of continuous-time nonlinear interconnected systems using online learning optimal control approach.

PubMed

Liu, Derong; Wang, Ding; Li, Hongliang

2014-02-01

In this paper, using a neural-network-based online learning optimal control approach, a novel decentralized control strategy is developed to stabilize a class of continuous-time nonlinear interconnected large-scale systems. First, optimal controllers of the isolated subsystems are designed with cost functions reflecting the bounds of interconnections. Then, it is proven that the decentralized control strategy of the overall system can be established by adding appropriate feedback gains to the optimal control policies of the isolated subsystems. Next, an online policy iteration algorithm is presented to solve the Hamilton-Jacobi-Bellman equations related to the optimal control problem. Through constructing a set of critic neural networks, the cost functions can be obtained approximately, followed by the control policies. Furthermore, the dynamics of the estimation errors of the critic networks are verified to be uniformly and ultimately bounded. Finally, a simulation example is provided to illustrate the effectiveness of the present decentralized control scheme.

Developing leadership practices in hospital-based nurse educators in an online learning community.

PubMed

Stutsky, Brenda J; Spence Laschinger, Heather K

2014-01-01

Hospital-based nurse educators are in a prime position to mentor future nurse leaders; however, they need to first develop their own leadership practices. The goal was to establish a learning community where hospital-based nurse educators could develop their own nursing leadership practices within an online environment that included teaching, cognitive, and social presence. Using a pretest/posttest-only nonexperimental design, 35 nurse educators from three Canadian provinces engaged in a 12-week online learning community via a wiki where they learned about exemplary leadership practices and then shared stories about their own leadership practices. Nurse educators significantly increased their own perceived leadership practices after participation in the online community, and teaching, cognitive, and social presence was determined to be present in the online community. It was concluded that leadership development can be enhanced in an online learning community using a structured curriculum, multimedia presentations, and the sharing and analysis of leadership stories. Educators who participated should now be better equipped to role model exemplary leadership practices and mentor our nurse leaders of the future.

The Challenges, Rewards and Pitfalls in Teaching Online Searching.

ERIC Educational Resources Information Center

Huq, A. M. Abdul

Online searching is now a recognized specialization in library schools, but there are certain problems involved with offering online courses. There is a large amount of material to be covered, especially in one course. Students must learn new concepts and make them work in a machine environment. It is difficult to offer suggestions for a fruitful…

Robust reinforcement learning.

PubMed

Morimoto, Jun; Doya, Kenji

2005-02-01

This letter proposes a new reinforcement learning (RL) paradigm that explicitly takes into account input disturbance as well as modeling errors. The use of environmental models in RL is quite popular for both offline learning using simulations and for online action planning. However, the difference between the model and the real environment can lead to unpredictable, and often unwanted, results. Based on the theory of H(infinity) control, we consider a differential game in which a "disturbing" agent tries to make the worst possible disturbance while a "control" agent tries to make the best control input. The problem is formulated as finding a min-max solution of a value function that takes into account the amount of the reward and the norm of the disturbance. We derive online learning algorithms for estimating the value function and for calculating the worst disturbance and the best control in reference to the value function. We tested the paradigm, which we call robust reinforcement learning (RRL), on the control task of an inverted pendulum. In the linear domain, the policy and the value function learned by online algorithms coincided with those derived analytically by the linear H(infinity) control theory. For a fully nonlinear swing-up task, RRL achieved robust performance with changes in the pendulum weight and friction, while a standard reinforcement learning algorithm could not deal with these changes. We also applied RRL to the cart-pole swing-up task, and a robust swing-up policy was acquired.

Online EEG-Based Workload Adaptation of an Arithmetic Learning Environment.

PubMed

Walter, Carina; Rosenstiel, Wolfgang; Bogdan, Martin; Gerjets, Peter; Spüler, Martin

2017-01-01

In this paper, we demonstrate a closed-loop EEG-based learning environment, that adapts instructional learning material online, to improve learning success in students during arithmetic learning. The amount of cognitive workload during learning is crucial for successful learning and should be held in the optimal range for each learner. Based on EEG data from 10 subjects, we created a prediction model that estimates the learner's workload to obtain an unobtrusive workload measure. Furthermore, we developed an interactive learning environment that uses the prediction model to estimate the learner's workload online based on the EEG data and adapt the difficulty of the learning material to keep the learner's workload in an optimal range. The EEG-based learning environment was used by 13 subjects to learn arithmetic addition in the octal number system, leading to a significant learning effect. The results suggest that it is feasible to use EEG as an unobtrusive measure of cognitive workload to adapt the learning content. Further it demonstrates that a promptly workload prediction is possible using a generalized prediction model without the need for a user-specific calibration.

Myths about drinking alcohol

MedlinePlus

... Not Have a Problem Because I Only Drink Wine and Beer Problem drinking is not about what ... this important distinction for online health information and services. Learn more about A.D.A.M.'s editorial ...

Sparse Bayesian Learning for Nonstationary Data Sources

NASA Astrophysics Data System (ADS)

Fujimaki, Ryohei; Yairi, Takehisa; Machida, Kazuo

This paper proposes an online Sparse Bayesian Learning (SBL) algorithm for modeling nonstationary data sources. Although most learning algorithms implicitly assume that a data source does not change over time (stationary), one in the real world usually does due to such various factors as dynamically changing environments, device degradation, sudden failures, etc (nonstationary). The proposed algorithm can be made useable for stationary online SBL by setting time decay parameters to zero, and as such it can be interpreted as a single unified framework for online SBL for use with stationary and nonstationary data sources. Tests both on four types of benchmark problems and on actual stock price data have shown it to perform well.

Using Research-Based Interactive Video Vignettes to Enhance Out-of-Class Learning in Introductory Physics

NASA Astrophysics Data System (ADS)

Laws, Priscilla W.; Willis, Maxine C.; Jackson, David P.; Koenig, Kathleen; Teese, Robert

2015-02-01

Ever since the first generalized computer-assisted instruction system (PLATO1) was introduced over 50 years ago, educators have been adding computer-based materials to their classes. Today many textbooks have complete online versions that include video lectures and other supplements. In the past 25 years the web has fueled an explosion of online homework and course management systems, both as blended learning and online courses. Meanwhile, introductory physics instructors have been implementing new approaches to teaching based on the outcomes of Physics Education Research (PER). A common theme of PER-based instruction has been the use of active-learning strategies designed to help students overcome alternative conceptions that they often bring to the study of physics.2 Unfortunately, while classrooms have become more active, online learning typically relies on passive lecture videos or Kahn-style3 tablet drawings. To bring active learning online, the LivePhoto Physics Group has been developing Interactive Video Vignettes (IVVs) that add interactivity and PER-based elements to short presentations. These vignettes incorporate web-based video activities that contain interactive elements and typically require students to make predictions and analyze real-world phenomena.

Self-assessed learning style correlates to use of supplemental learning materials in an online course management system.

PubMed

Halbert, Caitlin; Kriebel, Richard; Cuzzolino, Robert; Coughlin, Patrick; Fresa-Dillon, Kerin

2011-01-01

The benefit of online learning materials in medical education is not well defined. The study correlated certain self-identified learning styles with the use of self-selected online learning materials. First-year osteopathic medical students were given access to review and/or summary materials via an online course management system (CMS) while enrolled in a pre-clinical course. At the end of the course, students completed a self-assessment of learning style based on the Index of Learning Styles and a brief survey regarding their usage and perceived advantage of the online learning materials. Students who accessed the online materials earned equivalent grades to those who did not. However, the study found that students who described their learning styles as active, intuitive, global, and/or visual were more likely to use online educational resources than those who identified their learning style as reflective, sensing, sequential, and/or verbal. Identification of a student's learning style can help medical educators direct students to learning resources that best suit their individual needs.

What Online Networks Offer: "Online Network Compositions and Online Learning Experiences of Three Ethnic Groups"

ERIC Educational Resources Information Center

Lecluijze, Suzanne Elisabeth; de Haan, Mariëtte; Ünlüsoy, Asli

2015-01-01

This exploratory study examines ethno-cultural diversity in youth's narratives regarding their "online" learning experiences while also investigating how these narratives can be understood from the analysis of their online network structure and composition. Based on ego-network data of 79 respondents this study compared the…

Online Tutor 2.0: Methodologies and Case Studies for Successful Learning

ERIC Educational Resources Information Center

García-Peñalvo, Francisco José, Ed.; Seoane-Pardo, Antonio Miguel, Ed.

2014-01-01

After centuries of rethinking education and learning, the current theory is based on technology's approach to and affect on the planned interaction between knowledge trainers and trainees. "Online Tutor 2.0: Methodologies and Case Studies for Successful Learning" demonstrates, through the exposure of successful cases in online education…

Does a Case-Based Online Group Project Increase Students' Satisfaction with Interaction in Online Courses?

ERIC Educational Resources Information Center

Lee, Sang Joon; Ngampornchai, Anchalee; Trail-Constant, Trudian; Abril, Andres; Srinivasan, Sandhya

2016-01-01

Due to the realistic, complex natures of authentic cases involved in case-based learning, the use of group work has been encouraged and expected to enhance the quality of interaction among participants and to improve students' learning experiences. The purpose of this study was to investigate whether the case-based online group work increased…

A Comparison of Learning Outcomes in Skills-Based Courses: Online versus Face-to-Face Formats

ERIC Educational Resources Information Center

Callister, Ronda Roberts; Love, Mary Sue

2016-01-01

In comparing the learning outcomes of online versus face-to-face courses, skills-based forms of instruction have received little attention. This study asks the question "Can skills-based courses taught online achieve the same outcomes as face-to-face courses in which the instructor and students interacting in real time may have higher levels…

Facilitating interpersonal interaction and learning online: linking theory and practice.

PubMed

Sargeant, Joan; Curran, Vernon; Allen, Michael; Jarvis-Selinger, Sandra; Ho, Kendall

2006-01-01

An earlier study of physicians' perceptions of interactive online learning showed that these were shaped both by program design and quality and the quality and quantity of interpersonal interaction. We explore instructor roles in enhancing online learning through interpersonal interaction and the learning theories that inform these. This was a qualitative study using focus groups and interviews. Using purposive sampling, 50 physicians were recruited based on their experience with interactive online CME and face-to-face CME. Qualitative thematic and interpretive analysis was used. Two facilitation roles appeared key: creating a comfortable learning environment and enhancing the educational value of electronic discussions. Comfort developed gradually, and specific interventions like facilitating introductions and sharing experiences in a friendly, informative manner were helpful. As in facilitating effective small-group learning, instructors' thoughtful use of techniques that facilitated constructive interaction based on learner's needs and practice demands contributed to the educational value of interpersonal interactions. Facilitators require enhanced skills to engage learners in meaningful interaction and to overcome the transactional distance of online learning. The use of learning theories, including behavioral, cognitive, social, humanistic, and constructivist, can strengthen the educational design and facilitation of online programs. Preparation for online facilitation should include instruction in the roles and techniques required and the theories that inform them.

An analysis of learning in an online biology course for teachers and teacher candidates: A mixed methods approach

NASA Astrophysics Data System (ADS)

Lebec, Michael Thomas

Due to discipline specific shortages, web-based learning has been proposed as a convenient way to upgrade the content knowledge of instructors interested in learning to teach science. Despite quantitative evidence that web-based instruction is equivalent to traditional methods, questions remain regarding its use. The efficiency and practicality of this approach with teachers in particular has not been extensively studied. This investigation examines learning in an online biology course designed to help teachers prepare for science certification exams. Research questions concern flow teachers learn biology in the online environment and how this setting influences the learning process. Quantitative and qualitative methodologies are employed in an attempt to provide a more complete perspective than typical studies of online learning. Concept maps, tests, and online discussion transcripts are compared as measures of assimilated knowledge, while interviews reflect participants' views on the course. Findings indicate that participants experienced gains in declarative knowledge, but little improvement with respect to conditional knowledge. Qualitative examination of concept maps demonstrates gaps in participants' understandings of key course ideas. Engagement in the use of online resources varied according to participants' attitudes towards online learning. Subjects also reported a lack of motivation to fully engage in the course due to busy teaching schedules and the absence of accountability.

Facilitating Learning in Multidisciplinary Groups with Transactive CSCL Scripts

ERIC Educational Resources Information Center

Noroozi, Omid; Teasley, Stephanie D.; Biemans, Harm J. A.; Weinberger, Armin; Mulder, Martin

2013-01-01

Knowledge sharing and transfer are essential for learning in groups, especially when group members have different disciplinary expertise and collaborate online. Computer-Supported Collaborative Learning (CSCL) environments have been designed to facilitate transactive knowledge sharing and transfer in collaborative problem-solving settings. This…

Blending Formal and Informal Learning Networks for Online Learning

ERIC Educational Resources Information Center

Czerkawski, Betül C.

2016-01-01

With the emergence of social software and the advance of web-based technologies, online learning networks provide invaluable opportunities for learning, whether formal or informal. Unlike top-down, instructor-centered, and carefully planned formal learning settings, informal learning networks offer more bottom-up, student-centered participatory…

Educational technology integration and distance learning in respiratory care: practices and attitudes.

PubMed

Hopper, Keith B; Johns, Carol L

2007-11-01

Educational technologies have had an important role in respiratory care. Distance learning via postal correspondence has been used extensively in respiratory care, and Internet-based distance learning is now used in the training of respiratory therapists (RTs), clinical continuing education, and in baccalaureate degree and higher programs for RTs and educators. To describe the current scope of respiratory care educational technology integration, including distance learning. To investigate online research potential in respiratory care. A probabilistic online survey of United States respiratory care program directors was conducted on educational technology practices and attitudes, including distance learning. A parallel exploratory study of United States respiratory care managers was conducted. One-hundred seventy-seven (53%) program directors participated. One-hundred twenty-eight respiratory care managers participated. For instructional purposes, the respiratory care programs heavily use office-productivity software, the Internet, e-mail, and commercial respiratory care content-based computer-based instruction. The programs use, or would use, online resources provided by text publishers, but there is a paucity. Many program directors reported that their faculty use personal digital assistants (PDAs), often in instructional roles. 74.6% of the programs offer no fully online courses, but 61.0% reported at least one course delivered partially online. The managers considered continuing education via online technologies appropriate, but one third reported that they have not/will not hire RTs trained via distance learning. Neither group considered fully online courses a good match for RT training, nor did they consider training via distance learning of comparable quality to on-campus programs. Both groups rated baccalaureate and higher degrees via distance learning higher if the program included face-to-face instruction. Online distance-learning participatory experience generally improved attitudes toward distance learning. There was a good match between manager RT expectations in office-productivity software and program instructional practices. Educational technologies have an important role in respiratory care. Online distance learning for baccalaureate and higher degrees in respiratory care is promising. Online distance learning in respiratory care must include face-to-face instruction. Distance-learning deployment in respiratory care will require resources. A follow-up probabilistic survey of United States respiratory care managers is needed. Online surveys conducted for respiratory care are promising, but neither less expensive nor easier than conventional means.

On-line and Mobil Learning Activities

NASA Astrophysics Data System (ADS)

Ackerman, S. A.; Whittaker, T. M.; Jasmin, T.; Mooney, M. E.

2012-12-01

Introductory college-level science courses for non-majors are critical gateways to imparting not only discipline-specific information, but also the basics of the scientific method and how science influences society. They are also indispensable for student success to degree. On-line, web-based homework (whether on computers or mobile devices) is a rapidly growing use of the Internet and is becoming a major component of instruction in science, replacing delayed feedback from a few major exams. Web delivery and grading of traditional textbook-type questions is equally effective as having students write them out for hand grading, as measured by student performance on conceptual and problem solving exams. During this presentation we will demonstrate some of the interactive on-line activities used to teach concepts and how scientists approach problem solving, and how these activities have impacted student learning. Evaluation of the activities, including formative and summative, will be discussed and provide evidence that these interactive activities significantly enhance understanding of introductory meteorological concepts in a college-level science course. More advanced interactive activities are also used in our courses for department majors, some of these will be discussed and demonstrated. Bring your mobile devices to play along! Here is an example on teaching contouring: http://profhorn.aos.wisc.edu/wxwise/contour/index.html

Mining for preparatory processes of transfer learning in a blended course

NASA Astrophysics Data System (ADS)

Ng, K.; Hartman, K.; Goodkin, N.; Wai Hoong Andy, K.

2017-12-01

585 undergraduate science students enrolled in a multidisciplinary environmental sustainability course. Each week, students were given the opportunity to read online materials, answer multiple choice and short answer questions, and attend a three-hour lecture. The online materials and questions were released one week prior to the lecture. After each week, we mined the student data logs exported from the course learning management system and used a model-based clustering algorithm to divide the class into six groups according to resource access patterns. The patterns were mostly based on the frequency with which a student accessed the items in the growing set of online resources and whether those resources were relevant to the upcoming exam. Each exam was self-contained—meaning the second exam did not reference content taught during the first half of the course. The exam items themselves were intentionally designed to provide a mix of recall, application, and transfer items. Recall items referenced facts and examples provided during the lectures and course materials. Application items asked students to solve problems using the methods shown during lecture. Transfer items asked students to use what they had learned to analyze new data sets and unfamiliar problems. We then used a log-likelihood analysis to determine if there were differences in item accuracy on the exams by resource pattern clusters. We found students who deviated from the majority of student access patterns by accessing prior material during the recess break before new material had been assigned and introduced performed significantly more accurately on the transfer items than the other cluster groups. This finding fits with the concept of Preparation for Future Learning (Bransford & Schwartz, 1999) which suggests learners can be strategic about their learning to prepare themselves to complete new tasks in the future. Our findings also suggest that using learning analytics to call attention activity during expected lulls in a course might be a productive method of predicting future performance. Bransford, J. D., & Schwartz, D. L. (1999). Rethinking transfer: A simple proposal with multiple implications. In A. Iran-Nejad & P. D. Pearson (Eds.), Review of research in education, 24 (pp. 61-101). Washington, DC: American Educational Research Association

Using Learning Analytics to Enhance Student Learning in Online Courses Based on Quality Matters Standards

ERIC Educational Resources Information Center

Martin, Florence; Ndoye, Abdou; Wilkins, Patricia

2016-01-01

Quality Matters is recognized as a rigorous set of standards that guide the designer or instructor to design quality online courses. We explore how Quality Matters standards guide the identification and analysis of learning analytics data to monitor and improve online learning. Descriptive data were collected for frequency of use, time spent, and…

Technology and Cognition Merge with Challenge-Based Learning Cycles Online

ERIC Educational Resources Information Center

Cobbett, Shelley L.

2013-01-01

Teaching and learning in Web-based courses has become a global phenomenon. Educators are grappling with merging cognition and technology to offer students quality, relevant online courses. The development of social presence in the online environment is of paramount importance and requires individuals to engage in meaningful interactions about, and…

An Instructional Strategy Framework for Online Learning Environments.

ERIC Educational Resources Information Center

Johnson, Scott D.; Aragon, Steven R.

The rapid growth of Web-based instruction has raised many questions about the quality of online courses. It appears that many online courses are simply modeled after traditional forms of instruction instead of incorporating a design that takes advantage of the unique capabilities of Web-based learning environments. This paper describes a research…

Authentic Project-Based Design of Professional Development for Teachers Studying Online and Blended Teaching

ERIC Educational Resources Information Center

Dabner, Nicki; Davis, Niki; Zaka, Pinelopi

2012-01-01

Online learning and teaching is rapidly increasing in many countries, including high schools in the USA and teacher education worldwide. Online and blended approaches to professional and organizational development are, therefore, becoming essential to enable effective and equitable education. Authentic project-based learning to support the…

Interdisciplinary Project-Based Learning: An Online Wiki Experience in Teacher Education

ERIC Educational Resources Information Center

Biasutti, Michele; EL-Deghaidy, Heba

2015-01-01

In the current research study the use of Wikis as an online didactic tool to apply project-based learning in higher education was reported. The study was conducted in university teacher education programmes. During the online activities, participants developed interdisciplinary projects for the primary school working collaboratively in small…

External and internal factors influencing self-directed online learning of physiotherapy undergraduate students in Sweden: a qualitative study

PubMed Central

Hammarlund, Catharina Sjödahl; Nilsson, Maria H.; Gummesson, Christina

2015-01-01

Purpose: Online courses have become common in health sciences education. This learning environment can be designed using different approaches to support student learning. To further develop online environment, it is important to understand how students perceive working and learning online. The aim of this study is to identify aspects influencing students’ learning processes and their adaptation to self-directed learning online. Methods: Thirty-four physiotherapy students with a mean age of 25 years (range, 21 to 34 years) participated. Qualitative content analysis and triangulation was used when investigating the students’ self-reflections, written during a five week self-directed, problem-oriented online course. Results: Two categories emerged: ‘the influence of the structured framework’ and ‘communication and interaction with teachers and peers.’ The learning processes were influenced by external factors, e.g., a clear structure including a transparent alignment of assignments and assessment. Important challenges to over-come were primarily internal factors, e.g., low self-efficacy, difficulties to plan the work effectively and adapting to a new environment. Conclusion: The analyses reflected important perspectives targeting areas which enable further course development. The influences of external and internal factors on learning strategies and self-efficacy are important aspects to consider when designing online courses. Factors such as pedagogical design, clarity of purpose, goals, and guidelines were important as well as continuous opportunities for communication and collaboration. Further studies are needed to understand and scaffold the motivational factors among students with low self-efficacy. PMID:26101401

Online Multi-Modal Robust Non-Negative Dictionary Learning for Visual Tracking

PubMed Central

Zhang, Xiang; Guan, Naiyang; Tao, Dacheng; Qiu, Xiaogang; Luo, Zhigang

2015-01-01

Dictionary learning is a method of acquiring a collection of atoms for subsequent signal representation. Due to its excellent representation ability, dictionary learning has been widely applied in multimedia and computer vision. However, conventional dictionary learning algorithms fail to deal with multi-modal datasets. In this paper, we propose an online multi-modal robust non-negative dictionary learning (OMRNDL) algorithm to overcome this deficiency. Notably, OMRNDL casts visual tracking as a dictionary learning problem under the particle filter framework and captures the intrinsic knowledge about the target from multiple visual modalities, e.g., pixel intensity and texture information. To this end, OMRNDL adaptively learns an individual dictionary, i.e., template, for each modality from available frames, and then represents new particles over all the learned dictionaries by minimizing the fitting loss of data based on M-estimation. The resultant representation coefficient can be viewed as the common semantic representation of particles across multiple modalities, and can be utilized to track the target. OMRNDL incrementally learns the dictionary and the coefficient of each particle by using multiplicative update rules to respectively guarantee their non-negativity constraints. Experimental results on a popular challenging video benchmark validate the effectiveness of OMRNDL for visual tracking in both quantity and quality. PMID:25961715

Online multi-modal robust non-negative dictionary learning for visual tracking.

PubMed

Zhang, Xiang; Guan, Naiyang; Tao, Dacheng; Qiu, Xiaogang; Luo, Zhigang

2015-01-01

Dictionary learning is a method of acquiring a collection of atoms for subsequent signal representation. Due to its excellent representation ability, dictionary learning has been widely applied in multimedia and computer vision. However, conventional dictionary learning algorithms fail to deal with multi-modal datasets. In this paper, we propose an online multi-modal robust non-negative dictionary learning (OMRNDL) algorithm to overcome this deficiency. Notably, OMRNDL casts visual tracking as a dictionary learning problem under the particle filter framework and captures the intrinsic knowledge about the target from multiple visual modalities, e.g., pixel intensity and texture information. To this end, OMRNDL adaptively learns an individual dictionary, i.e., template, for each modality from available frames, and then represents new particles over all the learned dictionaries by minimizing the fitting loss of data based on M-estimation. The resultant representation coefficient can be viewed as the common semantic representation of particles across multiple modalities, and can be utilized to track the target. OMRNDL incrementally learns the dictionary and the coefficient of each particle by using multiplicative update rules to respectively guarantee their non-negativity constraints. Experimental results on a popular challenging video benchmark validate the effectiveness of OMRNDL for visual tracking in both quantity and quality.

Scaffolding Online Argumentation during Problem Solving

ERIC Educational Resources Information Center

Oh, S.; Jonassen, D. H.

2007-01-01

In this study, constraint-based argumentation scaffolding was proposed to facilitate online argumentation performance and ill-structured problem solving during online discussions. In addition, epistemological beliefs were presumed to play a role in solving ill-structured diagnosis-solution problems. Constraint-based discussion boards were…

New Definitions for New Higher Education Institutions

ERIC Educational Resources Information Center

Meyer, Katrina A.

2009-01-01

New terms were exploding early in the development of distance learning and virtual universities. Distance learning, online learning, e-learning, and distributed learning were applied to the various new forms of learning using online or Web-based materials and processes. However, largely thanks to the immediate popularity of the Western Governors'…

A Model for Student Adoption of Online Interactivity

ERIC Educational Resources Information Center

Karamanos, Neophytos; Gibbs, Paul

2012-01-01

Acknowledging the general difficulty of new e-learning pedagogical approaches in achieving wide acceptance and use, the study described in this article examines a class of MBA students' adoption of a proposed online interactive learning environment. To this end, a web-based, case-based constructivist learning environment was developed, embedding…

Geometry-based ensembles: toward a structural characterization of the classification boundary.

PubMed

Pujol, Oriol; Masip, David

2009-06-01

This paper introduces a novel binary discriminative learning technique based on the approximation of the nonlinear decision boundary by a piecewise linear smooth additive model. The decision border is geometrically defined by means of the characterizing boundary points-points that belong to the optimal boundary under a certain notion of robustness. Based on these points, a set of locally robust linear classifiers is defined and assembled by means of a Tikhonov regularized optimization procedure in an additive model to create a final lambda-smooth decision rule. As a result, a very simple and robust classifier with a strong geometrical meaning and nonlinear behavior is obtained. The simplicity of the method allows its extension to cope with some of today's machine learning challenges, such as online learning, large-scale learning or parallelization, with linear computational complexity. We validate our approach on the UCI database, comparing with several state-of-the-art classification techniques. Finally, we apply our technique in online and large-scale scenarios and in six real-life computer vision and pattern recognition problems: gender recognition based on face images, intravascular ultrasound tissue classification, speed traffic sign detection, Chagas' disease myocardial damage severity detection, old musical scores clef classification, and action recognition using 3D accelerometer data from a wearable device. The results are promising and this paper opens a line of research that deserves further attention.

An on-line modified least-mean-square algorithm for training neurofuzzy controllers.

PubMed

Tan, Woei Wan

2007-04-01

The problem hindering the use of data-driven modelling methods for training controllers on-line is the lack of control over the amount by which the plant is excited. As the operating schedule determines the information available on-line, the knowledge of the process may degrade if the setpoint remains constant for an extended period. This paper proposes an identification algorithm that alleviates "learning interference" by incorporating fuzzy theory into the normalized least-mean-square update rule. The ability of the proposed methodology to achieve faster learning is examined by employing the algorithm to train a neurofuzzy feedforward controller for controlling a liquid level process. Since the proposed identification strategy has similarities with the normalized least-mean-square update rule and the recursive least-square estimator, the on-line learning rates of these algorithms are also compared.

Exploring Quality Teaching in the Online Environment Using an Evidence-Based Approach

ERIC Educational Resources Information Center

Prieto-Rodriguez, Elena; Gore, Jennifer; Holmes, Kathryn

2016-01-01

Online learning is increasingly ubiquitous in higher education. However, research regarding online teaching often focuses on the affordances of the online environment rather than on the quality of pedagogy. In this paper we consider how online learning could be enhanced using rich pedagogical models that are consistent with a wealth of existing…

The Association between Motivation, Affect, and Self-regulated Learning When Solving Problems.

PubMed

Baars, Martine; Wijnia, Lisette; Paas, Fred

2017-01-01

Self-regulated learning (SRL) skills are essential for learning during school years, particularly in complex problem-solving domains, such as biology and math. Although a lot of studies have focused on the cognitive resources that are needed for learning to solve problems in a self-regulated way, affective and motivational resources have received much less research attention. The current study investigated the relation between affect (i.e., Positive Affect and Negative Affect Scale), motivation (i.e., autonomous and controlled motivation), mental effort, SRL skills, and problem-solving performance when learning to solve biology problems in a self-regulated online learning environment. In the learning phase, secondary education students studied video-modeling examples of how to solve hereditary problems, solved hereditary problems which they chose themselves from a set of problems with different complexity levels (i.e., five levels). In the posttest, students solved hereditary problems, self-assessed their performance, and chose a next problem from the set of problems but did not solve these problems. The results from this study showed that negative affect, inaccurate self-assessments during the posttest, and higher perceptions of mental effort during the posttest were negatively associated with problem-solving performance after learning in a self-regulated way.

Teachers' Concerns about Adopting Constructivist Online Game-Based Learning in Formal Curriculum Teaching: The VISOLE Experience

ERIC Educational Resources Information Center

Jong, Morris S. Y.

2016-01-01

Our work is set against the backdrop of the pervasive discussion of harnessing online games to provide students with new constructivist learning opportunities. Upon the theoretical foundation, we have developed Virtual Interactive Student-Oriented Learning Environment (VISOLE), a teaching framework for implementing constructivist online game-based…

The Use of a Well-Designed Instructional Guideline in Online MBA Teaching

ERIC Educational Resources Information Center

Duesing, Robert J.; Ling, Juan; Yang, Jiaqin

2016-01-01

This study investigated the positive impact of a teaching practice on student learning outcomes in an online MBA program. An instructional project guideline was developed to help online students enhance their achieving required learning objectives corresponding to five categories of Bloom's Taxonomy. The course learning objectives are based on…

Imagining Flipped Workshops: Considerations for Designing Online Modules for Social Justice Education Workshops

ERIC Educational Resources Information Center

Tharp, D. Scott

2017-01-01

Online learning, defined as the use of Web-based technology to facilitate some or all learning experiences, continues to interest many universities. While technology shapes the landscape of higher education, questions remain regarding the ability and appropriateness of online learning spaces for social justice education (Dominique, 2016). This…

An Online Learning Community for Beginning In-Service Teachers

ERIC Educational Resources Information Center

Taranto, Gregory A.

2011-01-01

The purpose of this study was to design, implement, and evaluate the effectiveness of incorporating an online learning community as part of a comprehensive new teacher induction program. First, the researcher created an online learning community model based on the results of a comprehensive review of literature and from the previous year's…

[Construction and Application of Innovative Education Technology Strategies in Nursing].

PubMed

Chao, Li-Fen; Huang, Hsiang-Ping; Ni, Lee-Fen; Tsai, Chia-Lan; Huang, Tsuey-Yuan

2017-12-01

The evolution of information and communication technologies has deeply impacted education reform, promoted the development of digital-learning models, and stimulated the development of diverse nursing education strategies in order to better fulfill needs and expand in new directions. The present paper introduces the intelligent-learning resources that are available for basic medical science education, problem-based learning, nursing scenario-based learning, objective structured clinical examinations, and other similar activities in the Department of Nursing at Chang Gung University of Science and Technology. The program is offered in two parts: specialized classroom facilities and cloud computing / mobile-learning. The latter includes high-fidelity simulation classrooms, online e-books, and virtual interactive simulation and augmented reality mobile-learning materials, which are provided through multimedia technology development, learning management systems, web-certificated examinations, and automated teaching and learning feedback mechanisms. It is expected that the teaching experiences that are shared in this article may be used as a reference for applying professional wisdom teaching models into nursing education.

Conceptualising Online Knowledge Sharing: What Teachers' Perceptions Can Tell Us

ERIC Educational Resources Information Center

Hood, Nina

2017-01-01

This study questions the current dependence on theories of social learning and communities of practice in research on teachers' online learning and online knowledge-sharing behaviour. It employs the interpretative approach to examine how teachers conceptualise their engagement with two USA-based online knowledge-sharing platforms within the…

Real-time image annotation by manifold-based biased Fisher discriminant analysis

NASA Astrophysics Data System (ADS)

Ji, Rongrong; Yao, Hongxun; Wang, Jicheng; Sun, Xiaoshuai; Liu, Xianming

2008-01-01

Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval. However, two crucial issues are not well addressed in state-of-art annotation algorithms: 1. The Small Sample Size (3S) problem in keyword classifier/model learning; 2. Most of annotation algorithms can not extend to real-time online usage due to their low computational efficiencies. This paper presents a novel Manifold-based Biased Fisher Discriminant Analysis (MBFDA) algorithm to address these two issues by transductive semantic learning and keyword filtering. To address the 3S problem, Co-Training based Manifold learning is adopted for keyword model construction. To achieve real-time annotation, a Bias Fisher Discriminant Analysis (BFDA) based semantic feature reduction algorithm is presented for keyword confidence discrimination and semantic feature reduction. Different from all existing annotation methods, MBFDA views image annotation from a novel Eigen semantic feature (which corresponds to keywords) selection aspect. As demonstrated in experiments, our manifold-based biased Fisher discriminant analysis annotation algorithm outperforms classical and state-of-art annotation methods (1.K-NN Expansion; 2.One-to-All SVM; 3.PWC-SVM) in both computational time and annotation accuracy with a large margin.

A novel model of motor learning capable of developing an optimal movement control law online from scratch.

PubMed

Shimansky, Yury P; Kang, Tao; He, Jiping

2004-02-01

A computational model of a learning system (LS) is described that acquires knowledge and skill necessary for optimal control of a multisegmental limb dynamics (controlled object or CO), starting from "knowing" only the dimensionality of the object's state space. It is based on an optimal control problem setup different from that of reinforcement learning. The LS solves the optimal control problem online while practicing the manipulation of CO. The system's functional architecture comprises several adaptive components, each of which incorporates a number of mapping functions approximated based on artificial neural nets. Besides the internal model of the CO's dynamics and adaptive controller that computes the control law, the LS includes a new type of internal model, the minimal cost (IM(mc)) of moving the controlled object between a pair of states. That internal model appears critical for the LS's capacity to develop an optimal movement trajectory. The IM(mc) interacts with the adaptive controller in a cooperative manner. The controller provides an initial approximation of an optimal control action, which is further optimized in real time based on the IM(mc). The IM(mc) in turn provides information for updating the controller. The LS's performance was tested on the task of center-out reaching to eight randomly selected targets with a 2DOF limb model. The LS reached an optimal level of performance in a few tens of trials. It also quickly adapted to movement perturbations produced by two different types of external force field. The results suggest that the proposed design of a self-optimized control system can serve as a basis for the modeling of motor learning that includes the formation and adaptive modification of the plan of a goal-directed movement.

Developing and Implementing a New Online Bachelor Program: Formal Adoption of Videoconferencing and Social Networking as a Step towards M-Learning

ERIC Educational Resources Information Center

van Oostveen, Roland; Desjardins, François

2013-01-01

The political will to move educational opportunities online is growing for numerous reasons and new mobile technologies are being adopted at unprecedented rates. Such a context presents opportunities to develop online programs and experiments in universities, with new affordances to solve old problems such as access and isolation. This paper…

Analysis of Time-on-Task, Behavior Experiences, and Performance in Two Online Courses with Different Authentic Learning Tasks

ERIC Educational Resources Information Center

Park, Sanghoon

2017-01-01

This paper reports the findings of a comparative analysis of online learner behavioral interactions, time-on-task, attendance, and performance at different points throughout a semester (beginning, during, and end) based on two online courses: one course offering authentic discussion-based learning activities and the other course offering authentic…

An Online Task-Based Language Learning Environment: Is It Better for Advanced- or Intermediate-Level Second Language Learners?

ERIC Educational Resources Information Center

Arslanyilmaz, Abdurrahman

2012-01-01

This study investigates the relationship of language proficiency to language production and negotiation of meaning that non-native speakers (NNSs) produced in an online task-based language learning (TBLL) environment. Fourteen NNS-NNS dyads collaboratively completed four communicative tasks, using an online TBLL environment specifically designed…

The Brains behind Brain-Based Research: The Tale of Two Postsecondary Online Learners

ERIC Educational Resources Information Center

McGuckin, Dawn; Ladhani, Mubeen

2010-01-01

This paper is written from the perspective of two postsecondary students who realized the implications for brain-based learning in the online environment. This paper explores the relationship between online learning in regards to how the brain generates meaning and understanding, the role of emotions, the collaborative construction of knowledge,…

Habitable Worlds: Delivering on the Promises of Online Education.

PubMed

Horodyskyj, Lev B; Mead, Chris; Belinson, Zack; Buxner, Sanlyn; Semken, Steven; Anbar, Ariel D

2018-01-01

Critical thinking and scientific reasoning are central to higher education in the United States, but many courses (in-person and online) teach students information about science much more than they teach the actual process of science and its associated knowledge and skills. In the online arena specifically, the tools available for course construction exacerbate this problem by making it difficult to build the types of active learning activities that research shows to be the most effective. Here, we present a report on Habitable Worlds, offered by Arizona State University for 12 semesters over the past 6 years. This is a unique online course that uses an array of novel technologies to deliver an active, inquiry-driven learning experience. Learning outcomes and quantitative data from more than 3000 students demonstrate the success of our approach but also identify several remaining challenges. The design and development of this course offers valuable lessons for instructional designers and educators who are interested in fully capitalizing on the capabilities of 21 st -century technology to achieve educational goals. Key Words: Online education-Active learning-SETI-Astrobiology-Teaching. Astrobiology 17, 86-99.

Reinforcement learning for resource allocation in LEO satellite networks.

PubMed

Usaha, Wipawee; Barria, Javier A

2007-06-01

In this paper, we develop and assess online decision-making algorithms for call admission and routing for low Earth orbit (LEO) satellite networks. It has been shown in a recent paper that, in a LEO satellite system, a semi-Markov decision process formulation of the call admission and routing problem can achieve better performance in terms of an average revenue function than existing routing methods. However, the conventional dynamic programming (DP) numerical solution becomes prohibited as the problem size increases. In this paper, two solution methods based on reinforcement learning (RL) are proposed in order to circumvent the computational burden of DP. The first method is based on an actor-critic method with temporal-difference (TD) learning. The second method is based on a critic-only method, called optimistic TD learning. The algorithms enhance performance in terms of requirements in storage, computational complexity and computational time, and in terms of an overall long-term average revenue function that penalizes blocked calls. Numerical studies are carried out, and the results obtained show that the RL framework can achieve up to 56% higher average revenue over existing routing methods used in LEO satellite networks with reasonable storage and computational requirements.

Information Problem-Solving Skills in Small Virtual Groups and Learning Outcomes

ERIC Educational Resources Information Center

Garcia, Consuelo; Badia, Antoni

2017-01-01

This study investigated the frequency of use of information problem-solving (IPS) skills and its relationship with learning outcomes. During the course of the study, 40 teachers carried out a collaborative IPS task in small virtual groups in a 4-week online training course. The status of IPS skills was collected through self-reports handed in over…

An Approach to V&V of Embedded Adaptive Systems

NASA Technical Reports Server (NTRS)

Liu, Yan; Yerramalla, Sampath; Fuller, Edgar; Cukic, Bojan; Gururajan, Srikaruth

2004-01-01

Rigorous Verification and Validation (V&V) techniques are essential for high assurance systems. Lately, the performance of some of these systems is enhanced by embedded adaptive components in order to cope with environmental changes. Although the ability of adapting is appealing, it actually poses a problem in terms of V&V. Since uncertainties induced by environmental changes have a significant impact on system behavior, the applicability of conventional V&V techniques is limited. In safety-critical applications such as flight control system, the mechanisms of change must be observed, diagnosed, accommodated and well understood prior to deployment. In this paper, we propose a non-conventional V&V approach suitable for online adaptive systems. We apply our approach to an intelligent flight control system that employs a particular type of Neural Networks (NN) as the adaptive learning paradigm. Presented methodology consists of a novelty detection technique and online stability monitoring tools. The novelty detection technique is based on Support Vector Data Description that detects novel (abnormal) data patterns. The Online Stability Monitoring tools based on Lyapunov's Stability Theory detect unstable learning behavior in neural networks. Cases studies based on a high fidelity simulator of NASA's Intelligent Flight Control System demonstrate a successful application of the presented V&V methodology. ,

Global Perspectives on E-Learning: Rhetoric and Reality

ERIC Educational Resources Information Center

Carr-Chellman, Alison A., Ed.

2004-01-01

"Global Perspectives on E-Learning: Rhetoric and Reality" presents several cases of international online education and the rhetoric that surrounds this form of teaching and learning. Written from a critical perspective, the book investigates some of the problems faced by international distance educators. It particularly focuses on who…

Design and Effects of a Concept Focused Discussion Environment in E-Learning

ERIC Educational Resources Information Center

Yilmaz, Erdi Okan; Yurdugul, Halil

2016-01-01

Problem Statement: Within the frame of learning management systems, this study develops a concept focused discussion environment and validates the effectiveness of this environment's use through an experimental study. Purpose of the Study: Online discussion forums, which are commonly used in learning management systems (LMS), can negatively…

Leveraging Random Number Generation for Mastery of Learning in Teaching Quantitative Research Courses via an E-Learning Method

ERIC Educational Resources Information Center

Boonsathorn, Wasita; Charoen, Danuvasin; Dryver, Arthur L.

2014-01-01

E-Learning brings access to a powerful but often overlooked teaching tool: random number generation. Using random number generation, a practically infinite number of quantitative problem-solution sets can be created. In addition, within the e-learning context, in the spirit of the mastery of learning, it is possible to assign online quantitative…

Wireless Sensor Network Congestion Control Based on Standard Particle Swarm Optimization and Single Neuron PID

PubMed Central

Yang, Xiaoping; Chen, Xueying; Xia, Riting; Qian, Zhihong

2018-01-01

Aiming at the problem of network congestion caused by the large number of data transmissions in wireless routing nodes of wireless sensor network (WSN), this paper puts forward an algorithm based on standard particle swarm–neural PID congestion control (PNPID). Firstly, PID control theory was applied to the queue management of wireless sensor nodes. Then, the self-learning and self-organizing ability of neurons was used to achieve online adjustment of weights to adjust the proportion, integral and differential parameters of the PID controller. Finally, the standard particle swarm optimization to neural PID (NPID) algorithm of initial values of proportion, integral and differential parameters and neuron learning rates were used for online optimization. This paper describes experiments and simulations which show that the PNPID algorithm effectively stabilized queue length near the expected value. At the same time, network performance, such as throughput and packet loss rate, was greatly improved, which alleviated network congestion and improved network QoS. PMID:29671822

Wireless Sensor Network Congestion Control Based on Standard Particle Swarm Optimization and Single Neuron PID.

PubMed

Yang, Xiaoping; Chen, Xueying; Xia, Riting; Qian, Zhihong

2018-04-19

Aiming at the problem of network congestion caused by the large number of data transmissions in wireless routing nodes of wireless sensor network (WSN), this paper puts forward an algorithm based on standard particle swarm⁻neural PID congestion control (PNPID). Firstly, PID control theory was applied to the queue management of wireless sensor nodes. Then, the self-learning and self-organizing ability of neurons was used to achieve online adjustment of weights to adjust the proportion, integral and differential parameters of the PID controller. Finally, the standard particle swarm optimization to neural PID (NPID) algorithm of initial values of proportion, integral and differential parameters and neuron learning rates were used for online optimization. This paper describes experiments and simulations which show that the PNPID algorithm effectively stabilized queue length near the expected value. At the same time, network performance, such as throughput and packet loss rate, was greatly improved, which alleviated network congestion and improved network QoS.

Distance Learning 2.0: It Will Take a Village

ERIC Educational Resources Information Center

Halfond, Jay A.

2011-01-01

Institutional resistance to online learning has been melting away during these recessionary times, as schools seek ways to address enrollment pressures without increasing faculty or classrooms. But the test for online learning should be based as much on learning efficacy as financial efficiency. Seeking comparability in learning outcomes should be…

Comparing Modes of Delivery: Classroom and On-Line (and Other) Learning.

ERIC Educational Resources Information Center

deLeon, Linda; Killian, Jerri

2000-01-01

Moving beyond question of whether on-line education is beneficial or harmful, explores conditions under which one or another of six instructional methods lecture, collaborative learning, experiential learning, learning contracts, televised courses, and Web-based learning work best. Finds specific methods more appropriate for some subject matters,…

On the Bus and Online: Instantiating an Interactive Learning Environment through Design-Based Research

ERIC Educational Resources Information Center

Kartoglu, Ümit; Vesper, James L.; Reeves, Thomas C.

2017-01-01

The World Health Organization converted an award-winning experiential learning course that takes place on a bus traveling down the "cold chain" for time- and temperature-sensitive pharmaceutical products in Turkey to an online interactive learning environment through design-based research. Similarities and differences in the objectives…

Autonomous Learning through Task-Based Instruction in Fully Online Language Courses

ERIC Educational Resources Information Center

Lee, Lina

2016-01-01

This study investigated the affordances for autonomous learning in a fully online learning environment involving the implementation of task-based instruction in conjunction with Web 2.0 technologies. To that end, four-skill-integrated tasks and digital tools were incorporated into the coursework. Data were collected using midterm reflections,…

Impeding Phenomena Emerging from Students' Constructivist Online Game-Based Learning Process: Implications for the Importance of Teacher Facilitation

ERIC Educational Resources Information Center

Jong, Morris Siu-yung; Shang, Junjie

2015-01-01

"Virtual Interactive Student-Oriented Learning Environment" ("VISOLE") is a pedagogical approach to integrating constructivist online game-based learning (COGBLe) into formal teaching in school education. This paper reports a qualitative case study on the implementation of VISOLE (in secondary Geography education) in which we…

Online Learning Tools for Middle School Science: Lessons Learned from a Design-Based Research Project

ERIC Educational Resources Information Center

Terrazas-Arellanes, Fatima E.; Knox, Carolyn; Strycker, Lisa A.; Walden, Emily D.

2017-01-01

This article reports on how design-based research methodology was used to guide a line of intervention research that developed, implemented, revised, and evaluated online learning science curricula for middle school students, including general education students and English language learners (primarily of Hispanic origin). The iterative,…

Nonlinear dynamic model for visual object tracking on Grassmann manifolds with partial occlusion handling.

PubMed

Khan, Zulfiqar Hasan; Gu, Irene Yu-Hua

2013-12-01

This paper proposes a novel Bayesian online learning and tracking scheme for video objects on Grassmann manifolds. Although manifold visual object tracking is promising, large and fast nonplanar (or out-of-plane) pose changes and long-term partial occlusions of deformable objects in video remain a challenge that limits the tracking performance. The proposed method tackles these problems with the main novelties on: 1) online estimation of object appearances on Grassmann manifolds; 2) optimal criterion-based occlusion handling for online updating of object appearances; 3) a nonlinear dynamic model for both the appearance basis matrix and its velocity; and 4) Bayesian formulations, separately for the tracking process and the online learning process, that are realized by employing two particle filters: one is on the manifold for generating appearance particles and another on the linear space for generating affine box particles. Tracking and online updating are performed in an alternating fashion to mitigate the tracking drift. Experiments using the proposed tracker on videos captured by a single dynamic/static camera have shown robust tracking performance, particularly for scenarios when target objects contain significant nonplanar pose changes and long-term partial occlusions. Comparisons with eight existing state-of-the-art/most relevant manifold/nonmanifold trackers with evaluations have provided further support to the proposed scheme.

Analysis of Students' Online Learning Readiness Based on Their Emotional Intelligence Level

ERIC Educational Resources Information Center

Engin, Melih

2017-01-01

The objective of the present study is to determine whether there is a significant relationship between the students' readiness in online learning and their emotional intelligence levels. Correlational research method was used in the study. Online Learning Readiness Scale which was developed by Hung et al. (2010) has been used and Trait Emotional…

Global Contexts for Learning: Exploring the Relationship between Low-Context Online Learning and High-Context Learners

ERIC Educational Resources Information Center

Westbrook, Timothy Paul

2014-01-01

Current research on culture and distance education suggests that cultural variables influence student success online. When online courses are writing-based, they may provide easy information dissemination; however, the low-context medium may restrict the learning experience and class dynamic due to the lack of nonverbal communication. Students who…

An Authentic Online Community of Learning Framework for Higher Education: Development Process

ERIC Educational Resources Information Center

Parker, Jenni

2017-01-01

A key challenge for higher education practitioners is to identify how to construct more engaging online environments that promote key learning skills and encourage self-directed learning. This paper discusses a study that investigated how online university courses could be designed to be more engaging. The study employed a design-based research…

Strategies for Effective Faculty Involvement in Online Activities Aimed at Promoting Critical Thinking and Deep Learning

ERIC Educational Resources Information Center

Abdul Razzak, Nina

2016-01-01

Highly-traditional education systems that mainly offer what is known as "direct instruction" usually result in graduates with a surface approach to learning rather than a deep one. What is meant by deep-learning is learning that involves critical analysis, the linking of ideas and concepts, creative problem solving, and application…

Facilitating Students' Learning with Hybrid Instruction: A Comparison among Four Learning Styles

ERIC Educational Resources Information Center

Wichadee, Saovapa

2013-01-01

Introduction: Since a part of the instruction happens online, a hybrid course has usually been used to solve the problems of space and time. This article explores how students' learning styles influence their learning and satisfaction when certain format of a hybrid course is implemented. Methods: Participants were 122 first-year students at a…

A Distributed System for Learning Programming On-Line

ERIC Educational Resources Information Center

Verdu, Elena; Regueras, Luisa M.; Verdu, Maria J.; Leal, Jose P.; de Castro, Juan P.; Queiros, Ricardo

2012-01-01

Several Web-based on-line judges or on-line programming trainers have been developed in order to allow students to train their programming skills. However, their pedagogical functionalities in the learning of programming have not been clearly defined. EduJudge is a project which aims to integrate the "UVA On-line Judge", an existing…

Social Networking Sites and Addiction: Ten Lessons Learned

PubMed Central

Kuss, Daria J.; Griffiths, Mark D.

2017-01-01

Online social networking sites (SNSs) have gained increasing popularity in the last decade, with individuals engaging in SNSs to connect with others who share similar interests. The perceived need to be online may result in compulsive use of SNSs, which in extreme cases may result in symptoms and consequences traditionally associated with substance-related addictions. In order to present new insights into online social networking and addiction, in this paper, 10 lessons learned concerning online social networking sites and addiction based on the insights derived from recent empirical research will be presented. These are: (i) social networking and social media use are not the same; (ii) social networking is eclectic; (iii) social networking is a way of being; (iv) individuals can become addicted to using social networking sites; (v) Facebook addiction is only one example of SNS addiction; (vi) fear of missing out (FOMO) may be part of SNS addiction; (vii) smartphone addiction may be part of SNS addiction; (viii) nomophobia may be part of SNS addiction; (ix) there are sociodemographic differences in SNS addiction; and (x) there are methodological problems with research to date. These are discussed in turn. Recommendations for research and clinical applications are provided. PMID:28304359

Social Networking Sites and Addiction: Ten Lessons Learned.

PubMed

Kuss, Daria J; Griffiths, Mark D

2017-03-17

Online social networking sites (SNSs) have gained increasing popularity in the last decade, with individuals engaging in SNSs to connect with others who share similar interests. The perceived need to be online may result in compulsive use of SNSs, which in extreme cases may result in symptoms and consequences traditionally associated with substance-related addictions. In order to present new insights into online social networking and addiction, in this paper, 10 lessons learned concerning online social networking sites and addiction based on the insights derived from recent empirical research will be presented. These are: (i) social networking and social media use are not the same; (ii) social networking is eclectic; (iii) social networking is a way of being; (iv) individuals can become addicted to using social networking sites; (v) Facebook addiction is only one example of SNS addiction; (vi) fear of missing out (FOMO) may be part of SNS addiction; (vii) smartphone addiction may be part of SNS addiction; (viii) nomophobia may be part of SNS addiction; (ix) there are sociodemographic differences in SNS addiction; and (x) there are methodological problems with research to date. These are discussed in turn. Recommendations for research and clinical applications are provided.

The integration of an online module on student learning.

PubMed

Yehle, Karen S; Chang, Karen

2012-11-01

Heart failure is a prevalent and costly condition. Patients with better self-management are less likely to be rehospitalized. An online interactive heart failure module was developed and integrated into a medical-surgical nursing course to assist students in learning how to care for patients with heart failure. The purpose of this study was to examine whether the integration of an online heart failure module improved baccalaureate nursing students' heart failure self-management knowledge. A pretest/posttest design was used to examine the effects of student knowledge of heart failure self-management following implementation of an online module. Among 235 students, significant improvement of heart failure self-management knowledge was observed (P < .05). The mean posttest scores ranged from 13.82 to 15.93. Students had problems mastering knowledge of weight monitoring, use of nonsteroidal anti-inflammatory drugs, symptoms to report to physicians, and potassium-based salt substitutes. These findings were similar to four studies examining nurses' knowledge of heart failure. Students and nurses have difficulty mastering similar heart failure education concepts. An additional strategy, such as simulated or case scenarios, needs to be developed to help nurses and nursing students master all key concepts of heart failure self-management.

Discovering online learning barriers: survey of health educational stakeholders in dentistry.

PubMed

Schönwetter, D; Reynolds, P

2013-02-01

Given the exponential explosion of online learning tools and the challenge to harness their influence in dental education, there is a need to determine the current status of online learning tools being adopted at dental schools, the barriers that thwart the potential of adopting these and to capture this information from each of the various stakeholders involved in dental online learning (administrators, instructors, students and software/hardware technicians). The aims of this exploratory study are threefold: first, to understand which online learning tools are currently being adopted at dental schools; second, to determine the barriers in adopting online learning in dental education; and third, to identify a way of better preparing stakeholders in their quest to encourage others at their institutions to adopt online learning tools. Seventy-two participants representing eight countries and 13 stakeholder groups in dentistry were invited to complete the online Survey of Barriers in Online Learning Education in Health Professional Schools. The survey was created for this study but generic to all healthcare education domains. Twenty participants completed the survey. demonstrated that many online learning tools are being successfully adopted at dental schools, but computer-based assessment tools are the least successful. Added to this are challenges of support and resources for online learning tools. Participants offered suggestions of creating a blended (online and face-to-face) tutorial aimed at assisting stakeholders to help their dental schools in adopting online learning tools The information from this study is essential in helping us to better prepare the next generation of dental providers in terms of adopting online learning tools. This paper will not only provide strategies of how best to proceed, but also inspire participants with the necessary tools to move forward as they assist their clients with adopting and sustaining online learning tools and models. © 2012 John Wiley & Sons A/S.

Effects of Prompting in Reflective Learning Tools: Findings from Experimental Field, Lab, and Online Studies.

PubMed

Renner, Bettina; Prilla, Michael; Cress, Ulrike; Kimmerle, Joachim

2016-01-01

Reflective learning is an important type of learning both in formal and informal situations-in school, higher education, at the workplace, and in everyday life. People may benefit from technical support for reflective learning, in particular when supporting each other by reflecting not only upon their own but also upon other people's problems. We refer to this collective approach where people come together to think about experiences and find solutions to problems as "collaborative reflection." We present three empirical studies about the effects of prompting in reflective learning tools in such situations where people reflect on others' issues. In Study 1 we applied a three-stage within-group design in a field experiment, where 39 participants from two organizations received different types of prompts while they used a reflection app. We found that prompts that invited employees to write down possible solutions led to more comprehensive comments on their colleagues' experiences. In Study 2 we used a three-stage between-group design in a laboratory experiment, where 78 university students were invited to take part in an experiment about the discussion of problems at work or academic studies in online forums. Here we found that short, abstract prompts showed no superiority to a situation without any prompts with respect to quantity or quality of contributions. Finally, Study 3 featured a two-stage between-group design in an online experiment, where 60 participants received either general reflection instructions or detailed instructions about how to reflect on other people's problems. We could show that detailed reflection instructions supported people in producing more comprehensive comments that included more general advice. The results demonstrate that to increase activity and to improve quality of comments with prompting tools require detailed instructions and specific wording of the prompts.

Learning from Simple Ebooks, Online Cases or Classroom Teaching When Acquiring Complex Knowledge. A Randomized Controlled Trial in Respiratory Physiology and Pulmonology

PubMed Central

Worm, Bjarne Skjødt

2013-01-01

Background and Aims E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. Methods 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. Results For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01). The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001), while the eCase group spent significantly more time on the subject (53 minutes, p<0.001) and logged into the system significantly more (2.8 vs 1.6, p<0.001). Conclusions E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method. PMID:24039917

Learning from simple ebooks, online cases or classroom teaching when acquiring complex knowledge. A randomized controlled trial in respiratory physiology and pulmonology.

PubMed

Worm, Bjarne Skjødt

2013-01-01

E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01). The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001), while the eCase group spent significantly more time on the subject (53 minutes, p<0.001) and logged into the system significantly more (2.8 vs 1.6, p<0.001). E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method.

The relationship between mathematical problem-solving skills and self-regulated learning through homework behaviours, motivation, and metacognition

NASA Astrophysics Data System (ADS)

Çiğdem Özcan, Zeynep

2016-04-01

Studies highlight that using appropriate strategies during problem solving is important to improve problem-solving skills and draw attention to the fact that using these skills is an important part of students' self-regulated learning ability. Studies on this matter view the self-regulated learning ability as key to improving problem-solving skills. The aim of this study is to investigate the relationship between mathematical problem-solving skills and the three dimensions of self-regulated learning (motivation, metacognition, and behaviour), and whether this relationship is of a predictive nature. The sample of this study consists of 323 students from two public secondary schools in Istanbul. In this study, the mathematics homework behaviour scale was administered to measure students' homework behaviours. For metacognition measurements, the mathematics metacognition skills test for students was administered to measure offline mathematical metacognitive skills, and the metacognitive experience scale was used to measure the online mathematical metacognitive experience. The internal and external motivational scales used in the Programme for International Student Assessment (PISA) test were administered to measure motivation. A hierarchic regression analysis was conducted to determine the relationship between the dependent and independent variables in the study. Based on the findings, a model was formed in which 24% of the total variance in students' mathematical problem-solving skills is explained by the three sub-dimensions of the self-regulated learning model: internal motivation (13%), willingness to do homework (7%), and post-problem retrospective metacognitive experience (4%).

Benefits and Barriers of E-Learning for Staff Training in a Medical University.

PubMed

Franz, Stefan; Behrends, Marianne; Haack, Claudia; Marschollek, Michael

2015-01-01

Learning Management Systems (LMS) are a feasible solution to fulfill the various requirements for e-learning based training in a medical university. Using the LMS ILIAS, the Institute of Diagnostic and Interventional Radiology has designed an e-learning unit about data protection, which has been used by 73% of the department's employees in the first three months. To increase the use of e-learning for staff training, it is necessary to identify barriers and benefits, which encourage the use of e-learning. Therefore, we started an online survey to examine how the employees evaluate this learning opportunity. The results show that 87% of the employees had no technical problems and also competence of Information and Communication Technology (ICT) was no barrier. If anything, reported issues were time shortages and tight schedules. Therefore, short learning modules (less than 20 minutes) are preferred. Furthermore, temporal flexibility for learning is important for 83% of employees.

Design Process for Online Websites Created for Teaching Turkish as a Foreign Language in Web Based Environments

ERIC Educational Resources Information Center

Türker, Fatih Mehmet

2016-01-01

In today's world, where online learning environments have increased their efficiency in education and training, the design of the websites prepared for education and training purposes has become an important process. This study is about the teaching process of the online learning environments created to teach Turkish in web based environments, and…

SBL-Online: Implementing Studio-Based Learning Techniques in an Online Introductory Programming Course to Address Common Programming Errors and Misconceptions

ERIC Educational Resources Information Center

Polo, Blanca J.

2013-01-01

Much research has been done in regards to student programming errors, online education and studio-based learning (SBL) in computer science education. This study furthers this area by bringing together this knowledge and applying it to proactively help students overcome impasses caused by common student programming errors. This project proposes a…

Approximately adaptive neural cooperative control for nonlinear multiagent systems with performance guarantee

NASA Astrophysics Data System (ADS)

Wang, Jing; Yang, Tianyu; Staskevich, Gennady; Abbe, Brian

2017-04-01

This paper studies the cooperative control problem for a class of multiagent dynamical systems with partially unknown nonlinear system dynamics. In particular, the control objective is to solve the state consensus problem for multiagent systems based on the minimisation of certain cost functions for individual agents. Under the assumption that there exist admissible cooperative controls for such class of multiagent systems, the formulated problem is solved through finding the optimal cooperative control using the approximate dynamic programming and reinforcement learning approach. With the aid of neural network parameterisation and online adaptive learning, our method renders a practically implementable approximately adaptive neural cooperative control for multiagent systems. Specifically, based on the Bellman's principle of optimality, the Hamilton-Jacobi-Bellman (HJB) equation for multiagent systems is first derived. We then propose an approximately adaptive policy iteration algorithm for multiagent cooperative control based on neural network approximation of the value functions. The convergence of the proposed algorithm is rigorously proved using the contraction mapping method. The simulation results are included to validate the effectiveness of the proposed algorithm.

Online gaming for learning optimal team strategies in real time

NASA Astrophysics Data System (ADS)

Hudas, Gregory; Lewis, F. L.; Vamvoudakis, K. G.

2010-04-01

This paper first presents an overall view for dynamical decision-making in teams, both cooperative and competitive. Strategies for team decision problems, including optimal control, zero-sum 2-player games (H-infinity control) and so on are normally solved for off-line by solving associated matrix equations such as the Riccati equation. However, using that approach, players cannot change their objectives online in real time without calling for a completely new off-line solution for the new strategies. Therefore, in this paper we give a method for learning optimal team strategies online in real time as team dynamical play unfolds. In the linear quadratic regulator case, for instance, the method learns the Riccati equation solution online without ever solving the Riccati equation. This allows for truly dynamical team decisions where objective functions can change in real time and the system dynamics can be time-varying.

Determinants of Self-Reflective Learning and Its Consequences in Online Master Degree Programs

ERIC Educational Resources Information Center

Neumann, Yoram; Neumann, Edith; Lewis, Shelia

2017-01-01

Based on recent studies of self-reflective learning and its effects on various learning outcomes, this study examined the concept of self-reflective learning in the context of the Robust Learning Model (RLM), which is a learning model designed for improving the educational effectiveness of online degree programs. Two models were introduced to…

Active Learning through Online Instruction

ERIC Educational Resources Information Center

Gulbahar, Yasemin; Kalelioglu, Filiz

2010-01-01

This article explores the use of proper instructional techniques in online discussions that lead to meaningful learning. The research study looks at the effective use of two instructional techniques within online environments, based on qualitative measures. "Brainstorming" and "Six Thinking Hats" were selected and implemented…

Case studies in pathophysiology: The development and evaluation of an interactive online learning environment to develop higher order thinking and argumentation

NASA Astrophysics Data System (ADS)

Titterington, Lynda C.

2007-12-01

This study presents a framework for examining the effects of higher order thinking on the achievement of allied health students enrolled in a pathophysiology course. A series of clinical case studies was developed and published in an enriched online environment that guided students through the process of developing a solution and supporting it through data analysis and interpretation. The series of case study modules scaffolded argumentation through question prompts. The modules began with a simple, direct problem and they became progressively more complex throughout the quarter. A control group was assigned a pencil-and-paper case study based upon recall. The case studies were scored for content accuracy and evidence of higher order thinking skills. Higher order thinking was measured using a rubric based upon the Toulmin argumentation pattern. The results indicated implementing a case study of either online or traditional format was associated with significant gains in achievement. The Web-enhanced case studies were associated with modest gains in knowledge acquisition. The argumentation scores across the series followed two trends: directed case studies were associated with higher levels of argumentation than ill-structured case studies, and there appeared to be an inverse relationship between the students' argumentation and content scores. The protocols developed for this study can serve as a template for a larger, extended investigation into student learning in the online environment.

Impact of Online Flexible Games on Students' Attitude towards Mathematics

ERIC Educational Resources Information Center

Mavridis, Apostolos; Katmada, Aikaterini; Tsiatsos, Thrasyvoulos

2017-01-01

This study examined the effects of using an online flexible educational game on students' attitude towards mathematics as compared to the traditional method of solving mathematical problems. Moreover, the study assessed the learning effectiveness of the game and investigated potential gender differences in the game's effectiveness on changing…

Local Support for Online Learners with Possible Learning Disabilities

ERIC Educational Resources Information Center

Rekkedal, Torstein

2011-01-01

This article reports from a research study concerning online distance study for competence development of vocational rehabilitation clients. The students included in the study are adults with health problems participating in a rehabilitation process to re-enter into working life. As a group the students are characterized by difficulties, problems…

How has problem based learning fared in Pakistan?

PubMed

Mahmud, Waqas; Hyder, Omar

2012-10-01

To conduct a systematic review of primary research in undergraduate medical education in Pakistan in order to evaluate PBL programs, examine outcomes and competencies influenced by PBL, and compare them with conventional learning (lecture based learning, LBL). Qualitative content analysis. Rawalpindi Medical College, Rawalpindi, from June 2010 - February 2011. Literature was searched using online resources. Studies evaluating outcomes influenced by PBL, or comparing PBL with lecture based learning (LBL) were selected. Due to heterogeneity, a qualitative content analysis was performed in which studies were classified according to the methods of assessment; results were then summarized by outcome and frequencies were calculated. Eleven studies were included. Apart from knowledge acquisition, students gave high ratings to PBL in selected outcomes, alone, and in comparison with LBL. There was a disagreement among results of studies that evaluated knowledge acquisition alone. Based on student perceptions, PBL has many advantages. However, the results of this review are limited due to heterogeneity and methodological weakness of studies, specially the studies that compared exam scores to assess knowledge acquisition.

MedEthEx Online: A Computer-based Learning Program in Medical Ethics and Communication Skills.

ERIC Educational Resources Information Center

Fleetwood, Janet; Vaught, Wayne; Feldman, Debra; Gracely, Edward; Kassutto, Zach; Novack, Dennis

2000-01-01

Assessed MedEthEx Online, a computer-based learning program, in improving communication skills as part of a required bioethics course for medical students. Exam scores of users were comparable with non-users, although computerized-learning students scored higher in specific exam areas, felt somewhat more clinically prepared, and rated the course…

Non-Native Chinese Language Learners' Attitudes towards Online Vision-Based Motion Games

ERIC Educational Resources Information Center

Hao, Yungwei; Hong, Jon-Chao; Jong, Jyh-Tsorng; Hwang, Ming-Yueh; Su, Chao-Ya; Yang, Jin-Shin

2010-01-01

Learning to write Chinese characters is often thought to be a very challenging and laborious task. However, new learning tools are being designed that might reduce learners' tedium. This study explores one such tool, an online program in which learners can learn Chinese characters through vision-based motion games. The learner's gestures are…

Personality Traits and Performance in Online Game-Based Learning: Collaborative versus Individual Settings

ERIC Educational Resources Information Center

Lara, Miguel Angel

2013-01-01

Extant research indicates that, in face-to-face settings, cooperative learning and game-based learning strategies can be effective. However, in online settings (e.g., in distance education), there is a paucity of research in this area. This study was designed to investigate performance and attitudes of university students who played an educational…

Adventure Learning: Theory and Implementation of Hybrid Learning

NASA Astrophysics Data System (ADS)

Doering, A.

2008-12-01

Adventure Learning (AL), a hybrid distance education approach, provides students and teachers with the opportunity to learn about authentic curricular content areas while interacting with adventurers, students, and content experts at various locations throughout the world within an online learning environment (Doering, 2006). An AL curriculum and online environment provides collaborative community spaces where traditional hierarchical classroom roles are blurred and learning is transformed. AL has most recently become popular in K-12 classrooms nationally and internationally with millions of students participating online. However, in the literature, the term "adventure learning" many times gets confused with phrases such as "virtual fieldtrip" and activities where someone "exploring" is posting photos and text. This type of "adventure learning" is not "Adventure Learning" (AL), but merely a slideshow of their activities. The learning environment may not have any curricular and/or social goals, and if it does, the environment design many times does not support these objectives. AL, on the other hand, is designed so that both teachers and students understand that their online and curriculum activities are in synch and supportive of the curricular goals. In AL environments, there are no disparate activities as the design considers the educational, social, and technological affordances (Kirschner, Strijbos, Kreijns, & Beers, 2004); in other words, the artifacts of the learning environment encourage and support the instructional goals, social interactions, collaborative efforts, and ultimately learning. AL is grounded in two major theoretical approaches to learning - experiential and inquiry-based learning. As Kolb (1984) noted, in experiential learning, a learner creates meaning from direct experiences and reflections. Such is the goal of AL within the classroom. Additionally, AL affords learners a real-time authentic online learning experience concurrently as they study the AL curriculum. AL is also grounded in an inquiry- based approach to learning where learners are pursuing answers to questions they have posed rather than focusing on memorizing and regurgitating isolated, irrelevant facts. Both the curriculum and the online classroom are developed to foster students' abilities to inquire via "identifying and posing questions, designing and conducting investigations, analyzing data and evidence, using models and explanations, and communicating findings" (Keys and Bryan, 2001, p 121). The union of experiential and inquiry-based learning is the foundation of AL, guiding and supporting authentic learning endeavors. Based on these theoretical foundations, the design of the adventure learning experiences follows seven interdependent principles that further operationalize AL: researched curriculum grounded in inquiry; collaboration and interaction opportunities between students, experts, peers, and content; utilization of the Internet for curriculum and learning environment delivery; enhancement of curriculum with media and text from the field delivered in a timely manner; synched learning opportunities with the AL curriculum; pedagogical guidelines of the curriculum and the online learning environment; and adventure-based education. (Doering, 2006).

Biased ART: a neural architecture that shifts attention toward previously disregarded features following an incorrect prediction.

PubMed

Carpenter, Gail A; Gaddam, Sai Chaitanya

2010-04-01

Memories in Adaptive Resonance Theory (ART) networks are based on matched patterns that focus attention on those portions of bottom-up inputs that match active top-down expectations. While this learning strategy has proved successful for both brain models and applications, computational examples show that attention to early critical features may later distort memory representations during online fast learning. For supervised learning, biased ARTMAP (bARTMAP) solves the problem of over-emphasis on early critical features by directing attention away from previously attended features after the system makes a predictive error. Small-scale, hand-computed analog and binary examples illustrate key model dynamics. Two-dimensional simulation examples demonstrate the evolution of bARTMAP memories as they are learned online. Benchmark simulations show that featural biasing also improves performance on large-scale examples. One example, which predicts movie genres and is based, in part, on the Netflix Prize database, was developed for this project. Both first principles and consistent performance improvements on all simulation studies suggest that featural biasing should be incorporated by default in all ARTMAP systems. Benchmark datasets and bARTMAP code are available from the CNS Technology Lab Website: http://techlab.bu.edu/bART/. Copyright 2009 Elsevier Ltd. All rights reserved.

When Disney Meets the Research Park: Metaphors and Models for Engineering an Online Learning Community of Tomorrow

ERIC Educational Resources Information Center

Chenail, Ronald J.

2004-01-01

It is suggested that educators look to an environment in which qualitative research can be learned in more flexible and creative ways--an online learning community known as the Research Park Online (RPO). This model, based upon Walt Disney's 1966 plan for his "Experimental Prototype Community of Tomorrow" (EPCOT) and university cooperative…

Beyond Online versus Face-to-Face Comparisons: The Interaction of Student Age and Mode of Instruction on Academic Achievement

ERIC Educational Resources Information Center

Slover, Ed; Mandernach, Jean

2018-01-01

While it is well-established that nontraditional students are more likely to take online courses than their traditional-age counterparts, investigations of the learning equivalence between online and campus-based instruction typically fail to consider student age as a mediating factor in the learning experience. To examine learning outcomes as a…

Is the Educational Technology Revolution Losing Steam? What Academic Leaders Can Do to Keep Us Moving Forward

ERIC Educational Resources Information Center

Miller, Michelle D.

2017-01-01

Educational technology has fueled a revolution in higher education. Technology-based models such as blended learning, fully online courses, online degree programs, and MOOCs (massive open online courses) are redefining what teaching looks like. They also greatly expand who gets to learn and where and when that learning can take place. The ed tech…

Role and Constructivist Competencies of an Online Instructor: Elements of an Online Learning Course

ERIC Educational Resources Information Center

Parker, Marsha L.

2014-01-01

Distance learning programs in higher education are evolving into the preferred model for how we educate learners in the 21st century. The traditional role of an instructor was focused on creating an effective learning environment based in a physical classroom setting. In this decade, institutions are educating and training online instructors to a…

Using the Knowledge, Process, Practice (KPP) model for driving the design and development of online postgraduate medical education.

PubMed

Shaw, Tim; Barnet, Stewart; Mcgregor, Deborah; Avery, Jennifer

2015-01-01

Online learning is a primary delivery method for continuing health education programs. It is critical that programs have curricula objectives linked to educational models that support learning. Using a proven educational modelling process ensures that curricula objectives are met and a solid basis for learning and assessment is achieved. To develop an educational design model that produces an educationally sound program development plan for use by anyone involved in online course development. We have described the development of a generic educational model designed for continuing health education programs. The Knowledge, Process, Practice (KPP) model is founded on recognised educational theory and online education practice. This paper presents a step-by-step guide on using this model for program development that encases reliable learning and evaluation. The model supports a three-step approach, KPP, based on learning outcomes and supporting appropriate assessment activities. It provides a program structure for online or blended learning that is explicit, educationally defensible, and supports multiple assessment points for health professionals. The KPP model is based on best practice educational design using a structure that can be adapted for a variety of online or flexibly delivered postgraduate medical education programs.

Use of Online Training Modules for Professional Development with School-Based Therapists: Outcome Project

ERIC Educational Resources Information Center

Lawdis, Katina; Baist, Heidi; Pittman, Corinthus O.

2017-01-01

This evidence-based project provided a professional development opportunity for school-based therapists to gain knowledge about evidence-based practice and learn strategies to integrate newly learned knowledge for the purpose of becoming an evidence-based practitioner. The purpose of the project was to determine whether a six-module online course…

The Association between Motivation, Affect, and Self-regulated Learning When Solving Problems

PubMed Central

Baars, Martine; Wijnia, Lisette; Paas, Fred

2017-01-01

Self-regulated learning (SRL) skills are essential for learning during school years, particularly in complex problem-solving domains, such as biology and math. Although a lot of studies have focused on the cognitive resources that are needed for learning to solve problems in a self-regulated way, affective and motivational resources have received much less research attention. The current study investigated the relation between affect (i.e., Positive Affect and Negative Affect Scale), motivation (i.e., autonomous and controlled motivation), mental effort, SRL skills, and problem-solving performance when learning to solve biology problems in a self-regulated online learning environment. In the learning phase, secondary education students studied video-modeling examples of how to solve hereditary problems, solved hereditary problems which they chose themselves from a set of problems with different complexity levels (i.e., five levels). In the posttest, students solved hereditary problems, self-assessed their performance, and chose a next problem from the set of problems but did not solve these problems. The results from this study showed that negative affect, inaccurate self-assessments during the posttest, and higher perceptions of mental effort during the posttest were negatively associated with problem-solving performance after learning in a self-regulated way. PMID:28848467

A Comparison of Asynchronous Online Text-Based Lectures and Synchronous Interactive Web Conferencing Lectures

ERIC Educational Resources Information Center

Skylar, Ashley Ann

2009-01-01

Online learning environments are more prevalent in teacher education than ever before. In 2009, many instructors are attempting to emulate traditional instructional methods in the online learning environment as much as possible. Online courses are separated into two categories, (1) asynchronous; and (2) synchronous, depending on the nature of the…

Toward Effective Group Formation in Computer-Supported Collaborative Learning

ERIC Educational Resources Information Center

Sadeghi, Hamid; Kardan, Ahmad A.

2016-01-01

Group formation task as a starting point for computer-supported collaborative learning plays a key role in achieving pedagogical goals. Various approaches have been reported in the literature to address this problem, but none have offered an optimal solution. In this research, an online learning environment was modeled as a weighted undirected…

Immersive Learning Technologies: Realism and Online Authentic Learning

ERIC Educational Resources Information Center

Herrington, Jan; Reeves, Thomas C.; Oliver, Ron

2007-01-01

The development of immersive learning technologies in the form of virtual reality and advanced computer applications has meant that realistic creations of simulated environments are now possible. Such simulations have been used to great effect in training in the military, air force, and in medical training. But how realistic do problems need to be…

Gaming Personality and Game Dynamics in Online Discussion Instructions

ERIC Educational Resources Information Center

Tu, Chih-Hsiung; Yen, Cherng-Jyh; Sujo-Montes, Laura; Roberts, Gayle A.

2015-01-01

Gamification is the use of game mechanics to drive game-like engagements and actions. It applies game mechanics, dynamics and frameworks to promote desired learning behaviours. Positive and effective gamification could enhance learning and engage learners in more social and context-rich decision-making for problem-solving in learning tasks.…

Optimization through satisficing with prospects

NASA Astrophysics Data System (ADS)

Oyo, Kuratomo; Takahashi, Tatsuji

2017-07-01

As the broadening scope of reinforcement learning calls for a rational and more efficient heuristics, we test a satisficing strategy named RS, based on the theory of bounded rationality that considers the limited resources in agents. In K-armed bandit problems, despite its simpler form than the previous formalization of satisficing, RS shows better-than-optimal performances when the optimal aspiration level is given. We also show that RS shows a scalability for the number of actions, K, and an adaptability in the face of an infinite number of actions. It may be an efficient means for online learning in a complex or real environments.

Online Conferencing: Lessons Learned.

ERIC Educational Resources Information Center

Green, Lyndsay

This guide summarizes lessons learned from the author's experience of organizing and moderating five non-pedagogical online conferences that use World Wide Web-based conferencing software, whether synchronous or asynchronous. Seven sections cover the following topics: (1) the pros and cons of online conferencing; (2) setting objectives; (3)…

A globally convergent MC algorithm with an adaptive learning rate.

PubMed

Peng, Dezhong; Yi, Zhang; Xiang, Yong; Zhang, Haixian

2012-02-01

This brief deals with the problem of minor component analysis (MCA). Artificial neural networks can be exploited to achieve the task of MCA. Recent research works show that convergence of neural networks based MCA algorithms can be guaranteed if the learning rates are less than certain thresholds. However, the computation of these thresholds needs information about the eigenvalues of the autocorrelation matrix of data set, which is unavailable in online extraction of minor component from input data stream. In this correspondence, we introduce an adaptive learning rate into the OJAn MCA algorithm, such that its convergence condition does not depend on any unobtainable information, and can be easily satisfied in practical applications.

Engaging Professional Learning in Online Environments

ERIC Educational Resources Information Center

Bell, Amani; Morris, Gayle

2009-01-01

Much of what is regarded as effective professional learning is that which is situated, incorporates a social dimension and enables practitioners to converge in and around authentic practice. This article describes an inter-university online learning resource for tutors which is underpinned by a practice based approach to professional learning. The…

Integral reinforcement learning for continuous-time input-affine nonlinear systems with simultaneous invariant explorations.

PubMed

Lee, Jae Young; Park, Jin Bae; Choi, Yoon Ho

2015-05-01

This paper focuses on a class of reinforcement learning (RL) algorithms, named integral RL (I-RL), that solve continuous-time (CT) nonlinear optimal control problems with input-affine system dynamics. First, we extend the concepts of exploration, integral temporal difference, and invariant admissibility to the target CT nonlinear system that is governed by a control policy plus a probing signal called an exploration. Then, we show input-to-state stability (ISS) and invariant admissibility of the closed-loop systems with the policies generated by integral policy iteration (I-PI) or invariantly admissible PI (IA-PI) method. Based on these, three online I-RL algorithms named explorized I-PI and integral Q -learning I, II are proposed, all of which generate the same convergent sequences as I-PI and IA-PI under the required excitation condition on the exploration. All the proposed methods are partially or completely model free, and can simultaneously explore the state space in a stable manner during the online learning processes. ISS, invariant admissibility, and convergence properties of the proposed methods are also investigated, and related with these, we show the design principles of the exploration for safe learning. Neural-network-based implementation methods for the proposed schemes are also presented in this paper. Finally, several numerical simulations are carried out to verify the effectiveness of the proposed methods.

Web-Based Problem-Solving Assignment and Grading System

NASA Astrophysics Data System (ADS)

Brereton, Giles; Rosenberg, Ronald

2014-11-01

In engineering courses with very specific learning objectives, such as fluid mechanics and thermodynamics, it is conventional to reinforce concepts and principles with problem-solving assignments and to measure success in problem solving as an indicator of student achievement. While the modern-day ease of copying and searching for online solutions can undermine the value of traditional assignments, web-based technologies also provide opportunities to generate individualized well-posed problems with an infinite number of different combinations of initial/final/boundary conditions, so that the probability of any two students being assigned identical problems in a course is vanishingly small. Such problems can be designed and programmed to be: single or multiple-step, self-grading, allow students single or multiple attempts; provide feedback when incorrect; selectable according to difficulty; incorporated within gaming packages; etc. In this talk, we discuss the use of a homework/exam generating program of this kind in a single-semester course, within a web-based client-server system that ensures secure operation.

The Potential Use of Mobile Technology: Enhancing Accessibility and Communication in a Blended Learning Course

ERIC Educational Resources Information Center

Mayisela, Tabisa

2013-01-01

Mobile technology is increasingly being used to support blended learning beyond computer centres. It has been considered as a potential solution to the problem of a shortage of computers for accessing online learning materials (courseware) in a blended learning course. The purpose of the study was to establish how the use of mobile technology…

Geospatial Service Platform for Education and Research

NASA Astrophysics Data System (ADS)

Gong, J.; Wu, H.; Jiang, W.; Guo, W.; Zhai, X.; Yue, P.

2014-04-01

We propose to advance the scientific understanding through applications of geospatial service platforms, which can help students and researchers investigate various scientific problems in a Web-based environment with online tools and services. The platform also offers capabilities for sharing data, algorithm, and problem-solving knowledge. To fulfil this goal, the paper introduces a new course, named "Geospatial Service Platform for Education and Research", to be held in the ISPRS summer school in May 2014 at Wuhan University, China. The course will share cutting-edge achievements of a geospatial service platform with students from different countries, and train them with online tools from the platform for geospatial data processing and scientific research. The content of the course includes the basic concepts of geospatial Web services, service-oriented architecture, geoprocessing modelling and chaining, and problem-solving using geospatial services. In particular, the course will offer a geospatial service platform for handson practice. There will be three kinds of exercises in the course: geoprocessing algorithm sharing through service development, geoprocessing modelling through service chaining, and online geospatial analysis using geospatial services. Students can choose one of them, depending on their interests and background. Existing geoprocessing services from OpenRS and GeoPW will be introduced. The summer course offers two service chaining tools, GeoChaining and GeoJModelBuilder, as instances to explain specifically the method for building service chains in view of different demands. After this course, students can learn how to use online service platforms for geospatial resource sharing and problem-solving.

Navigating the changing learning landscape: perspective from bioinformatics.ca

PubMed Central

Ouellette, B. F. Francis

2013-01-01

With the advent of YouTube channels in bioinformatics, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics tool, the more traditional continuing education bioinformatics training programs have had to adapt. Bioinformatics training programs that solely rely on traditional didactic methods are being superseded by these newer resources. Yet such face-to-face instruction is still invaluable in the learning continuum. Bioinformatics.ca, which hosts the Canadian Bioinformatics Workshops, has blended more traditional learning styles with current online and social learning styles. Here we share our growing experiences over the past 12 years and look toward what the future holds for bioinformatics training programs. PMID:23515468

Integrating E-Learning 2.0 into Online Courses

ERIC Educational Resources Information Center

Yuen, Steve Chi-Yin

2014-01-01

This paper provides an overview of e-learning 2.0 concepts and presents a case study that involves the design, development, and teaching of two online courses based on e-learning 2.0 concepts. The design and the construction of e-learning 2.0 courses, and their effects on the students' learning experience are examined. In addition, students'…

Student Acceptance of Web-Based Learning: A Quantitative Analysis within a Public University in Thailand

ERIC Educational Resources Information Center

Bhrommalee, Panu

2011-01-01

Online learning provides learners with more convenient and flexible ways of learning than does a traditional learning environment. Many Thai universities have implemented online learning for their students despite a lack of knowledge and understanding about students' attitudes toward and behavioral intention to using the system. The purpose of…

The Effects of Prior-knowledge and Online Learning Approaches on Students' Inquiry and Argumentation Abilities

NASA Astrophysics Data System (ADS)

Yang, Wen-Tsung; Lin, Yu-Ren; She, Hsiao-Ching; Huang, Kai-Yi

2015-07-01

This study investigated the effects of students' prior science knowledge and online learning approaches (social and individual) on their learning with regard to three topics: science concepts, inquiry, and argumentation. Two science teachers and 118 students from 4 eighth-grade science classes were invited to participate in this research. Students in each class were divided into three groups according to their level of prior science knowledge; they then took either our social- or individual-based online science learning program. The results show that students in the social online argumentation group performed better in argumentation and online argumentation learning. Qualitative analysis indicated that the students' social interactions benefited the co-construction of sound arguments and the accurate understanding of science concepts. In constructing arguments, students in the individual online argumentation group were limited to knowledge recall and self-reflection. High prior-knowledge students significantly outperformed low prior-knowledge students in all three aspects of science learning. However, the difference in inquiry and argumentation performance between low and high prior-knowledge students decreased with the progression of online learning topics.

Involuntary Commitment Application: An Online Training Module

ERIC Educational Resources Information Center

Whitfield, Kimberly Y.

2012-01-01

The use of Web-based technology has enabled many government and corporate training divisions to reach more learners than ever before. Institutions are restructuring their budgets, obtaining funding from governments and foundations to fund resources needed to increase online learning offerings. While online learning is increasing, questions arise…

Inter-University Collaboration for Online Teaching Innovation: An Emerging Model

ERIC Educational Resources Information Center

Nerlich, Andrea Perkins; Soldner, James L.; Millington, Michael J.

2012-01-01

Distance education is constantly evolving and improving. To stay current, effective online instructors must utilize the most innovative, evidence-based teaching methods available to promote student learning and satisfaction in their courses. One emerging teaching method, referred to as blended online learning (BOL), involves collaborative…

The Online Learning Academy.

ERIC Educational Resources Information Center

Taylor, Suzanne Liebowitz; McKay, Donald P.; Culp, Ann; Baumann, Stephen; Elinich, Karen

This paper describes the Online Learning Academy (OLLA), a World Wide Web-based presence that supports the use of telecomputing in the classroom by: connecting teachers to each other and Internet educational resources; fostering the use of online resources and collaboration; encouraging and enabling the sharing of classroom experiences; and…

Activity-Based Costing Models for Alternative Modes of Delivering On-Line Courses

ERIC Educational Resources Information Center

Garbett, Chris

2011-01-01

In recent years there has been growth in online distance learning courses. This has been prompted by; new technology such as the Internet, mobile learning, video and audio conferencing: the explosion in student numbers in Higher Education, and the need for outreach to a world wide market. Web-based distance learning is seen as a solution to…

Active Learning Works! Until It Doesn't: Measuring the Effectiveness of Activity-Based Learning Exercises on Information Anxiety

ERIC Educational Resources Information Center

Halpern, Rebecca

2016-01-01

This study served to investigate how information literacy instruction can alleviate information anxiety in online learners. While there has been much research to demonstrate that hands-on or activity-based learning is beneficial in reducing library anxiety, those studies have not been conducted for the online classroom. Using a required,…

Students' Perception of a Flipped Classroom Approach to Facilitating Online Project-Based Learning in Marketing Research Courses

ERIC Educational Resources Information Center

Shih, Wen-Ling; Tsai, Chun-Yen

2017-01-01

This study investigated students' perception of a flipped classroom approach to facilitating online project-based learning (FC-OPBL) in a marketing research course at a technical university. This combined strategy was aimed at improving teaching quality and learning efficiency. Sixty-seven students taking a marketing research course were surveyed.…

Earth System Science Online: An Innovative Course for Non-traditional Students, Offered by Hampton University

NASA Astrophysics Data System (ADS)

Robinson, D. Q.; Kozusko, F.; Maggi, B. H.

2003-12-01

Hampton University (HU), a historically black university, is currently offering an innovative online course, Earth System Science Online, for teachers, future teachers, non-science undergraduate majors, and mature non-traditional students continuing their education. Supported by NASA and offered by the Interdisciplinary Science Center at HU, this course targets students interested in an asynchronous web-based learning environment. Often these students are working adults, such as those in the HU religious studies program, or undergraduate athletes who need the flexibility of taking their courses online in the evenings. Participants of this course earn three hours of science credit either graduate or undergraduate through their online explorations of the geosphere, hydrosphere, and atmosphere. The incorporation of specific problem-based case studies, allows students to investigate weather phenomena, deforestation, and the various instruments and satellite data systems that are used to collect and analyze this data. This web-based course utilizes the unique capabilities of the web allowing students to work at a self-regulated pace and at times most convenient to their schedules. The course delivers all lectures, text readings, and course assignments online. Assignments are given on a weekly basis, and participants are expected to conduct independent research that will enrich their online experience. The nature of the web allows the students to easily integrate text and graphics into their assignments and have access to their classmate's work. Participants meet online weekly and interact as a team.

A Web-Based Synchronous Collaborative Review Tool: A Case Study of an On-Line Graduate Course

ERIC Educational Resources Information Center

Serce, Fatma Cemile; Yildirim, Soner

2006-01-01

On-line collaboration is an instructional method that facilitates collaboration in an on-line learning setting. To promote effective collaboration, it is vital to reveal both the student's and the instructor's point of view pertaining to effective on-line collaboration. In this study, the effectiveness of a learning management system in on-line…

Mastering the Online Master's: Developing and Delivering an Online MA in English Language Teaching through a Dialogic-Based Framework

ERIC Educational Resources Information Center

Baker, Will; Watson, Julie

2014-01-01

With an ever increasing array of technologies offering potential for the delivery of educational e-content and support of online communication and interaction, distance learning has an opportunity to make the transition to authentic online learning and teaching as never before. However, it seems that institutions are only slowly exploiting this…

Describing the on-line graduate science student: An examination of learning style, learning strategy, and motivation

NASA Astrophysics Data System (ADS)

Spevak, Arlene J.

Research in science education has presented investigations and findings related to the significance of particular learning variables. For example, the factors of learning style, learning strategy and motivational orientation have been shown to have considerable impact upon learning in a traditional classroom setting. Although these data have been somewhat generous for the face-to-face learning situation, this does not appear to be the case for distance education, particularly the Internet-based environment. The purpose of this study was to describe the on-line graduate science student, regarding the variables of learning style, learning strategy and motivational orientation. It was believed that by understanding the characteristics of adult science learners and by identifying their learning needs, Web course designers and science educators could create on-line learning programs that best utilized students' strengths in learning science. A case study method using a questionnaire, inventories, telephone interviews and documents was applied to nine graduate science students who participated for ten weeks in an asynchronous, exclusively Internet mediated graduate science course at a large, Northeastern university. Within-case and cross-case analysis indicated that these learners displayed several categories of learning styles as well as learning strategies. The students also demonstrated high levels of both intrinsic and extrinsic motivation, and this, together with varying strategy use, may have compensated for any mismatch between their preferred learning styles and their learning environment. Recommendations include replicating this study in other online graduate science courses, administration of learning style and learning strategy inventories to perspective online graduate science students, incorporation of synchronous communication into on-line science courses, and implementation of appropriate technology that supports visual and kinesthetic learners. Although the study was limited to nine participants, the implications of the findings are clear. Most adult science students experience learning in an on-line environment. Those who are independent, highly motivated learners and utilize a variety of learning strategies can adapt their learning style to the situational aspects of the learning environment. This further indicates that Internet-based graduate science education institutions should become aware of different learning styles and strategies, and be prepared to address this variety when developing and delivering such programming.

The impact of teachers' approaches to teaching and students' learning styles on students' approaches to learning in college online biology courses

NASA Astrophysics Data System (ADS)

Hong, Yuh-Fong

With the rapid growth of online courses in higher education institutions, research on quality of learning for online courses is needed. However, there is a notable lack of research in the cited literature providing evidence that online distance education promotes the quality of independent learning to which it aspires. Previous studies focused on academic outcomes and technology applications which do not monitor students' learning processes, such as their approaches to learning. Understanding students' learning processes and factors influencing quality of learning will provide valuable information for instructors and institutions in providing quality online courses and programs. The purpose of this study was to identify and investigate college biology teachers' approaches to teaching and students' learning styles, and to examine the impact of approaches to teaching and learning styles on students' approaches to learning via online instruction. Data collection included eighty-seven participants from five online biology courses at a community college in the southern area of Texas. Data analysis showed the following results. First, there were significant differences in approaches to learning among students with different learning styles. Second, there was a significant difference in students' approaches to learning between classes using different approaches to teaching. Three, the impact of learning styles on students' approaches to learning was not influenced by instructors' approaches to teaching. Two conclusions were obtained from the results. First, individuals with the ability to perceive information abstractly might be more likely to adopt deep approaches to learning than those preferring to perceive information through concrete experience in online learning environments. Second, Teaching Approach Inventory might not be suitable to measure approaches to teaching for online biology courses due to online instructional design and technology limitations. Based on the findings and conclusions of this study, implications for distance education and future research are described.

Instructional Design for Online Learning Environments and the Problem of Collaboration in the Cloud

ERIC Educational Resources Information Center

Mehlenbacher, Brad; Kelly, Ashley Rose; Kampe, Christopher; Kittle Autry, Meagan

2018-01-01

To investigate how college students understand and use cloud technology for collaborative writing, the authors studied two asynchronous online courses, on science communication and on technical communication. Students worked on a group assignment (3-4 per group) using Google Docs and individually reflected on their experience writing…

Visual Teaching Model for Introducing Programming Languages

ERIC Educational Resources Information Center

Shehane, Ronald; Sherman, Steven

2014-01-01

This study examines detailed usage of online training videos that were designed to address specific course problems that were encountered in an online computer programming course. The study presents the specifics of a programming course where training videos were used to provide students with a quick start path to learning a new programming…

Collaborative Learning in Online Study Groups: An Evolutionary Game Theory Perspective

ERIC Educational Resources Information Center

Chiong, Raymond; Jovanovic, Jelena

2012-01-01

Educational benefits of online collaborative group work have been confirmed in numerous research studies. Most frequently cited advantages include the development of skills of critical thinking and problem solving as well as skills of self-reflection and co-construction of knowledge and meaning. However, the establishment and maintenance of active…

An Online Course of Business Statistics: The Proportion of Successful Students

ERIC Educational Resources Information Center

Pena-Sanchez, Rolando

2009-01-01

This article describes the students' academic progress in an online course of business statistics through interactive software assignments and diverse educational homework, which helps these students to build their own e-learning through basic competences; i.e. interpreting results and solving problems. Cross-tables were built for the categorical…

Learner Support Services for Online Students: Scaffolding for Success.

ERIC Educational Resources Information Center

Ludwig-Hardman, Stacey; Dunlap, Joanna C.

2003-01-01

Effective retention for online students requires learner support services. Based on the principle of scaffolding, these services include intake and diagnosis during recruitment and admission, orientation to online learning, one-to-one advising, and access to a learning community. These supports can help overcome isolation, lack of self-direction…

Using Cognitive Maps to Promote Self-Managed Learning in Online Communities of Inquiry

ERIC Educational Resources Information Center

Peacock, Susi; Cowan, John

2016-01-01

As online learners become more diverse and less well-prepared individually, particular help is required when transitioning into new, online learning environments, requiring engagement in collaborative, community-based educational activities. Cognitive maps provide one tool for tutors to support individuals in navigating the unfamiliar maze of…

Analysis of Asynchronous Online Discussion Using the SOLO Taxonomy

ERIC Educational Resources Information Center

Holmes, Kathryn

2005-01-01

The online learning environment provides the opportunity for remote groups of students to interact with instructors and each other. Most web based learning platforms facilitate synchronous online discussions between participants. These discussion forums are designed to replicate the face to face tutorial setting and provide a medium for the…

Learning System Design Consideration in Creating an Online Learning Environment.

ERIC Educational Resources Information Center

Schaffer, Scott

This paper describes the design of a Web-based learning environment for leadership facilitators in a United States military organization. The overall aim of this project was to design a prototype of an online learning environment that supports leadership facilitators' knowledge development in the content area of motivation. The learning…

Learning Objects as Tools for Teaching Information Literacy Online: A Survey of Librarian Usage

ERIC Educational Resources Information Center

Mestre, Lori S.; Baures, Lisa; Niedbala, Mona; Bishop, Corinne; Cantrell, Sarah; Perez, Alice; Silfen, Kate

2011-01-01

Based on information gathered from two discussion sessions moderated by members of the Education and Behavioral Sciences Section's Online Learning Research Committee a survey was conducted to identify how librarians use course/learning management systems and learning objects to deliver instruction. Objectives of the study were to identify the…

Motivational Factors Affecting Online Learning by Japanese MBA Students

ERIC Educational Resources Information Center

Kikuchi, Hisayo

2006-01-01

In Japan, Internet based learning is still at an early stage. However, adult learners in Japanese society expect the development of flexible e-learning programs. This case study examines motivational factors affecting online learning in a Japanese and Australian MBA program, using observations, interviews and a questionnaire survey. The data were…

Utilizing Learners' Negative Ratings in Semantic Content-Based Recommender System for e-Learning Forum

ERIC Educational Resources Information Center

Albatayneh, Naji Ahmad; Ghauth, Khairil Imran; Chua, Fang-Fang

2018-01-01

Nowadays, most of e-learning systems embody online discussion forums as a medium for collaborative learning that supports knowledge sharing and information exchanging between learners. The exponential growth of the available shared information in e-learning online discussion forums has caused a difficulty for learners in discovering interesting…

Construction of IT Based Learning System at University Level

NASA Astrophysics Data System (ADS)

Akiyama, Hidenori; Kozono, Kazutake

Rapid progress of information and communication technologies has been changing the education method. In Japan, online lectures have been recognized as the credits for graduation by the change of a law since 2001. One trial to construct an IT based learning system has been done for the development of IT based higher education and training. Educational effect of online lecture taken anytime and anywhere is evaluated, and then an authoring software for online lectures is developed for educators who are not familiar to IT. A learning management system begins to be operated for whole lectures, and a wireless LAN system is equipped in whole campus of Kumamoto University.

An empirical study of the effect of granting multiple tries for online homework

NASA Astrophysics Data System (ADS)

Kortemeyer, Gerd

2015-07-01

When deploying online homework in physics courses, an important consideration is how many tries learners should be allowed to solve numerical free-response problems. While on the one hand, this number should be large enough to allow learners mastery of concepts and avoid copying, on the other hand, granting too many allowed tries encourages counter-productive behavior. We investigate data from an introductory calculus-based physics course that allowed different numbers of tries in different semesters. It turns out that the probabilities for successfully completing or abandoning problems during a particular try are independent of the number of tries already made, which indicates that students do not learn from their earlier tries. We also find that the probability for successfully completing a problem during a particular try decreases with the number of allowed tries, likely due to increased carelessness or guessing, while the probability to give up on a problem after a particular try is largely independent of the number of allowed tries. These findings lead to a mathematical model for learner usage of multiple tries, which predicts an optimum number of five allowed tries.

Facilitating Argumentative Knowledge Construction through a Transactive Discussion Script in CSCL

ERIC Educational Resources Information Center

Noroozi, Omid; Weinberger, Armin; Biemans, Harm J. A.; Mulder, Martin; Chizari, Mohammad

2013-01-01

Learning to argue is prerequisite to solving complex problems in groups, especially when they are multidisciplinary and collaborate online. Environments for Computer-Supported Collaborative Learning (CSCL) can be designed to facilitate argumentative knowledge construction. This study investigates how argumentative knowledge construction in…

Automatic Invocation Linking for Collaborative Web-Based Corpora

NASA Astrophysics Data System (ADS)

Gardner, James; Krowne, Aaron; Xiong, Li

Collaborative online encyclopedias or knowledge bases such as Wikipedia and PlanetMath are becoming increasingly popular because of their open access, comprehensive and interlinked content, rapid and continual updates, and community interactivity. To understand a particular concept in these knowledge bases, a reader needs to learn about related and underlying concepts. In this chapter, we introduce the problem of invocation linking for collaborative encyclopedia or knowledge bases, review the state of the art for invocation linking including the popular linking system of Wikipedia, discuss the problems and challenges of automatic linking, and present the NNexus approach, an abstraction and generalization of the automatic linking system used by PlanetMath.org. The chapter emphasizes both research problems and practical design issues through discussion of real world scenarios and hence is suitable for both researchers in web intelligence and practitioners looking to adopt the techniques. Below is a brief outline of the chapter.

Developing resident learning profiles: Do scientific evidence epistemology beliefs, EBM self-efficacy beliefs and EBM skills matter?

NASA Astrophysics Data System (ADS)

Robert, Nancy J.

This study investigated resident scientific evidence epistemology beliefs, evidence based medicine (EBM) self-efficacy beliefs, and EBM skills. A convenience sample of fifty-one residents located in six U.S. based residency programs completed an online instrument. Hofer's epistemology survey questionnaire was modified to test responses based on four types of scientific evidence encountered in medical practice (Clinical Trial Phase 1, Clinical Trial Phase 3, Meta-analysis and Qualitative). It was hypothesized that epistemology beliefs would differ based on the type of scientific evidence considered. A principal components analysis produced a two factor solution that was significant across type of scientific evidence suggesting that when evaluating epistemology beliefs context does matter. Factor 1 is related to the certainty of research methods and the certainty of medical conclusions and factor 2 denotes medical justification. For each type of scientific evidence, both factors differed on questions comprising the factor structure with significant differences found for the factor 1 and 2 questions. A justification belief case problem using checklist format was triangulated with the survey results, and as predicted the survey and checklist justification z scores indicated no significant differences, and two new justification themes emerged. Modified versions of Finney and Schraw's statistical self-efficacy and skill instruments produced expected significant EBM score correlations with unexpected results indicating that the number of EBM and statistics courses are not significant for EBM self-efficacy and skill scores. The study results were applied to the construction of a learning profile that provided residents belief and skill feedback specific to individual learning needs. The learning profile design incorporated core values related to 'Believer' populations that focus on art, harmony, tact and diplomacy. Future research recommendations include testing context and case problems in other domains with larger sample sizes, offering belief feedback profiles to understand how individuals value and apply belief knowledge, and conducting belief and skill testing using online access.

Data Mining Student Answers with Moodle to Investigate Learning Pathways in an Introductory Geohazards Course

NASA Astrophysics Data System (ADS)

Sit, S. M.; Brudzinski, M. R.; Colella, H. V.

2012-12-01

The recent growth of online learning in higher education is primarily motivated by a desire to (a) increase the availability of learning experiences for learners who cannot, or choose not, to attend traditional face-to-face offerings, (b) assemble and disseminate instructional content more cost-efficiently, or (c) enable instructors to handle more students while maintaining a learning outcome quality that is equivalent to that of comparable face-to-face instruction. However, a less recognized incentive is that online learning also provides an opportunity for data mining, or efficient discovery of non-obvious valuable patterns from a large collection of data, that can be used to investigate learning pathways as opposed to focusing solely on assessing student outcomes. Course management systems that enable online courses provide a means to collect a vast amount of information to analyze students' behavior and the learning process in general. One of the most commonly used is Moodle (modular object-oriented developmental learning environment), a free learning management system that enables creation of powerful, flexible, and engaging online courses and experiences. In order to examine student learning pathways, the online learning modules we are constructing take advantage of Moodle capabilities to provide immediate formative feedback, verifying answers as correct or incorrect and elaborating on knowledge components to guide students towards the correct answer. By permitting multiple attempts in which credit is diminished for each incorrect answer, we provide opportunities to use data mining strategies to assess thousands of students' actions for evidence of problem solving strategies and mastery of concepts. We will show preliminary results from application of this approach to a ~90 student introductory geohazard course that is migrating toward online instruction. We hope more continuous assessment of students' performances will help generate cognitive models that can inform instructional redesign, improve overall efficiency of student learning, and, potentially, be used to create an intelligent tutoring system.

Flexible Learning in a Workplace Model: Blended a Motivation to a Lifelong Learner in a Social Network Environment

ERIC Educational Resources Information Center

Na-songkhla, Jaitip

2011-01-01

This paper presents a model of learning in a workplace, in which an online course provides flexibility for staff to learn at their convenient hours. A motivation was brought into an account of the success of learning in a workplace program, based upon Behaviorist learning approach--an online mentor and an accumulated learning activities score was…

Teaching evidence-based practice principles to prepare health professions students for an interprofessional learning experience.

PubMed

Aronoff, Nell; Stellrecht, Elizabeth; Lyons, Amy G; Zafron, Michelle L; Glogowski, Maryruth; Grabowski, Jeremiah; Ohtake, Patricia J

2017-10-01

The research assessed online learning modules designed to teach health professions students evidence-based practice (EBP) principles in an interprofessional context across two institutions. Students from nine health professions at two institutions were recruited to participate in this pilot project consisting of two online learning modules designed to prepare students for an in-person case-based interprofessional activity. Librarians and an instructional designer created two EBP modules. Students' competence in EBP was assessed before and after the modules as well as after the in-person activity. Students evaluated the online learning modules and their impact on the students' learning after the in-person session. A total of 39 students from 8 health professions programs participated in the project. Average quiz scores for online EBP module 1 and module 2 were 83% and 76%, respectively. Following completion of the learning modules, adapted Fresno test of competence in EBP scores increased ( p =0.001), indicating that the modules improved EBP skill competence. Student evaluations of the learning modules were positive. Students indicated that they acquired new information skills that contributed to their ability to develop a patient care plan and that they would use these information skills in their future clinical practice. Online EBP learning modules were effective in developing EBP knowledge and skills for health professions students. Using the same modules ensured that students from different health professions at different stages of their professional programs had consistent knowledge and enabled each student to fully engage in an interprofessional evidence-based activity. Student feedback indicated the modules were valued and beneficial.

Lifelong Optimization

DTIC Science & Technology

2015-04-13

cope with dynamic, online optimisation problems with uncertainty, we developed some powerful and sophisticated techniques for learning heuristics...NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) National ICT Australia United NICTA, Locked Bag 6016 Kensington...ABSTRACT Optimization solvers should learn to improve their performance over time. By learning both during the course of solving an optimization

Integrating Global Learning into a Psychology Course Using an Online Platform

ERIC Educational Resources Information Center

Forden, Carie L.; Carrillo, Amy M.

2014-01-01

There is a demand for the integration of global learning/diversity across the curriculum. A series of cross-cultural assignments was created to facilitate global learning in two social psychology classes, one in Egypt, and one in the USA. In these assignments, students collected data and applied course concepts to real-life problems, then…

A Novel Approach for Assisting Teachers in Analyzing Student Web-Searching Behaviors

ERIC Educational Resources Information Center

Hwang, G. J.; Tsai, P. S.; Tsai, C. C.; Tseng, J. C. R.

2008-01-01

Although previous research has demonstrated the benefits of applying the Internet facilities to the learning process, problems with this strategy have also been identified. One of the major difficulties is owing to the lack of an online learning environment that can record the learning portfolio of using the Internet facilities in education, such…