PLUMEX I: Coincident Radar and Rocket Observations of Equatorial Spread-F.

DTIC Science & Technology

1980-03-17

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[Research on Oil Sands Spectral Characteristics and Oil Content by Remote Sensing Estimation].

PubMed

You, Jin-feng; Xing, Li-xin; Pan, Jun; Shan, Xuan-long; Liang, Li-heng; Fan, Rui-xue

2015-04-01

Visible and near infrared spectroscopy is a proven technology to be widely used in identification and exploration of hydrocarbon energy sources with high spectral resolution for detail diagnostic absorption characteristics of hydrocarbon groups. The most prominent regions for hydrocarbon absorption bands are 1,740-1,780, 2,300-2,340 and 2,340-2,360 nm by the reflectance of oil sands samples. These spectral ranges are dominated by various C-H overlapping overtones and combination bands. Meanwhile, there is relatively weak even or no absorption characteristics in the region from 1,700 to 1,730 nm in the spectra of oil sands samples with low bitumen content. With the increase in oil content, in the spectral range of 1,700-1,730 nm the obvious hydrocarbon absorption begins to appear. The bitumen content is the critical parameter for oil sands reserves estimation. The absorption depth was used to depict the response intensity of the absorption bands controlled by first-order overtones and combinations of the various C-H stretching and bending fundamentals. According to the Pearson and partial correlation relationships of oil content and absorption depth dominated by hydrocarbon groups in 1,740-1,780, 2,300-2,340 and 2,340-2,360 nm wavelength range, the scheme of association mode was established between the intensity of spectral response and bitumen content, and then unary linear regression(ULR) and partial least squares regression (PLSR) methods were employed to model the equation between absorption depth attributed to various C-H bond and bitumen content. There were two calibration equations in which ULR method was employed to model the relationship between absorption depth near 2,350 nm region and bitumen content and PLSR method was developed to model the relationship between absorption depth of 1,758, 2,310, 2,350 nm regions and oil content. It turned out that the calibration models had good predictive ability and high robustness and they could provide the scientific basis for rapid estimation of oil content in oil sands in future.

Sleep and sleepiness during an ultra long-range flight operation between the Middle East and United States.

PubMed

Holmes, Alexandra; Al-Bayat, Soha; Hilditch, Cassie; Bourgeois-Bougrine, Samira

2012-03-01

This study provides a practical example of fatigue risk management in aviation. The sleep and sleepiness of 44 pilots (11 trips × 4 pilot crew) working an ultra long-range (ULR; flight time >16 h) round-trip operation between Doha and Houston was assessed. Sleep was assessed using activity monitors and self-reported sleep diaries. Mean Karolinska Sleepiness Scores (KSS) for climb and descent did not exceed 5 ("neither alert nor sleepy"). Mean daily sleep duration was maintained above 6.3h throughout the operation. During in-flight rest periods, 98% of pilots obtained sleep and sleepiness was subsequently reduced. On layover (49.5h) crew were advised to sleep on Doha or Universal Co-ordinated Time (UTC), but 64% slept during the local (social) night time. Pilots originating from regions with a siesta culture were more likely to nap and made particularly effective use of their daytime in-flight rest periods. The results indicate that the operation is well designed from a fatigue management perspective. Copyright © 2011 Elsevier Ltd. All rights reserved.

Learning Organizations, Employee Development and Learning Representative Schemes in the UK and New Zealand

ERIC Educational Resources Information Center

Lee, Bill; Cassell, Catherine

2009-01-01

Purpose: Disparities in learning opportunities endure. This paper aims to investigate whether the learning representative schemes in the UK and New Zealand (NZ) may redress disparate opportunities for learning. Design/methodology/approach: An interview study of UK trade unions' educational officers and an interview study of representatives of…

Representing Learning With Graphical Models

NASA Technical Reports Server (NTRS)

Buntine, Wray L.; Lum, Henry, Jr. (Technical Monitor)

1994-01-01

Probabilistic graphical models are being used widely in artificial intelligence, for instance, in diagnosis and expert systems, as a unified qualitative and quantitative framework for representing and reasoning with probabilities and independencies. Their development and use spans several fields including artificial intelligence, decision theory and statistics, and provides an important bridge between these communities. This paper shows by way of example that these models can be extended to machine learning, neural networks and knowledge discovery by representing the notion of a sample on the graphical model. Not only does this allow a flexible variety of learning problems to be represented, it also provides the means for representing the goal of learning and opens the way for the automatic development of learning algorithms from specifications.

Active Learning by Querying Informative and Representative Examples.

PubMed

Huang, Sheng-Jun; Jin, Rong; Zhou, Zhi-Hua

2014-10-01

Active learning reduces the labeling cost by iteratively selecting the most valuable data to query their labels. It has attracted a lot of interests given the abundance of unlabeled data and the high cost of labeling. Most active learning approaches select either informative or representative unlabeled instances to query their labels, which could significantly limit their performance. Although several active learning algorithms were proposed to combine the two query selection criteria, they are usually ad hoc in finding unlabeled instances that are both informative and representative. We address this limitation by developing a principled approach, termed QUIRE, based on the min-max view of active learning. The proposed approach provides a systematic way for measuring and combining the informativeness and representativeness of an unlabeled instance. Further, by incorporating the correlation among labels, we extend the QUIRE approach to multi-label learning by actively querying instance-label pairs. Extensive experimental results show that the proposed QUIRE approach outperforms several state-of-the-art active learning approaches in both single-label and multi-label learning.

Representative Model of the Learning Process in Virtual Spaces Supported by ICT

ERIC Educational Resources Information Center

Capacho, José

2014-01-01

This paper shows the results of research activities for building the representative model of the learning process in virtual spaces (e-Learning). The formal basis of the model are supported in the analysis of models of learning assessment in virtual spaces and specifically in Dembo´s teaching learning model, the systemic approach to evaluating…

Active Learning Using Hint Information.

PubMed

Li, Chun-Liang; Ferng, Chun-Sung; Lin, Hsuan-Tien

2015-08-01

The abundance of real-world data and limited labeling budget calls for active learning, an important learning paradigm for reducing human labeling efforts. Many recently developed active learning algorithms consider both uncertainty and representativeness when making querying decisions. However, exploiting representativeness with uncertainty concurrently usually requires tackling sophisticated and challenging learning tasks, such as clustering. In this letter, we propose a new active learning framework, called hinted sampling, which takes both uncertainty and representativeness into account in a simpler way. We design a novel active learning algorithm within the hinted sampling framework with an extended support vector machine. Experimental results validate that the novel active learning algorithm can result in a better and more stable performance than that achieved by state-of-the-art algorithms. We also show that the hinted sampling framework allows improving another active learning algorithm designed from the transductive support vector machine.

Densification of the ITRF through the weekly combination of regional and global GNSS solutions

NASA Astrophysics Data System (ADS)

Legrand, J.; Bruyninx, C.; Saria, E.; Griffiths, J.; Craymer, M. R.; Dawson, J. H.; Kenyeres, A.; Santamaría-Gómez, A.; Sanchez, L.; Altamimi, Z.

2012-12-01

The IAG Working Group (WG) "Integration of Dense Velocity Fields in the ITRF" was created in 2011 as a follow-up of the WG "Regional Dense Velocity Fields" (2007-2011). The goal of the WG is to densify the International Terrestrial Reference Frame (ITRF) using regional GNSS solutions as well as global solutions. This was originally done by combining several cumulative position/velocity solutions submitted to the WG by the global analysis center (ULR) and the IAG regional reference frame sub-commissions (APREF, EUREF, SIRGAS, NAREF) analysis centers. However, several test combinations together with the comparison of the residual position time series demonstrated the limitations of this approach. In June 2012, the WG decided to adopt a new approach based on a weekly combination of the GNSS solutions. This new approach will enable us to mitigate network effects, have full control over the discontinuities and the velocity constraints, manage the different data spans and derive residual position time series in addition to a velocity field. All initial contributors have agreed to submit weekly solutions and in addition initial contacts have been made with other sub-commissions, particularly Africa, in order to extent the densified velocity field to all continents. Preliminary results of the analysis of weekly solutions will be presented. More details on the WG are available from http://epncb.oma.be/IAG/.

The use of multi representative learning materials: definitive, macroscopic, microscopic, symbolic, and practice in analyzing students’ concept understanding

NASA Astrophysics Data System (ADS)

Susilaningsih, E.; Wulandari, C.; Supartono; Kasmui; Alighiri, D.

2018-03-01

This research aims to compose learning material which contains definitive macroscopic, microscopic and symbolic to analyze students’ conceptual understanding in acid-base learning materials. This research was conducted in eleven grade, natural science class, senior high school 1 (SMAN 1) Karangtengah, Demak province, Indonesia as the low level of students’ conceptual understanding and the high level of students’ misconception. The data collecting technique is by test to assess the cognitive aspect, questionnaire to assess students’ responses to multi representative learning materials (definitive, macroscopic, microscopic, symbolic), and observation to assess students’ macroscopic aspects. Three validators validate the multi-representative learning materials (definitive, macroscopic, microscopic, symbolic). The results of the research show that the multi-representative learning materials (definitive, macroscopic, microscopes, symbolic) being used is valid in the average score 62 of 75. The data is analyzed using the descriptive qualitative method. The results of the research show that 72.934 % students understand, 7.977 % less understand, 8.831 % do not understand, and 10.256 % misconception. In comparison, the second experiment class shows 54.970 % students understand, 5.263% less understand, 11.988 % do not understand, 27.777 % misconception. In conclusion, the application of multi representative learning materials (definitive, macroscopic, microscopic, symbolic) can be used to analyze the students’ understanding of acid-base materials.

Social learning through prediction error in the brain

NASA Astrophysics Data System (ADS)

Joiner, Jessica; Piva, Matthew; Turrin, Courtney; Chang, Steve W. C.

2017-06-01

Learning about the world is critical to survival and success. In social animals, learning about others is a necessary component of navigating the social world, ultimately contributing to increasing evolutionary fitness. How humans and nonhuman animals represent the internal states and experiences of others has long been a subject of intense interest in the developmental psychology tradition, and, more recently, in studies of learning and decision making involving self and other. In this review, we explore how psychology conceptualizes the process of representing others, and how neuroscience has uncovered correlates of reinforcement learning signals to explore the neural mechanisms underlying social learning from the perspective of representing reward-related information about self and other. In particular, we discuss self-referenced and other-referenced types of reward prediction errors across multiple brain structures that effectively allow reinforcement learning algorithms to mediate social learning. Prediction-based computational principles in the brain may be strikingly conserved between self-referenced and other-referenced information.

M-Learning Adoption: A Perspective from a Developing Country

ERIC Educational Resources Information Center

Iqbal, Shakeel; Qureshi, Ijaz A.

2012-01-01

M-learning is the style of learning for the new millennium. Decreases in cost and increases in capabilities of mobile devices have made this medium attractive for the dissemination of knowledge. Mobile engineers, software developers, and educationists represent the supply side of this technology, whereas students represent the demand side. In…

Behaviorism vs. Humanism: Two Contrasting Approaches to Learning Theory

ERIC Educational Resources Information Center

Alonzo, Thomas M.; And Others

1977-01-01

Presented are summaries of the salient features of the two theories of learning and a brief consideration of their applicability to various learning situations. Skinner and Thorndike are the major theoriests chosen to represent the behaviorist school while Rogers and Maslow have been selected to represent the humanist school. (Author/NG)

Unsupervised learning of contextual constraints in neural networks for simultaneous visual processing of multiple objects

NASA Astrophysics Data System (ADS)

Marshall, Jonathan A.

1992-12-01

A simple self-organizing neural network model, called an EXIN network, that learns to process sensory information in a context-sensitive manner, is described. EXIN networks develop efficient representation structures for higher-level visual tasks such as segmentation, grouping, transparency, depth perception, and size perception. Exposure to a perceptual environment during a developmental period serves to configure the network to perform appropriate organization of sensory data. A new anti-Hebbian inhibitory learning rule permits superposition of multiple simultaneous neural activations (multiple winners), while maintaining contextual consistency constraints, instead of forcing winner-take-all pattern classifications. The activations can represent multiple patterns simultaneously and can represent uncertainty. The network performs parallel parsing, credit attribution, and simultaneous constraint satisfaction. EXIN networks can learn to represent multiple oriented edges even where they intersect and can learn to represent multiple transparently overlaid surfaces defined by stereo or motion cues. In the case of stereo transparency, the inhibitory learning implements both a uniqueness constraint and permits coactivation of cells representing multiple disparities at the same image location. Thus two or more disparities can be active simultaneously without interference. This behavior is analogous to that of Prazdny's stereo vision algorithm, with the bonus that each binocular point is assigned a unique disparity. In a large implementation, such a NN would also be able to represent effectively the disparities of a cloud of points at random depths, like human observers, and unlike Prazdny's method

Student Attitudes toward Learning Analytics in Higher Education: "The Fitbit Version of the Learning World".

PubMed

Roberts, Lynne D; Howell, Joel A; Seaman, Kristen; Gibson, David C

2016-01-01

Increasingly, higher education institutions are exploring the potential of learning analytics to predict student retention, understand learning behaviors, and improve student learning through providing personalized feedback and support. The technical development of learning analytics has outpaced consideration of ethical issues surrounding their use. Of particular concern is the absence of the student voice in decision-making about learning analytics. We explored higher education students' knowledge, attitudes, and concerns about big data and learning analytics through four focus groups ( N = 41). Thematic analysis of the focus group transcripts identified six key themes. The first theme, "Uninformed and Uncertain," represents students' lack of knowledge about learning analytics prior to the focus groups. Following the provision of information, viewing of videos and discussion of learning analytics scenarios three further themes; "Help or Hindrance to Learning," "More than a Number," and "Impeding Independence"; represented students' perceptions of the likely impact of learning analytics on their learning. "Driving Inequality" and "Where Will it Stop?" represent ethical concerns raised by the students about the potential for inequity, bias and invasion of privacy and the need for informed consent. A key tension to emerge was how "personal" vs. "collective" purposes or principles can intersect with "uniform" vs. "autonomous" activity. The findings highlight the need the need to engage students in the decision making process about learning analytics.

Collaborative testing for key-term definitions under representative conditions: Efficiency costs and no learning benefits.

PubMed

Wissman, Kathryn T; Rawson, Katherine A

2018-01-01

Students are expected to learn key-term definitions across many different grade levels and academic disciplines. Thus, investigating ways to promote understanding of key-term definitions is of critical importance for applied purposes. A recent survey showed that learners report engaging in collaborative practice testing when learning key-term definitions, with outcomes also shedding light on the way in which learners report engaging in collaborative testing in real-world contexts (Wissman & Rawson, 2016, Memory, 24, 223-239). However, no research has directly explored the effectiveness of engaging in collaborative testing under representative conditions. Accordingly, the current research evaluates the costs (with respect to efficiency) and the benefits (with respect to learning) of collaborative testing for key-term definitions under representative conditions. In three experiments (ns = 94, 74, 95), learners individually studied key-term definitions and then completed retrieval practice, which occurred either individually or collaboratively (in dyads). Two days later, all learners completed a final individual test. Results from Experiments 1-2 showed a cost (with respect to efficiency) and no benefit (with respect to learning) of engaging in collaborative testing for key-term definitions. Experiment 3 evaluated a theoretical explanation for why collaborative benefits do not emerge under representative conditions. Collectively, outcomes indicate that collaborative testing versus individual testing is less effective and less efficient when learning key-term definitions under representative conditions.

Student Attitudes toward Learning Analytics in Higher Education: “The Fitbit Version of the Learning World”

PubMed Central

Roberts, Lynne D.; Howell, Joel A.; Seaman, Kristen; Gibson, David C.

2016-01-01

Increasingly, higher education institutions are exploring the potential of learning analytics to predict student retention, understand learning behaviors, and improve student learning through providing personalized feedback and support. The technical development of learning analytics has outpaced consideration of ethical issues surrounding their use. Of particular concern is the absence of the student voice in decision-making about learning analytics. We explored higher education students' knowledge, attitudes, and concerns about big data and learning analytics through four focus groups (N = 41). Thematic analysis of the focus group transcripts identified six key themes. The first theme, “Uninformed and Uncertain,” represents students' lack of knowledge about learning analytics prior to the focus groups. Following the provision of information, viewing of videos and discussion of learning analytics scenarios three further themes; “Help or Hindrance to Learning,” “More than a Number,” and “Impeding Independence”; represented students' perceptions of the likely impact of learning analytics on their learning. “Driving Inequality” and “Where Will it Stop?” represent ethical concerns raised by the students about the potential for inequity, bias and invasion of privacy and the need for informed consent. A key tension to emerge was how “personal” vs. “collective” purposes or principles can intersect with “uniform” vs. “autonomous” activity. The findings highlight the need the need to engage students in the decision making process about learning analytics. PMID:28066285

Prediction in Health Domain Using Bayesian Networks Optimization Based on Induction Learning Techniques

NASA Astrophysics Data System (ADS)

Felgaer, Pablo; Britos, Paola; García-Martínez, Ramón

A Bayesian network is a directed acyclic graph in which each node represents a variable and each arc a probabilistic dependency; they are used to provide: a compact form to represent the knowledge and flexible methods of reasoning. Obtaining it from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper we define an automatic learning method that optimizes the Bayesian networks applied to classification, using a hybrid method of learning that combines the advantages of the induction techniques of the decision trees (TDIDT-C4.5) with those of the Bayesian networks. The resulting method is applied to prediction in health domain.

The role of efference copy in striatal learning.

PubMed

Fee, Michale S

2014-04-01

Reinforcement learning requires the convergence of signals representing context, action, and reward. While models of basal ganglia function have well-founded hypotheses about the neural origin of signals representing context and reward, the function and origin of signals representing action are less clear. Recent findings suggest that exploratory or variable behaviors are initiated by a wide array of 'action-generating' circuits in the midbrain, brainstem, and cortex. Thus, in order to learn, the striatum must incorporate an efference copy of action decisions made in these action-generating circuits. Here we review several recent neural models of reinforcement learning that emphasize the role of efference copy signals. Also described are ideas about how these signals might be integrated with inputs signaling context and reward. Copyright © 2014 Elsevier Ltd. All rights reserved.

Forum for Organisational Learning: Combining Learning at Work, Organisational Learning and Training in New Ways.

ERIC Educational Resources Information Center

Simons, P. R. J.; Germans, J.; Ruijters, M.

2003-01-01

The Forum for Organisational Learning is designed to bridge gaps among individual, group/team, and organizational learning. Organizational representatives form communities of learning; their core content involves five paradoxes: top-down and bottom-up approaches, working and learning, individual and organizational goals, structure and empowerment…

Adaptive Device Context Based Mobile Learning Systems

ERIC Educational Resources Information Center

Pu, Haitao; Lin, Jinjiao; Song, Yanwei; Liu, Fasheng

2011-01-01

Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for…

Transfer learning improves supervised image segmentation across imaging protocols.

PubMed

van Opbroek, Annegreet; Ikram, M Arfan; Vernooij, Meike W; de Bruijne, Marleen

2015-05-01

The variation between images obtained with different scanners or different imaging protocols presents a major challenge in automatic segmentation of biomedical images. This variation especially hampers the application of otherwise successful supervised-learning techniques which, in order to perform well, often require a large amount of labeled training data that is exactly representative of the target data. We therefore propose to use transfer learning for image segmentation. Transfer-learning techniques can cope with differences in distributions between training and target data, and therefore may improve performance over supervised learning for segmentation across scanners and scan protocols. We present four transfer classifiers that can train a classification scheme with only a small amount of representative training data, in addition to a larger amount of other training data with slightly different characteristics. The performance of the four transfer classifiers was compared to that of standard supervised classification on two magnetic resonance imaging brain-segmentation tasks with multi-site data: white matter, gray matter, and cerebrospinal fluid segmentation; and white-matter-/MS-lesion segmentation. The experiments showed that when there is only a small amount of representative training data available, transfer learning can greatly outperform common supervised-learning approaches, minimizing classification errors by up to 60%.

Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning.

PubMed

Feng, Yuntian; Zhang, Hongjun; Hao, Wenning; Chen, Gang

2017-01-01

We use both reinforcement learning and deep learning to simultaneously extract entities and relations from unstructured texts. For reinforcement learning, we model the task as a two-step decision process. Deep learning is used to automatically capture the most important information from unstructured texts, which represent the state in the decision process. By designing the reward function per step, our proposed method can pass the information of entity extraction to relation extraction and obtain feedback in order to extract entities and relations simultaneously. Firstly, we use bidirectional LSTM to model the context information, which realizes preliminary entity extraction. On the basis of the extraction results, attention based method can represent the sentences that include target entity pair to generate the initial state in the decision process. Then we use Tree-LSTM to represent relation mentions to generate the transition state in the decision process. Finally, we employ Q -Learning algorithm to get control policy π in the two-step decision process. Experiments on ACE2005 demonstrate that our method attains better performance than the state-of-the-art method and gets a 2.4% increase in recall-score.

Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning

PubMed Central

Zhang, Hongjun; Chen, Gang

2017-01-01

We use both reinforcement learning and deep learning to simultaneously extract entities and relations from unstructured texts. For reinforcement learning, we model the task as a two-step decision process. Deep learning is used to automatically capture the most important information from unstructured texts, which represent the state in the decision process. By designing the reward function per step, our proposed method can pass the information of entity extraction to relation extraction and obtain feedback in order to extract entities and relations simultaneously. Firstly, we use bidirectional LSTM to model the context information, which realizes preliminary entity extraction. On the basis of the extraction results, attention based method can represent the sentences that include target entity pair to generate the initial state in the decision process. Then we use Tree-LSTM to represent relation mentions to generate the transition state in the decision process. Finally, we employ Q-Learning algorithm to get control policy π in the two-step decision process. Experiments on ACE2005 demonstrate that our method attains better performance than the state-of-the-art method and gets a 2.4% increase in recall-score. PMID:28894463

Support-vector-machine tree-based domain knowledge learning toward automated sports video classification

NASA Astrophysics Data System (ADS)

Xiao, Guoqiang; Jiang, Yang; Song, Gang; Jiang, Jianmin

2010-12-01

We propose a support-vector-machine (SVM) tree to hierarchically learn from domain knowledge represented by low-level features toward automatic classification of sports videos. The proposed SVM tree adopts a binary tree structure to exploit the nature of SVM's binary classification, where each internal node is a single SVM learning unit, and each external node represents the classified output type. Such a SVM tree presents a number of advantages, which include: 1. low computing cost; 2. integrated learning and classification while preserving individual SVM's learning strength; and 3. flexibility in both structure and learning modules, where different numbers of nodes and features can be added to address specific learning requirements, and various learning models can be added as individual nodes, such as neural networks, AdaBoost, hidden Markov models, dynamic Bayesian networks, etc. Experiments support that the proposed SVM tree achieves good performances in sports video classifications.

Validating Domain Ontologies: A Methodology Exemplified for Concept Maps

ERIC Educational Resources Information Center

Steiner, Christina M.; Albert, Dietrich

2017-01-01

Ontologies play an important role as knowledge domain representations in technology-enhanced learning and instruction. Represented in form of concept maps they are commonly used as teaching and learning material and have the potential to enhance positive educational outcomes. To ensure the effective use of an ontology representing a knowledge…

The Relative Effects of Alternative Learning Structures on Attitudes and Achievements.

ERIC Educational Resources Information Center

Carifio, James

This study compared two learning structures for an introductory course in tests and measurements in terms of their relative effects on attitudes and achievement. The first structure represented a functionally arranged instructional sequence (FAIS). The second represented a psychologically arranged instructional sequence (PAIS). The instructional…

Adaptation Criteria for the Personalised Delivery of Learning Materials: A Multi-Stage Empirical Investigation

ERIC Educational Resources Information Center

Thalmann, Stefan

2014-01-01

Personalised e-Learning represents a major step-change from the one-size-fits-all approach of traditional learning platforms to a more customised and interactive provision of learning materials. Adaptive learning can support the learning process by tailoring learning materials to individual needs. However, this requires the initial preparation of…

"Learning-in-Action" and "Learning Inaction": Advancing the Theory and Practice of Critical Action Learning

ERIC Educational Resources Information Center

Vince, Russ

2008-01-01

This paper seeks to improve our understanding of the emotional and political dynamics that are generated (and too often avoided) in action learning. The idea at the centre of the paper is a distinction between "learning-in-action" and "learning inaction". The phrase "learning-in-action" represents the value of action…

Representing Authentic Learning Designs Supporting the Development of Online Communities of Learners

ERIC Educational Resources Information Center

Oliver, Ron; Herrington, Anthony; Herrington, Jan; Reeves, Thomas C.

2007-01-01

Authentic learning designs have been explored for some time now and have frequently been shown to provide learning settings that provide many meaningful contexts for learning. These meaningful contexts provide not only encouragement for students to learn but also a raft of learning enhancements including higher-order learning and forms of learning…

Concept Model on Topological Learning

NASA Astrophysics Data System (ADS)

Ae, Tadashi; Kioi, Kazumasa

2010-11-01

We discuss a new model for concept based on topological learning, where the learning process on the neural network is represented by mathematical topology. The topological learning of neural networks is summarized by a quotient of input space and the hierarchical step induces a tree where each node corresponds to a quotient. In general, the concept acquisition is a difficult problem, but the emotion for a subject is represented by providing the questions to a person. Therefore, a kind of concept is captured by such data and the answer sheet can be mapped into a topology consisting of trees. In this paper, we will discuss a way of mapping the emotional concept to a topological learning model.

Do Young Learners Exploit the Same Learning Strategies as Adults?

ERIC Educational Resources Information Center

Hrozková, Ivana

2015-01-01

Learning strategies are considered to be one of the key factors affecting the learning process, its effectiveness and study results. They are important for lifelong learning of foreign languages and as a learning skill they represent a priority in the process of European globalization and integration. Moreover, learning strategies as a foreign…

Learning Opportunities for Group Learning

ERIC Educational Resources Information Center

Gil, Alfonso J.; Mataveli, Mara

2017-01-01

Purpose: This paper aims to analyse the impact of organizational learning culture and learning facilitators in group learning. Design/methodology/approach: This study was conducted using a survey method applied to a statistically representative sample of employees from Rioja wine companies in Spain. A model was tested using a structural equation…

Towards Adaptive Open Learning Environments: Evaluating the Precision of Identifying Learning Styles by Tracking Learners' Behaviours

ERIC Educational Resources Information Center

Fasihuddin, Heba; Skinner, Geoff; Athauda, Rukshan

2017-01-01

Open learning represents a new form of online learning where courses are provided freely online for large numbers of learners. MOOCs are examples of this form of learning. The authors see an opportunity for personalising open learning environments by adapting to learners' learning styles and providing adaptive support to meet individual learner…

Union Learning Representatives: Facilitating Professional Development for Scottish Teachers

ERIC Educational Resources Information Center

Alexandrou, Alex; O'Brien, Jim

2007-01-01

In the United Kingdom, teachers' professional associations and labor organizations, notably in the form of trade unions have historically been involved in education and training in the workplace. Recently, in the United Kingdom this activity has gained greater credence and importance due to the emergence of trade union learning representatives who…

Stacked Multilayer Self-Organizing Map for Background Modeling.

PubMed

Zhao, Zhenjie; Zhang, Xuebo; Fang, Yongchun

2015-09-01

In this paper, a new background modeling method called stacked multilayer self-organizing map background model (SMSOM-BM) is proposed, which presents several merits such as strong representative ability for complex scenarios, easy to use, and so on. In order to enhance the representative ability of the background model and make the parameters learned automatically, the recently developed idea of representative learning (or deep learning) is elegantly employed to extend the existing single-layer self-organizing map background model to a multilayer one (namely, the proposed SMSOM-BM). As a consequence, the SMSOM-BM gains several merits including strong representative ability to learn background model of challenging scenarios, and automatic determination for most network parameters. More specifically, every pixel is modeled by a SMSOM, and spatial consistency is considered at each layer. By introducing a novel over-layer filtering process, we can train the background model layer by layer in an efficient manner. Furthermore, for real-time performance consideration, we have implemented the proposed method using NVIDIA CUDA platform. Comparative experimental results show superior performance of the proposed approach.

"Notice of Violation of IEEE Publication Principles" Multiobjective Reinforcement Learning: A Comprehensive Overview.

PubMed

Liu, Chunming; Xu, Xin; Hu, Dewen

2013-04-29

Reinforcement learning is a powerful mechanism for enabling agents to learn in an unknown environment, and most reinforcement learning algorithms aim to maximize some numerical value, which represents only one long-term objective. However, multiple long-term objectives are exhibited in many real-world decision and control problems; therefore, recently, there has been growing interest in solving multiobjective reinforcement learning (MORL) problems with multiple conflicting objectives. The aim of this paper is to present a comprehensive overview of MORL. In this paper, the basic architecture, research topics, and naive solutions of MORL are introduced at first. Then, several representative MORL approaches and some important directions of recent research are reviewed. The relationships between MORL and other related research are also discussed, which include multiobjective optimization, hierarchical reinforcement learning, and multi-agent reinforcement learning. Finally, research challenges and open problems of MORL techniques are highlighted.

Batch Mode Reinforcement Learning based on the Synthesis of Artificial Trajectories

PubMed Central

Fonteneau, Raphael; Murphy, Susan A.; Wehenkel, Louis; Ernst, Damien

2013-01-01

In this paper, we consider the batch mode reinforcement learning setting, where the central problem is to learn from a sample of trajectories a policy that satisfies or optimizes a performance criterion. We focus on the continuous state space case for which usual resolution schemes rely on function approximators either to represent the underlying control problem or to represent its value function. As an alternative to the use of function approximators, we rely on the synthesis of “artificial trajectories” from the given sample of trajectories, and show that this idea opens new avenues for designing and analyzing algorithms for batch mode reinforcement learning. PMID:24049244

Representing and Learning Complex Object Interactions

PubMed Central

Zhou, Yilun; Konidaris, George

2017-01-01

We present a framework for representing scenarios with complex object interactions, in which a robot cannot directly interact with the object it wishes to control, but must instead do so via intermediate objects. For example, a robot learning to drive a car can only indirectly change its pose, by rotating the steering wheel. We formalize such complex interactions as chains of Markov decision processes and show how they can be learned and used for control. We describe two systems in which a robot uses learning from demonstration to achieve indirect control: playing a computer game, and using a hot water dispenser to heat a cup of water. PMID:28593181

The Effects of Discipline on Deep Approaches to Student Learning and College Outcomes

ERIC Educational Resources Information Center

Nelson Laird, Thomas F.; Shoup, Rick; Kuh, George D.; Schwarz, Michael J.

2008-01-01

"Deep learning" represents student engagement in approaches to learning that emphasize integration, synthesis, and reflection. Because learning is a shared responsibility between students and faculty, it is important to determine whether faculty members emphasize deep approaches to learning and to assess how much students employ these approaches.…

Institutional Perspectives: The Challenges of E-Learning Diffusion

ERIC Educational Resources Information Center

Nichols, Mark

2008-01-01

There has been significant recent interest in the dynamics of institutional change and e-learning. This paper reports on the findings from a series of discussions about e-learning diffusion held with institutional e-learning representatives from across the globe. In the course of discussion it became clear that in some institutions e-learning was…

Learning Styles among Students in an Advanced Soil Management Class: Impact on Students' Performance

ERIC Educational Resources Information Center

Eudoxie, Gaius D.

2011-01-01

Learning styles represent an integral component of the learning environment, which has been shown to differ across institutions and disciplines. To identify learner preferences within a discipline would aid in evaluating instructional resources geared toward active learning. The learning profiles of second-year soil science students (n = 62) were…

E-Learning in a Competitive Firm Setting

ERIC Educational Resources Information Center

Olafsen, Runar Normark; Cetindamar, Dilek

2005-01-01

This paper explores the use of e-learning technologies for organisational learning within a commercial environment. A model has been developed to represent those factors that determine organisational learning. This model has been embedded within a case study based on the use of an e-learning program that was developed in order to enhance…

Development of an Instructional Design Model for Flipped Learning in Higher Education

ERIC Educational Resources Information Center

Lee, Jihyun; Lim, Cheolil; Kim, Hyeonsu

2017-01-01

In response to pedagogical challenges in higher education, blended learning has become a prevalent practice in colleges and universities. Flipped learning (FL) represents a newly emerging form of blended learning, where students individually watch online lectures prior to class and then engage in classroom learning activities interacting with…

Constructing Causal Diagrams to Learn Deliberation

ERIC Educational Resources Information Center

Easterday, Matthew W.; Aleven, Vincent; Scheines, Richard; Carver, Sharon M.

2009-01-01

Policy problems like "What should we do about global warming?" are ill-defined in large part because we do not agree on a system to represent them the way we agree Algebra problems should be represented by equations. As a first step toward building a policy deliberation tutor, we investigated: (a) whether causal diagrams help students learn to…

When Language of Instruction and Language of Application Differ: Cognitive Costs of Bilingual Mathematics Learning

ERIC Educational Resources Information Center

Saalbach, Henrik; Eckstein, Doris; Andri, Nicoletta; Hobi, Reto; Grabner, Roland H.

2013-01-01

Bilingual education programs implicitly assume that the acquired knowledge is represented in a language-independent way. This assumption, however, stands in strong contrast to research findings showing that information may be represented in a way closely tied to the specific language of instruction and learning. The present study aims to examine…

Learning in Artificial Neural Systems

NASA Technical Reports Server (NTRS)

Matheus, Christopher J.; Hohensee, William E.

1987-01-01

This paper presents an overview and analysis of learning in Artificial Neural Systems (ANS's). It begins with a general introduction to neural networks and connectionist approaches to information processing. The basis for learning in ANS's is then described, and compared with classical Machine learning. While similar in some ways, ANS learning deviates from tradition in its dependence on the modification of individual weights to bring about changes in a knowledge representation distributed across connections in a network. This unique form of learning is analyzed from two aspects: the selection of an appropriate network architecture for representing the problem, and the choice of a suitable learning rule capable of reproducing the desired function within the given network. The various network architectures are classified, and then identified with explicit restrictions on the types of functions they are capable of representing. The learning rules, i.e., algorithms that specify how the network weights are modified, are similarly taxonomized, and where possible, the limitations inherent to specific classes of rules are outlined.

International Perspectives of Distance Learning in Higher Education

ERIC Educational Resources Information Center

Moore, Joi L., Ed.; Benson, Angela D., Ed.

2012-01-01

This book, written by authors representing 12 countries and five continents, is a collection of international perspectives on distance learning and distance learning implementations in higher education. The perspectives are presented in the form of practical case studies of distance learning implementations, research studies on teaching and…

Heuristic Evaluation of E-Learning Courses: A Comparative Analysis of Two E-Learning Heuristic Sets

ERIC Educational Resources Information Center

Zaharias, Panagiotis; Koutsabasis, Panayiotis

2012-01-01

Purpose: The purpose of this paper is to discuss heuristic evaluation as a method for evaluating e-learning courses and applications and more specifically to investigate the applicability and empirical use of two customized e-learning heuristic protocols. Design/methodology/approach: Two representative e-learning heuristic protocols were chosen…

Self-Determination, Engagement, and Identity in Learning German: Some Directions in the Psychology of Language Learning Motivation

ERIC Educational Resources Information Center

Noels, Kimberly A.; Chaffee, Kathryn; Lou, Nigel Mantou; Dincer, Ali

2016-01-01

Drawing from Self-Determination Theory and diverse theories of language learning motivation, we present a framework that (1) represents a range of orientations that students may take towards learning German, and (2) explains how these orientations are connected to language learning engagement and diverse linguistic and non-linguistic outcomes. We…

Learning Enhancement for Adults with Disabilities. LEAD 2000 Congress Proceedings (Little Rock, Arkansas, January 29-31, 1993).

ERIC Educational Resources Information Center

University of the Ozarks, Clarksville, AR.

Forty representative learning disabilities specialists from 19 states met to discuss ways of improving the diagnosis, remediation, and counseling of adults with learning disabilities. First, the activities of the Jones Learning Center at the University of the Ozarks regarding diagnosing and mainstreaming college students with learning disabilities…

A Learning Framework for Knowledge Building and Collective Wisdom Advancement in Virtual Learning Communities

ERIC Educational Resources Information Center

Gan, Yongcheng; Zhu, Zhiting

2007-01-01

This study represents an effort to construct a learning framework for knowledge building and collective wisdom advancement in a virtual learning community (VLC) from the perspectives of system wholeness, intelligence wholeness and dynamics, learning models, and knowledge management. It also tries to construct the zone of proximal development (ZPD)…

Modeling and Simulation of An Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning

ERIC Educational Resources Information Center

Al-Hmouz, A.; Shen, Jun; Al-Hmouz, R.; Yan, Jun

2012-01-01

With recent advances in mobile learning (m-learning), it is becoming possible for learning activities to occur everywhere. The learner model presented in our earlier work was partitioned into smaller elements in the form of learner profiles, which collectively represent the entire learning process. This paper presents an Adaptive Neuro-Fuzzy…

Integrating Concept Mapping into Information Systems Education for Meaningful Learning and Assessment

ERIC Educational Resources Information Center

Wei, Wei; Yue, Kwok-Bun

2017-01-01

Concept map (CM) is a theoretically sound yet easy to learn tool and can be effectively used to represent knowledge. Even though many disciplines have adopted CM as a teaching and learning tool to improve learning effectiveness, its application in IS curriculum is sparse. Meaningful learning happens when one iteratively integrates new concepts and…

Multivariate temporal dictionary learning for EEG.

PubMed

Barthélemy, Q; Gouy-Pailler, C; Isaac, Y; Souloumiac, A; Larue, A; Mars, J I

2013-04-30

This article addresses the issue of representing electroencephalographic (EEG) signals in an efficient way. While classical approaches use a fixed Gabor dictionary to analyze EEG signals, this article proposes a data-driven method to obtain an adapted dictionary. To reach an efficient dictionary learning, appropriate spatial and temporal modeling is required. Inter-channels links are taken into account in the spatial multivariate model, and shift-invariance is used for the temporal model. Multivariate learned kernels are informative (a few atoms code plentiful energy) and interpretable (the atoms can have a physiological meaning). Using real EEG data, the proposed method is shown to outperform the classical multichannel matching pursuit used with a Gabor dictionary, as measured by the representative power of the learned dictionary and its spatial flexibility. Moreover, dictionary learning can capture interpretable patterns: this ability is illustrated on real data, learning a P300 evoked potential. Copyright © 2013 Elsevier B.V. All rights reserved.

RESEARCH CONFERENCE ON THE PROBLEM OF DYSLEXIA AND RELATED DISORDERS IN PUBLIC SCHOOLS OF THE UNITED STATES. FINAL REPORT.

ERIC Educational Resources Information Center

ZEDLER, EMPRESS Y.

A CLOSED CONFERENCE ON DYSLEXIA AND RELATED LEARNING DISORDERS WAS HELD AT SOUTHWEST TEXAS STATE COLLEGE ON MAY 15 AND 16, 1967. TWENTY-FIVE PARTICIPANTS REPRESENTED KEY PROFESSIONS AND RELEVANT INTEREST GROUPS, AND 10 OBSERVERS REPRESENTED FEDERAL AGENCIES. WITH RESPECT TO DYSLEXIA AND RELATED LEARNING DISABILITIES, THE CONFEREES ADDRESSED THEIR…

A Review of Integrating Mobile Phones for Language Learning

ERIC Educational Resources Information Center

Darmi, Ramiza; Albion, Peter

2014-01-01

Mobile learning (m-learning) is gradually being introduced in language classrooms. All forms of mobile technology represent portability with smarter features. Studies have proven the concomitant role of technology beneficial for language learning. Various features in the technology have been exploited and researched for acquiring and learning…

A Demographic Survey of Learning Behaviors among American Students

ERIC Educational Resources Information Center

Schaefer, Barbara A.

2004-01-01

A nationally representative survey of students' learning behaviors observed by classroom teachers of 1,500 school-aged American youth is presented. Participants comprised the standardization cohort of the Learning Behaviors Scale (McDermott, Green, Francis, & Stott, 1999) stratified according to the U.S. Census. Base rates of learning behaviors…

Learning Profiles: The Learning Crisis Is Not (Mostly) about Enrollment

ERIC Educational Resources Information Center

Sandefur, Justin; Pritchett, Lant; Beatty, Amanda

2016-01-01

The differential patterns of grade progression have direct implications for the calculation of learning profiles. Researchers measure learning in primary school using survey data on reading and math skills of a nationally representative, population-based sample of children in India, Pakistan, Kenya, Tanzania, and Uganda. Research demonstrates that…

Setting the New Standard with Mobile Computing in Online Learning

ERIC Educational Resources Information Center

Shih, Yuhsun Edward; Mills, Dennis

2007-01-01

Mobile learning represents exciting new frontiers in education and pedagogy. With the features of "wearable" computing and multimedia content delivery via mobile technologies, mobile learning becomes feasible and offers new benefits to instructors and learners. How do mobile technologies influence our teaching and learning in traditional…

Interculturality in an Urban Setting.

ERIC Educational Resources Information Center

Ryan, Phyllis M.

This paper argues that a need exists, especially in urban universities, to focus on attitudes toward foreign language learning (in this case, the learning of English) and toward speakers of the language being learned as well as the cultures represented by its speakers. The concept of interculturality as a goal for learning challenges negative…

A Comparative Analysis of Three Unique Theories of Organizational Learning

ERIC Educational Resources Information Center

Leavitt, Carol C.

2011-01-01

The purpose of this paper is to present three classical theories on organizational learning and conduct a comparative analysis that highlights their strengths, similarities, and differences. Two of the theories -- experiential learning theory and adaptive -- generative learning theory -- represent the thinking of the cognitive perspective, while…

Learning Content and Software Evaluation and Personalisation Problems

ERIC Educational Resources Information Center

Kurilovas, Eugenijus; Serikoviene, Silvija

2010-01-01

The paper aims to analyse several scientific approaches how to evaluate, implement or choose learning content and software suitable for personalised users/learners needs. Learning objects metadata customisation method as well as the Method of multiple criteria evaluation and optimisation of learning software represented by the experts' additive…

Science Integrating Learning Objectives: A Cooperative Learning Group Process

ERIC Educational Resources Information Center

Spindler, Matt

2015-01-01

The integration of agricultural and science curricular content that capitalizes on natural and inherent connections represents a challenge for secondary agricultural educators. The purpose of this case study was to create information about the employment of Cooperative Learning Groups (CLG) to enhance the science integrating learning objectives…

Circle and Lines: Complexities of Learning in Community

ERIC Educational Resources Information Center

Schupack, Sara

2013-01-01

Following is a study that explores learning in community in a fully-integrated, team taught course at a community college in New England. These classes, Learning Communities (LCs) represent rich opportunities for exploring and practicing democratic education. From a theoretical grounding in social learning theories and an exploration into learning…

Learning in networks: individual teacher learning versus organizational learning in a regional health-promoting schools network.

PubMed

Flaschberger, Edith; Gugglberger, Lisa; Dietscher, Christina

2013-12-01

To change a school into a health-promoting organization, organizational learning is required. The evaluation of an Austrian regional health-promoting schools network provides qualitative data on the views of the different stakeholders on learning in this network (steering group, network coordinator and representatives of the network schools; n = 26). Through thematic analysis and deep-structure analyses, the following three forms of learning in the network were identified: (A) individual learning through input offered by the network coordination, (B) individual learning between the network schools, i.e. through exchange between the representatives of different schools and (C) learning within the participating schools, i.e. organizational learning. Learning between (B) or within the participating schools (C) seems to be rare in the network; concepts of individual teacher learning are prevalent. Difficulties detected relating to the transfer of information from the network to the member schools included barriers to organizational learning such as the lack of collaboration, coordination and communication in the network schools, which might be effects of the school system in which the observed network is located. To ensure connectivity of the information offered by the network, more emphasis should be put on linking health promotion to school development and the core processes of schools.

Who is teaching the kids to cook? Results from a nationally representative survey of secondary school students in New Zealand.

PubMed

Utter, Jennifer; Denny, Simon; Lucassen, Mathijs; Dyson, Ben

2016-08-10

Learning how to cook is an important skill for developing healthy eating behaviors. Moreover, involvement in home cooking may offer young people opportunities for skill building, identity development and social engagement with their families. Recently, there have been concerns that the current generation of young people may not have the opportunities to develop sufficient cooking skills. These concerns have been addressed by the initiation of numerous, localized interventions. Yet, little is known about where the current generation of young people learn cooking skills. The objective of this study was to describe where the current generation of young people report learning to cook, drawing on nationally representative data from New Zealand. Data were collected as part of Youth2012, a nationally representative survey of secondary school students (n=8500) in New Zealand. Almost all students reported learning to cook and from multiple sources. Almost all students reported learning to cook from a family member (mother, father, or other family member), approximately 60% of students reported that they learned to cook from certain media (cookbooks, TV, or the Internet) and half of all students reported learning to cook at school. There were numerous differences in where students learned to cook by socio-demographic characteristics. Findings from the current research highlight the important role that families play in teaching young people to cook and will be useful for those working with young people to develop these skills.

The contribution of temporary storage and executive processes to category learning.

PubMed

Wang, Tengfei; Ren, Xuezhu; Schweizer, Karl

2015-09-01

Three distinctly different working memory processes, temporary storage, mental shifting and inhibition, were proposed to account for individual differences in category learning. A sample of 213 participants completed a classic category learning task and two working memory tasks that were experimentally manipulated for tapping specific working memory processes. Fixed-links models were used to decompose data of the category learning task into two independent components representing basic performance and improvement in performance in category learning. Processes of working memory were also represented by fixed-links models. In a next step the three working memory processes were linked to components of category learning. Results from modeling analyses indicated that temporary storage had a significant effect on basic performance and shifting had a moderate effect on improvement in performance. In contrast, inhibition showed no effect on any component of the category learning task. These results suggest that temporary storage and the shifting process play different roles in the course of acquiring new categories. Copyright © 2015 Elsevier B.V. All rights reserved.

Learning Based Bidding Strategy for HVAC Systems in Double Auction Retail Energy Markets

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sun, Yannan; Somani, Abhishek; Carroll, Thomas E.

In this paper, a bidding strategy is proposed using reinforcement learning for HVAC systems in a double auction market. The bidding strategy does not require a specific model-based representation of behavior, i.e., a functional form to translate indoor house temperatures into bid prices. The results from reinforcement learning based approach are compared with the HVAC bidding approach used in the AEP gridSMART® smart grid demonstration project and it is shown that the model-free (learning based) approach tracks well the results from the model-based behavior. Successful use of model-free approaches to represent device-level economic behavior may help develop similar approaches tomore » represent behavior of more complex devices or groups of diverse devices, such as in a building. Distributed control requires an understanding of decision making processes of intelligent agents so that appropriate mechanisms may be developed to control and coordinate their responses, and model-free approaches to represent behavior will be extremely useful in that quest.« less

Aesthetic Learning about, in, with and through the Arts: A Curriculum Study

ERIC Educational Resources Information Center

Lindstrom, Lars

2012-01-01

Aesthetic learning is a major issue in arts education. The "method of art" is often expected to facilitate in-depth learning not only in the arts but across the curriculum. This article defines aesthetic learning in terms of a conceptual framework based on two dimensions, one representing the goal and the other the means of aesthetic learning. The…

Learning Disabilities: Implications for Policy regarding Research and Practice--A Report by the National Joint Committee on Learning Disabilities, March 2011

ERIC Educational Resources Information Center

Learning Disabilities: A Multidisciplinary Journal, 2012

2012-01-01

The National Joint Committee on Learning Disabilities (NJCLD) affirms that the construct of learning disabilities represents a valid, unique, and heterogeneous group of disorders, and that recognition of this construct is essential for sound policy and practice. An extensive body of scientific research on learning disabilities continues to support…

Students' Approaches to Learning in Problem-Based Learning: Taking into Account Professional Behavior in the Tutorial Groups, Self-Study Time, and Different Assessment Aspects

ERIC Educational Resources Information Center

Loyens, Sofie M. M.; Gijbels, David; Coertjens, Liesje; Cote, Daniel J.

2013-01-01

Problem-based learning (PBL) represents a major development in higher educational practice and is believed to promote deep learning in students. However, empirical findings on the promotion of deep learning in PBL remain unclear. The aim of the present study is to investigate the relationships between students' approaches to learning (SAL) and…

20 CFR 404.2015 - Information considered in determining whether to make representative payments.

Code of Federal Regulations, 2011 CFR

2011-04-01

... ADMINISTRATION FEDERAL OLD-AGE, SURVIVORS AND DISABILITY INSURANCE (1950- ) Representative Payment § 404.2015... representative payment we consider the following information: (a) Court determinations. If we learn that a...

20 CFR 404.2015 - Information considered in determining whether to make representative payments.

Code of Federal Regulations, 2010 CFR

2010-04-01

... ADMINISTRATION FEDERAL OLD-AGE, SURVIVORS AND DISABILITY INSURANCE (1950- ) Representative Payment § 404.2015... representative payment we consider the following information: (a) Court determinations. If we learn that a...

Open University Learning Analytics dataset.

PubMed

Kuzilek, Jakub; Hlosta, Martin; Zdrahal, Zdenek

2017-11-28

Learning Analytics focuses on the collection and analysis of learners' data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students' interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license.

Discriminatively learning for representing local image features with quadruplet model

NASA Astrophysics Data System (ADS)

Zhang, Da-long; Zhao, Lei; Xu, Duan-qing; Lu, Dong-ming

2017-11-01

Traditional hand-crafted features for representing local image patches are evolving into current data-driven and learning-based image feature, but learning a robust and discriminative descriptor which is capable of controlling various patch-level computer vision tasks is still an open problem. In this work, we propose a novel deep convolutional neural network (CNN) to learn local feature descriptors. We utilize the quadruplets with positive and negative training samples, together with a constraint to restrict the intra-class variance, to learn good discriminative CNN representations. Compared with previous works, our model reduces the overlap in feature space between corresponding and non-corresponding patch pairs, and mitigates margin varying problem caused by commonly used triplet loss. We demonstrate that our method achieves better embedding result than some latest works, like PN-Net and TN-TG, on benchmark dataset.

Open University Learning Analytics dataset

PubMed Central

Kuzilek, Jakub; Hlosta, Martin; Zdrahal, Zdenek

2017-01-01

Learning Analytics focuses on the collection and analysis of learners’ data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students’ interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license. PMID:29182599

Exploring How Creating Stop-Motion Animations Supports Student Teachers in Learning to Teach Science

ERIC Educational Resources Information Center

Wishart, Jocelyn

2017-01-01

This article reports on an exploration of teaching and learning through creating rudimentary stop-motion animations set up to identify how learning opportunities involving stop-motion animations can support student learning and science teacher education. Participants were student teachers, volunteers representing both secondary and primary school…

Outcomes of an Academic Service-Learning Project on Four Urban Community Colleges

ERIC Educational Resources Information Center

Greenwood, Debra Abston

2015-01-01

Service-learning has a rich history in higher education, with a multitude of studies indicating positive learning, community engagement, and moral development outcomes of student participants. The majority of the research findings, however, have represented four-year colleges. And while there are limited outcome studies of service-learning in…

Perceptions of Career Development Learning and Work-Integrated Learning in Australian Higher Education

ERIC Educational Resources Information Center

McIlveen, Peter; Brooks, Sally; Lichtenberg, Anna; Smith, Martin; Torjul, Peter; Tyler, Joanne

2011-01-01

This paper is a report on the perceived correspondence between career development learning and work-integrated learning programs that were delivered by career services in Australian higher education institutions. The study entailed a questionnaire survey of representatives of university career services. The questionnaire dealt with the extent to…

What Affect Student Cognitive Style in the Development of Hypermedia Learning System?

ERIC Educational Resources Information Center

Lee, Catherine Hui Min; Cheng, Yuk Wing; Rai, Shri; Depickere, Arnold

2005-01-01

Recent developments in learning technology such as hypermedia is becoming widespread and offer significant contribution to improve the delivery of learning and teaching materials. A key factor in the development of hypermedia learning system is cognitive style (CS) as it relates to users' information processing habits, representing individual…

Service Learning Inputs and Outcomes in a Personal Selling Course

ERIC Educational Resources Information Center

Hagenbuch, David J.

2006-01-01

To improve the use of service learning in the marketing curriculum, Petkus (2000) recommended that future research focus on empirical studies of service learning in specific marketing courses. Personal selling represents a key component of marketing that is quite amenable to service learning, yet very little research has examined the use of…

Evaluating a Proposed Learning Experience in Terms of Eight Learning Theories.

ERIC Educational Resources Information Center

Abram, Marie J.

The work of eight learning theorists was used to evaluate a proposed adult education/learning experience in an effort to operationalize a system for locating strengths and weaknesses in an instructional system prior to its implementation. Thirty-five implications for adult education were extrapolated from work representing the Behaviorist (B.F.…

Collective Machine Learning: Team Learning and Classification in Multi-Agent Systems

ERIC Educational Resources Information Center

Gifford, Christopher M.

2009-01-01

This dissertation focuses on the collaboration of multiple heterogeneous, intelligent agents (hardware or software) which collaborate to learn a task and are capable of sharing knowledge. The concept of collaborative learning in multi-agent and multi-robot systems is largely under studied, and represents an area where further research is needed to…

Conceptual Learning in Social Studies Classroom: An Analysis of Texas Assessment of Knowledge and Skills (TAKS) Social Studies Questions with and without Concept

ERIC Educational Resources Information Center

Kilinc, Emin

2012-01-01

We are living in a conceptual world which we build through both informal and systematic interaction. Concepts enable us to simplify and organize our environment and communicate efficiently with others. The learning of concepts is represented by a general idea, usually expressed by a word, which represent a class or group of things or actions…

Learning as a Problem Solving Tool. Technical Report CS74018-R.

ERIC Educational Resources Information Center

Claybrook, Billy G.

This paper explores the use of learning as a practical tool in problem solving. The idea that learning should and eventually will be a vital component of most Artificial Intelligence programs is pursued. Current techniques in learning systems are compared. A detailed discussion of the problems of representing, modifying, and creating heuristics is…

Using Active-Learning Pedagogy to Develop Essay-Writing Skills in Introductory Political Theory Tutorials

ERIC Educational Resources Information Center

Murphy, Michael P. A.

2017-01-01

Building on prior research into active learning pedagogy in political science, I discuss the development of a new active learning strategy called the "thesis-building carousel," designed for use in political theory tutorials. This use of active learning pedagogy in a graduate student-led political theory tutorial represents the overlap…

The New Generation of Auditors Meeting Praxis: Dual Learning's Role in Audit Students' Professional Development

ERIC Educational Resources Information Center

Agevall, Lena; Broberg, Pernilla; Umans, Timurs

2018-01-01

This paper explores whether and in what way "dual learning" can develop understanding of the relationship between structure/judgement and explores audit student's perceptions of the audit profession. The Work Integrated Learning (WIL) module, serving as a tool of enabling dual learning, represents the context for this exploration. The…

A Primer on the Statistical Modelling of Learning Curves in Health Professions Education

ERIC Educational Resources Information Center

Pusic, Martin V.; Boutis, Kathy; Pecaric, Martin R.; Savenkov, Oleksander; Beckstead, Jason W.; Jaber, Mohamad Y.

2017-01-01

Learning curves are a useful way of representing the rate of learning over time. Features include an index of baseline performance (y-intercept), the efficiency of learning over time (slope parameter) and the maximal theoretical performance achievable (upper asymptote). Each of these parameters can be statistically modelled on an individual and…

Self-Schemas, Motivational Strategies and Self-Regulated Learning.

ERIC Educational Resources Information Center

Garcia, Teresa; Pintrich, Paul R.

Self-regulated learning is usually viewed as the fusion of skill and will, referring to the students' development of different learning strategies in service of their goals. This definition is expanded in a study of self-schemas as a means of representing multiple goals for learning. Measures of self-schemas were used with 151 seventh graders (86…

Learning Commons in Academic Libraries: Discussing Themes in the Literature from 2001 to the Present

ERIC Educational Resources Information Center

Blummer, Barbara; Kenton, Jeffrey M.

2017-01-01

Although the term lacks a standard definition, learning commons represent academic library spaces that provide computer and library resources as well as a range of academic services that support learners and learning. Learning commons have been equated to a laboratory for creating knowledge and staffed with librarians that serve as facilitators of…

Insights from Students' Private Work in Their Notebooks: How Do Students Learn from the Teacher's Examples?

ERIC Educational Resources Information Center

Yau, King Woon; Mok, Ida Ah Chee

2016-01-01

Students' seatwork plays an important part in their learning in their lessons, and very often, students record their private work in the notebooks during seatwork. The students' private work in their notebooks reflects students' learning and thinking, representing explicit learning outcomes. The students' private work in their notebooks of 14…

Educational Application of Dialogue System To Support e-Learning.

ERIC Educational Resources Information Center

Kim, Youn-Gi; Lee, Chul-Hwan; Han, Sun-Gwan

This study is on the design and implementation of an educational dialogue system to support e-learning. The learning domain to apply the dialogue system used the subject of geometry. The knowledge in the dialogue-based system for learning geometry was created and represented by XML-based AIML. The implemented system in this study can understand…

How to Represent Adaptation in e-Learning with IMS Learning Design

ERIC Educational Resources Information Center

Burgos, Daniel; Tattersall, Colin; Koper, Rob

2007-01-01

Adaptation in e-learning has been an important research topic for the last few decades in computer-based education. In adaptivity the behaviour of the user triggers some actions in the system that guides the learning process. In adaptability, the user makes changes and takes decisions. Progressing from computer-based training and adaptive…

The Impact of Homogeneous vs. Heterogeneous Collaborative Learning Groups in Multicultural Classes on the Achievement and Attitudes of Nine Graders towards Learning Science

ERIC Educational Resources Information Center

Faris, Ahmed O.

2009-01-01

The current study aims at investigating the impact of homogeneous versus heterogeneous collaborative learning grouping in multicultural classes on the students' achievements and attitudes towards learning science. In the present study, heterogeneity was unpacked through two dimensions: the cultural background, represented by the different…

Visual and Auditory Learning Processes in Normal Children and Children with Specific Learning Disabilities. Final Report.

ERIC Educational Resources Information Center

McGrady, Harold J.; Olson, Don A.

To describe and compare the psychosensory functioning of normal children and children with specific learning disabilities, 62 learning disabled and 68 normal children were studied. Each child was given a battery of thirteen subtests on an automated psychosensory system representing various combinations of auditory and visual intra- and…

A New Learning Model on Physical Education: 5E Learning Cycle

ERIC Educational Resources Information Center

Senturk, Halil Evren; Camliyer, Huseyin

2016-01-01

Many fields of education at the moment, especially in physical and technological educations, use 5E learning cycle. The process is defined as five "E"s. These represent the verbs engage, explore, explain, elaborate and evaluate. The literature has been systematically reviewed and the results show that the 5E learning cycle is an untested…

Shades of Pink: Preschoolers Make Meaning in a Reggio-Inspired Classroom

ERIC Educational Resources Information Center

Kim, Bo Sun

2012-01-01

Shades of Pink study describes how six preschoolers and their teacher engaged in a collaborative learning project through which they learned about the shades of a color--in this case, pink. As the children learned through experimenting and discussing their theories, they represented ideas using art as a tool for discovery and learning. The study…

20 CFR 404.2050 - When will we select a new representative payee for you?

Code of Federal Regulations, 2010 CFR

2010-04-01

...-AGE, SURVIVORS AND DISABILITY INSURANCE (1950- ) Representative Payment § 404.2050 When will we select a new representative payee for you? When we learn that your interest is not served by sending your...

20 CFR 404.2050 - When will we select a new representative payee for you?

Code of Federal Regulations, 2011 CFR

2011-04-01

...-AGE, SURVIVORS AND DISABILITY INSURANCE (1950- ) Representative Payment § 404.2050 When will we select a new representative payee for you? When we learn that your interest is not served by sending your...

Learning Communities and the Completion Agenda

ERIC Educational Resources Information Center

Johnson, Kathy E.

2013-01-01

Learning communities are widely recognized as a powerful pedagogy that promotes deep learning and student engagement, while also addressing a range of challenges that plague higher education. The Completion Agenda represents a complex set of intersecting priorities advocated by federal and state government, nonprofit organizations, colleges, and…

Basic Visual Processes and Learning Disability.

ERIC Educational Resources Information Center

Leisman, Gerald

Representatives of a variety of disciplines concerned with either clinical or research problems in vision and learning disabilities present reviews and reports of relevant research and clinical approaches. Contributions are organized into four broad sections: basic processes, specific disorders, diagnosis of visually based problems in learning,…

Globalisation, Consumption and the Learning Business.

ERIC Educational Resources Information Center

Field, John

1995-01-01

Distance open learning represents both an outcome of and a primary factor in globalization. Despite investment in infrastructure, software, and human resources, demand for distance open learning in the European market remains constrained. The European Union's policies conceptualize a "European economic space" that ignores the real…

A Review of Two Distance Learning Books [book review].

ERIC Educational Resources Information Center

Koszalka, Tiffany A.; Spector, J. Michael

2003-01-01

Reviews two books that are representative of the substantive books aimed at those who wish to design effective distance learning. Together these books provide a reasonably complete perspective on how to design effective distance learning. They have many strengths, and few weaknesses. (SLD)

Personality, Organizational Orientations and Self-Reported Learning Outcomes

ERIC Educational Resources Information Center

Bamber, David; Castka, Pavel

2006-01-01

Purpose: To identify competencies connecting personality, organizational orientations and self-reported learning outcomes (as measured by concise Likert-type scales), for individuals who are learning for their organizations. Design/methodology/approach: Five concise factor scales were constructed to represent aspects of personality. Three further…

43 CFR 26.3 - Program purpose and objectives.

Code of Federal Regulations, 2011 CFR

2011-10-01

... interaction and group learning (e.g., evening cookouts, overnight or weekend camping). (4) An enrollment of sufficient size (not less than 10 enrollees) that will permit social interaction and group learning. The...' representatives, the following characteristics: (1) A properly balanced and integrated environmental work-learning...

Perspectives in Individualized Learning.

ERIC Educational Resources Information Center

Weisgerber, Robert A.

The readings presented here are an analysis of selected factors underlying the process of individualized learning. The book is organized topically and moves from theoretical considerations toward an analysis of important educational components. The readings come from a cross section of experts representing the areas of learning theory, individual…

Cooperative Learning as a Tool To Teach Vertebrate Anatomy.

ERIC Educational Resources Information Center

Koprowski, John L.; Perigo, Nan

2000-01-01

Describes a method for teaching biology that includes more investigative exercises that foster an environment for cooperative learning in introductory laboratories that focus on vertebrates. Fosters collaborative learning by facilitating interaction between students as they become experts on their representative vertebrate structures. (SAH)

Experimental Machine Learning of Quantum States

NASA Astrophysics Data System (ADS)

Gao, Jun; Qiao, Lu-Feng; Jiao, Zhi-Qiang; Ma, Yue-Chi; Hu, Cheng-Qiu; Ren, Ruo-Jing; Yang, Ai-Lin; Tang, Hao; Yung, Man-Hong; Jin, Xian-Min

2018-06-01

Quantum information technologies provide promising applications in communication and computation, while machine learning has become a powerful technique for extracting meaningful structures in "big data." A crossover between quantum information and machine learning represents a new interdisciplinary area stimulating progress in both fields. Traditionally, a quantum state is characterized by quantum-state tomography, which is a resource-consuming process when scaled up. Here we experimentally demonstrate a machine-learning approach to construct a quantum-state classifier for identifying the separability of quantum states. We show that it is possible to experimentally train an artificial neural network to efficiently learn and classify quantum states, without the need of obtaining the full information of the states. We also show how adding a hidden layer of neurons to the neural network can significantly boost the performance of the state classifier. These results shed new light on how classification of quantum states can be achieved with limited resources, and represent a step towards machine-learning-based applications in quantum information processing.

Dimension Reduction With Extreme Learning Machine.

PubMed

Kasun, Liyanaarachchi Lekamalage Chamara; Yang, Yan; Huang, Guang-Bin; Zhang, Zhengyou

2016-08-01

Data may often contain noise or irrelevant information, which negatively affect the generalization capability of machine learning algorithms. The objective of dimension reduction algorithms, such as principal component analysis (PCA), non-negative matrix factorization (NMF), random projection (RP), and auto-encoder (AE), is to reduce the noise or irrelevant information of the data. The features of PCA (eigenvectors) and linear AE are not able to represent data as parts (e.g. nose in a face image). On the other hand, NMF and non-linear AE are maimed by slow learning speed and RP only represents a subspace of original data. This paper introduces a dimension reduction framework which to some extend represents data as parts, has fast learning speed, and learns the between-class scatter subspace. To this end, this paper investigates a linear and non-linear dimension reduction framework referred to as extreme learning machine AE (ELM-AE) and sparse ELM-AE (SELM-AE). In contrast to tied weight AE, the hidden neurons in ELM-AE and SELM-AE need not be tuned, and their parameters (e.g, input weights in additive neurons) are initialized using orthogonal and sparse random weights, respectively. Experimental results on USPS handwritten digit recognition data set, CIFAR-10 object recognition, and NORB object recognition data set show the efficacy of linear and non-linear ELM-AE and SELM-AE in terms of discriminative capability, sparsity, training time, and normalized mean square error.

Conversational Agents in E-Learning

NASA Astrophysics Data System (ADS)

Kerry, Alice; Ellis, Richard; Bull, Susan

This paper discusses the use of natural language or 'conversational' agents in e-learning environments. We describe and contrast the various applications of conversational agent technology represented in the e-learning literature, including tutors, learning companions, language practice and systems to encourage reflection. We offer two more detailed examples of conversational agents, one which provides learning support, and the other support for self-assessment. Issues and challenges for developers of conversational agent systems for e-learning are identified and discussed.

Individual variability in visual discrimination and reversal learning performance in common marmosets.

PubMed

Takemoto, Atsushi; Miwa, Miki; Koba, Reiko; Yamaguchi, Chieko; Suzuki, Hiromi; Nakamura, Katsuki

2015-04-01

Detailed information about the characteristics of learning behavior in marmosets is useful for future marmoset research. We trained 42 marmosets in visual discrimination and reversal learning. All marmosets could learn visual discrimination, and all but one could complete reversal learning, though some marmosets failed to touch the visual stimuli and were screened out. In 87% of measurements, the final percentage of correct responses was over 95%. We quantified performance with two measures: onset trial and dynamic interval. Onset trial represents the number of trials that elapsed before the marmoset started to learn. Dynamic interval represents the number of trials from the start before reaching the final percentage of correct responses. Both measures decreased drastically as a result of the formation of discrimination learning sets. In reversal learning, both measures worsened, but the effect on onset trial was far greater. The effects of age and sex were not significant as far as we used adolescent or young adult marmosets. Unexpectedly, experimental circumstance (in the colony or isolator) had only a subtle effect on performance. However, we found that marmosets from different families exhibited different learning process characteristics, suggesting some family effect on learning. Copyright © 2014 Elsevier Ireland Ltd and the Japan Neuroscience Society. All rights reserved.

How Effective Is Example Generation for Learning Declarative Concepts?

ERIC Educational Resources Information Center

Rawson, Katherine A.; Dunlosky, John

2016-01-01

Declarative concepts (i.e., key terms and corresponding definitions for abstract concepts) represent foundational knowledge that students learn in many content domains. Thus, investigating techniques to enhance concept learning is of critical importance. Various theoretical accounts support the expectation that example generation will serve this…

Learning Motivation from a Cross-Cultural Perspective: A Moving Target?

ERIC Educational Resources Information Center

Täht, Karin; Must, Olev; Peets, Kätlin; Kattel, Rainer

2014-01-01

This paper investigates the relationship between educational achievement and the motivation to learn. We used the 2006 Programme for International Student Assessment (PISA) that contains representative samples from 55 nations. A strong negative correlation between educational achievement and motivation toward science learning emerged at the…

Building Student Trust in Online Learning Environments

ERIC Educational Resources Information Center

Wang, Ye Diana

2014-01-01

As online learning continues to gain widespread attention and thrive as a legitimate alternative to classroom instruction, educational institutions and online instructors face the challenge of building and sustaining student trust in online learning environments. The present study represents an attempt to address the challenge by identifying the…

Lifelong Learning: Emergent Enactments

ERIC Educational Resources Information Center

Edwards, Richard

2010-01-01

This article represents four emergences through which to explore the significance of lifelong learning. Drawing in particular on complexity theory and actor-network theory, it seeks to develop an understanding of the reductions and emergences, and purifications and translations to which lifelong learning is subject. To do this, the article also…

Self-organizing maps for learning the edit costs in graph matching.

PubMed

Neuhaus, Michel; Bunke, Horst

2005-06-01

Although graph matching and graph edit distance computation have become areas of intensive research recently, the automatic inference of the cost of edit operations has remained an open problem. In the present paper, we address the issue of learning graph edit distance cost functions for numerically labeled graphs from a corpus of sample graphs. We propose a system of self-organizing maps (SOMs) that represent the distance measuring spaces of node and edge labels. Our learning process is based on the concept of self-organization. It adapts the edit costs in such a way that the similarity of graphs from the same class is increased, whereas the similarity of graphs from different classes decreases. The learning procedure is demonstrated on two different applications involving line drawing graphs and graphs representing diatoms, respectively.

Research on knowledge representation, machine learning, and knowledge acquisition

NASA Technical Reports Server (NTRS)

Buchanan, Bruce G.

1987-01-01

Research in knowledge representation, machine learning, and knowledge acquisition performed at Knowledge Systems Lab. is summarized. The major goal of the research was to develop flexible, effective methods for representing the qualitative knowledge necessary for solving large problems that require symbolic reasoning as well as numerical computation. The research focused on integrating different representation methods to describe different kinds of knowledge more effectively than any one method can alone. In particular, emphasis was placed on representing and using spatial information about three dimensional objects and constraints on the arrangement of these objects in space. Another major theme is the development of robust machine learning programs that can be integrated with a variety of intelligent systems. To achieve this goal, learning methods were designed, implemented and experimented within several different problem solving environments.

New Innovations and Best Practices under the Workforce Investment Act. Hearing before the U.S. House of Representatives, Subcommittee on Higher Education, Lifelong Learning, and Competitiveness, Committee on Education and Labor (February 12, 2009)

ERIC Educational Resources Information Center

US House of Representatives, 2009

2009-01-01

This Subcommittee on Higher Education, Lifelong Learning, and Competitiveness hearing on "New Innovations and Best Practices under the Work-force Investment Act," better known as WIA, is about the reauthorization of the Workforce Investment Act. Members testifying before the Committee were the Honorable Jason Altmire, a Representative in…

Understanding Student Success and Institutional Outcomes in Service-Learning Coursework at a North Carolina Community College: A Propensity Score Study

ERIC Educational Resources Information Center

Marts, Jennifer Leigh

2016-01-01

Service-learning has roots deep in higher education. Community colleges and service-learning have an organic relationship as they both strive to represent and support their local communities. This study implemented propensity score matching to study the impact of service-learning on student outcomes for community college students. Much of the…

A Vision of E-Learning for America's Workforce: Report of the Commission on Technology and Adult Learning.

ERIC Educational Resources Information Center

American Society for Training and Development, Alexandria, VA.

In 2000, the American Society for Training and Development and the National Governors Association convened the Commission on Technology and Adult Learning. The 31-member commission included representatives of the business, government, and education sectors. They formulated a vision for the future of e-learning in the United States and identified…

Effectiveness of a Mobile Plant Learning System in a Science Curriculum in Taiwanese Elementary Education

ERIC Educational Resources Information Center

Huang, Yueh-Min; Lin, Yen-Ting; Cheng, Shu-Chen

2010-01-01

This study developed a Mobile Plant Learning System (MPLS) that provides instructors with the ways and means to facilitate student learning in an elementary-school-level botany course. The MPLS represented in this study was implemented to address problems that arise with the use of a didactic approach to teaching and learning botany, as is…

Exploring the Impact of Engaged Teachers on Implementation Fidelity and Reading Skill Gains in a Blended Learning Reading Program

ERIC Educational Resources Information Center

Schechter, Rachel L.; Kazakoff, Elizabeth R.; Bundschuh, Kristine; Prescott, Jen Elise; Macaruso, Paul

2017-01-01

The number of K-12 classrooms adopting blended learning models is rapidly increasing and represents a cultural shift in teaching and learning; however, fidelity of implementation of these new blended learning programs varies widely. This study aimed to examine the role of teacher engagement in student motivation and achievement in a blended…

Evolutionary model with genetics, aging, and knowledge

NASA Astrophysics Data System (ADS)

Bustillos, Armando Ticona; de Oliveira, Paulo Murilo

2004-02-01

We represent a process of learning by using bit strings, where 1 bits represent the knowledge acquired by individuals. Two ways of learning are considered: individual learning by trial and error, and social learning by copying knowledge from other individuals or from parents in the case of species with parental care. The age-structured bit string allows us to study how knowledge is accumulated during life and its influence over the genetic pool of a population after many generations. We use the Penna model to represent the genetic inheritance of each individual. In order to study how the accumulated knowledge influences the survival process, we include it to help individuals to avoid the various death situations. Modifications in the Verhulst factor do not show any special feature due to its random nature. However, by adding years to life as a function of the accumulated knowledge, we observe an improvement of the survival rates while the genetic fitness of the population becomes worse. In this latter case, knowledge becomes more important in the last years of life where individuals are threatened by diseases. Effects of offspring overprotection and differences between individual and social learning can also be observed. Sexual selection as a function of knowledge shows some effects when fidelity is imposed.

On the Road to Graphicacy: The Learning of Graphical Representation Systems

ERIC Educational Resources Information Center

Postigo, Yolanda; Pozo, Juan Ignacio

2004-01-01

This article examines the learning of different types of graphic information by subjects with different levels of education and knowledge of the content represented. Three levels of graphic information learning were distinguished (explicit, implicit, and conceptual information processing) and two experiments were conducted, looking at graph and…

Professional Learning as a Predictor for Instructional Quality: A Secondary Analysis of TALIS

ERIC Educational Resources Information Center

Dogan, Selçuk; Yurtseven, Nihal

2018-01-01

The purpose of this study is to examine the effect of teachers' professional learning opportunities on instructional quality, which represents a combined approach of behaviorist, cognitivist, and constructivist principles in teaching. We incorporated professional learning communities (PLCs), professional development (PD) days, as well as 3 PD…

Participation in Learning and Depressive Symptoms

ERIC Educational Resources Information Center

Jenkins, Andrew

2012-01-01

This paper reports the findings of research on relationships between depression and participation in learning using data from a large sample of older adults. The objective was to establish whether learning can reduce the risk of depression. Data were obtained from the English Longitudinal Study of Ageing, a nationally-representative sample of…

Hybrid Learning at the Community College

ERIC Educational Resources Information Center

Snart, Jason

2017-01-01

This chapter discusses how the community college represents a potentially ideal educational setting for hybrid learning to thrive. The multimodal nature of hybrids, combining both online and face-to-face learning, affords the opportunity to engage students in a variety of ways. Further, many community college students can benefit from the…

Informal Learning and Non-Formal Education for Development

ERIC Educational Resources Information Center

Latchem, Colin

2014-01-01

The following article examines the issues of open, distance and technology-based informal learning and non-formal education for individual and community development. It argues that these two modes of education, which are estimated to constitute 70-90% of lifelong learning, are insufficiently represented in the literature of open and distance…

Improving Collaborative Learning in the Classroom: Text Mining Based Grouping and Representing

ERIC Educational Resources Information Center

Erkens, Melanie; Bodemer, Daniel; Hoppe, H. Ulrich

2016-01-01

Orchestrating collaborative learning in the classroom involves tasks such as forming learning groups with heterogeneous knowledge and making learners aware of the knowledge differences. However, gathering information on which the formation of appropriate groups and the creation of graphical knowledge representations can be based is very effortful…

Pointer Animation Implementation at Development of Multimedia Learning of Java Programming

ERIC Educational Resources Information Center

Rusli, Muhammad; Atmojo, Yohanes Priyo

2015-01-01

This research represents the development research using the references of previous research results related to the development of interactive multimedia learning (learner controlled), specially about the effectiveness and efficiency of multimedia learning of a content that developed by pointer animation implementation showing the content in…

Real-Time Collaboration of Virtual Laboratories through the Internet

ERIC Educational Resources Information Center

Jara, Carlos A.; Candelas, Francisco A.; Torres, Fernando; Dormido, Sebastian; Esquembre, Francisco; Reinoso, Oscar

2009-01-01

Web-based learning environments are becoming increasingly popular in higher education. One of the most important web-learning resources is the virtual laboratory (VL), which gives students an easy way for training and learning through the Internet. Moreover, on-line collaborative communication represents a practical method to transmit the…

The Effect of Scaffolded Strategies on Content Learning in a Designed Science Cyberlearning Environment

ERIC Educational Resources Information Center

Kern, Cynthia Lee

2013-01-01

Scientific inscriptions--graphs, diagrams, and data--and argumentation are integral to generating and communicating scientific understanding. Scientific inscriptions and argumentation are also important to learning science. However, previous research has indicated that learners struggle to understand and learn science content represented in…

Introduction: The Prospects for Mobile Learning

ERIC Educational Resources Information Center

Traxler, John; Vosloo, Steve

2014-01-01

The issue that this article introduces grew out of an event, the UNESCO Mobile Learning Week, but also out of a wider and growing movement of people and organisations exploiting mobile technologies, as they pursue varied educational missions. The UNESCO Mobile Learning Week represented by contributions here was a focus for contributions from…

Adult Learning Projects Related to Spiritual Growth.

ERIC Educational Resources Information Center

Wickett, R.E.Y.

A study examined significant deliberate learning activities (as demonstrated in learning projects) which were related to spiritual growth. (Spiritual growth was defined in broad terms within which each interviewee interpreted his or her own concept.) Fifty persons between the ages of thirty-five and fifty-five and representing five groups (three…

Intellectual Estuaries: Connecting Learning and Creativity in Programs of Advanced Academics

ERIC Educational Resources Information Center

Beghetto, Ronald A.; Kaufman, James C.

2009-01-01

Academic learning and creativity should be overlapping goals that can be simultaneously pursued in programs of advanced academics. However, efforts aimed at nurturing creativity and academic learning sometimes are represented as two related but separate paths; this separation is unnecessary and can undermine the development of creative and…

Group Formation in Mobile Computer Supported Collaborative Learning Contexts: A Systematic Literature Review

ERIC Educational Resources Information Center

Amara, Sofiane; Macedo, Joaquim; Bendella, Fatima; Santos, Alexandre

2016-01-01

Learners are becoming increasingly divers. They may have much personal, social, cultural, psychological, and cognitive diversity. Forming suitable learning groups represents, therefore, a hard and time-consuming task. In Mobile Computer Supported Collaborative Learning (MCSCL) environments, this task is more difficult. Instructors need to consider…

Ways of Learning in the Pharmaceutical Sales Industry

ERIC Educational Resources Information Center

Hunter, Carrie Patricia

2010-01-01

Purpose: The purpose of this paper is to document the ways pharmaceutical representatives learn for work and report attributes of (in)formality and other characteristics of ways of learning perceived as effective and frequently used. Design/methodology/approach: A total of agents 20 from 11 pharmaceutical manufacturers across Canada participated…

Economics and Finance of Lifelong Learning.

ERIC Educational Resources Information Center

Verry, Donald

This book represents one result of the international conference on "Lifelong Learning as an Affordable Investment," held December 6-8, 2000 in Ottawa, Canada. It examines the economic and financial issues that arise in implementing lifelong learning and considers how the public and private sectors are actually addressing or might address…

Corpus Use in Language Learning: A Meta-Analysis

ERIC Educational Resources Information Center

Boulton, Alex; Cobb, Tom

2017-01-01

This study applied systematic meta-analytic procedures to summarize findings from experimental and quasi-experimental investigations into the effectiveness of using the tools and techniques of corpus linguistics for second language learning or use, here referred to as data-driven learning (DDL). Analysis of 64 separate studies representing 88…

Remote Labs and Game-Based Learning for Process Control

ERIC Educational Resources Information Center

Zualkernan, Imran A.; Husseini, Ghaleb A.; Loughlin, Kevin F.; Mohebzada, Jamshaid G.; El Gaml, Moataz

2013-01-01

Social networking platforms and computer games represent a natural informal learning environment for the current generation of learners in higher education. This paper explores the use of game-based learning in the context of an undergraduate chemical engineering remote laboratory. Specifically, students are allowed to manipulate chemical…

Characterising Work-Based Learning as a Triadic Learning Endeavour

ERIC Educational Resources Information Center

Dalrymple, Roger; Kemp, Chris; Smith, Patrick

2014-01-01

With work-based learning (WBL) forming an increasingly prevalent dimension of modern higher education practice, conceptual models of the pedagogies underpinning WBL are increasingly emerging. There is broadening recognition of the need to capture and represent the values and presuppositions underlying WBL in order to support facilitators and…

Learning through Experience: The Transition from Doctoral Student to Social Work Educator

ERIC Educational Resources Information Center

Oktay, Julianne S.; Jacobson, Jodi M.; Fisher, Elizabeth

2013-01-01

The researchers conducted an exploratory study using grounded theory qualitative research methods to examine experiences of social work doctoral students as they learned to teach ("N"?=?14). A core category, "learning through experience," representing a basic social process, was identified. The doctoral students experienced…

Capturing Teachers' Experience of Learning Design through Case Studies

ERIC Educational Resources Information Center

Masterman, Elizabeth; Jameson, Jill; Walker, Simon

2009-01-01

This article distinguishes three dimensions to learning design: a technological infrastructure, a conceptual framework for practice that focuses on the creation of structured sequences of learning activities, and a way to represent and share practice through the use of mediating artefacts. Focusing initially on the second of these dimensions, the…

Body in Mind: How Gestures Empower Foreign Language Learning

ERIC Educational Resources Information Center

Macedonia, Manuela; Knosche, Thomas R.

2011-01-01

It has previously been demonstrated that enactment (i.e., performing representative gestures during encoding) enhances memory for concrete words, in particular action words. Here, we investigate the impact of enactment on abstract word learning in a foreign language. We further ask if learning novel words with gestures facilitates sentence…

Adaptations to a Learning Resource

ERIC Educational Resources Information Center

Libbrecht, Paul

2015-01-01

Learning resources have been created to represent digital units of exchangeable materials that teachers and learners can pull from in order to support the learning processes. They resource themselves. Leveraging the web, one can often find these resources. But what characteristics do they need in order to be easily exchangeable? Although several…

Research on English Teaching and Learning: Taiwan (2004-2009)

ERIC Educational Resources Information Center

Chen, Suchiao; Tsai, Yachin

2012-01-01

This article analyzes research in second/foreign language teaching and learning conducted in Taiwan over the period 2004-2009. Representative articles published in local refereed journals and conference proceedings--not readily accessible outside Taiwan--are reviewed to reflect current trends in English teaching and learning. The main themes…

The Characteristics of Resiliency Development and Adult Learning: Examining Teacher Perspective through Narrative Inquiry

ERIC Educational Resources Information Center

Painter, Rachel L.

2013-01-01

Originating from the literature on resiliency, adult learning, and professional development, this qualitative study investigated how the relationship between resiliency and adult learning influenced professional development in one suburban-rural school district in Litchfield County, Connecticut. Data represent findings on the perceptions of…

When Average Is Not Good Enough: Students with Learning Disabilities at Selective, Private Colleges

ERIC Educational Resources Information Center

Weis, Robert; Erickson, Celeste P.; Till, Christina H.

2017-01-01

Adolescents with learning disabilities disproportionately come from lower socioeconomic status backgrounds, show normative deficits in academic skills, and attend 2-year, public colleges instead of 4-year institutions. However, students with learning disabilities are well represented at the United States' most expensive and selective postsecondary…

Adaptive versus Learner Control in a Multiple Intelligence Learning Environment

ERIC Educational Resources Information Center

Kelly, Declan

2008-01-01

Within the field of technology enhanced learning, adaptive educational systems offer an advanced form of learning environment that attempts to meet the needs of different students. Such systems capture and represent, for each student, various characteristics such as knowledge and traits in an individual learner model. Subsequently, using the…

Enhancing Students' Language Skills through Blended Learning

ERIC Educational Resources Information Center

Banditvilai, Choosri

2016-01-01

This paper presents a case study of using blended learning to enhance students' language skills and learner autonomy in an Asian university environment. Blended learning represents an educational environment for much of the world where computers and the Internet are readily available. It combines self-study with valuable face-to-face interaction…

Educating Minds and Hearts: Social Emotional Learning and the Passage into Adolescence. Series on Social Emotional Learning.

ERIC Educational Resources Information Center

Cohen, Jonathan, Ed.

Based on the view that social and emotional learning (SEL) needs to be an integral part of middle school education, this book provides an overview to social and emotional learning and the development of middle school students, presents a representative range of SEL programs and perspectives, and offers reflections on the current status of SEL and…

A Guide to the Literature on Learning Graphical Models

NASA Technical Reports Server (NTRS)

Buntine, Wray L.; Friedland, Peter (Technical Monitor)

1994-01-01

This literature review discusses different methods under the general rubric of learning Bayesian networks from data, and more generally, learning probabilistic graphical models. Because many problems in artificial intelligence, statistics and neural networks can be represented as a probabilistic graphical model, this area provides a unifying perspective on learning. This paper organizes the research in this area along methodological lines of increasing complexity.

E-Learn 2002 World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education. Proceedings (7th, Montreal, Quebec, Canada, October 15-19, 2002).

ERIC Educational Resources Information Center

Driscoll, Margaret, Ed.; Reeves, Thomas C., Ed.

The 7th annual E-Learn world conference on e-learning in corporate, government, healthcare, and higher education organized by the Association for the Advancement of Computing in Education (AACE) includes more than 600 papers. Papers from this proceedings come from contributors representing more than 50 countries, sharing their perspectives and…

Networked Learning 2000: Innovative Approaches to Lifelong Learning and Higher Education through the Internet. Proceedings of the International Conference (2nd, Lancaster, England, April 17-19, 2000).

ERIC Educational Resources Information Center

Asensio, Mireia, Ed.; Foster, Jonathan, Ed.; Hodgson, Vivien, Ed.; McConnell, David, Ed.

This document contains 59 papers presented at a conference in England on approaches to lifelong learning and higher education through the Internet. Representative papers include the following: "The University of the Highlands and Islands Project: A Model for Networked Learning?" (Veronica Adamson, Jane Plenderleith); "The Costs of…

Factors Contributing to Changes in a Deep Approach to Learning in Different Learning Environments

ERIC Educational Resources Information Center

Postareff, Liisa; Parpala, Anna; Lindblom-Ylänne, Sari

2015-01-01

The study explored factors explaining changes in a deep approach to learning. The data consisted of interviews with 12 students from four Bachelor-level courses representing different disciplines. We analysed and compared descriptions of students whose deep approach either increased, decreased or remained relatively unchanged during their courses.…

Assessing the Change Process in Comprehensive High Schools Implementing Professional Learning Communities

ERIC Educational Resources Information Center

Shaner, Robert G.

2009-01-01

Professional learning communities (PLC) have been identified as scaffolds that can facilitate, support, and sustain systemic change focused on improving student achievement. PLCs represent the application of the theoretical constructs of the learning organization within the framework of schools and school systems. Little is known about the change…

The Preschool Learning Behaviors Scale: Dimensionality and External Validity in Head Start

ERIC Educational Resources Information Center

McDermott, Paul A.; Rikoon, Samuel H.; Waterman, Clare; Fantuzzo, John W.

2012-01-01

Given the importance of accurately gauging early childhood approaches to learning, this study reports evidence for the dimensionality and utility of the Preschool Learning Behaviors Scale for use with disadvantaged preschool children. Data from a large (N = 1,666) sample representative of urban Head Start classrooms revealed three reliable…

Withdrawal from Cocaine Self-Administration Produces Long-Lasting Deficits in Orbitofrontal-Dependent Reversal Learning in Rats

ERIC Educational Resources Information Center

Calu, Donna J.; Stalnaker, Thomas A.; Franz, Theresa M.; Singh, Teghpal; Shaham, Yavin; Schoenbaum, Geoffrey

2007-01-01

Drug addicts make poor decisions. These decision-making deficits have been modeled in addicts and laboratory animals using reversal-learning tasks. However, persistent reversal-learning impairments have been shown in rats and monkeys only after noncontingent cocaine injections. Current thinking holds that to represent the human condition…

Understanding the Transformation of Compassion in Nurses Who Become Patients

ERIC Educational Resources Information Center

Pucino, Carrie L.

2013-01-01

The purpose of this study was to examine how nurses who become patients learn compassion toward patients in their professional practice, and examine the role of empathy in the process of learning compassion. The process of learning compassion represents a significant change in the way nurses perceive this aspect of practice. Therefore,…

Students' Multi-Modal Re-Presentations of Scientific Knowledge and Creativity

ERIC Educational Resources Information Center

Koren, Yitzhak; Klavir, Rama; Gorodetsky, Malka

2005-01-01

The paper brings the results of a project that passed on to students the opportunity for re-presenting their acquired knowledge via the construction of multi-modal "learning resources". These "learning resources" substituted for lectures and books and became the official learning sources in the classroom. The rational for the…

Corporate Blended Learning in Portugal: Current Status and Future Directions

ERIC Educational Resources Information Center

Marcal, Julia; Caetano, Antonio

2010-01-01

The aim of this study is to characterize the current status of blended learning in Portugal, given that b-learning has grown exponentially in the Portuguese market over recent years. 38 organizations (representing 68% of all institutions certified to provide distance training by the Government Labour Office--DGERT-) participated in this study. The…

Common Core Science Standards: Implications for Students with Learning Disabilities

ERIC Educational Resources Information Center

Scruggs, Thomas E.; Brigham, Frederick J.; Mastropieri, Margo A.

2013-01-01

The Common Core Science Standards represent a new effort to increase science learning for all students. These standards include a focus on English and language arts aspects of science learning, and three dimensions of science standards, including practices of science, crosscutting concepts of science, and disciplinary core ideas in the various…

Representations of Fractions: Evidence for Accessing the Whole Magnitude in Adults

ERIC Educational Resources Information Center

Sprute, Lisa; Temple, Elise

2011-01-01

Proficiency with fractions serves as a foundation for later mathematics and is critical for learning algebra, which plays a role in college success and lifetime earnings. Yet children often struggle to learn fractions. Educators have argued that a conceptual understanding of fractions involves learning that a fraction represents a magnitude…

Early Fractions Learning of 3rd Grade Students in SD Laboratorium Unesa

ERIC Educational Resources Information Center

Sari, Elisabet Ayunika Permata; Juniati, Dwi; Patahudin, Sitti Maesuri

2012-01-01

Fractions varied meanings is one of the causes of difficulties in learning fractions. These students should be given greater opportunities to explore the meaning of fractions before they learn the relationship between fractions and operations on fractions. Although students shading an area represents a fraction, it does not mean they really…

Badges: A Common Currency for Learning

ERIC Educational Resources Information Center

Bowen, Kyle; Thomas, Andrea

2014-01-01

Digital Badges--icons that can represent skills and achievements at a more fine-grained level than a degree--give colleges and universities a new way to document learning outcomes and to map the pathways students follow to earn a degree. They also provide a common currency to denote learning outcomes and give employers a visual representation and…

Keeping Pace with K-12 Online Learning, 2016

ERIC Educational Resources Information Center

Gemin, Butch; Pape, Larry

2017-01-01

"Keeping Pace with K-12 Online Learning 2016" marks the thirteenth consecutive year Evergreen has published its annual research of the K-12 education online learning market. The thirteen years of researching, writing and publishing this report represents a time of remarkable change. There has been a constant presence that has become the…

Ontology Mapping Neural Network: An Approach to Learning and Inferring Correspondences among Ontologies

ERIC Educational Resources Information Center

Peng, Yefei

2010-01-01

An ontology mapping neural network (OMNN) is proposed in order to learn and infer correspondences among ontologies. It extends the Identical Elements Neural Network (IENN)'s ability to represent and map complex relationships. The learning dynamics of simultaneous (interlaced) training of similar tasks interact at the shared connections of the…

Improvement of Word Problem Solving and Basic Mathematics Competencies in Students with Attention Deficit/Hyperactivity Disorder and Mathematical Learning Difficulties

ERIC Educational Resources Information Center

González-Castro, Paloma; Cueli, Marisol; Areces, Débora; Rodríguez, Celestino; Sideridis, Georgios

2016-01-01

Problem solving represents a salient deficit in students with mathematical learning difficulties (MLD) primarily caused by difficulties with informal and formal mathematical competencies. This study proposes a computerized intervention tool, the integrated dynamic representation (IDR), for enhancing the early learning of basic mathematical…

Representing System Behaviors and Expert Behaviors for Intelligent Tutoring

DTIC Science & Technology

1987-02-09

Learned .................................. 44 . Future Directions ................................... 47 Sum m ary...and training environments to assist the instructor in meeting the students’ learning needs. The first application of the IMTS will be in training...identifies and resolves learning deficiencies and minimizes unproductive practice time. Another decision made early in the planning phase was to place

Getting on Board: The Private Sector and Learning Readiness.

ERIC Educational Resources Information Center

Koprowicz, Constance; Myers, John

Developed by the Women's NETWORK, a group representing women serving in state legislatures in the United States, this report examines how the private sector is involved in promoting learning readiness at the preschool level. The report begins with an introduction and a discussion of the importance of learning readiness as a national goal. The…

Pervasive Learning Games: Explorations of Hybrid Educational Gamescapes

ERIC Educational Resources Information Center

Thomas, Siobhan

2006-01-01

Pervasive gaming has tremendous potential as a learning tool and represents an interesting development in the field of video games and education. The literature surrounding video games and education is vast: For more than 20 years, educationalists have been discussing the potential that exists for the application of video games to learning.…

Making Connections for Mindful Inquiry: Using Reflective Journals to Scaffold an Autobiographical Approach to Learning in Economics

ERIC Educational Resources Information Center

Blackshields, Daniel

2009-01-01

This research develops a narrative of incidents of intentional learning by students studying undergraduate economics as represented in their written reflective journals. The deliberate integration of learner reflection, reflective practice and reflective writing into the pedagogy may facilitate transfer learning (Sousa, 2006). Transfer has been…

Micro-Macro Compatibility: When Does a Complex Systems Approach Strongly Benefit Science Learning?

ERIC Educational Resources Information Center

Samon, Sigal; Levy, Sharona T.

2017-01-01

The study explores how a complexity approach empowers science learning. A complexity approach represents systems as many interacting entities. The construct of micro-macro compatibility is introduced, the degree of similarity between behaviors at the micro- and macro-levels of the system. Seventh-grade students' learning about gases was studied…

American Council of Learned Societies Annual Report for the Years 2006-2007 and 2005-2006

ERIC Educational Resources Information Center

American Council of Learned Societies, 2008

2008-01-01

The American Council of Learned Societies (ACLS) provides the humanities and related social sciences with leadership, opportunities for innovation, and national and international representation. The American Council of Learned Societies was created in 1919 to represent the United States in the Union Academique Internationale. Its mission is…

Correlation of Students' Brain Types to Their Conceptions of Learning Science and Approaches to Learning Science

ERIC Educational Resources Information Center

Park, Jiyeon; Jeon, Dongryul

2015-01-01

The systemizing and empathizing brain type represent two contrasted students' characteristics. The present study investigated differences in the conceptions and approaches to learning science between the systemizing and empathizing brain type students. The instruments are questionnaires on the systematizing and empathizing, questionnaires on the…

Avatars, Pedagogical Agents, and Virtual Environments: Social Learning Systems Online

ERIC Educational Resources Information Center

Ausburn, Lynna J.; Martens, Jon; Dotterer, Gary; Calhoun, Pat

2009-01-01

This paper presents a review of literature that introduces major concepts and issues in using avatars and pedagogical agents in first- and second-person virtual environments (VEs) for learning online. In these VEs, avatars and pedagogical agents represent self and other learners/participants or serve as personal learning "guides". The…

Humorous Materials to Enhance Active Learning

ERIC Educational Resources Information Center

Miller, J. L.; Wilson, K.; Miller, J.; Enomoto, K.

2017-01-01

The use of humour in teaching and learning can be contentious, with some authors suggesting that the efficacy of humorous materials is mediated by the culture of the student. Nevertheless, humour represents a potential vehicle for the introduction of active learning in a classroom setting, as judicious use of humour may lead to a more relaxed…

PBL-SEE: An Authentic Assessment Model for PBL-Based Software Engineering Education

ERIC Educational Resources Information Center

dos Santos, Simone C.

2017-01-01

The problem-based learning (PBL) approach has been successfully applied to teaching software engineering thanks to its principles of group work, learning by solving real problems, and learning environments that match the market realities. However, the lack of well-defined methodologies and processes for implementing the PBL approach represents a…

The Sloan-C Pillars and Boundary Objects As a Framework for Evaluating Blended Learning

ERIC Educational Resources Information Center

Laumakis, Mark; Graham, Charles; Dziuban, Chuck

2009-01-01

The authors contend that blended learning represents a boundary object; a construct that brings together constituencies from a variety of backgrounds with each of these cohorts defining the object somewhat differently. The Sloan-C Pillars (learning effectiveness, access, cost effectiveness, student satisfaction, and faculty satisfaction) provide…

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…

Investigating Students' Ideas about Buoyancy and the Influence of Haptic Feedback

ERIC Educational Resources Information Center

Minogue, James; Borland, David

2016-01-01

While haptics (simulated touch) represents a potential breakthrough technology for science teaching and learning, there is relatively little research into its differential impact in the context of teaching and learning. This paper describes the testing of a haptically enhanced simulation (HES) for learning about buoyancy. Despite a lifetime of…

Explorations in the Modeling of the Learning of Mathematics.

ERIC Educational Resources Information Center

Fuson, Karen C., Ed.; And Others

Eleven research reports in the area of models of learning mathematics are presented in this publication of the Mathematics Education Reports series. The papers represent a mixture of theories, viewpoints, and references to other areas. Content areas addressed range from preschool to college levels. All the papers are concerned with the learning of…

On the Determinants of Employment-Related Organised Education and Informal Learning

ERIC Educational Resources Information Center

Nilsson, Staffan; Rubenson, Kjell

2014-01-01

This paper analyses the distribution of employment-related organised education and informal learning in the Canadian workforce. The paper draws on a large-scale survey, the Changing Nature of Work and Lifelong Learning (WALL), which was based on structured and standardised telephone interviews with a representative sample of 5783 Canadian members…

What Connects "Good" Teaching, Text Study and "Hevruta" Learning? A Conceptual Argument

ERIC Educational Resources Information Center

Holzer, Elie

2006-01-01

The study of Jewish traditional texts in a "hevruta" learning setting (two people studying a text together) represents past as well as contemporary modes of Jewish religious and devotional study. More recently, "hevruta" learning has made its way into several contexts of professional development in Jewish education, including inservice settings…

Using Students' Performance to Improve Ontologies for Intelligent E-Learning System

ERIC Educational Resources Information Center

Icoz, Kutay; Sanalan, Vehbi A.; Ozdemir, Esra Benli; Kaya, Sukru; Cakar, Mehmet Akif

2015-01-01

Ontologies have often been recommended for E-learning systems, but few efforts have successfully incorporated student data to represent knowledge conceptualizations. Defining key concepts and their relations between each other establishes the backbone of our E-learning system. The system guides an individual student through his/her course by…

Learning to represent spatial transformations with factored higher-order Boltzmann machines.

PubMed

Memisevic, Roland; Hinton, Geoffrey E

2010-06-01

To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicative interactions that use the intensity of a pixel in the first image as a multiplicative gain on a learned, symmetric weight between a pixel in the second image and a hidden unit. This creates cubically many parameters, which form a three-dimensional interaction tensor. We describe a low-rank approximation to this interaction tensor that uses a sum of factors, each of which is a three-way outer product. This approximation allows efficient learning of transformations between larger image patches. Since each factor can be viewed as an image filter, the model as a whole learns optimal filter pairs for efficiently representing transformations. We demonstrate the learning of optimal filter pairs from various synthetic and real image sequences. We also show how learning about image transformations allows the model to perform a simple visual analogy task, and we show how a completely unsupervised network trained on transformations perceives multiple motions of transparent dot patterns in the same way as humans.

Case-based learning facilitates critical thinking in undergraduate nutrition education: students describe the big picture.

PubMed

Harman, Tara; Bertrand, Brenda; Greer, Annette; Pettus, Arianna; Jennings, Jill; Wall-Bassett, Elizabeth; Babatunde, Oyinlola Toyin

2015-03-01

The vision of dietetics professions is based on interdependent education, credentialing, and practice. Case-based learning is a method of problem-based learning that is designed to heighten higher-order thinking. Case-based learning can assist students to connect education and specialized practice while developing professional skills for entry-level practice in nutrition and dietetics. This study examined student perspectives of their learning after immersion into case-based learning in nutrition courses. The theoretical frameworks of phenomenology and Bloom's Taxonomy of Educational Objectives triangulated the design of this qualitative study. Data were drawn from 426 written responses and three focus group discussions among 85 students from three upper-level undergraduate nutrition courses. Coding served to deconstruct the essence of respondent meaning given to case-based learning as a learning method. The analysis of the coding was the constructive stage that led to configuration of themes and theoretical practice pathways about student learning. Four leading themes emerged. Story or Scenario represents the ways that students described case-based learning, changes in student thought processes to accommodate case-based learning are illustrated in Method of Learning, higher cognitive learning that was achieved from case-based learning is represented in Problem Solving, and Future Practice details how students explained perceived professional competency gains from case-based learning. The skills that students acquired are consistent with those identified as essential to professional practice. In addition, the common concept of Big Picture was iterated throughout the themes and demonstrated that case-based learning prepares students for multifaceted problems that they are likely to encounter in professional practice. Copyright © 2015 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Students' Choice of Animated Pedagogical Agents in Science Learning: A Test of the Similarity-Attraction Hypothesis on Gender and Ethnicity

ERIC Educational Resources Information Center

Moreno, Roxana; Flowerday, Terri

2006-01-01

College students learned about science with a multimedia program. One group (choice or C) chose to learn with or without an animated pedagogical agent (APA) representing a male or female of five different ethnicities. Another group (no-choice or NC) was assigned an APA by the system. All participants in C group chose to learn with APAs and…

Access and Success in Learning: Technologies for Scaling Up Open and Distance Learning Programme in the Institute of Distance Learning, KNUST, Kumasi, Ghana

ERIC Educational Resources Information Center

Essel, Rebecca; Owusu-Boateng, William

2011-01-01

ODL (Open and Distance Learning) has come to stay. In recent years, there has been some extra-ordinary increasing international interest in it and Ghana is no exception. Currently, new ways of providing education are inevitable and ODL provides an effective alternate way. It represents approaches that focus on opening access to education and…

The Scholarship of Teaching: The CEET Initiative on Teaching and Learning. A Faculty Development Program on Teaching and Learning and Classroom Research. Volumes 1-4. October 2005-December 2006

ERIC Educational Resources Information Center

Scarborough, Jule Dee

2007-01-01

This Northern Illinois University College of Engineering and Engineering Technology (CEET) initiative represents the authors' first attempt to prepare engineering and technology professors for teaching to improve student learning and the Scholarship of Teaching. This college portfolio is nontraditional in that it combines a learning paper approach…

A comparative evaluation of supervised and unsupervised representation learning approaches for anaplastic medulloblastoma differentiation

NASA Astrophysics Data System (ADS)

Cruz-Roa, Angel; Arevalo, John; Basavanhally, Ajay; Madabhushi, Anant; González, Fabio

2015-01-01

Learning data representations directly from the data itself is an approach that has shown great success in different pattern recognition problems, outperforming state-of-the-art feature extraction schemes for different tasks in computer vision, speech recognition and natural language processing. Representation learning applies unsupervised and supervised machine learning methods to large amounts of data to find building-blocks that better represent the information in it. Digitized histopathology images represents a very good testbed for representation learning since it involves large amounts of high complex, visual data. This paper presents a comparative evaluation of different supervised and unsupervised representation learning architectures to specifically address open questions on what type of learning architectures (deep or shallow), type of learning (unsupervised or supervised) is optimal. In this paper we limit ourselves to addressing these questions in the context of distinguishing between anaplastic and non-anaplastic medulloblastomas from routine haematoxylin and eosin stained images. The unsupervised approaches evaluated were sparse autoencoders and topographic reconstruct independent component analysis, and the supervised approach was convolutional neural networks. Experimental results show that shallow architectures with more neurons are better than deeper architectures without taking into account local space invariances and that topographic constraints provide useful invariant features in scale and rotations for efficient tumor differentiation.

A knowledge representation approach using fuzzy cognitive maps for better navigation support in an adaptive learning system.

PubMed

Chrysafiadi, Konstantina; Virvou, Maria

2013-12-01

In this paper a knowledge representation approach of an adaptive and/or personalized tutoring system is presented. The domain knowledge should be represented in a more realistic way in order to allow the adaptive and/or personalized tutoring system to deliver the learning material to each individual learner dynamically taking into account her/his learning needs and her/his different learning pace. To succeed this, the domain knowledge representation has to depict the possible increase or decrease of the learner's knowledge. Considering that the domain concepts that constitute the learning material are not independent from each other, the knowledge representation approach has to allow the system to recognize either the domain concepts that are already partly or completely known for a learner, or the domain concepts that s/he has forgotten, taking into account the learner's knowledge level of the related concepts. In other words, the system should be informed about the knowledge dependencies that exist among the domain concepts of the learning material, as well as the strength on impact of each domain concept on others. Fuzzy Cognitive Maps (FCMs) seem to be an ideal way for representing graphically this kind of information. The suggested knowledge representation approach has been implemented in an e-learning adaptive system for teaching computer programming. The particular system was used by the students of a postgraduate program in the field of Informatics in the University of Piraeus and was compared with a corresponding system, in which the domain knowledge was represented using the most common used technique of network of concepts. The results of the evaluation were very encouraging.

Negotiating energy dynamics through embodied action in a materially structured environment

NASA Astrophysics Data System (ADS)

Scherr, Rachel E.; Close, Hunter G.; Close, Eleanor W.; Flood, Virginia J.; McKagan, Sarah B.; Robertson, Amy D.; Seeley, Lane; Wittmann, Michael C.; Vokos, Stamatis

2013-12-01

We provide evidence that a learning activity called Energy Theater engages learners with key conceptual issues in the learning of energy, including disambiguating matter flow and energy flow and theorizing mechanisms for energy transformation. A participationist theory of learning, in which learning is indicated by changes in speech and behavior, supports ethnographic analysis of learners’ embodied interactions with each other and the material setting. We conduct detailed analysis to build plausible causal links between specific features of Energy Theater and the conceptual engagement that we observe. Disambiguation of matter and energy appears to be promoted especially by the material structure of the Energy Theater environment, in which energy is represented by participants, while objects are represented by areas demarcated by loops of rope. Theorizing mechanisms of energy transformation is promoted especially by Energy Theater’s embodied action, which necessitates modeling the time ordering of energy transformations.

Bridging Cognitive And Neural Aspects Of Classroom Learning

NASA Astrophysics Data System (ADS)

Posner, Michael I.

2009-11-01

A major achievement of the first twenty years of neuroimaging is to reveal the brain networks that underlie fundamental aspects of attention, memory and expertise. We examine some principles underlying the activation of these networks. These networks represent key constraints for the design of teaching. Individual differences in these networks reflect a combination of genes and experiences. While acquiring expertise is easier for some than others the importance of effort in its acquisition is a basic principle. Networks are strengthened through exercise, but maintaining interest that produces sustained attention is key to making exercises successful. The state of the brain prior to learning may also represent an important constraint on successful learning and some interventions designed to investigate the role of attention state in learning are discussed. Teaching remains a creative act between instructor and student, but an understanding of brain mechanisms might improve opportunity for success for both participants.

Hedging Your Bets by Learning Reward Correlations in the Human Brain

PubMed Central

Wunderlich, Klaus; Symmonds, Mkael; Bossaerts, Peter; Dolan, Raymond J.

2011-01-01

Summary Human subjects are proficient at tracking the mean and variance of rewards and updating these via prediction errors. Here, we addressed whether humans can also learn about higher-order relationships between distinct environmental outcomes, a defining ecological feature of contexts where multiple sources of rewards are available. By manipulating the degree to which distinct outcomes are correlated, we show that subjects implemented an explicit model-based strategy to learn the associated outcome correlations and were adept in using that information to dynamically adjust their choices in a task that required a minimization of outcome variance. Importantly, the experimentally generated outcome correlations were explicitly represented neuronally in right midinsula with a learning prediction error signal expressed in rostral anterior cingulate cortex. Thus, our data show that the human brain represents higher-order correlation structures between rewards, a core adaptive ability whose immediate benefit is optimized sampling. PMID:21943609

The Emergence of For-Profit E-Learning Providers in Asia

ERIC Educational Resources Information Center

Jung, Insung

2009-01-01

In recent years, local and global for-profit e-learning providers have expanded in Asia. A combination of factors has encouraged such development: The accelerating roll-out of technology, the availability of sophisticated learning management systems, and the high growth rates of Internet usage by the 510 million or so Asians who now represent 39%…

The Effect of Contextualized Conversational Feedback in a Complex Open-Ended Learning Environment

ERIC Educational Resources Information Center

Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam

2013-01-01

Betty's Brain is an open-ended learning environment in which students learn about science topics by teaching a virtual agent named Betty through the construction of a visual causal map that represents the relevant science phenomena. The task is complex, and success requires the use of metacognitive strategies that support knowledge acquisition,…

The 21st Century: Meeting the Challenges to Business Education. National Business Education Association Yearbook, No. 37.

ERIC Educational Resources Information Center

Villee, Pat A. Gallo, Ed.; Curran, Michael G., Ed.

This yearbook examines six themes representative of the challenges to future business educators. "The Future We Create" (Arthur McEntee) discusses them: a thinking curriculum, opportunities for real-world learning, matching teaching and learning styles, teachers as knowledge facilitators, technology as a learning tool, and global thinking for a…

Emergent Learning Practices in Globalizing Work: The Case of a Finnish-Chinese Project in a Finnish Technology Consulting Firm

ERIC Educational Resources Information Center

Toiviainen, Hanna; Lallimo, Jiri; Hong, Jianzhong

2012-01-01

Purpose: This article aims to analyze emergent learning practices for globalizing work through two research questions: "What are the conceptualizations of work represented by the Virtual Factory and how do they mediate globalizing work?" and "What is the potential of expansive learning efforts to expand conceptualizations towards…

Student Uses of Technology in Learning: Two Lenses

ERIC Educational Resources Information Center

McNeill, Margot; Diao, Ming Ming; Gosper, Maree

2011-01-01

Purpose: In their 2007 article, "Miranda in the brave new world: learning in a Web 2.0 millennium", Barnes and Tynan tell the story of an imaginary British student who uses technology seamlessly to stay connected almost 24 x 7 with friends, peers and teachers in a global learning environment. Whether she is representative of the majority of…

Implications of Bandura's Observational Learning Theory for a Competency Based Teacher Education Model.

ERIC Educational Resources Information Center

Hartjen, Raymond H.

Albert Bandura of Stanford University has proposed four component processes to his theory of observational learning: a) attention, b) retention, c) motor reproduction, and d) reinforcement and motivation. This study represents one phase of an effort to relate modeling and observational learning theory to teacher training. The problem of this study…

An Application of the Diffusion of Innovations Theory to the Investigation of Blended Language Learning

ERIC Educational Resources Information Center

Grgurovic, Maja

2014-01-01

This study investigates technology-enhanced blended learning in an English as a Second Language (ESL) program from the theoretical perspective of Diffusion of Innovations theory. The study first established that the use of a learning management system (LMS) in two ESL classes represented an educational innovation. Next, the innovation attributes…

A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities

ERIC Educational Resources Information Center

Mora, Higinio; Ferrández, Antonio; Gil, David; Peral, Jesús

2017-01-01

Massive Open Online Courses and e-learning represent the future of the teaching-learning processes through the development of Information and Communication Technologies. They are the response to the new education needs of society. However, this future also presents many challenges such as the processing of online forums when a huge number of…

Education and Lifelong Learning in Romania--Perspectives of the Year 2020

ERIC Educational Resources Information Center

Popescu, Veronica Adriana; Popescu, Gheorghe N.; Popescu, Cristina Raluca

2012-01-01

Our research study focuses on the problems of education and lifelong learning in the Romanian society of the year 2020. Starting from the idea that lifelong learning represents the continuous building of skills and knowledge through the life of an individual, we believe that the process of continuous education is the key element that each and…

Mapping the Digital Divide in Britain: Implications for Learning and Education

ERIC Educational Resources Information Center

Eynon, Rebecca

2009-01-01

The internet presents many potential opportunities for people to learn for both formal and informal purposes. However, not everyone is able to make the most of the internet for learning. This paper utilises quantitative nationally representative survey data of internet use in Britain in order to explore the digital divide in relation to learning…

The Studio Experience at the University of Georgia: An Example of Constructionist Learning for Adults

ERIC Educational Resources Information Center

Clinton, Gregory; Rieber, Lloyd P.

2010-01-01

The Studio curriculum in the Learning, Design, and Technology (formerly Instructional Technology) program at a large research-extensive university in the southeastern U.S. represents a deliberate application of contemporary theory of how adults learn complex information in ill-structured domains. The Studio curriculum, part of a graduate program…

Learning at Work and Competence: Different Contexts and Meanings in the Case of Transition Economy

ERIC Educational Resources Information Center

Loogma, Krista

2004-01-01

In this paper, the author analyses the different patterns of learning one can find in the organisations of two contrasting economic fields representing different contexts for learning. The analysis concentrates on two different occupational groups at the medium skills level: specialists in the IT sector and skilled workers in the timber and…

2.5-Year-Olds Use Cross-Situational Consistency to Learn Verbs under Referential Uncertainty

ERIC Educational Resources Information Center

Scott, Rose M.; Fisher, Cynthia

2012-01-01

Recent evidence shows that children can use cross-situational statistics to learn new object labels under referential ambiguity (e.g., Smith & Yu, 2008). Such evidence has been interpreted as support for proposals that statistical information about word-referent co-occurrence plays a powerful role in word learning. But object labels represent only…

Cognitive Support Embedded in Self-Regulated E-Learning Systems for Students with Special Learning Needs

ERIC Educational Resources Information Center

Chatzara, K.; Karagiannidis, C.; Stamatis, D.

2016-01-01

This paper presents an anthropocentric approach in human-machine interaction in the area of self-regulated e-learning. In an attempt to enhance communication mediated through computers for pedagogical use we propose the incorporation of an intelligent emotional agent that is represented by a synthetic character with multimedia capabilities,…

China's Radio and TV Universities: Reflections on Theory and Practice of Open and Distance Learning

ERIC Educational Resources Information Center

Wei, Runfang

2010-01-01

Distance education and open learning are western innovations, representing the educational concepts, cultures and societies of western countries. The introduction of distance education and the adoption of open learning in China's radio and TV universities are by no means an indication that they will and can be copied wholesale. Open and distance…

The Cross-linguistic Development of Address Form Use in Telecollaborative Language Learning: Two Case Studies.

ERIC Educational Resources Information Center

Belz, Julie A.; Kinginger, Celeste

2002-01-01

Explores the influences of the telecollaborative learning environment on the development of second language (L2) pragmatic competence in foreign language learning from a sociocultural perspective. Focuses on "microgenesis," or development of the T/V distinction in pronouns of address as a test case representative of broader L2 pragmatic…

Uncertainty Management and Sensemaking as Precursors to Transformative Learning in an International Immersion Service-Learning Experience

ERIC Educational Resources Information Center

Larson, Jan M.; Fay, Martha

2016-01-01

This study is based on an international immersion service-learning/research experience in a remote village in Moldova that provided faculty and students an opportunity to teach journalism and help local students and community representatives create their own online news outlet. Students' existing conceptions were challenged, they experienced…

A Learning Design Ontology Based on the IMS Specification

ERIC Educational Resources Information Center

Amorim, Ricardo R.; Lama, Manuel; Sanchez, Eduardo; Riera, Adolfo; Vila, Xose A.

2006-01-01

In this paper, we present an ontology to represent the semantics of the IMS Learning Design (IMS LD) specification, a meta-language used to describe the main elements of the learning design process. The motivation of this work relies on the expressiveness limitations found on the current XML-Schema implementation of the IMS LD conceptual model. To…

When, What, and How Much to Reward in Reinforcement Learning-Based Models of Cognition

ERIC Educational Resources Information Center

Janssen, Christian P.; Gray, Wayne D.

2012-01-01

Reinforcement learning approaches to cognitive modeling represent task acquisition as learning to choose the sequence of steps that accomplishes the task while maximizing a reward. However, an apparently unrecognized problem for modelers is choosing when, what, and how much to reward; that is, when (the moment: end of trial, subtask, or some other…

Growing the Scholarship of Teaching and Learning through Institutional Culture Change

ERIC Educational Resources Information Center

Ginsberg, Sarah M.; Bernstein, Jeffrey L.

2011-01-01

The scholarship of teaching and learning represents an important movement within higher education. Through this work, the profession of teaching is able to build upon itself through sustained inquiry and an evidence-based culture. However, for the scholarship of teaching and learning to take hold on a campus, a culture shift often needs to occur,…

The Effect of Mastery Learning Instruction on the Entry-Level Spanish Proficiency of Secondary School Students.

ERIC Educational Resources Information Center

Obando, Ligia Torres; Hymel, Glenn M.

The relationship between instructional treatment manifested as mastery learning and non-mastery learning strategies and various measures of Spanish proficiency was studied with 41 freshmen at an all-female high school in the New Orleans (Louisiana) area. Subjects were grouped homogeneously into 2 classes of 22 and 19 students, representing the…

Learning of a Formation Principle for the Secondary Phonemic Function of a Syllabic Orthography

ERIC Educational Resources Information Center

Fletcher-Flinn, Claire M.; Thompson, G. Brian; Yamada, Megumi; Meissel, Kane

2014-01-01

It has been observed in Japanese children learning to read that there is an early and rapid shift from exclusive reading of hiragana as syllabograms to the dual-use convention in which some hiragana also represent phonemic elements. Such rapid initial learning appears contrary to the standard theories of reading acquisition that require…

Using the "Expert Performance Approach" as a Framework for Improving Understanding of Expert Learning

ERIC Educational Resources Information Center

Williams, A. Mark; Fawver, Bradley; Hodges, Nicola J.

2017-01-01

The expert performance approach, initially proposed by Ericsson and Smith (1991), is reviewed as a systematic framework for the study of "expert" learning. The need to develop representative tasks to capture learning is discussed, as is the need to employ process-tracing measures during acquisition to examine what actually changes during…

Physiology Learning for Veterinary Students: Impact of Guided Practices on Students' Opinion and Physiological Parameters

ERIC Educational Resources Information Center

García-Vázquez, Francisco A.; Romar, Raquel; Gadea, Joaquín; Matás, Carmen; Coy, Pilar; Ruiz, Salvador

2018-01-01

Over recent decades, education has increasingly focused on student-centered learning. Guided practices represent a new way of learning for undergraduate students of physiology, whereby the students turn into teacher-students and become more deeply involved in the subject by preparing and teaching a practical (laboratory) class to their peers. The…

Evaluating the Impact of Instructional Support Using Data Mining and Process Mining: A Micro-Level Analysis of the Effectiveness of Metacognitive Prompts

ERIC Educational Resources Information Center

Sonnenberg, Christoph; Bannert, Maria

2016-01-01

In computer-supported learning environments, the deployment of self-regulatory skills represents an essential prerequisite for successful learning. Metacognitive prompts are a promising type of instructional support to activate students' strategic learning activities. However, despite positive effects in previous studies, there are still a large…

Representation in incremental learning

NASA Technical Reports Server (NTRS)

1993-01-01

Work focused on two areas in machine learning: representation for inductive learning and how to apply concept learning techniques to learning state preferences, which can represent search control knowledge for problem solving. Specifically, in the first area the issues of the effect of representation on learning, on how learning formalisms are biased, and how concept learning can benefit from the use of a hybrid formalism are addressed. In the second area, the issues of developing an agent to learn search control knowledge from the relative values of states, of the source of that qualitative information, and of the ability to use both quantitative and qualitative information in order to develop an effective problem-solving policy are examined.

Beads + String = Atoms You Can See.

ERIC Educational Resources Information Center

Hermann, Christine K. F.

1998-01-01

Presents hands-on activities that give students a head start in learning the vocabulary and basic theory involved in understanding atomic structure. Uses beads to represent protons, neutrons, and electrons and string to represent orbitals. (DDR)

Automatic MeSH term assignment and quality assessment.

PubMed Central

Kim, W.; Aronson, A. R.; Wilbur, W. J.

2001-01-01

For computational purposes documents or other objects are most often represented by a collection of individual attributes that may be strings or numbers. Such attributes are often called features and success in solving a given problem can depend critically on the nature of the features selected to represent documents. Feature selection has received considerable attention in the machine learning literature. In the area of document retrieval we refer to feature selection as indexing. Indexing has not traditionally been evaluated by the same methods used in machine learning feature selection. Here we show how indexing quality may be evaluated in a machine learning setting and apply this methodology to results of the Indexing Initiative at the National Library of Medicine. PMID:11825203

IRTs of the ABCs: Children's Letter Name Acquisition

PubMed Central

Piasta, Shayne B.; Anthony, Jason L.; Lonigan, Christopher J.; Francis, David J.

2015-01-01

We examined the developmental sequence of letter name knowledge acquisition by children from 2 to five years of age. Data from 2 samples representing diverse regions, ethnicity, and socioeconomic backgrounds (ns = 1074 & 500) were analyzed using item response theory (IRT) and differential item functioning techniques. Results from factor analyses indicated that letter name knowledge represented a unidimensional skill; IRT results yielded significant differences between letters in both difficulty and discrimination. Results also indicated an approximate developmental sequence in letter name learning for the simplest and most challenging to learn letters -- but with no clear sequence between these extremes. Findings also suggested that children were most likely to first learn their first initial. We discuss implications for assessment and instruction. PMID:22710016

On Social e-Learning

NASA Astrophysics Data System (ADS)

Kim, Won; Jeong, Ok-Ran

Social Web sites include social networking sites and social media sites. They make it possible for people to share user-created contents online and to interact and stay connected with their online people networks. The social features of social Web sites, appropriately adapted, can help turn e-learning into social e-learning and make e-learning significantly more effective. In this paper, we develop requirements for social e-learning systems. They include incorporating the many of the social features of social Web sites, accounting for all key stakeholders and learning subjects, and curbing various types of misuses by people. We also examine the capabilities of representative social e-learning Web sites that are available today.

On the design of neuro-controllers for individual and social learning behaviour in autonomous robots: an evolutionary approach

NASA Astrophysics Data System (ADS)

Pini, Giovanni; Tuci, Elio

2008-06-01

In biology/psychology, the capability of natural organisms to learn from the observation/interaction with conspecifics is referred to as social learning. Roboticists have recently developed an interest in social learning, since it might represent an effective strategy to enhance the adaptivity of a team of autonomous robots. In this study, we show that a methodological approach based on artifcial neural networks shaped by evolutionary computation techniques can be successfully employed to synthesise the individual and social learning mechanisms for robots required to learn a desired action (i.e. phototaxis or antiphototaxis).

Negative symptoms in schizophrenia result from a failure to represent the expected value of rewards: Behavioral and computational modeling evidence

PubMed Central

Gold, James M.; Waltz, James A.; Matveeva, Tatyana M.; Kasanova, Zuzana; Strauss, Gregory P.; Herbener, Ellen S.; Collins, Anne G.E.; Frank, Michael J.

2015-01-01

Context Negative symptoms are a core feature of schizophrenia, but their pathophysiology remains unclear. Objective Negative symptoms are defined by the absence of normal function. However, there must be a productive mechanism that leads to this absence. Here, we test a reinforcement learning account suggesting that negative symptoms result from a failure to represent the expected value of rewards coupled with preserved loss avoidance learning. Design Subjects performed a probabilistic reinforcement learning paradigm involving stimulus pairs in which choices resulted in either reward or avoidance of loss. Following training, subjects indicated their valuation of the stimuli in a transfer task. Computational modeling was used to distinguish between alternative accounts of the data. Setting A tertiary care research outpatient clinic. Patients A total of 47 clinically stable patients with a diagnosis of schizophrenia or schizoaffective disorder and 28 healthy volunteers participated. Patients were divided into high and low negative symptom groups. Main Outcome measures 1) The number of choices leading to reward or loss avoidance and 2) performance in the transfer phase. Quantitative fits from three different models were examined. Results High negative symptom patients demonstrated impaired learning from rewards but intact loss avoidance learning, and failed to distinguish rewarding stimuli from loss-avoiding stimuli in the transfer phase. Model fits revealed that high negative symptom patients were better characterized by an “actor-critic” model, learning stimulus-response associations, whereas controls and low negative symptom patients incorporated expected value of their actions (“Q-learning”) into the selection process. Conclusions Negative symptoms are associated with a specific reinforcement learning abnormality: High negative symptoms patients do not represent the expected value of rewards when making decisions but learn to avoid punishments through the use of prediction errors. This computational framework offers the potential to understand negative symptoms at a mechanistic level. PMID:22310503

Learning spatially coherent properties of the visual world in connectionist networks

NASA Astrophysics Data System (ADS)

Becker, Suzanna; Hinton, Geoffrey E.

1991-10-01

In the unsupervised learning paradigm, a network of neuron-like units is presented with an ensemble of input patterns from a structured environment, such as the visual world, and learns to represent the regularities in that input. The major goal in developing unsupervised learning algorithms is to find objective functions that characterize the quality of the network's representation without explicitly specifying the desired outputs of any of the units. The sort of objective functions considered cause a unit to become tuned to spatially coherent features of visual images (such as texture, depth, shading, and surface orientation), by learning to predict the outputs of other units which have spatially adjacent receptive fields. Simulations show that using an information-theoretic algorithm called IMAX, a network can be trained to represent depth by observing random dot stereograms of surfaces with continuously varying disparities. Once a layer of depth-tuned units has developed, subsequent layers are trained to perform surface interpolation of curved surfaces, by learning to predict the depth of one image region based on depth measurements in surrounding regions. An extension of the basic model allows a population of competing neurons to learn a distributed code for disparity, which naturally gives rise to a representation of discontinuities.

Active Learning Strategies for Phenotypic Profiling of High-Content Screens.

PubMed

Smith, Kevin; Horvath, Peter

2014-06-01

High-content screening is a powerful method to discover new drugs and carry out basic biological research. Increasingly, high-content screens have come to rely on supervised machine learning (SML) to perform automatic phenotypic classification as an essential step of the analysis. However, this comes at a cost, namely, the labeled examples required to train the predictive model. Classification performance increases with the number of labeled examples, and because labeling examples demands time from an expert, the training process represents a significant time investment. Active learning strategies attempt to overcome this bottleneck by presenting the most relevant examples to the annotator, thereby achieving high accuracy while minimizing the cost of obtaining labeled data. In this article, we investigate the impact of active learning on single-cell-based phenotype recognition, using data from three large-scale RNA interference high-content screens representing diverse phenotypic profiling problems. We consider several combinations of active learning strategies and popular SML methods. Our results show that active learning significantly reduces the time cost and can be used to reveal the same phenotypic targets identified using SML. We also identify combinations of active learning strategies and SML methods which perform better than others on the phenotypic profiling problems we studied. © 2014 Society for Laboratory Automation and Screening.

Orbitofrontal cortex inactivation impairs between- but not within-session Pavlovian extinction: an associative analysis.

PubMed

Panayi, Marios C; Killcross, Simon

2014-02-01

The orbitofrontal cortex (OFC) is argued to be the neural locus of Pavlovian outcome expectancies. Reinforcement learning theories argue that extinction learning in Pavlovian procedures is caused by the discrepancy between the expected value of the outcome (US) that is elicited by a predictive stimulus (CS), and the lack of experienced US. If the OFC represents Pavlovian outcome expectancies that are necessary for extinction learning, then disrupting OFC function prior to extinction training should impair extinction learning. This was tested. In experiment 1, Long Evans rats received infusions of saline or muscimol targeting the lateral OFC prior to three appetitive Pavlovian extinction sessions. Muscimol infused into the OFC disrupted between-session but not within-session extinction behaviour. This finding was not due to muscimol infusions disrupting the memory consolidation process per se as there was no effect of muscimol infusion when administered immediately post session (experiment 2). These findings support a role for the OFC in representing outcome expectancies that are necessary for learning. A number of ways in which disrupting outcome expectancy information might block learning will be discussed in the context of traditional associative learning theories and the associative structures they depend on. Copyright © 2013 Elsevier Inc. All rights reserved.

A Field Problem: Planning and Designing a Learning Exchange Network for the Mississippi Gulf Coast.

ERIC Educational Resources Information Center

Perkins, Allan Thomas

A study was undertaken to gather data for use in planning a regional learning exchange network that would meet the learning needs of adults in three counties in the gulf coastal region of Mississippi. During the study, project-developed questionnaires were administered to representatives of agencies that would either host or sponsor the learning…

Proceedings of the Invitational Conference on Continuing Education, Manpower Policy and Lifelong Learning (Leesburg, Virginia, January 10-11, 1977).

ERIC Educational Resources Information Center

National Advisory Council on Extension and Continuing Education, Washington, DC.

This document contains the proceedings of a conference for representatives of organized labor, business and industry, postsecondary institutions, and federal agencies which was held to (1) discuss adult learning needs and opportunities in the United States, and (2) make recommendations on those adult learning issues which ought to be matters of…

"Let's Set Up Some Subgoals": Understanding Human-Pedagogical Agent Collaborations and Their Implications for Learning and Prompt and Feedback Compliance

ERIC Educational Resources Information Center

Harley, Jason M.; Taub, Michelle; Azevedo, Roger; Bouchet, Francois

2018-01-01

Research on collaborative learning between humans and virtual pedagogical agents represents a necessary extension to recent research on the conceptual, theoretical, methodological, analytical, and educational issues behind co- and socially-shared regulated learning between humans. This study presents a novel coding framework that was developed and…

Task-Based Learning and Content and Language Integrated Learning Materials Design: Process and Product

ERIC Educational Resources Information Center

Moore, Pat; Lorenzo, Francisco

2015-01-01

Content and language integrated learning (CLIL) represents an increasingly popular approach to bilingual education in Europe. In this article, we describe and discuss a project which, in response to teachers' pleas for materials, led to the production of a significant bank of task-based primary and secondary CLIL units for three L2s (English,…

Understanding Why a Child Is Struggling to Learn: The Role of Cognitive Processing Evaluation in Learning Disability Identification

ERIC Educational Resources Information Center

Johnson, Evelyn S.

2014-01-01

Learning disabilities (LDs) have long been presumed to be a neurological disorder resulting from a deficit in 1 or more cognitive processes. Although the emphasis on cognitive processing disorders has been included in the definition since the term was coined, and although it arguably represents the key distinguishing characteristic of LDs, it also…

Learning-Style Characteristics of JROTC Cadets and Instructors: Implications for Training and Instruction.

ERIC Educational Resources Information Center

Dunn, Rita; Honigsfeld, Andrea; Martel, Laurence D.

During the year 2000, 1,737 students were randomly selected to represent 231,000 students participating in 1,350 JROTC programs in three regions of the United States. The intention of this study was to identify whether a dominant learning style preference would be revealed for this student population as compared to the learning style of the…

Which Learning Style is Most Effective in Learning Chinese as a Second Language

ERIC Educational Resources Information Center

Ren, Guanxin

2013-01-01

Chinese is not only a tonal but also a visual language represented by tens of thousands of characters which are pictographic in nature. This presents a great challenge to learners whose mother tongue is alphabetical-based such as English. To assist English-speaking background learners to learn Chinese as a Second Language (CSL) well, a good…

Online Teacher Work to Support Self-Regulation of Learning in Students with Disabilities at a Fully Online State Virtual School

ERIC Educational Resources Information Center

Rice, Mary F.; Carter, Richard Allen, Jr.

2016-01-01

Students with disabilities represent a growing number of learners receiving education in K-12 fully online learning programs. They are, unfortunately, also a large segment of the online learning population who are not experiencing success in these environments. In response, scholars have recommended increasing instruction in self-regulation skills…

A Learning Progression for Geometrical Measurement in One, Two, and Three Dimensions. Research Report. ETS RR-17-55

ERIC Educational Resources Information Center

Kim, Eun Mi; Haberstroh, Jeff; Peters, Stephanie; Howell, Heather; Olah, Leslie Nabors

2017-01-01

As part of the CBAL® learning and assessment initiative in mathematics, we developed a hypothesized learning progression (LP) for geometrical measurement in 1, 2, and 3 dimensions based on a synthesis of empirical literature in this field and through expert review. The geometrical measurement LP is intended to represent a developmental progression…

Problem-Based Learning in the Earth and Space Science Classroom, K-12

ERIC Educational Resources Information Center

McConnell, Tom J.; Parker, Joyce; Eberhardt, Janet

2017-01-01

If you've ever asked yourself whether problem-based learning (PBL) can bring new life to both your teaching and your students' learning, here's your answer: Yes. This all-in-one guide will help you engage your students in scenarios that represent real-world science in all its messy, thought-provoking glory. The scenarios will prompt K-12 students…

The Influence of Early Parent Involvement and Depression on Academic Achievement, Psychosocial Behaviors, and Motivation in Children with Learning Disabilities across Elementary School

ERIC Educational Resources Information Center

Mahdavi, Seema

2017-01-01

Children with learning disabilities represent the largest category of students served within special education systems in schools, and are at increased risk for academic and psychosocial problems in comparison to peers without learning disabilities. While much of clinical practice and research focus has been on academic interventions,…

"It's on the Tip of My Google": Intra-Active Performance and the Non-Totalising Learning Environment

ERIC Educational Resources Information Center

Snake-Beings, Emit

2017-01-01

Technologies that expand the learning environment to include interactions outside of the physical space of the classroom, such as the use of Google as an aid to memory, represent one aspect of learning that occurs within several seemingly decentralised spaces. On the other hand, it can be argued that such interactive technologies are enclosed in…

Multimodal Task-Driven Dictionary Learning for Image Classification

DTIC Science & Technology

2015-12-18

1 Multimodal Task-Driven Dictionary Learning for Image Classification Soheil Bahrampour, Student Member, IEEE, Nasser M. Nasrabadi, Fellow, IEEE...Asok Ray, Fellow, IEEE, and W. Kenneth Jenkins, Life Fellow, IEEE Abstract— Dictionary learning algorithms have been suc- cessfully used for both...reconstructive and discriminative tasks, where an input signal is represented with a sparse linear combination of dictionary atoms. While these methods are

Applications of Speech-to-Text Recognition and Computer-Aided Translation for Facilitating Cross-Cultural Learning through a Learning Activity: Issues and Their Solutions

ERIC Educational Resources Information Center

Shadiev, Rustam; Wu, Ting-Ting; Sun, Ai; Huang, Yueh-Min

2018-01-01

In this study, 21 university students, who represented thirteen nationalities, participated in an online cross-cultural learning activity. The participants were engaged in interactions and exchanges carried out on Facebook® and Skype® platforms, and their multilingual communications were supported by speech-to-text recognition (STR) and…

Learning in later life: participation in formal, non-formal and informal activities in a nationally representative Spanish sample.

PubMed

Villar, Feliciano; Celdrán, Montserrat

2013-06-01

This article examines the participation of Spanish older people in formal, non-formal and informal learning activities and presents a profile of participants in each kind of learning activity. We used data from a nationally representative sample of Spanish people between 60 and 75 years old ( n  = 4,703). The data were extracted from the 2007 Encuesta sobre la Participación de la Población Adulta en Actividades de Aprendizaje (EADA, Survey on Adult Population Involvement in Learning Activities). Overall, only 22.8 % of the sample participated in a learning activity. However, there was wide variation in the participation rates for the different types of activity. Informal activities were far more common than formal ones. Multivariate logistic regression indicated that education level and involvement in social and cultural activities were associated with likelihood of participating, regardless of the type of learning activity. When these variables were taken into account, age did not predict decreasing participation, at least in non-formal and informal activities. Implications for further research, future trends and policies to promote older adult education are discussed.

Learning fuzzy information in a hybrid connectionist, symbolic model

NASA Technical Reports Server (NTRS)

Romaniuk, Steve G.; Hall, Lawrence O.

1993-01-01

An instance-based learning system is presented. SC-net is a fuzzy hybrid connectionist, symbolic learning system. It remembers some examples and makes groups of examples into exemplars. All real-valued attributes are represented as fuzzy sets. The network representation and learning method is described. To illustrate this approach to learning in fuzzy domains, an example of segmenting magnetic resonance images of the brain is discussed. Clearly, the boundaries between human tissues are ill-defined or fuzzy. Example fuzzy rules for recognition are generated. Segmentations are presented that provide results that radiologists find useful.

2.5-year-olds use cross-situational consistency to learn verbs under referential uncertainty.

PubMed

Scott, Rose M; Fisher, Cynthia

2012-02-01

Recent evidence shows that children can use cross-situational statistics to learn new object labels under referential ambiguity (e.g., Smith & Yu, 2008). Such evidence has been interpreted as support for proposals that statistical information about word-referent co-occurrence plays a powerful role in word learning. But object labels represent only a fraction of the vocabulary children acquire, and arguably represent the simplest case of word learning based on observations of world scenes. Here we extended the study of cross-situational word learning to a new segment of the vocabulary, action verbs, to permit a stronger test of the role of statistical information in word learning. In two experiments, on each trial 2.5-year-olds encountered two novel intransitive (e.g., "She's pimming!"; Experiment 1) or transitive verbs (e.g., "She's pimming her toy!"; Experiment 2) while viewing two action events. The consistency with which each verb accompanied each action provided the only source of information about the intended referent of each verb. The 2.5-year-olds used cross-situational consistency in verb learning, but also showed significant limits on their ability to do so as the sentences and scenes became slightly more complex. These findings help to define the role of cross-situational observation in word learning. Copyright © 2011 Elsevier B.V. All rights reserved.

2.5-year-olds use cross-situational consistency to learn verbs under referential uncertainty

PubMed Central

Scott, Rose M.; Fisher, Cynthia

2011-01-01

Recent evidence shows that children can use cross-situational statistics to learn new object labels under referential ambiguity (e.g., Smith & Yu, 2008). Such evidence has been interpreted as support for proposals that statistical information about word-referent co-occurrence plays a powerful role in word learning. But object labels represent only a fraction of the vocabulary children acquire, and arguably represent the simplest case of word learning based on observations of world scenes. Here we extended the study of cross-situational word learning to a new segment of the vocabulary, action verbs, to permit a stronger test of the role of statistical information in word learning. In two experiments, on each trial 2.5-year-olds encountered two novel intransitive (e.g., “She’s pimming!”; Experiment 1) or transitive verbs (e.g., “She’s pimming her toy!”; Experiment 2) while viewing two action events. The consistency with which each verb accompanied each action provided the only source of information about the intended referent of each verb. The 2.5-year-olds used cross-situational consistency in verb learning, but also showed significant limits on their ability to do so as the sentences and scenes became slightly more complex. These findings help to define the role of cross-situational observation in word learning. PMID:22104489

Comparison as a Universal Learning Action

ERIC Educational Resources Information Center

Merkulova, T. V.

2016-01-01

This article explores "comparison" as a universal metasubject learning action, a key curricular element envisaged by the Russian Federal State Educational Standards. Representing the modern learner's fundamental pragmatic skill embedding such core capacities as information processing, critical thinking, robust decision-making, and…

Outdoor Play and Learning: Policy and Practice

ERIC Educational Resources Information Center

Burriss, Kathleen; Burriss, Larry

2011-01-01

This study describes national school district policy and practice regarding elementary school children's outdoor learning and play. District representatives from 173 randomly selected school districts completed questionnaires describing policy and practice related to recess, outdoor play, outdoor curricular studies, playground materials, ADA…

Age of acquisition in sport: starting early matters.

PubMed

Hernandez, Arturo E; Mattarella-Micke, Andrew; Redding, Richard W T; Woods, Elizabeth A; Beilock, Sian

2011-01-01

Although the age at which a skill is learned (age of acquisition [AoA]) is one of the most studied predictors of success in domains ranging from language to music, very little work has focused on this factor in sports. In order to uncover how the age at which a skill is learned relates to how athletes cognitively represent that skill, we asked a group of skilled golfers who learned to play golf before (early learners) or after (late learners) the age of 10 to take a series of putts on an indoor putting green. Golfers putted in isolation (single-task condition), while monitoring a stream of words presented over a loudspeaker (dual-task condition), or while being instructed to attend to specific aspects of their golf swing (skill-focused condition). Early and late learners putted equally well in the single-task and dual-task conditions. However, in the skill-focused condition, golfers who learned earlier performed worse than those who learned later. The results are consistent with the notion that AoA influences the manner in which sports, like other domains such as language and music, are represented in memory.

Semi-Supervised Projective Non-Negative Matrix Factorization for Cancer Classification.

PubMed

Zhang, Xiang; Guan, Naiyang; Jia, Zhilong; Qiu, Xiaogang; Luo, Zhigang

2015-01-01

Advances in DNA microarray technologies have made gene expression profiles a significant candidate in identifying different types of cancers. Traditional learning-based cancer identification methods utilize labeled samples to train a classifier, but they are inconvenient for practical application because labels are quite expensive in the clinical cancer research community. This paper proposes a semi-supervised projective non-negative matrix factorization method (Semi-PNMF) to learn an effective classifier from both labeled and unlabeled samples, thus boosting subsequent cancer classification performance. In particular, Semi-PNMF jointly learns a non-negative subspace from concatenated labeled and unlabeled samples and indicates classes by the positions of the maximum entries of their coefficients. Because Semi-PNMF incorporates statistical information from the large volume of unlabeled samples in the learned subspace, it can learn more representative subspaces and boost classification performance. We developed a multiplicative update rule (MUR) to optimize Semi-PNMF and proved its convergence. The experimental results of cancer classification for two multiclass cancer gene expression profile datasets show that Semi-PNMF outperforms the representative methods.

Regularized learning of linear ordered-statistic constant false alarm rate filters (Conference Presentation)

NASA Astrophysics Data System (ADS)

Havens, Timothy C.; Cummings, Ian; Botts, Jonathan; Summers, Jason E.

2017-05-01

The linear ordered statistic (LOS) is a parameterized ordered statistic (OS) that is a weighted average of a rank-ordered sample. LOS operators are useful generalizations of aggregation as they can represent any linear aggregation, from minimum to maximum, including conventional aggregations, such as mean and median. In the fuzzy logic field, these aggregations are called ordered weighted averages (OWAs). Here, we present a method for learning LOS operators from training data, viz., data for which you know the output of the desired LOS. We then extend the learning process with regularization, such that a lower complexity or sparse LOS can be learned. Hence, we discuss what 'lower complexity' means in this context and how to represent that in the optimization procedure. Finally, we apply our learning methods to the well-known constant-false-alarm-rate (CFAR) detection problem, specifically for the case of background levels modeled by long-tailed distributions, such as the K-distribution. These backgrounds arise in several pertinent imaging problems, including the modeling of clutter in synthetic aperture radar and sonar (SAR and SAS) and in wireless communications.

Enacting Conceptual Metaphor through Blending: Learning activities embodying the substance metaphor for energy

NASA Astrophysics Data System (ADS)

Close, Hunter G.; Scherr, Rachel E.

2015-04-01

We demonstrate that a particular blended learning space is especially productive in developing understanding of energy transfers and transformations. In this blended space, naturally occurring learner interactions like body movement, gesture, and metaphorical speech are blended with a conceptual metaphor of energy as a substance in a class of activities called Energy Theater. We illustrate several mechanisms by which the blended aspect of the learning environment promotes productive intellectual engagement with key conceptual issues in the learning of energy, including distinguishing among energy processes, disambiguating matter and energy, identifying energy transfer, and representing energy as a conserved quantity. Conceptual advancement appears to be promoted especially by the symbolic material and social structure of the Energy Theater environment, in which energy is represented by participants and objects are represented by areas demarcated by loops of rope, and by Energy Theater's embodied action, including body locomotion, gesture, and coordination of speech with symbolic spaces in the Energy Theater arena. Our conclusions are (1) that specific conceptual metaphors can be leveraged to benefit science instruction via the blending of an abstract space of ideas with multiple modes of concrete human action, and (2) that participants' structured improvisation plays an important role in leveraging the blend for their intellectual development.

Discovering motion primitives for unsupervised grouping and one-shot learning of human actions, gestures, and expressions.

PubMed

Yang, Yang; Saleemi, Imran; Shah, Mubarak

2013-07-01

This paper proposes a novel representation of articulated human actions and gestures and facial expressions. The main goals of the proposed approach are: 1) to enable recognition using very few examples, i.e., one or k-shot learning, and 2) meaningful organization of unlabeled datasets by unsupervised clustering. Our proposed representation is obtained by automatically discovering high-level subactions or motion primitives, by hierarchical clustering of observed optical flow in four-dimensional, spatial, and motion flow space. The completely unsupervised proposed method, in contrast to state-of-the-art representations like bag of video words, provides a meaningful representation conducive to visual interpretation and textual labeling. Each primitive action depicts an atomic subaction, like directional motion of limb or torso, and is represented by a mixture of four-dimensional Gaussian distributions. For one--shot and k-shot learning, the sequence of primitive labels discovered in a test video are labeled using KL divergence, and can then be represented as a string and matched against similar strings of training videos. The same sequence can also be collapsed into a histogram of primitives or be used to learn a Hidden Markov model to represent classes. We have performed extensive experiments on recognition by one and k-shot learning as well as unsupervised action clustering on six human actions and gesture datasets, a composite dataset, and a database of facial expressions. These experiments confirm the validity and discriminative nature of the proposed representation.

Exploring Representativeness and Informativeness for Active Learning.

PubMed

Du, Bo; Wang, Zengmao; Zhang, Lefei; Zhang, Liangpei; Liu, Wei; Shen, Jialie; Tao, Dacheng

2017-01-01

How can we find a general way to choose the most suitable samples for training a classifier? Even with very limited prior information? Active learning, which can be regarded as an iterative optimization procedure, plays a key role to construct a refined training set to improve the classification performance in a variety of applications, such as text analysis, image recognition, social network modeling, etc. Although combining representativeness and informativeness of samples has been proven promising for active sampling, state-of-the-art methods perform well under certain data structures. Then can we find a way to fuse the two active sampling criteria without any assumption on data? This paper proposes a general active learning framework that effectively fuses the two criteria. Inspired by a two-sample discrepancy problem, triple measures are elaborately designed to guarantee that the query samples not only possess the representativeness of the unlabeled data but also reveal the diversity of the labeled data. Any appropriate similarity measure can be employed to construct the triple measures. Meanwhile, an uncertain measure is leveraged to generate the informativeness criterion, which can be carried out in different ways. Rooted in this framework, a practical active learning algorithm is proposed, which exploits a radial basis function together with the estimated probabilities to construct the triple measures and a modified best-versus-second-best strategy to construct the uncertain measure, respectively. Experimental results on benchmark datasets demonstrate that our algorithm consistently achieves superior performance over the state-of-the-art active learning algorithms.

20 CFR 266.13 - When a new representative payee will be selected.

Code of Federal Regulations, 2010 CFR

2010-04-01

.... When the Board learns that the interests of the annuitant are not served by continuing payment to the... wishes to be representative payee; (e) Is unable to manage the benefit payments; or (f) Fails to...

20 CFR 266.13 - When a new representative payee will be selected.

Code of Federal Regulations, 2011 CFR

2011-04-01

.... When the Board learns that the interests of the annuitant are not served by continuing payment to the... wishes to be representative payee; (e) Is unable to manage the benefit payments; or (f) Fails to...

Human infants' learning of social structures: the case of dominance hierarchy.

PubMed

Mascaro, Olivier; Csibra, Gergely

2014-01-01

We tested 15-month-olds' capacity to represent social-dominance hierarchies with more than two agents. Our results showed that infants found it harder to memorize dominance relations that were presented in an order that hindered the incremental formation of a single structure (Study 1). These results suggest that infants attempt to build structures incrementally, relation by relation, thereby simplifying the complex problem of recognizing a social structure. Infants also found circular dominance structures harder to process than linear dominance structures (Study 2). These expectations about the shape of structures may facilitate learning. Our results suggest that infants attempt to represent social structures composed of social relations. They indicate that human infants go beyond learning about individual social partners and their respective relations and form hypotheses about how social groups are organized.

A Review of e-Learning in Canada: A Rough Sketch of the Evidence, Gaps and Promising Directions

ERIC Educational Resources Information Center

Abrami, Philip C.; Bernard, Robert M.; Wade, Anne; Schmid, Richard F.; Borokhovski, Eugene; Tamim, Rana; Surkes, Michael; Lowerison, Gretchen; Zhang, Dai; Nicolaidou, Iolie; Newman, Sherry; Wozney, Lori; Peretiatkowicz, Anna

2006-01-01

This review provides a rough sketch of the evidence, gaps and promising directions in e-learning from 2000 onwards, with a particular focus on Canada. The authors searched a wide range of sources and document types to ensure that we represented, comprehensively, the arguments surrounding e-learning. Overall, there were 2,042 entries in their…

First-Year Students' Approaches to Learning, and Factors Related to Change or Stability in Their Deep Approach during a Pharmacy Course

ERIC Educational Resources Information Center

Varunki, Maaret; Katajavuori, Nina; Postareff, Liisa

2017-01-01

Research shows that a surface approach to learning is more common among students in the natural sciences, while students representing the "soft" sciences are more likely to apply a deep approach. However, findings conflict concerning the stability of approaches to learning in general. This study explores the variation in students'…

Parent Beliefs about the Causes of Learning and Developmental Problems among Children with Autism Spectrum Disorder: Results from a National Survey

ERIC Educational Resources Information Center

Zuckerman, Katharine E.; Lindly, Olivia J.; Sinche, Brianna

2016-01-01

This study aimed to assess variation in parent beliefs about causes of learning and developmental problems in U.S. children with autism spectrum disorder, using data from a nationally representative survey. Results showed that beliefs about a genetic/hereditary cause of learning/developmental problems were most common, but nearly as many parents…

Practice, supervision, consultancy and appraisal: a continuum of learning.

PubMed Central

Launer, John

2003-01-01

I examine four different kinds of learning conversation: reflective practice, clinical supervision, work consultancy and performance appraisal. I propose that there is a close and reciprocal relationship between these kinds of conversation, and that they represent different aspects of a unified field, or continuum. I argue that appraisal should be seen as part of this learning continuum rather than as form of monitoring. PMID:14601347

What We Can Learn about Strategies, Language Learning, and Life from Two Extreme Cases: The Role of Well-Being Theory

ERIC Educational Resources Information Center

Oxford, Rebecca L.

2014-01-01

This article presents two foreign or second language (L2) learner histories representing the extreme ends of the spectrum of learner well-being. One story reflects the very positive learning experiences of a highly strategic learner, while the other story focuses on a less strategic learner's negative, long-lasting responses to a single traumatic…

Storytelling: a teaching-learning technique.

PubMed

Geanellos, R

1996-03-01

Nurses' stories, arising from the practice world, reconstruct the essence of experience as lived and provide vehicles for learning about nursing. The learning process is forwarded by combining storytelling and reflection. Reflection represents an active, purposive, contemplative and deliberative approach to learning through which learners create meaning from the learning experience. The combination of storytelling and reflection allows the creation of links between the materials at hand and prior and future learning. As a teaching-learning technique storytelling engages learners; organizes information; allows exploration of shared lived experiences without the demands, responsibilities and consequences of practice; facilitates remembering; enhances discussion, problem posing and problem solving; and aids understanding of what it is to nurse and to be a nurse.

Worksite Training. ERIC Digest No. 109.

ERIC Educational Resources Information Center

Lankard, Bettina A.

Economic, social, and technological changes highlight the value of human resources and employee training. Acquiring the knowledge and skills demanded of today's workers represents a lifelong learning experience that must be nurtured through work-related learning activities and workplace training. For the employer, training supports organizational…

Innovative Assessments That Support Students' STEM Learning

ERIC Educational Resources Information Center

Thummaphan, Phonraphee

2017-01-01

The present study aimed to represent the innovative assessments that support students' learning in STEM education through using the integrative framework for Cognitive Diagnostic Modeling (CDM). This framework is based on three components, cognition, observation, and interpretation (National Research Council, 2001). Specifically, this dissertation…

77 FR 27015 - Distance Learning and Telemedicine Grant Program

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-08

... aforementioned Notice, which have been evaluated and scored, represent exemplary projects in their use of telecommunications, computer networks, and related advanced technologies to encourage and improve telemedicine services and distance learning services in rural areas. Only a limited number of these projects, however...

Bridging Continents: Technology Trends Today and Tomorrow.

ERIC Educational Resources Information Center

Cornell, Richard

2002-01-01

Investigates the extent to which electronic learning represents an emergent pedagogy that will be employed not only by corporations, but also by educational institutions, government agencies, and major transportation carriers around the world. Focuses on the relationship of electronic learning to diverse cultures. (Author/LRW)

Principal Leadership of Data Team Protocols within a Professional Learning Community

ERIC Educational Resources Information Center

Chambers, Charmelle

2014-01-01

The following document represents a Problem Based Learning Project (PBL) focusing on school leadership practices leading to increased student achievement. Current research findings indicate effective principals recognize the importance of building teacher capacity through promoting collaborative team work. School principals effectively leading…

The Summer Learning of Exceptional Students

ERIC Educational Resources Information Center

Gershenson, Seth; Hayes, Michael S.

2017-01-01

The summer activities and summer learning of exceptional students--students who have an individualized education plan or who are English-language learners--are potentially important yet understudied. We analyze nationally representative survey data to fill this gap. Exceptional students are significantly less likely than their mainstream…

Toddler Working Memory Skills Predict Kindergarten School Readiness

ERIC Educational Resources Information Center

Fitzpatrick, Caroline; Pagani, Linda S.

2012-01-01

Converging findings in psychology, neuroscience, education, and economics suggests that child persistence in learning represents an important determinant of academic success during the school years. Nevertheless, the developmental origins of productive learning behaviors are not well understood. Some findings suggest that executive function skills…

Supporting Inquiry in Science Classrooms with the Web

ERIC Educational Resources Information Center

Simons, Krista; Clark, Doug

2005-01-01

This paper focuses on Web-based science inquiry and five representative science learning environments. The discussion centers around features that sustain science inquiry, namely, data-driven investigation, modeling, collaboration, and scaffolding. From the perspective of these features five science learning environments are detailed: Whyville,…

Meaningful and Purposeful Practice

ERIC Educational Resources Information Center

Clementi, Donna

2014-01-01

This article describes a graphic, designed by Clementi and Terrill, the authors of "Keys to Planning for Learning" (2013), visually representing the components that contribute to meaningful and purposeful practice in learning a world language, practice that leads to greater proficiency. The entire graphic is centered around the letter…

E-Learning Systems: Promises and Pitfalls

ERIC Educational Resources Information Center

Chan, Carlyle H.; Robbins, Lisa I.

2006-01-01

Objective: This review examines the use of e-learning systems in psychiatric education. Method: The authors review the Instructional System Design process, focusing on ADDIE (Analysis, Design, Development, Implementation, and Evaluation). The authors also report on two representative teaching projects, discussing the planning, work, and assessment…

Threshold Concepts in Biochemistry

ERIC Educational Resources Information Center

Loertscher, Jennifer

2011-01-01

Threshold concepts can be identified for any discipline and provide a framework for linking student learning to curricular design. Threshold concepts represent a transformed understanding of a discipline, without which the learner cannot progress and are therefore pivotal in learning in a discipline. Although threshold concepts have been…

Probabilistic machine learning and artificial intelligence.

PubMed

Ghahramani, Zoubin

2015-05-28

How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This Review provides an introduction to this framework, and discusses some of the state-of-the-art advances in the field, namely, probabilistic programming, Bayesian optimization, data compression and automatic model discovery.

Probabilistic machine learning and artificial intelligence

NASA Astrophysics Data System (ADS)

Ghahramani, Zoubin

2015-05-01

How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This Review provides an introduction to this framework, and discusses some of the state-of-the-art advances in the field, namely, probabilistic programming, Bayesian optimization, data compression and automatic model discovery.

Hybrid computing using a neural network with dynamic external memory.

PubMed

Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward; Ramalho, Tiago; Agapiou, John; Badia, Adrià Puigdomènech; Hermann, Karl Moritz; Zwols, Yori; Ostrovski, Georg; Cain, Adam; King, Helen; Summerfield, Christopher; Blunsom, Phil; Kavukcuoglu, Koray; Hassabis, Demis

2016-10-27

Artificial neural networks are remarkably adept at sensory processing, sequence learning and reinforcement learning, but are limited in their ability to represent variables and data structures and to store data over long timescales, owing to the lack of an external memory. Here we introduce a machine learning model called a differentiable neural computer (DNC), which consists of a neural network that can read from and write to an external memory matrix, analogous to the random-access memory in a conventional computer. Like a conventional computer, it can use its memory to represent and manipulate complex data structures, but, like a neural network, it can learn to do so from data. When trained with supervised learning, we demonstrate that a DNC can successfully answer synthetic questions designed to emulate reasoning and inference problems in natural language. We show that it can learn tasks such as finding the shortest path between specified points and inferring the missing links in randomly generated graphs, and then generalize these tasks to specific graphs such as transport networks and family trees. When trained with reinforcement learning, a DNC can complete a moving blocks puzzle in which changing goals are specified by sequences of symbols. Taken together, our results demonstrate that DNCs have the capacity to solve complex, structured tasks that are inaccessible to neural networks without external read-write memory.

Learning and feedback from the Danish patient safety incident reporting system can be improved.

PubMed

Moeller, Anders Damgaard; Rasmussen, Kurt; Nielsen, Kent Jacob

2016-06-01

The perceived usefulness of incident reporting systems is an important motivational factor for reporting. The usefulness may be facilitated by well-established feedback mechanisms and by learning processes. The aim of this study was to investigate how feedback mechanisms and learning processes were implemented at four Danish hospital units all located in one of the five Danish regions. Based on the concepts of feedback and learning from incident processes, a questionnaire was developed and distributed to 335 patient safety representatives from 200 departments at four Danish hospital units in one of the five Danish regions. The study showed that external reporters were rarely contacted for dialogue, grouped front-line staff were sparsely involved in the learning process, few evaluated the effectiveness of implemented interventions and personal factors were frequently perceived as a primary contributory factor to these incidents. In contrast, the patient safety representatives perceived their competencies as sufficient for the job, internal reporters were often contacted for dialogue, evaluation was widely used and management supported the work with incident reports. The results of the study identified several shortcomings in the implementation of learning processes and feedback mechanisms. The apparent existence of a person-focused approach stands out as an element of notice. The insufficient implementation we observed indicates that there is room for improvement in the efforts made to maximise learning from incidents in the investigated population. not relevant. not relevant.

20 CFR 416.650 - When will we select a new representative payee for you?

Code of Federal Regulations, 2010 CFR

2010-04-01

... new representative payee for you? When we learn that your interest is not served by sending your... this subpart; (d) Dies; (e) No longer wishes to be your payee; (f) Is unable to manage your benefit...

75 FR 63470 - National and Governmental Advisory Committees to the U.S. Representative to the Commission for...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-15

... as the U.S. Representative to the CEC Council. The Committees are authorized under Articles 17 and 18... Plan, the CEC's 2010-2015 Strategic Plan, and learn about regional environmental issues. The meeting...

20 CFR 416.650 - When will we select a new representative payee for you?

Code of Federal Regulations, 2011 CFR

2011-04-01

... new representative payee for you? When we learn that your interest is not served by sending your... this subpart; (d) Dies; (e) No longer wishes to be your payee; (f) Is unable to manage your benefit...

Off-line simulation inspires insight: A neurodynamics approach to efficient robot task learning.

PubMed

Sousa, Emanuel; Erlhagen, Wolfram; Ferreira, Flora; Bicho, Estela

2015-12-01

There is currently an increasing demand for robots able to acquire the sequential organization of tasks from social learning interactions with ordinary people. Interactive learning-by-demonstration and communication is a promising research topic in current robotics research. However, the efficient acquisition of generalized task representations that allow the robot to adapt to different users and contexts is a major challenge. In this paper, we present a dynamic neural field (DNF) model that is inspired by the hypothesis that the nervous system uses the off-line re-activation of initial memory traces to incrementally incorporate new information into structured knowledge. To achieve this, the model combines fast activation-based learning to robustly represent sequential information from single task demonstrations with slower, weight-based learning during internal simulations to establish longer-term associations between neural populations representing individual subtasks. The efficiency of the learning process is tested in an assembly paradigm in which the humanoid robot ARoS learns to construct a toy vehicle from its parts. User demonstrations with different serial orders together with the correction of initial prediction errors allow the robot to acquire generalized task knowledge about possible serial orders and the longer term dependencies between subgoals in very few social learning interactions. This success is shown in a joint action scenario in which ARoS uses the newly acquired assembly plan to construct the toy together with a human partner. Copyright © 2015 Elsevier Ltd. All rights reserved.

Sparse Modeling of Human Actions from Motion Imagery

DTIC Science & Technology

2011-09-02

is here developed. Spatio-temporal features that char- acterize local changes in the image are rst extracted. This is followed by the learning of a...video comes from the optimal sparse linear com- bination of the learned basis vectors (action primitives) representing the actions. A low...computational cost deep-layer model learning the inter- class correlations of the data is added for increasing discriminative power. In spite of its simplicity

The Evolution of Instrument Flying in the U.S. Army.

DTIC Science & Technology

1988-04-01

had learned to fly in World War One without instruments. They either distrusted instruments and avoided clouds, or were "seat-of- the-pants" flyers...hooded flight training, Basic students received six hours, and Advanced students received fifteen. Primary and Basic students learned aircraft control and...instrument maneuvers while Advanced students learned radio-navigation.;’ The twenty-seven hours of instrument 23 flying represented 11 percent of the

Arts and Learning Research, 1994. The Journal of the Arts and Learning Special Interest Group of the American Educational Research Association (New Orleans, Louisiana, April 1994).

ERIC Educational Resources Information Center

Blair, Lorrie, Ed.; Morbey, Mary Leigh, Ed.

1994-01-01

The research papers gathered in this volume were presented at the 1994 meeting of the American Educational Research Association as part of the Arts and Learning Special Interest Group program. Papers collected in the volume represent an eclectic view of arts education and include music education. Following an editorial, papers are: "Arts and…

The Use of a Learning Management System (LMS) to Serve as the Virtual Common Space of a Network for the Scholarship of Teaching and Learning (SoTL) in an Academic Department

ERIC Educational Resources Information Center

Bradley, Nicolette; Jadeski, Lorraine; Newton, Genevieve; Ritchie, Kerry; Merrett, Scott; Bettger, William

2013-01-01

Traditionally, undergraduate curriculum committees, consisting of appointed faculty and student representatives, have served as the sole departmental vehicle for investigating, discussing and promoting the scholarship of teaching and learning (SoTL) within an academic department. However, with the universal demand for greater accountability on all…

Cross-View Action Recognition via Transferable Dictionary Learning.

PubMed

Zheng, Jingjing; Jiang, Zhuolin; Chellappa, Rama

2016-05-01

Discriminative appearance features are effective for recognizing actions in a fixed view, but may not generalize well to a new view. In this paper, we present two effective approaches to learn dictionaries for robust action recognition across views. In the first approach, we learn a set of view-specific dictionaries where each dictionary corresponds to one camera view. These dictionaries are learned simultaneously from the sets of correspondence videos taken at different views with the aim of encouraging each video in the set to have the same sparse representation. In the second approach, we additionally learn a common dictionary shared by different views to model view-shared features. This approach represents the videos in each view using a view-specific dictionary and the common dictionary. More importantly, it encourages the set of videos taken from the different views of the same action to have the similar sparse representations. The learned common dictionary not only has the capability to represent actions from unseen views, but also makes our approach effective in a semi-supervised setting where no correspondence videos exist and only a few labeled videos exist in the target view. The extensive experiments using three public datasets demonstrate that the proposed approach outperforms recently developed approaches for cross-view action recognition.

Learned Interval Time Facilitates Associate Memory Retrieval

ERIC Educational Resources Information Center

van de Ven, Vincent; Kochs, Sarah; Smulders, Fren; De Weerd, Peter

2017-01-01

The extent to which time is represented in memory remains underinvestigated. We designed a time paired associate task (TPAT) in which participants implicitly learned cue-time-target associations between cue-target pairs and specific cue-target intervals. During subsequent memory testing, participants showed increased accuracy of identifying…

Civic Learning through Public Scholarship: Coherence among Diverse Disciplines

ERIC Educational Resources Information Center

Dostilio, Lina D.; Conti, Norman; Kronk, Rebecca; Weideman, Yvonne L.; Woodley, Sarah K.; Trun, Nancy

2013-01-01

This article presents three cases of community-engaged, or "public," scholarship across diverse disciplines (social science, natural science, and health science) in which the rigid boundaries of what has been conceived as traditional service-learning have been blurred. The innovations represented within these cases explicitly address…

Researching Undergraduate Social Science Research

ERIC Educational Resources Information Center

Rand, Jane

2016-01-01

The experience(s) of undergraduate research students in the social sciences is under-represented in the literature in comparison to the natural sciences or science, technology, engineering and maths (STEM). The strength of STEM undergraduate research learning environments is understood to be related to an apprenticeship-mode of learning supported…

TEx-Sys Model for Building Intelligent Tutoring Systems

ERIC Educational Resources Information Center

Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani

2008-01-01

Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…

Using Stories to Facilitate Learning

ERIC Educational Resources Information Center

McNett, Gabriel

2016-01-01

Stories represent a fundamental way by which we interpret our experiences. They tap into our natural predispositions of seeking pattern, perceiving agency, simulating and connecting events, and imputing meaning into what we experience. Instructors can take advantage of this predisposition and facilitate student learning by viewing stories from a…

MOOC Quality: The Need for New Measures

ERIC Educational Resources Information Center

Hood, Nina; Littlejohn, Allison

2016-01-01

MOOCs are re-operationalising traditional concepts in education. While they draw on elements of existing educational and learning models, they represent a new approach to instruction and learning. The challenges MOOCs present to traditional education models have important implications for approaching and assessing quality. This paper foregrounds…

A Perfect Storm

ERIC Educational Resources Information Center

Jones, Bill

2009-01-01

The present state of adult education is perilous, as all readers of "Adults Learning" will know well. All sectors are damagingly affected by funding decisions, as witnessed by the large numbers of organisations and providers represented at the recent Parliamentary lobby by the Campaigning Alliance for Lifelong Learning (CALL). The damage…

Socioeconomic Variation, Number Competence, and Mathematics Learning Difficulties in Young Children

ERIC Educational Resources Information Center

Jordan, Nancy C.; Levine, Susan C.

2009-01-01

As a group, children from disadvantaged, low-income families perform substantially worse in mathematics than their counterparts from higher-income families. Minority children are disproportionately represented in low-income populations, resulting in significant racial and social-class disparities in mathematics learning linked to diminished…

Computers as Cognitive Tools.

ERIC Educational Resources Information Center

Lajoie, Susanne P., Ed.; Derry, Sharon J., Ed.

This book provides exemplars of the types of computer-based learning environments represented by the theoretical camps within the field and the practical applications of the theories. The contributors discuss a variety of computer applications to learning, ranging from school-related topics such as geometry, algebra, biology, history, physics, and…

Cognitive Clusters in Specific Learning Disorder

ERIC Educational Resources Information Center

Poletti, Michele; Carretta, Elisa; Bonvicini, Laura; Giorgi-Rossi, Paolo

2018-01-01

The heterogeneity among children with learning disabilities still represents a barrier and a challenge in their conceptualization. Although a dimensional approach has been gaining support, the categorical approach is still the most adopted, as in the recent fifth edition of the "Diagnostic and Statistical Manual of Mental Disorders." The…

A Learning Progression for Elementary Students' Functional Thinking

ERIC Educational Resources Information Center

Stephens, Ana C.; Fonger, Nicole; Strachota, Susanne; Isler, Isil; Blanton, Maria; Knuth, Eric; Murphy Gardiner, Angela

2017-01-01

In this article we advance characterizations of and supports for elementary students' progress in generalizing and representing functional relationships as part of a comprehensive approach to early algebra. Our learning progressions approach to early algebra research involves the coordination of a curricular framework and progression, an…

A Visual Detection Learning Model

NASA Technical Reports Server (NTRS)

Beard, Bettina L.; Ahumada, Albert J., Jr.; Trejo, Leonard (Technical Monitor)

1998-01-01

Our learning model has memory templates representing the target-plus-noise and noise-alone stimulus sets. The best correlating template determines the response. The correlations and the feedback participate in the additive template updating rule. The model can predict the relative thresholds for detection in random, fixed and twin noise.

Twelve Schools That Succeed.

ERIC Educational Resources Information Center

Horenstein, Mary Ann

This booklet describes 12 Blue Ribbon secondary schools chosen during the 1991 federal recognition program. Representing a cross-section of America, these schools are characterized by a clear vision; empowered, hard-working teachers; a school environment that supports learning; use of local resources; and programs other than classroom learning.…

Academic Content, Student Learning, and the Persistence of Preschool Effects

ERIC Educational Resources Information Center

Claessens, Amy; Engel, Mimi; Curran, F. Chris

2014-01-01

Little research has examined the relationship between academic content coverage in kindergarten and student achievement. Using nationally representative data, we examine the association between reading and mathematics content coverage in kindergarten and student learning, both overall and for students who attended preschool, Head Start, or…

Atypical biological motion kinematics are represented by complementary lower-level and top-down processes during imitation learning.

PubMed

Hayes, Spencer J; Dutoy, Chris A; Elliott, Digby; Gowen, Emma; Bennett, Simon J

2016-01-01

Learning a novel movement requires a new set of kinematics to be represented by the sensorimotor system. This is often accomplished through imitation learning where lower-level sensorimotor processes are suggested to represent the biological motion kinematics associated with an observed movement. Top-down factors have the potential to influence this process based on the social context, attention and salience, and the goal of the movement. In order to further examine the potential interaction between lower-level and top-down processes in imitation learning, the aim of this study was to systematically control the mediating effects during an imitation of biological motion protocol. In this protocol, we used non-human agent models that displayed different novel atypical biological motion kinematics, as well as a control model that displayed constant velocity. Importantly the three models had the same movement amplitude and movement time. Also, the motion kinematics were displayed in the presence, or absence, of end-state-targets. Kinematic analyses showed atypical biological motion kinematics were imitated, and that this performance was different from the constant velocity control condition. Although the imitation of atypical biological motion kinematics was not modulated by the end-state-targets, movement time was more accurate in the absence, compared to the presence, of an end-state-target. The fact that end-state targets modulated movement time accuracy, but not biological motion kinematics, indicates imitation learning involves top-down attentional, and lower-level sensorimotor systems, which operate as complementary processes mediated by the environmental context. Copyright © 2015 Elsevier B.V. All rights reserved.

Nonparametric, Coupled ,Bayesian ,Dictionary ,and Classifier Learning for Hyperspectral Classification.

PubMed

Akhtar, Naveed; Mian, Ajmal

2017-10-03

We present a principled approach to learn a discriminative dictionary along a linear classifier for hyperspectral classification. Our approach places Gaussian Process priors over the dictionary to account for the relative smoothness of the natural spectra, whereas the classifier parameters are sampled from multivariate Gaussians. We employ two Beta-Bernoulli processes to jointly infer the dictionary and the classifier. These processes are coupled under the same sets of Bernoulli distributions. In our approach, these distributions signify the frequency of the dictionary atom usage in representing class-specific training spectra, which also makes the dictionary discriminative. Due to the coupling between the dictionary and the classifier, the popularity of the atoms for representing different classes gets encoded into the classifier. This helps in predicting the class labels of test spectra that are first represented over the dictionary by solving a simultaneous sparse optimization problem. The labels of the spectra are predicted by feeding the resulting representations to the classifier. Our approach exploits the nonparametric Bayesian framework to automatically infer the dictionary size--the key parameter in discriminative dictionary learning. Moreover, it also has the desirable property of adaptively learning the association between the dictionary atoms and the class labels by itself. We use Gibbs sampling to infer the posterior probability distributions over the dictionary and the classifier under the proposed model, for which, we derive analytical expressions. To establish the effectiveness of our approach, we test it on benchmark hyperspectral images. The classification performance is compared with the state-of-the-art dictionary learning-based classification methods.

Using Learning Strategies to Inhibit the Nocebo Effect.

PubMed

Quinn, Veronica F; Colagiuri, Ben

2018-01-01

Learning is a key mechanism underpinning the development of the nocebo effect. The learning literature has cataloged and explored numerous ways in which the environment can be manipulated to prevent, reduce, or eradicate learning. Knowledge of these processes could be used to both inhibit the development of nocebo effects and reduce already established nocebo learning. This review describes the available evidence on how such learning strategies have, or could be, applied to reduce the nocebo effect in both healthy participants and patients to date. These learning strategies include overshadowing, latent inhibition, extinction, and contingency degradation. These strategies represent important new avenues for investigation and should be used by researchers to design and test interventions to reduce nocebo effects. © 2018 Elsevier Inc. All rights reserved.

Organizational culture in cardiovascular care in Chinese hospitals: a descriptive cross-sectional study.

PubMed

Yin, Emily S; Downing, Nicholas S; Li, Xi; Singer, Sara J; Curry, Leslie A; Li, Jing; Krumholz, Harlan M; Jiang, Lixin

2015-12-21

Organizational learning, the process by which a group changes its behavior in response to newly acquired knowledge, is critical to outstanding organizational performance. In hospitals, strong organizational learning culture is linked with improved health outcomes for patients. This study characterizes the organizational learning culture of hospitals in China from the perspective of a cardiology service. Using a modified Abbreviated Learning Organization Survey (27 questions), we characterized organizational learning culture in a nationally representative sample of 162 Chinese hospitals, selecting 2 individuals involved with cardiovascular care at each hospital. Responses were analyzed at the hospital level by calculating the average of the two responses to each question. Responses were categorized as positive if they were 5+ on a 7-point scale or 4+ on a 5-point scale. Univariate and multiple regression analyses were used to assess the relationship between selected hospital characteristics and perceptions of organizational learning culture. Of the 324 participants invited to take the survey, 316 responded (98 % response rate). Perceptions of organizational learning culture varied among items, among domains, and both among and within hospitals. Overall, the median proportion of positive responses was 82 % (interquartile range = 59 % to 93 %). "Training," "Performance Monitoring," and "Leadership that Reinforces Learning" were characterized as the most favorable domains, while "Time for Reflection" was the least favorable. Multiple regression analyses showed that region was the only factor significantly correlated with overall positive response rate. This nationally representative survey demonstrated variation in hospital organizational learning culture among hospitals in China. The variation was not substantially explained by hospital characteristics. Organizational learning culture domains with lower positive response rates reveal important areas for improvement.

Active learning strategies for the deduplication of electronic patient data using classification trees.

PubMed

Sariyar, M; Borg, A; Pommerening, K

2012-10-01

Supervised record linkage methods often require a clerical review to gain informative training data. Active learning means to actively prompt the user to label data with special characteristics in order to minimise the review costs. We conducted an empirical evaluation to investigate whether a simple active learning strategy using binary comparison patterns is sufficient or if string metrics together with a more sophisticated algorithm are necessary to achieve high accuracies with a small training set. Based on medical registry data with different numbers of attributes, we used active learning to acquire training sets for classification trees, which were then used to classify the remaining data. Active learning for binary patterns means that every distinct comparison pattern represents a stratum from which one item is sampled. Active learning for patterns consisting of the Levenshtein string metric values uses an iterative process where the most informative and representative examples are added to the training set. In this context, we extended the active learning strategy by Sarawagi and Bhamidipaty (2002). On the original data set, active learning based on binary comparison patterns leads to the best results. When dropping four or six attributes, using string metrics leads to better results. In both cases, not more than 200 manually reviewed training examples are necessary. In record linkage applications where only forename, name and birthday are available as attributes, we suggest the sophisticated active learning strategy based on string metrics in order to achieve highly accurate results. We recommend the simple strategy if more attributes are available, as in our study. In both cases, active learning significantly reduces the amount of manual involvement in training data selection compared to usual record linkage settings. Copyright © 2012 Elsevier Inc. All rights reserved.

SUSTAIN: a network model of category learning.

PubMed

Love, Bradley C; Medin, Douglas L; Gureckis, Todd M

2004-04-01

SUSTAIN (Supervised and Unsupervised STratified Adaptive Incremental Network) is a model of how humans learn categories from examples. SUSTAIN initially assumes a simple category structure. If simple solutions prove inadequate and SUSTAIN is confronted with a surprising event (e.g., it is told that a bat is a mammal instead of a bird), SUSTAIN recruits an additional cluster to represent the surprising event. Newly recruited clusters are available to explain future events and can themselves evolve into prototypes-attractors-rules. SUSTAIN's discovery of category substructure is affected not only by the structure of the world but by the nature of the learning task and the learner's goals. SUSTAIN successfully extends category learning models to studies of inference learning, unsupervised learning, category construction, and contexts in which identification learning is faster than classification learning.

Efficient model learning methods for actor-critic control.

PubMed

Grondman, Ivo; Vaandrager, Maarten; Buşoniu, Lucian; Babuska, Robert; Schuitema, Erik

2012-06-01

We propose two new actor-critic algorithms for reinforcement learning. Both algorithms use local linear regression (LLR) to learn approximations of the functions involved. A crucial feature of the algorithms is that they also learn a process model, and this, in combination with LLR, provides an efficient policy update for faster learning. The first algorithm uses a novel model-based update rule for the actor parameters. The second algorithm does not use an explicit actor but learns a reference model which represents a desired behavior, from which desired control actions can be calculated using the inverse of the learned process model. The two novel methods and a standard actor-critic algorithm are applied to the pendulum swing-up problem, in which the novel methods achieve faster learning than the standard algorithm.

Toward Collaboration Sensing

ERIC Educational Resources Information Center

Schneider, Bertrand; Pea, Roy

2014-01-01

We describe preliminary applications of network analysis techniques to eye-tracking data collected during a collaborative learning activity. This paper makes three contributions: first, we visualize collaborative eye-tracking data as networks, where the nodes of the graph represent fixations and edges represent saccades. We found that those…

A computational account of the development of the generalization of shape information.

PubMed

Doumas, Leonidas A A; Hummel, John E

2010-05-01

Abecassis, Sera, Yonas, and Schwade (2001) showed that young children represent shapes more metrically, and perhaps more holistically, than do older children and adults. How does a child transition from representing objects and events as undifferentiated wholes to representing them explicitly in terms of their attributes? According to RBC (Recognition-by-Components theory; Biederman, 1987), objects are represented as collections of categorical geometric parts ("geons") in particular categorical spatial relations. We propose that the transition from holistic to more categorical visual shape processing is a function of the development of geon-like representations via a process of progressive intersection discovery. We present an account of this transition in terms of DORA (Doumas, Hummel, & Sandhofer, 2008), a model of the discovery of relational concepts. We demonstrate that DORA can learn representations of single geons by comparing objects composed of multiple geons. In addition, as DORA is learning it follows the same performance trajectory as children, originally generalizing shape more metrically/holistically and eventually generalizing categorically. Copyright © 2010 Cognitive Science Society, Inc.

Tone of voice guides word learning in informative referential contexts.

PubMed

Reinisch, Eva; Jesse, Alexandra; Nygaard, Lynne C

2013-06-01

Listeners infer which object in a visual scene a speaker refers to from the systematic variation of the speaker's tone of voice (ToV). We examined whether ToV also guides word learning. During exposure, participants heard novel adjectives (e.g., "daxen") spoken with a ToV representing hot, cold, strong, weak, big, or small while viewing picture pairs representing the meaning of the adjective and its antonym (e.g., elephant-ant for big-small). Eye fixations were recorded to monitor referent detection and learning. During test, participants heard the adjectives spoken with a neutral ToV, while selecting referents from familiar and unfamiliar picture pairs. Participants were able to learn the adjectives' meanings, and, even in the absence of informative ToV, generalize them to new referents. A second experiment addressed whether ToV provides sufficient information to infer the adjectival meaning or needs to operate within a referential context providing information about the relevant semantic dimension. Participants who saw printed versions of the novel words during exposure performed at chance during test. ToV, in conjunction with the referential context, thus serves as a cue to word meaning. ToV establishes relations between labels and referents for listeners to exploit in word learning.

Discriminative Dictionary Learning With Two-Level Low Rank and Group Sparse Decomposition for Image Classification.

PubMed

Wen, Zaidao; Hou, Zaidao; Jiao, Licheng

2017-11-01

Discriminative dictionary learning (DDL) framework has been widely used in image classification which aims to learn some class-specific feature vectors as well as a representative dictionary according to a set of labeled training samples. However, interclass similarities and intraclass variances among input samples and learned features will generally weaken the representability of dictionary and the discrimination of feature vectors so as to degrade the classification performance. Therefore, how to explicitly represent them becomes an important issue. In this paper, we present a novel DDL framework with two-level low rank and group sparse decomposition model. In the first level, we learn a class-shared and several class-specific dictionaries, where a low rank and a group sparse regularization are, respectively, imposed on the corresponding feature matrices. In the second level, the class-specific feature matrix will be further decomposed into a low rank and a sparse matrix so that intraclass variances can be separated to concentrate the corresponding feature vectors. Extensive experimental results demonstrate the effectiveness of our model. Compared with the other state-of-the-arts on several popular image databases, our model can achieve a competitive or better performance in terms of the classification accuracy.

Machine learning, social learning and the governance of self-driving cars.

PubMed

Stilgoe, Jack

2018-02-01

Self-driving cars, a quintessentially 'smart' technology, are not born smart. The algorithms that control their movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine learning, as well as a test case for social learning in technology governance. Society is learning about the technology while the technology learns about society. Understanding and governing the politics of this technology means asking 'Who is learning, what are they learning and how are they learning?' Focusing on the successes and failures of social learning around the much-publicized crash of a Tesla Model S in 2016, I argue that trajectories and rhetorics of machine learning in transport pose a substantial governance challenge. 'Self-driving' or 'autonomous' cars are misnamed. As with other technologies, they are shaped by assumptions about social needs, solvable problems, and economic opportunities. Governing these technologies in the public interest means improving social learning by constructively engaging with the contingencies of machine learning.

Learning about the Benetic Code via Programming: Representing the Process of Translation.

ERIC Educational Resources Information Center

Ploger, Don

1991-01-01

This study examined the representations that a 16-year-old student made using the flexible computer system, "Boxer," in learning the genetic code. Results indicated that programing made it easier to build and explore flexible and useful representations and encouraged interdisciplinary collaboration between mathematics and biology…

Multiple Intelligences to Promote Metacognition in the Online Learning Environment

ERIC Educational Resources Information Center

Stewart, Daniel P.

2013-01-01

This representative embedded study embraced hermeneutic qualitative methods and was grounded in the constructivist paradigm. The study explored how Howard Gardner's Theory of Multiple Intelligences (MI), promoted metacognition leading to self-efficacy in online learning. The number of colleges offering online courses has grown tremendously,…

Aspects of the Teaching of Russian.

ERIC Educational Resources Information Center

Baker, Robert L.

The process of learning Russian should be no more difficult than the process of learning other languages although it may take somewhat longer. The phonetic system should not present major difficulties with respect to individual sounds, but intonation may be difficult because Russian pitch patterns represent different intentions and emotions than…

The First "R": Evidence-Based Reading Instruction for Students with Learning Disabilities

ERIC Educational Resources Information Center

Ritchey, Kristen D.

2011-01-01

Students with learning disabilities (LD) represent a significant proportion of students enrolled in U.S. schools. Research suggests that students with LD in reading benefit from specialized reading instruction, and effective reading instruction can be characterized as explicit, intensive, and systematic. Examples of evidence-based interventions…

Moving Apart and Coming Together: Discourse, Engagement, and Deep Learning

ERIC Educational Resources Information Center

Gomoll, Andrea S.; Hmelo-Silver, Cindy E.; Tolar, Erin; Šabanovic, Selma; Francisco, Matthew

2017-01-01

An important part of "doing" science is engaging in collaborative science practices. To better understand how to support these practices, we need to consider how students collaboratively construct and represent shared understanding in complex, problem-oriented, and authentic learning environments. This research presents a case study…

32 CFR 176.20 - Overview of the process.

Code of Federal Regulations, 2011 CFR

2011-07-01

... public benefit transfer other than a homeless assistance conveyance under either 40 U.S.C. 471 et. seq... least one workshop where representatives of the homeless have an opportunity to: (A) Learn about the... the installation; (C) Learn about the LRA's process and schedule for receiving notices of interest as...

24 CFR 586.20 - Overview of the process.

Code of Federal Regulations, 2012 CFR

2012-04-01

... obtaining property via a public benefit transfer other than a homeless assistance conveyance under either 40... conduct at least one workshop where representatives of the homeless have an opportunity to: (A) Learn... either on or off the installation; (C) Learn about the LRA's process and schedule for receiving notices...

24 CFR 586.20 - Overview of the process.

Code of Federal Regulations, 2013 CFR

2013-04-01

... obtaining property via a public benefit transfer other than a homeless assistance conveyance under either 40... conduct at least one workshop where representatives of the homeless have an opportunity to: (A) Learn... either on or off the installation; (C) Learn about the LRA's process and schedule for receiving notices...

32 CFR 176.20 - Overview of the process.

Code of Federal Regulations, 2013 CFR

2013-07-01

... public benefit transfer other than a homeless assistance conveyance under either 40 U.S.C. 471 et. seq... least one workshop where representatives of the homeless have an opportunity to: (A) Learn about the... the installation; (C) Learn about the LRA's process and schedule for receiving notices of interest as...

32 CFR 176.20 - Overview of the process.

Code of Federal Regulations, 2012 CFR

2012-07-01

... public benefit transfer other than a homeless assistance conveyance under either 40 U.S.C. 471 et. seq... least one workshop where representatives of the homeless have an opportunity to: (A) Learn about the... the installation; (C) Learn about the LRA's process and schedule for receiving notices of interest as...

32 CFR 176.20 - Overview of the process.

Code of Federal Regulations, 2014 CFR

2014-07-01

... public benefit transfer other than a homeless assistance conveyance under either 40 U.S.C. 471 et. seq... least one workshop where representatives of the homeless have an opportunity to: (A) Learn about the... the installation; (C) Learn about the LRA's process and schedule for receiving notices of interest as...

24 CFR 586.20 - Overview of the process.

Code of Federal Regulations, 2014 CFR

2014-04-01

... obtaining property via a public benefit transfer other than a homeless assistance conveyance under either 40... conduct at least one workshop where representatives of the homeless have an opportunity to: (A) Learn... either on or off the installation; (C) Learn about the LRA's process and schedule for receiving notices...

24 CFR 586.20 - Overview of the process.

Code of Federal Regulations, 2011 CFR

2011-04-01

... obtaining property via a public benefit transfer other than a homeless assistance conveyance under either 40... conduct at least one workshop where representatives of the homeless have an opportunity to: (A) Learn... either on or off the installation; (C) Learn about the LRA's process and schedule for receiving notices...

The Ongoing and Open-Ended Simulation

ERIC Educational Resources Information Center

Cohen, Alexander

2016-01-01

This case study explores a novel form of classroom simulation that differs from published examples in two important respects. First, it is ongoing. While most simulations represent a single learning episode embedded within a course, the ongoing simulation is a continuous set of interrelated events and decisions that accompany learning throughout…

Examining Collaborative Knowledge Construction in Microblogging-Based Learning Environments

ERIC Educational Resources Information Center

Luo, Tian; Clifton, Lacey

2017-01-01

Aim/Purpose: The purpose of the study is to provide foundational research to exemplify how knowledge construction takes place in microblogging-based learning environments, to understand learner interaction representing the knowledge construction process, and to analyze learner perception, thereby suggesting a model of delivery for microblogging.…

WISC-R Types of Learning Disabilities: A Profile Analysis with Cross-Validation.

ERIC Educational Resources Information Center

Holcomb, William R.; And Others

1987-01-01

Profiles (Wechsler Intelligence Scale for Children - Revised) of 119 children in five learning disability programs were placed in six homogeneous groups using cluster analysis. One group showed superior intelligence quotient (IQ) with motor coordination deficits and severe emotional problems, while three groups represented children with low IQs…

The Changing Shape of Corporate Universities

ERIC Educational Resources Information Center

Baucus, David; Baucus, Melissa

2005-01-01

About seven years ago, technological innovation gave rise to the e-learning industry and the growth of corporate universities. Early in the evolution of the industry, corporate universities represented a reasonable deployment of learning technologies. They enabled companies to deliver the right content to target markets (e.g., employees, partners,…

Object Lesson: Discovering and Learning to Recognize Objects

DTIC Science & Technology

2002-01-01

4 x 4 grid represents the possible appearance of an edge, quantized to just two luminance levels. The dark line centered in the grid is the average...11):33-38, 1995. [16] Maja J. Mataric . A distributed model for mobile robot environment-learning and navigation. Technical Report AIlR- 1228

Preschool Interactive Peer Play Mediates Problem Behavior and Learning for Low-Income Children

ERIC Educational Resources Information Center

Bulotsky-Shearer, Rebecca J.; Bell, Elizabeth R.; Romero, Sandy L.; Carter, Tracy M.

2012-01-01

The study employed a developmental, ecological, and resiliency framework to examine whether interactive peer play competencies mediated associations between teacher reported problem behavior and learning outcomes for a representative sample of urban low-income children (N = 507 across 46 Head Start classrooms). Structural equation models provided…

Lifelong Learning: One Focus, Different Systems. Studien zur Erwachsenenbildung, Band 19.

ERIC Educational Resources Information Center

Harney, Klaus, Ed.; Heikkinen, Anja, Ed.; Rahn, Sylvia, Ed.; Schemmann, Michael, Ed.

These 17 articles on different subjects of the broader theme "lifelong learning" represent the latest results of the discussions of the Vocational Education and Culture Research Network. An introduction (Klaus Harney et al.) provides summaries of the contents. The articles are "The Global and International Discourse of Lifelong…

The "Learning Disabilities to Juvenile Detention" Pipeline: A Case Study

ERIC Educational Resources Information Center

Mallett, Christopher A.

2014-01-01

Adolescents becoming formally involved with a juvenile court because of school-related behavior and discipline problems is a phenomenon known as the school-to-prison pipeline. Adolescents with learning disabilities are disproportionately represented within this pipeline. A study was conducted to review the outcomes for a population of youthful…

Enrichment in Massachusetts Expanded Learning Time (ELT) Schools. Issue Brief

ERIC Educational Resources Information Center

Caven, Meghan; Checkoway, Amy; Gamse, Beth; Luck, Rachel; Wu, Sally

2012-01-01

This brief highlights key information about enrichment activities, which represent one of the main components of the Massachusetts Expanded Learning Time (ELT) initiative. Over time, the ELT initiative has supported over two dozen schools across the Commonwealth. A comprehensive evaluation of the ELT initiative found that implementation of the…

Validation and Analysis of the Coupled Multiple Response Colorado Upper-Division Electrostatics Diagnostic

ERIC Educational Resources Information Center

Wilcox, Bethany R.; Pollock, Steven J.

2015-01-01

Standardized conceptual assessment represents a widely used tool for educational researchers interested in student learning within the standard undergraduate physics curriculum. For example, these assessments are often used to measure student learning across educational contexts and instructional strategies. However, to support the large-scale…

QoS Adaptation in Multimedia Multicast Conference Applications for E-Learning Services

ERIC Educational Resources Information Center

Deusdado, Sérgio; Carvalho, Paulo

2006-01-01

The evolution of the World Wide Web service has incorporated new distributed multimedia conference applications, powering a new generation of e-learning development and allowing improved interactivity and prohuman relations. Groupware applications are increasingly representative in the Internet home applications market, however, the Quality of…

Literature Review of Residents as Teachers from an Adult Learning Perspective

ERIC Educational Resources Information Center

Blanchard, Rebecca D.; Hinchey, Kevin T.; Bennett, Elisabeth E.

2011-01-01

Academic medical centers represent the intersection of higher education and workforce development. However residents often utilize traditional pedagogical approaches learned from higher education settings that fail to translate with adult learners. The purpose of this study is to synthesize literature on resident teachers from the perspective of…

Universalizing Education: Strategies for the Development and Use of Instructional Materials.

ERIC Educational Resources Information Center

United Nations Educational, Scientific, and Cultural Organization, Bangkok (Thailand). Regional Office for Education in Asia and Oceania.

The deliberations of representatives from eleven Asian Unesco member countries focus on alternative approaches to identification of needs and resources as a basis for curriculum development, strategies and methodologies adopted in translating the curriculum into teaching learning materials and learning aids, training of teachers, problems involved…

Developing and Sustaining Partnerships: Lessons Learned.

ERIC Educational Resources Information Center

Wills, Joan L.; Kaufmann, Barbara A.

This paper reports on a study that examined skill standards pilot programs to identify lessons learned in the selection and involvement of representatives from the various stakeholder communities and the potential for sustaining the efforts of the pilot programs. Data were gathered through structured conversations with staff and committee members…

"Is English Also the Place Where I Belong?": Linguistic Biographies and Expanding Communicative Repertoires in Central Java

ERIC Educational Resources Information Center

Zentz, Lauren

2015-01-01

This article employs the term "communicative repertoire" in order to highlight that when one learns any new "language", one introduces new communicative resources into a unified communicative repertoire. As repertoires represent such singular "grammars" in individuals' minds, learned communicative resources can…

The Role of Orthography in Oral Vocabulary Learning in Chinese Children

ERIC Educational Resources Information Center

Li, Hong; Zhang, Jie; Ehri, Linnea; Chen, Yu; Ruan, Xiaotong; Dong, Qiong

2016-01-01

Previous research has shown that the presence of English word spellings facilitates children's oral vocabulary learning. Whether a similar orthographic facilitation effect may exist in Chinese is interesting but not intuitively obvious due to the character writing system representing morphosyllabic but not phoneme-size information, and the more…

Performing New Geographies of Literacy Teaching and Learning

ERIC Educational Resources Information Center

Vasudevan, Lalitha

2009-01-01

In this article, the author explores the ways in which new teaching and learning geographies were crafted by adolescents and adults through the engagement and performance of multimodal literacy practices. They did so by communicating and representing knowledge through the manipulation of multiple expressive modalities, including pens for writing…

The Novelty Exploration Bonus and Its Attentional Modulation

ERIC Educational Resources Information Center

Krebs, Ruth M.; Schott, Bjorn H.; Schutze, Hartmut; Duzel, Emrah

2009-01-01

We hypothesized that novel stimuli represent salient learning signals that can motivate "exploration" in search for potential rewards. In computational theories of reinforcement learning, this is referred to as the novelty "exploration bonus" for rewards. If true, stimulus novelty should enhance the reward anticipation signals in brain areas that…

American Council of Learned Societies Annual Report, 2008-2009

ERIC Educational Resources Information Center

American Council of Learned Societies, 2010

2010-01-01

The American Council of Learned Societies (ACLS) provides the humanities and related social sciences with leadership, opportunities for innovation, and national and international representation. ACLS was founded in 1919 to represent the United States in the Union Academique Internationale. Its mission is "the advancement of humanistic studies in…

American Council of Learned Societies Annual Report, 2007-2008

ERIC Educational Resources Information Center

American Council of Learned Societies, 2009

2009-01-01

The American Council of Learned Societies (ACLS) provides the humanities and related social sciences with leadership, opportunities for innovation, and national and international representation. ACLS was founded in 1919 to represent the United States in the Union Academique Internationale. Its mission is "the advancement of humanistic studies…

Getting Our Hands on History

ERIC Educational Resources Information Center

Hindle, Rob

2012-01-01

Adult learning enhances, sometimes changes lives. It is therefore vital that educators do whatever it takes to enable more people from under-represented groups to get involved in learning. This is central to the Workers' Educational Association's (WEA) vision and values. Yet among its range of programmes, some subject areas remain the preserve of…

An Interactive Graphics Program for Assistance in Learning Convolution.

ERIC Educational Resources Information Center

Frederick, Dean K.; Waag, Gary L.

1980-01-01

A program has been written for the interactive computer graphics facility at Rensselaer Polytechnic Institute that is designed to assist the user in learning the mathematical technique of convolving two functions. Because convolution can be represented graphically by a sequence of steps involving folding, shifting, multiplying, and integration, it…

The Relationship Between Duration of Postrotary Nystagmus and Driver Behavior: Learning Theory Module.

ERIC Educational Resources Information Center

Geier, Suzanne Smith; Young, Barbara

It was hypothesized that behavior patterns, learned early in life and maintained by almost continuous reinforcement, are determined by basic physiology, which in this study is represented by the duration of postrotary nystagmus (involuntary eyeball movement following rotational stimulation). The Southern California Postrotary Nystagmus Test was…

Using Computer-Assisted Multiple Representations in Learning Geometry Proofs

ERIC Educational Resources Information Center

Wong, Wing-Kwong; Yin, Sheng-Kai; Yang, Hsi-Hsun; Cheng, Ying-Hao

2011-01-01

Geometry theorem proving involves skills that are difficult to learn. Instead of working with abstract and complicated representations, students might start with concrete, graphical representations. A proof tree is a graphical representation of a formal proof, with each node representing a proposition or given conditions. A computer-assisted…

Investigating Antecedents of Task Commitment and Task Attraction in Service Learning Team Projects

ERIC Educational Resources Information Center

Schaffer, Bryan S.; Manegold, Jennifer G.

2018-01-01

The authors investigated the antecedents of team task cohesiveness in service learning classroom environments. Focusing on task commitment and task attraction as key dependent variables representing cohesiveness, and task interdependence as the primary independent variable, the authors position three important task action phase processes as…

Children's Play and Culture Learning in an Egalitarian Foraging Society

ERIC Educational Resources Information Center

Boyette, Adam H.

2016-01-01

Few systematic studies of play in foragers exist despite their significance for understanding the breadth of contexts for human development and the ontogeny of cultural learning. Forager societies lack complex social hierarchies, avenues for prestige or wealth accumulation, and formal educational institutions, and thereby represent a contrast to…

Computer-Based Training: Capitalizing on Lessons Learned

ERIC Educational Resources Information Center

Bedwell, Wendy L.; Salas, Eduardo

2010-01-01

Computer-based training (CBT) is a methodology for providing systematic, structured learning; a useful tool when properly designed. CBT has seen a resurgence given the serious games movement, which is at the forefront of integrating primarily entertainment computer-based games into education and training. This effort represents a multidisciplinary…

Does Transformational Leadership Encourage Teachers' Use of Digital Learning Materials

ERIC Educational Resources Information Center

Vermeulen, Marjan; Van Acker, Frederik; Kreijns, Karel; van Buuren, Hans

2015-01-01

To gain insight into how to promote teachers' use of digital learning materials (DLMs) in their pedagogical practices we adopted the Integrated Model of Behaviour Prediction to investigate the relationships between organizational and teacher-related variables. A representative sample of 772 teachers from primary, secondary or vocational education…

Motivation to Avoid Loss Improves Implicit Skill Performance

ERIC Educational Resources Information Center

Chon, Danbee; Thompson, Kelsey R.; Reber, Paul J.

2018-01-01

Implicit learning reflects learning from experience that occurs without intention or awareness of the information acquired and is hypothesized to contribute to skill acquisition by improving performance with practice. The role of motivation has not been examined because this kind of memory is represented outside awareness. We manipulated…

Adult Learning Matters

ERIC Educational Resources Information Center

Thomson, Rachel

2009-01-01

Adult Learners' Week--which is supported by the Department for Innovation, Universities and Skills and the European Social Fund, amongst a raft of other organisations--is all about raising demand for learning. At its core, the campaign is about encouraging under-represented groups--including low-skilled, unemployed and low-paid adults and those…

Enterprise Approaches to Information and Learning Technology

ERIC Educational Resources Information Center

Ferrell, Gill

2007-01-01

Like it or not, an institution's IT infrastructure is a matter with which institutional strategic planners must concern themselves. Information systems represent a significant investment, they perform mission-critical functions, and the appropriate use of information and learning technologies can have a critical part to play in delivering against…

Color Coding of Circuit Quantities in Introductory Circuit Analysis Instruction

ERIC Educational Resources Information Center

Reisslein, Jana; Johnson, Amy M.; Reisslein, Martin

2015-01-01

Learning the analysis of electrical circuits represented by circuit diagrams is often challenging for novice students. An open research question in electrical circuit analysis instruction is whether color coding of the mathematical symbols (variables) that denote electrical quantities can improve circuit analysis learning. The present study…

Exploring How Families Do Science Together: Adult-Child Interactions at Community Science Events

ERIC Educational Resources Information Center

Tuttle, Nicole; Mentzer, Gale A.; Strickler, Lacey; Bloomquist, Debra; Hapgood, Susanna; Molitor, Scott; Kaderavek, Joan; Czerniak, Charlene M.

2017-01-01

Promoting family learning around science represents an important opportunity to reinforce science learning during out-of-school time. Evidence suggests that parent-child discourse around science can promote inferential thinking by children and help solidify their understanding of science concepts. While teacher professional development that…

Dynamic Assessment in Combination with Video Interaction Guidance in Preschool Education

ERIC Educational Resources Information Center

Krejcová, Kristýna

2015-01-01

Dynamic assessment represents an alternative diagnostic approach focused on the revelation of the tested persons' learning potential. The learning potential is observed via the emphasis on the achievement process. It aims at meaningful connection with the intervention that immediately applies diagnostic findings to support the development of an…

Challenges Implementing Work-Integrated Learning in Human Resource Management University Courses

ERIC Educational Resources Information Center

Rook, Laura

2017-01-01

The examination of work-integrated learning (WIL) programs in the undergraduate Human Resource Management (HRM) curriculum is an area under-represented in the Australian literature. This paper identifies the challenges faced in implementing WIL into the HRM undergraduate curriculum. Qualitative semi-structured interviews were conducted with 38…

Translanguaging, Learning and Teaching in Deaf Education

ERIC Educational Resources Information Center

Swanwick, Ruth

2017-01-01

This paper critiques the role of translanguaging in deaf education by examining how, and under what conditions, translanguaging practices can enhance learning and teaching. The paper explores the premise that translanguaging represents an additive view of bilingualism and multilingualism for deaf learners and offers an innovative departure from,…

Organizational and Relational Factors in Professional Learning Communities

ERIC Educational Resources Information Center

Gray, Julie; Mitchell, Roxanne; Tarter, C. John

2014-01-01

The roles of organizational and relational factors in regard to professional learning communities (PLCs) have been investigated by many, yet none have considered enabling school structures, trust, and collective efficacy as variables. We take a deeper look at the formal or organizational aspects of the school represented by enabling school…

Learning about America, and about Buying from Starbucks

ERIC Educational Resources Information Center

Simon, Bryant

2011-01-01

Professor Bryant Simon is the author of "Everything But the Coffee: Learning About America From Starbucks" (University of California Press, 2009). He presented his key findings to the class and summarizes them here. Studying Starbucks reveals essential truths about what its customers, who represented a large cross-section of the American…

Pedagogical Dramas and Transformational Play: Narratively Rich Games for Learning

ERIC Educational Resources Information Center

Barab, Sasha A.; Dodge, Tyler; Ingram-Goble, Adam; Pettyjohn, Patrick; Peppler, Kylie; Volk, Charlene; Solomou, Maria

2010-01-01

Although every era is met with the introduction of powerful technologies for entertainment and learning, videogames represent a new contribution binding the two and bearing the potential to create sustained engagement in a curricular drama where the player's knowledgeable actions shape an unfolding fiction within a designed world. Although…

Sensitivity analysis of machine-learning models of hydrologic time series

NASA Astrophysics Data System (ADS)

O'Reilly, A. M.

2017-12-01

Sensitivity analysis traditionally has been applied to assessing model response to perturbations in model parameters, where the parameters are those model input variables adjusted during calibration. Unlike physics-based models where parameters represent real phenomena, the equivalent of parameters for machine-learning models are simply mathematical "knobs" that are automatically adjusted during training/testing/verification procedures. Thus the challenge of extracting knowledge of hydrologic system functionality from machine-learning models lies in their very nature, leading to the label "black box." Sensitivity analysis of the forcing-response behavior of machine-learning models, however, can provide understanding of how the physical phenomena represented by model inputs affect the physical phenomena represented by model outputs.As part of a previous study, hybrid spectral-decomposition artificial neural network (ANN) models were developed to simulate the observed behavior of hydrologic response contained in multidecadal datasets of lake water level, groundwater level, and spring flow. Model inputs used moving window averages (MWA) to represent various frequencies and frequency-band components of time series of rainfall and groundwater use. Using these forcing time series, the MWA-ANN models were trained to predict time series of lake water level, groundwater level, and spring flow at 51 sites in central Florida, USA. A time series of sensitivities for each MWA-ANN model was produced by perturbing forcing time-series and computing the change in response time-series per unit change in perturbation. Variations in forcing-response sensitivities are evident between types (lake, groundwater level, or spring), spatially (among sites of the same type), and temporally. Two generally common characteristics among sites are more uniform sensitivities to rainfall over time and notable increases in sensitivities to groundwater usage during significant drought periods.

Representative learning design in springboard diving: Is dry-land training representative of a pool dive?

PubMed

Barris, Sian; Davids, Keith; Farrow, Damian

2013-01-01

Two distinctly separate training facilities (dry-land and aquatic) are routinely used in springboard diving and pose an interesting problem for learning, given the inherent differences in landing (head first vs. feet first) imposed by the different task constraints. Although divers may practise the same preparation phase, take-off and initial aerial rotation in both environments, there is no evidence to suggest that the tasks completed in the dry-land training environment are representative of those performed in the aquatic competition environment. The aim of this study was to compare the kinematics of the preparation phase of reverse dives routinely practised in each environment. Despite their high skill level, it was predicted that individual analyses of elite springboard divers would reveal differences in the joint coordination and board-work between take-offs. The two-dimensional kinematic characteristics were recorded during normal training sessions and used for intra-individual analysis. Kinematic characteristics of the preparatory take-off phase revealed differences in board-work (step lengths, jump height, board depression angles) for all participants at key events. However, the presence of scaled global topological characteristics suggested that all participants adopted similar joint coordination patterns in both environments. These findings suggest that the task constraints of wet and dry training environments are not similar, and highlight the need for coaches to consider representative learning designs in high performance diving programmes.

Age differences in learning emerge from an insufficient representation of uncertainty in older adults

PubMed Central

Nassar, Matthew R.; Bruckner, Rasmus; Gold, Joshua I.; Li, Shu-Chen; Heekeren, Hauke R.; Eppinger, Ben

2016-01-01

Healthy aging can lead to impairments in learning that affect many laboratory and real-life tasks. These tasks often involve the acquisition of dynamic contingencies, which requires adjusting the rate of learning to environmental statistics. For example, learning rate should increase when expectations are uncertain (uncertainty), outcomes are surprising (surprise) or contingencies are more likely to change (hazard rate). In this study, we combine computational modelling with an age-comparative behavioural study to test whether age-related learning deficits emerge from a failure to optimize learning according to the three factors mentioned above. Our results suggest that learning deficits observed in healthy older adults are driven by a diminished capacity to represent and use uncertainty to guide learning. These findings provide insight into age-related cognitive changes and demonstrate how learning deficits can emerge from a failure to accurately assess how much should be learned. PMID:27282467

An Approach for the Distance Delivery of AFIT/LS Resident Degree Curricula

DTIC Science & Technology

1991-12-01

minimal (least complex) distance education technologies appropriate for each learning topic or task. This may be the most time-consuming step in the...34 represents the least complex distance education technology that could be used to deliver the educational material for a particular learning objective. Careful...minimal technology needed to accomplish the learning objective. Look at question Q2.1 (Figure 5.15). Since the lecture offers an essential educational

"FORCE" learning in recurrent neural networks as data assimilation

NASA Astrophysics Data System (ADS)

Duane, Gregory S.

2017-12-01

It is shown that the "FORCE" algorithm for learning in arbitrarily connected networks of simple neuronal units can be cast as a Kalman Filter, with a particular state-dependent form for the background error covariances. The resulting interpretation has implications for initialization of the learning algorithm, leads to an extension to include interactions between the weight updates for different neurons, and can represent relationships within groups of multiple target output signals.

How to Select a Good Training-data Subset for Transcription: Submodular Active Selection for Sequences

DTIC Science & Technology

2009-01-01

selection and uncertainty sampling signif- icantly. Index Terms: Transcription, labeling, submodularity, submod- ular selection, active learning , sequence...name of batch active learning , where a subset of data that is most informative and represen- tative of the whole is selected for labeling. Often...representative subset. Note that our Fisher ker- nel is over an unsupervised generative model, which enables us to bootstrap our active learning approach

Perceptions of Campus Subcultures at a Community College

ERIC Educational Resources Information Center

Bell, Claudia R.

2010-01-01

Culture, defined as the visible organizational behaviors and practices; the espoused values that represent organizational philosophies and understandings; and the values and core beliefs that construct the philosophies represented by organizational action, is formed over decades as institutions learn to respond to challenges associated with their…

Horizontal and Vertical Velocities Derived from the IDS Contribution to ITRF2014, and Comparisons with Geophysical Models

NASA Technical Reports Server (NTRS)

Moreaux, G.; Lemoine, F. G.; Argus, D. F.; Santamaria-Gomez, A.; Willis, P.; Soudarin, L.; Gravelle, M.; Ferrage, P.

2016-01-01

In the context of the 2014 realization of the International Terrestrial Reference Frame (ITRF2014), the International DORIS Service (IDS) has delivered to the IERS a set of 1140 weekly SINEX files including station coordinates and Earth orientation parameters, covering the time period from 1993.0 to 2015.0. From this set of weekly SINEX files, the IDS Combination Center estimated a cumulative DORIS position and velocity solution to obtain mean horizontal and vertical motion of 160 stations at 71 DORIS sites. The main objective of this study is to validate the velocities of the DORIS sites by comparison with external models or time series. Horizontal velocities are compared with two recent global plate models (GEODVEL 2010 and NNR-MORVEL56). Prior to the comparisons, DORIS horizontal velocities were corrected for Global Isostatic Adjustment (GIA) from the ICE-6G (VM5a) model. For more than half of the sites, the DORIS horizontal velocities differ from the global plate models by less than 2-3 mm/yr. For five of the sites (Arequipa, Dionysos/Gavdos, Manila, Santiago) with horizontal velocity differences wrt these models larger than 10 mm/yr, comparisons with GNSS estimates show the veracity of the DORIS motions. Vertical motions from the DORIS cumulative solution are compared with the vertical velocities derived from the latest GPS cumulative solution over the time span 1995.0-2014.0 from the University of La Rochelle (ULR6) solution at 31 co-located DORIS-GPS sites. These two sets of vertical velocities show a correlation coefficient of 0.83. Vertical differences are larger than 2 mm/yr at 23 percent of the sites. At Thule the disagreement is explained by fine-tuned DORIS discontinuities in line with the mass variations of outlet glaciers. Furthermore, the time evolution of the vertical time series from the DORIS station in Thule show similar trends to the GRACE equivalent water height.

Learning to Estimate Dynamical State with Probabilistic Population Codes.

PubMed

Makin, Joseph G; Dichter, Benjamin K; Sabes, Philip N

2015-11-01

Tracking moving objects, including one's own body, is a fundamental ability of higher organisms, playing a central role in many perceptual and motor tasks. While it is unknown how the brain learns to follow and predict the dynamics of objects, it is known that this process of state estimation can be learned purely from the statistics of noisy observations. When the dynamics are simply linear with additive Gaussian noise, the optimal solution is the well known Kalman filter (KF), the parameters of which can be learned via latent-variable density estimation (the EM algorithm). The brain does not, however, directly manipulate matrices and vectors, but instead appears to represent probability distributions with the firing rates of population of neurons, "probabilistic population codes." We show that a recurrent neural network-a modified form of an exponential family harmonium (EFH)-that takes a linear probabilistic population code as input can learn, without supervision, to estimate the state of a linear dynamical system. After observing a series of population responses (spike counts) to the position of a moving object, the network learns to represent the velocity of the object and forms nearly optimal predictions about the position at the next time-step. This result builds on our previous work showing that a similar network can learn to perform multisensory integration and coordinate transformations for static stimuli. The receptive fields of the trained network also make qualitative predictions about the developing and learning brain: tuning gradually emerges for higher-order dynamical states not explicitly present in the inputs, appearing as delayed tuning for the lower-order states.

Learning to Estimate Dynamical State with Probabilistic Population Codes

PubMed Central

Sabes, Philip N.

2015-01-01

Tracking moving objects, including one’s own body, is a fundamental ability of higher organisms, playing a central role in many perceptual and motor tasks. While it is unknown how the brain learns to follow and predict the dynamics of objects, it is known that this process of state estimation can be learned purely from the statistics of noisy observations. When the dynamics are simply linear with additive Gaussian noise, the optimal solution is the well known Kalman filter (KF), the parameters of which can be learned via latent-variable density estimation (the EM algorithm). The brain does not, however, directly manipulate matrices and vectors, but instead appears to represent probability distributions with the firing rates of population of neurons, “probabilistic population codes.” We show that a recurrent neural network—a modified form of an exponential family harmonium (EFH)—that takes a linear probabilistic population code as input can learn, without supervision, to estimate the state of a linear dynamical system. After observing a series of population responses (spike counts) to the position of a moving object, the network learns to represent the velocity of the object and forms nearly optimal predictions about the position at the next time-step. This result builds on our previous work showing that a similar network can learn to perform multisensory integration and coordinate transformations for static stimuli. The receptive fields of the trained network also make qualitative predictions about the developing and learning brain: tuning gradually emerges for higher-order dynamical states not explicitly present in the inputs, appearing as delayed tuning for the lower-order states. PMID:26540152

The Sensorimotor System Can Sculpt Behaviorally Relevant Representations for Motor Learning

PubMed Central

2016-01-01

Abstract The coordinate system in which humans learn novel motor skills is controversial. The representation of sensorimotor skills has been extensively studied by examining generalization after learning perturbations specifically designed to be ambiguous as to their coordinate system. Recent studies have found that learning is not represented in any simple coordinate system and can potentially be accounted for by a mixed representation. Here, instead of probing generalization, which has led to conflicting results, we examine whether novel dynamics can be learned when explicitly and unambiguously presented in particular coordinate systems. Subjects performed center–out reaches to targets in the presence of a force field, while varying the orientation of their hand (i.e., the wrist angle) across trials. Different groups of subjects experienced force fields that were explicitly presented either in Cartesian coordinates (field independent of hand orientation), in object coordinates (field rotated with hand orientation), or in anti-object coordinates (field rotated counter to hand orientation). Subjects learned to represent the dynamics when presented in either Cartesian or object coordinates, learning these as well as an ambiguous force field. However, learning was slower for the object-based dynamics and substantially impaired for the anti-object presentation. Our results show that the motor system is able to tune its representation to at least two natural coordinate systems but is impaired when the representation of the task does not correspond to a behaviorally relevant coordinate system. Our results show that the motor system can sculpt its representation through experience to match those of natural tasks. PMID:27588304

Virtual water maze learning in human increases functional connectivity between posterior hippocampus and dorsal caudate.

PubMed

Woolley, Daniel G; Mantini, Dante; Coxon, James P; D'Hooge, Rudi; Swinnen, Stephan P; Wenderoth, Nicole

2015-04-01

Recent work has demonstrated that functional connectivity between remote brain regions can be modulated by task learning or the performance of an already well-learned task. Here, we investigated the extent to which initial learning and stable performance of a spatial navigation task modulates functional connectivity between subregions of hippocampus and striatum. Subjects actively navigated through a virtual water maze environment and used visual cues to learn the position of a fixed spatial location. Resting-state functional magnetic resonance imaging scans were collected before and after virtual water maze navigation in two scan sessions conducted 1 week apart, with a behavior-only training session in between. There was a large significant reduction in the time taken to intercept the target location during scan session 1 and a small significant reduction during the behavior-only training session. No further reduction was observed during scan session 2. This indicates that scan session 1 represented initial learning and scan session 2 represented stable performance. We observed an increase in functional connectivity between left posterior hippocampus and left dorsal caudate that was specific to scan session 1. Importantly, the magnitude of the increase in functional connectivity was correlated with offline gains in task performance. Our findings suggest cooperative interaction occurs between posterior hippocampus and dorsal caudate during awake rest following the initial phase of spatial navigation learning. Furthermore, we speculate that the increase in functional connectivity observed during awake rest after initial learning might reflect consolidation-related processing. © 2014 Wiley Periodicals, Inc.

Multiscale 3D Shape Analysis using Spherical Wavelets

PubMed Central

Nain, Delphine; Haker, Steven; Bobick, Aaron; Tannenbaum, Allen

2013-01-01

Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of variation, even from a limited training set. However, when significant local variations exist, PCA typically cannot represent such variations from a small training set. To address this issue, we present a novel algorithm that learns shape variations from data at multiple scales and locations using spherical wavelets and spectral graph partitioning. Our results show that when the training set is small, our algorithm significantly improves the approximation of shapes in a testing set over PCA, which tends to oversmooth data. PMID:16685992

Multiscale 3D shape analysis using spherical wavelets.

PubMed

Nain, Delphine; Haker, Steven; Bobick, Aaron; Tannenbaum, Allen R

2005-01-01

Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of variation, even from a limited training set. However, when significant local variations exist, PCA typically cannot represent such variations from a small training set. To address this issue, we present a novel algorithm that learns shape variations from data at multiple scales and locations using spherical wavelets and spectral graph partitioning. Our results show that when the training set is small, our algorithm significantly improves the approximation of shapes in a testing set over PCA, which tends to oversmooth data.

Active Learning Not Associated with Student Learning in a Random Sample of College Biology Courses

PubMed Central

Andrews, T. M.; Leonard, M. J.; Colgrove, C. A.; Kalinowski, S. T.

2011-01-01

Previous research has suggested that adding active learning to traditional college science lectures substantially improves student learning. However, this research predominantly studied courses taught by science education researchers, who are likely to have exceptional teaching expertise. The present study investigated introductory biology courses randomly selected from a list of prominent colleges and universities to include instructors representing a broader population. We examined the relationship between active learning and student learning in the subject area of natural selection. We found no association between student learning gains and the use of active-learning instruction. Although active learning has the potential to substantially improve student learning, this research suggests that active learning, as used by typical college biology instructors, is not associated with greater learning gains. We contend that most instructors lack the rich and nuanced understanding of teaching and learning that science education researchers have developed. Therefore, active learning as designed and implemented by typical college biology instructors may superficially resemble active learning used by education researchers, but lacks the constructivist elements necessary for improving learning. PMID:22135373

Stakeholders' views of shared learning models in general practice: a national survey.

PubMed

van de Mortel, Thea; Silberberg, Peter; Ahern, Christine; Pit, Sabrina

2014-09-01

The number of learners requiring general practice placements creates supervisory capacity constraints. This research examined how a shared learning model may affect training capacity. The number of learners requiring general practice placements creates supervisory capacity constraints. This research examined how a shared learning model may affect training capacity. A total of 1122 surveys were completed: 75% of learners had participated in shared learning; 25% of multi-level learner practices were not using shared learning. Learners were positive about shared learning (4.3-4.4/5), considering it an effective way to learn that created training capacity (4.1-4.2/5). 79-88% of learners preferred a mixture of one-to-one teaching and shared learning. Supervisors thought shared learning was more cost- and time-efficient, and created training capacity (4.3-4.4/5). Shared learning models have the potential to increase GP training capacity. Many practices are not utilising shared learning, representing capacity loss. Regional training providers should emphasise positive aspects of shared learning to facilitate uptake.

Representing Uncertainty on Model Analysis Plots

ERIC Educational Resources Information Center

Smith, Trevor I.

2016-01-01

Model analysis provides a mechanism for representing student learning as measured by standard multiple-choice surveys. The model plot contains information regarding both how likely students in a particular class are to choose the correct answer and how likely they are to choose an answer consistent with a well-documented conceptual model.…

The cerebellum: a neuronal learning machine?

NASA Technical Reports Server (NTRS)

Raymond, J. L.; Lisberger, S. G.; Mauk, M. D.

1996-01-01

Comparison of two seemingly quite different behaviors yields a surprisingly consistent picture of the role of the cerebellum in motor learning. Behavioral and physiological data about classical conditioning of the eyelid response and motor learning in the vestibulo-ocular reflex suggests that (i) plasticity is distributed between the cerebellar cortex and the deep cerebellar nuclei; (ii) the cerebellar cortex plays a special role in learning the timing of movement; and (iii) the cerebellar cortex guides learning in the deep nuclei, which may allow learning to be transferred from the cortex to the deep nuclei. Because many of the similarities in the data from the two systems typify general features of cerebellar organization, the cerebellar mechanisms of learning in these two systems may represent principles that apply to many motor systems.

Is Knowledge Random? Introducing Sampling and Bias through Outdoor Inquiry

ERIC Educational Resources Information Center

Stier, Sam

2010-01-01

Sampling, very generally, is the process of learning about something by selecting and assessing representative parts of that population or object. In the inquiry activity described here, students learned about sampling techniques as they estimated the number of trees greater than 12 cm dbh (diameter at breast height) in a wooded, discrete area…

A Blended Learning Approach to the Teaching of Professional Practice in Architecture

ERIC Educational Resources Information Center

Lane, Murray; Osborne, Lindy; Crowther, Philip

2015-01-01

This paper reports on a number of blended learning activities conducted in two subjects of a Master of Architecture degree at a major Australian university. The subjects were related to "professional practice" and as such represent a little researched area of architectural curriculum. The research provides some insight into the student…

Teachers and Students Together in a Professional Learning Community

ERIC Educational Resources Information Center

Wennergren, Ann-Christine; Blossing, Ulf

2017-01-01

Students represent the majority of the people in a school organisation, but are rarely considered as participants in literature on professional learning communities (PLC). This article explored a PLC with the legitimate participation of students in the classroom. Data was based on interviews with 11 teachers. Community of practice theory provides…

Preparing Lessons, Exercises and Tests for M-Learning of IT Fundamentals

ERIC Educational Resources Information Center

Djenic, S.; Vasiljevic, V.; Mitic, J.; Petkovic, V.; Miletic, A.

2014-01-01

This paper represents a result of studying the efficiency of applying mobile learning technologies, as well as the accompanying advanced teaching methods in the area of Information Technologies, at the School of Electrical and Computer Engineering of Applied Studies in Belgrade, Serbia. It contains a brief description of the form of application…

Representing Practice: Practice Models, Patterns, Bundles

ERIC Educational Resources Information Center

Falconer, Isobel; Finlay, Janet; Fincher, Sally

2011-01-01

This article critiques learning design as a representation for sharing and developing practice, based on synthesis of three projects. Starting with the findings of the Mod4L Models of Practice project, it argues that the technical origins of learning design, and the consequent focus on structure and sequence, limit its usefulness for sharing…

Socio-Historical Factors Mediating Collaborative Teaching and Learning: A Design-Based Investigation and Intervention

ERIC Educational Resources Information Center

Hackett, Jacob

2016-01-01

Collaborative (Co-)teaching is a complex instructional delivery model used to improve teaching practice in inclusive settings. The model involves multiple certified teachers--representing both special and general education--sharing the same space and presenting material to classrooms with a wide variance in learning needs. Co-teaching has become…

Keeping an Eye on Learning: Differences between Expert and Novice Teachers' Representations of Classroom Management Events

ERIC Educational Resources Information Center

Wolff, Charlotte E.; van den Bogert, Niek; Jarodzka, Halszka; Boshuizen, Henny P. A.

2015-01-01

Classroom management represents an important skill and knowledge set for achieving student learning gains, but poses a considerable challenge for beginning teachers. Understanding how teachers' cognition and conceptualizations differ between experts and novices is useful for enhancing beginning teachers' expertise development. We created a coding…

Work-Based Learning: A Resource Guide for Change.

ERIC Educational Resources Information Center

Hudson River Center for Program Development, Glenmont, NY.

This document is intended to provide New York schools, business/industry representatives, and others with resources to develop or further refine work-based learning (WBL) strategies or components. Section 1 presents background information on the following topics: (1) the scope of WBL; (2) foundations for the development of WBL; (3) categories of…

Concept Mapping as a Learning Tool for the Employment Relations Degree

ERIC Educational Resources Information Center

Martinez-Canas, Ricardo; Ruiz-Palomino, Pablo

2011-01-01

Concept mapping is a technique to represent relationships between concepts that can help students to improve their meaningful learning. Using the cognitive theories proposed by Ausubel (1968), concept maps can help instructors and students to enhance their logical thinking and study skills by revealing connections among concepts that can simplify…

Moving across Borders: Immigrant Women's Encounters with Globalization, the Knowledge Economy and Lifelong Learning

ERIC Educational Resources Information Center

Gibb, Tara; Hamdon, Evelyn

2010-01-01

The (un)reality of open/porous borders is starkly represented/manifested in the experiences of immigrant women in lifelong learning contexts. While globalization effectively destroys some borders, it simultaneously creates new ones. State institutions respond to global reconfigurations of borders at local levels by establishing policies that…

Classification and Identification of Reading and Math Disabilities: The Special Case of Comorbidity

ERIC Educational Resources Information Center

Branum-Martin, Lee; Fletcher, Jack M.; Stuebing, Karla K.

2013-01-01

Much of learning disabilities research relies on categorical classification frameworks that use psychometric tests and cut points to identify children with reading or math difficulties. However, there is increasing evidence that the attributes of reading and math learning disabilities are dimensional, representing correlated continua of severity.…

Designing Virtual Worlds for Use in Mathematics Education.

ERIC Educational Resources Information Center

Winn, William; Bricken, William

Virtual Reality (VR) is a computer generated, multi-dimensional, inclusive environment that can build axioms of algebra into the behavior of the world. This paper discusses the use of VR to represent part of the algebra curriculum in order to improve students' classroom experiences in learning algebra. Students learn to construct their knowledge…

Participation in Learning and Wellbeing among Older Adults

ERIC Educational Resources Information Center

Jenkins, Andrew

2011-01-01

The objective of this research was to identify the effects of participation in learning on the subjective wellbeing of older adults. Data were from the English Longitudinal Study of Ageing (ELSA), a large-scale, nationally representative survey of those aged 50 and above. The survey contains several wellbeing measures and information on three…

LTSA Conformance Testing to Architectural Design of LMS Using Ontology

ERIC Educational Resources Information Center

Sengupta, Souvik; Dasgupta, Ranjan

2017-01-01

This paper proposes a new methodology for checking conformance of the software architectural design of Learning Management System (LMS) to Learning Technology System Architecture (LTSA). In our approach, the architectural designing of LMS follows the formal modeling style of Acme. An ontology is built to represent the LTSA rules and the software…

Assessing the Quality of Early Years Learning Environments

ERIC Educational Resources Information Center

Walsh, Glenda; Gardner, John

2005-01-01

This article describes a means of evaluating early years classrooms from the perspective of the child's experience. Nine key themes, such as motivation and independence, are identified as representing significant aspects of a high-quality environment for learning. The manner in which these manifest themselves in relation to the three elements of…

Heuristic Task Analysis on E-Learning Course Development: A Formative Research Study

ERIC Educational Resources Information Center

Lee, Ji-Yeon; Reigeluth, Charles M.

2009-01-01

Utilizing heuristic task analysis (HTA), a method developed for eliciting, analyzing, and representing expertise in complex cognitive tasks, a formative research study was conducted on the task of e-learning course development to further improve the HTA process. Three instructional designers from three different post-secondary institutions in the…

Is Your Gifted Child Ready for Online Learning?

ERIC Educational Resources Information Center

Potts, Jessica Alison; Potts, Skip

2017-01-01

Virtual classrooms, which have grown at an unprecedented rate in recent years, represent a unique opportunity for gifted students who do not have appropriate educational options in their brick-and-mortar schools. Students who are engaged in online learning have access to flexible, high quality curricula and can be grouped with their intellectual…

Model of Distant Learning Educational Methods for the Students with Disabilities

ERIC Educational Resources Information Center

Naumova, Tatyana A.; Vytovtova, Nadezhda I.; Mitiukov, Nicholas W.; Zulfugarzade, Teymur E.

2017-01-01

The present paper represents the results of the studies done at the Udmurt State University with assistance of the Russian Humanitarian Scientific Fund (project 14-16-18004). In the course of studies e-learning educational methods for the students with special educational needs were developed, approved and implemented in educational process.…

Toward a Model for Early Childhood Environmental Education: Foregrounding, Developing, and Connecting Knowledge through Play-Based Learning

ERIC Educational Resources Information Center

Cutter-Mackenzie, Amy; Edwards, Susan

2013-01-01

Environmental education represents a growing area of interest in early childhood education, especially since the inclusion of environmental principles and practices in the Australian Early Years Learning Framework. Traditionally, these two fields of education have been characterized by diverse pedagogical emphases. This article considers how…

Changing Minds: The Impact of Study Abroad Components on Students' Changes in Their Religious Faith

ERIC Educational Resources Information Center

Poag, Trevor; Sperandio, Jill

2015-01-01

Universities increasingly prioritize intercultural learning experiences that prepare students to become competent professionals in an interconnected world (Egron-Polak, 2012; de Witt, 2009). Study abroad represents one such learning experience for U.S. university students. Study abroad programs, although varies in structure and curriculum, share…

77 FR 3739 - Executive-led Aerospace and Defense Industry Trade Mission to Turkey-Notification

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-25

.... During the mission, U.S. delegation members will learn about policies and opportunities in Turkey's... equipment, x-ray machine upgrades, next generation door detectors, fingerprint access to restricted areas... representatives; and (2) introduce U.S. companies to Turkish government officials to learn about various U.S...

Egocentric Coding of Space for Incidentally Learned Attention: Effects of Scene Context and Task Instructions

ERIC Educational Resources Information Center

Jiang, Yuhong V.; Swallow, Khena M.; Sun, Liwei

2014-01-01

Visuospatial attention prioritizes regions of space for perceptual processing. Knowing how attended locations are represented is critical for understanding the architecture of attention. We examined the spatial reference frame of incidentally learned attention and asked how it is influenced by explicit, top-down knowledge. Participants performed a…

Automatic Dance Lesson Generation

ERIC Educational Resources Information Center

Yang, Yang; Leung, H.; Yue, Lihua; Deng, LiQun

2012-01-01

In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation…

Overcoming Underachieving: An Action Guide to Helping Your Child Succeed in School.

ERIC Educational Resources Information Center

Goldstein, Sam; Mather, Nancy

Academic underachievement represents a significant problem faced by many children. This guide for parents is based on a framework called "Building Blocks of Learning" that enables parents to evaluate their child's pattern of learning and to pinpoint strengths as well as weaknesses. By using strengths to bolster weaknesses, continuing damage to…

How Cognitive Requirement of Prompt and Time in Course Are Correlated with Intersubjectivity within Threaded Discussions

ERIC Educational Resources Information Center

Hall, Barbara M.

2011-01-01

Threaded discussions represent conversational turn-taking in asynchronous, online learning environments. Given the crucial role that discussions play in the construction of knowledge within an online course, the quality of the interaction that occurs within threaded discussions is important to achieving the learning objectives of the designed…

Suicide Attempts among Individuals with Specific Learning Disorders: An Underrecognized Issue

ERIC Educational Resources Information Center

Fuller-Thomson, Esme; Carroll, Samara Z.; Yang, Wook

2018-01-01

Several studies have linked specific learning disorders (SLDs) with suicidal ideation, but less is known about the disorders' association with suicide attempts. This gap in the literature is addressed via the 2012 nationally representative Canadian Community Health Survey (n = 21,744). The prevalence of lifetime suicide attempts among those with…

A Road Map for Empowering Undergraduates to Practice Service Leadership through Service-Learning in Teams

ERIC Educational Resources Information Center

Snell, Robin Stanley; Chan, Maureen Yin Lee; Ma, Carol Hok Ka; Chan, Carman Ka Man

2015-01-01

We present a road map for providing course-embedded service-learning team projects as opportunities for undergraduates to practice as service leaders in Asia and beyond. Basic foundations are that projects address authentic problems or needs, partner organization representatives (PORs) indicate availability for ongoing consultation, students…

Defining and Measuring Engagement and Learning in Science: Conceptual, Theoretical, Methodological, and Analytical Issues

ERIC Educational Resources Information Center

Azevedo, Roger

2015-01-01

Engagement is one of the most widely misused and overgeneralized constructs found in the educational, learning, instructional, and psychological sciences. The articles in this special issue represent a wide range of traditions and highlight several key conceptual, theoretical, methodological, and analytical issues related to defining and measuring…

Inter-Level Scaffolding and Sequences of Representational Activities in Teaching a Chemical System with Graphical Simulations

ERIC Educational Resources Information Center

Li, Na; Black, John B.

2016-01-01

Chemistry knowledge can be represented at macro-, micro- and symbolic levels, and learning a chemistry topic requires students to engage in multiple representational activities. This study focused on scaffolding for inter-level connection-making in learning chemistry knowledge with graphical simulations. We also tested whether different sequences…

Learning about Language and Learners from Computer Programs

ERIC Educational Resources Information Center

Cobb, Tom

2010-01-01

Making Nation's text analysis software accessible via the World Wide Web has opened up an exploration of how his learning principles can best be realized in practice. This paper discusses 3 representative episodes in the ongoing exploration. The first concerns an examination of the assumptions behind modeling what texts look like to learners with…

Designing and Developing Assessments of Complex Thinking in Mathematics for the Middle Grades

ERIC Educational Resources Information Center

Graf, Edith Aurora; Arieli-Attali, Meirav

2015-01-01

Designing an assessment system for complex thinking in mathematics involves decisions at every stage, from how to represent the target competencies to how to interpret evidence from student performances. Beyond learning to solve particular problems in a particular area, learning mathematics with understanding involves comprehending connections…

A Social Cognitive View of Self-Regulated Learning about Health

ERIC Educational Resources Information Center

Clark, Noreen M.; Zimmerman, Barry J.

2014-01-01

Researchers interested in health-related learning have recently begun to study processes people use to self-regulate their health and their ability to prevent or control chronic disease. This paper represents a social cognitive view of self-regulation that involves three classes of influence on self-regulating behavior: personal, behavioral, and…

Parenting for Social Mobility? Home Learning, Parental Warmth, Class and Educational Outcomes

ERIC Educational Resources Information Center

Hartas, Dimitra

2015-01-01

Parenting has come to play a pivotal role in breaking intergenerational disadvantage and increasing children's life chances and social mobility through practices such as parental support with their learning and education. Using a UK representative sample from the Millennium Cohort Study, the present study examined the unique and cumulative…

Exploring Team-Based Learning at a State University

ERIC Educational Resources Information Center

Leisey, Monica; Mulcare, Dan; Comeford, Lorrie; Kudrimoti, Sanjay

2014-01-01

A small group of faculty at Salem State University representing the disciplines of Chemistry, Finance, Geography, Political Science, and Social Work implemented a Team-Based Learning (TBL) model in their courses to explore its efficacy for increasing student engagement. Surveys were used to collect pre- and post-data from students to determine the…

Classroom Quality and Academic Skills: Approaches to Learning as a Moderator

ERIC Educational Resources Information Center

Meng, Christine

2015-01-01

The purpose of this study was to examine whether approaches to learning moderated the association between child care classroom environment and Head Start children's academic skills. The data came from the Head Start Family and Child Experiences Survey (FACES-2003 Cohort). The dataset is a nationally representative longitudinal study of Head Start…

Bilingual Baby: Foreign Language Intervention in Madrid's Infant Education Centers

ERIC Educational Resources Information Center

Ferjan Ramirez, Naja; Kuhl, Patricia

2017-01-01

The first years of life represent a unique window of opportunity for foreign language learning. However, key questions are: How much and what kind of foreign language exposure is needed to ignite learning? We conducted a foreign language (English) intervention in four public Infant Education Centers in Madrid, Spain. Intervention children (N =…

What Is Coded into Memory in the Absence of Outcome Feedback?

ERIC Educational Resources Information Center

Henriksson, Maria P.; Elwin, Ebba; Juslin, Peter

2010-01-01

Although people often have to learn from environments with scarce and highly selective outcome feedback, the question of how nonfeedback trials are represented in memory and affect later performance has received little attention in models of learning and decision making. In this article, the authors use the generalized context model (Nosofsky,…

Students' Epistemologies about Experimental Physics: Validating the Colorado Learning Attitudes about Science Survey for Experimental Physics

ERIC Educational Resources Information Center

Wilcox, Bethany R.; Lewandowski, H. J.

2016-01-01

Student learning in instructional physics labs represents a growing area of research that includes investigations of students' beliefs and expectations about the nature of experimental physics. To directly probe students' epistemologies about experimental physics and support broader lab transformation efforts at the University of Colorado Boulder…

Report to the Legislature: Child Welfare and Early Learning Partnerships

ERIC Educational Resources Information Center

Washington State Department of Early Learning, 2015

2015-01-01

House Bill 2519, sponsored by Representative Tana Senn, was passed during the 2014 legislative session and signed into law by Governor Jay Inslee. HB 2519 directs the Department of Early Learning (DEL) and the Department of Social and Health Services (DSHS) to jointly develop recommendations on methods to "better partner to ensure children…

Are "Other People's Children" Constructivist Learners Too?

ERIC Educational Resources Information Center

Bailey, Francis; Pransky, Ken

2005-01-01

In her book, Other People's Children, Lisa Delpit (1996) described how popular progressive pedagogies of that time like Whole language, while claiming to represent the best learning of all students, did not in fact match the learning needs of the culturally and linguistically diverse (CLD) students with whom she worked. She linked those pedagogies…

Promoting Social and Health Advocacy in the Classroom through Service Learning

ERIC Educational Resources Information Center

Wyatt, Tammy Jordan; Peterson, Fred L.

2008-01-01

The ability to advocate for personal, family, and community health represents an essential skill for a health literate individual. By providing opportunities to successfully engage in health advocacy and service learning activities, students may be motivated to become life-long advocates for health and continue to actively advocate and participate…

Procedural Learning and Individual Differences in Language

ERIC Educational Resources Information Center

Lee, Joanna C.; Tomblin, J. Bruce

2015-01-01

The aim of the current study was to examine different aspects of procedural memory in young adults who varied with regard to their language abilities. We selected a sample of procedural memory tasks, each of which represented a unique type of procedural learning, and has been linked, at least partially, to the functionality of the corticostriatal…

PKG-Mediated MAPK Signaling Is Necessary for Long-Term Operant Memory in "Aplysia"

ERIC Educational Resources Information Center

Michel, Maximilian; Green, Charity L.; Eskin, Arnold; Lyons, Lisa C.

2011-01-01

Signaling pathways necessary for memory formation, such as the mitogen-activated protein kinase (MAPK) pathway, appear highly conserved across species and paradigms. Learning that food is inedible (LFI) represents a robust form of associative, operant learning that induces short- (STM) and long-term memory (LTM) in "Aplysia." We investigated the…

Alternative Breaks: The Impact of Student-to-Student Connections in Non-Classroom Service-Learning Experiences

ERIC Educational Resources Information Center

Johnson, Zac D.

2013-01-01

Alternative breaks represent a new tradition in collegiate service learning (Campus Connect, 2011), wherein students forego traditional break activities (e.g., vacations) to participate in community service with their peers through university sponsored programs. Despite their growing popularity these programs are understudied. Research that has…

Fine Arts Standards of Learning for Virginia Public Schools

ERIC Educational Resources Information Center

Virginia Department of Education, 2006

2006-01-01

The Fine Arts Standards of Learning in this publication represent a major development in public education in Virginia, emphasizing the importance of instruction in the fine arts (dance arts, music, theatre arts, and visual arts) as an important part of Virginia's efforts to provide challenging educational programs in the public schools. Knowledge…

Differences in Developmental Experiences for Commonly Used Categories of Organized Youth Activities

ERIC Educational Resources Information Center

Hansen, David M.; Skorupski, William P.; Arrington, Tiffany L.

2010-01-01

The coherence of adolescents' self-reported learning experiences between subgroups of organized youth activities within five commonly used categories was evaluated. Data for the present study come from a representative sample of eleventh grade adolescents' reports on learning experiences in an organized youth activity using the Youth Experience…

Salient Predictors of School Dropout among Secondary Students with Learning Disabilities

ERIC Educational Resources Information Center

Doren, Bonnie; Murray, Christopher; Gau, Jeff M.

2014-01-01

The purpose of this study was to identify the unique contributions of a comprehensive set of predictors and the most salient predictors of school dropout among a nationally representative sample of students with learning disabilities (LD). A comprehensive set of theoretically and empirically relevant factors was selected for examination. Analyses…

Locus of Control and Academic Achievement: Integrating Social Learning Theory and Expectancy-Value Theory

ERIC Educational Resources Information Center

Youse, Keith Edward

2012-01-01

The current study examines predictors of math achievement and college graduation by integrating social learning theory and expectancy-value theory. Data came from a nationally-representative longitudinal database tracking 12,144 students over twelve years from 8th grade forward. Models for math achievement and college graduation were tested…

Pedagogical Catalysts of Civic Competence: The Development of a Critical Epistemological Model for Community-Based Learning

ERIC Educational Resources Information Center

Stokamer, Stephanie

2013-01-01

Democratic problem-solving necessitates an active and informed citizenry, but existing research on service-learning has shed little light on the relationship between pedagogical practices and civic competence outcomes. This study developed and tested a model to represent that relationship and identified pedagogical catalysts of civic competence…

Introducing a Personal Learning Environment in Higher Education. An Analysis of Connectivity

ERIC Educational Resources Information Center

Saz, Alexandra; Engel, Anna; Coll, César

2016-01-01

Universities have a key role to play in the progress and development of the Knowledge Society. They should lead the way in the design of teaching strategies that promote knowledge building. Personal learning environments (PLE) represent a groundbreaking new development in educational practices through the incorporation of Information and…

A Mixed-Response Intelligent Tutoring System Based on Learning from Demonstration

ERIC Educational Resources Information Center

Alvarez Xochihua, Omar

2012-01-01

Intelligent Tutoring Systems (ITS) have a significant educational impact on student's learning. However, researchers report time intensive interaction is needed between ITS developers and domain-experts to gather and represent domain knowledge. The challenge is augmented when the target domain is ill-defined. The primary problem resides in…

Moving into and out of High-Performance Sport: The Cultural Learning of an Artistic Gymnast

ERIC Educational Resources Information Center

Barker-Ruchti, Natalie; Schubring, Astrid

2016-01-01

Background: High-performance sport has been described as a formative environment through which athletes learn sporting skills but also develop athletic selves. Within this process, career movements related to selection for and de-selection from representative teams constitute critical moments. Further, retirement from sport can be problematic as…

Learning Achievement Packages, Sciences--Biology, English--Spanish, Revised Edition.

ERIC Educational Resources Information Center

Rendon, Rene; Rosenblum, Mark

Four suggested science curriculum units are presented. They represent a cross-section of materials that have been developed to deal with the learning problems of students with special language difficulties in grades 7 through 12, in addition to classes in adult education. The units were classroom-tested during 1970-72. The units, which are…

Global Learning Communities: A Comparison of Online Domestic and International Science Class Partnerships

ERIC Educational Resources Information Center

Kerlin, Steven C.; Carlsen, William S.; Kelly, Gregory J.; Goehring, Elizabeth

2013-01-01

The conception of Global Learning Communities (GLCs) was researched to discover potential benefits of the use of online technologies that facilitated communication and scientific data sharing outside of the normal classroom setting. 1,419 students in 635 student groups began the instructional unit. Students represented the classrooms of 33…

Lower Birth Weight and Diet in Taiwanese Girls More than Boys Predicts Learning Impediments

ERIC Educational Resources Information Center

Lee, Meei-Shyuan; Huang, Lin-Yuan; Chang, Yu-Hung; Huang, Susana Tzy-Ying; Yu, Hsiao-Li; Wahlqvist, Mark L.

2012-01-01

Possible links between lower birth weight, childhood diet, and learning in Taiwan are evaluated. The population representative Elementary School Children's Nutrition and Health Survey in Taiwan 2001-2002 and the national birth registry were used to examine school and social performance using the modified Scale for Assessing Emotional Disturbance…

Lifelong Learners in the Literature: Adventurers, Artists, Dreamers, Old Wise Men, Technologists, Unemployed, Little Witches, and Yuppies; A Bibliographical Survey.

ERIC Educational Resources Information Center

Giere, Ursula

1994-01-01

Discusses several models for lifelong learning, including permanent education, lifelong education, recurrent education, learning society, and deschooling society. Describes practices of lifelong education throughout the world. Includes a selected bibliography providing a chronological overview of works representing the lifelong education discourse…

Improving the English-Speaking Skills of Young Learners through Mobile Social Networking

ERIC Educational Resources Information Center

Sun, Zhong; Lin, Chin-Hsi; You, Jiaxin; Shen, Hai jiao; Qi, Song; Luo, Liming

2017-01-01

Most students of English as a foreign language (EFL) lack sufficient opportunities to practice their English-speaking skills. However, the recent development of social-networking sites (SNSs) and mobile learning, and especially mobile-assisted language learning, represents new opportunities for these learners to practice speaking English in a…

Using Action Verbs as Learning Outcomes: Applying Bloom's Taxonomy in Measuring Instructional Objectives in Introductory Psychology

ERIC Educational Resources Information Center

Nevid, Jeffrey S.; McClelland, Nate

2013-01-01

We used a set of action verbs based on Bloom's taxonomy to assess learning outcomes in two college-level introductory psychology courses. The action verbs represented an acronym, IDEA, comprising skills relating to identifying, defining or describing, evaluating or explaining, and applying psychological knowledge. Exam performance demonstrated…

Beyond Student Learning Outcomes: Developing Comprehensive, Strategic Assessment Plans for Advising Programmes

ERIC Educational Resources Information Center

McClellan, Jeffrey L.

2011-01-01

This article argues that while the importance of assessment in academic advising is clear and the current emphasis on defining and measuring student learning outcomes represents an essential component of any comprehensive advising assessment plan, an even more comprehensive understanding of programme assessment is needed. Drawing upon business…

Critical Analysis on Open Source LMSs Using FCA

ERIC Educational Resources Information Center

Sumangali, K.; Kumar, Ch. Aswani

2013-01-01

The objective of this paper is to apply Formal Concept Analysis (FCA) to identify the best open source Learning Management System (LMS) for an E-learning environment. FCA is a mathematical framework that represents knowledge derived from a formal context. In constructing the formal context, LMSs are treated as objects and their features as…

The Role of Response Bias in Perceptual Learning

ERIC Educational Resources Information Center

Jones, Pete R.; Moore, David R.; Shub, Daniel E.; Amitay, Sygal

2015-01-01

Sensory judgments improve with practice. Such perceptual learning is often thought to reflect an increase in perceptual sensitivity. However, it may also represent a decrease in response bias, with unpracticed observers acting in part on a priori hunches rather than sensory evidence. To examine whether this is the case, 55 observers practiced…

Exploring the Relationship between Student Approaches to Learning and Reading Achievement at the School Level

ERIC Educational Resources Information Center

Musu-Gillette, Lauren E.; Barofsky, Meryl Y.; List, Alexandra

2015-01-01

Using the Early Childhood Longitudinal Study, Kindergarten Cohort of 1998 (ECLS-K, 98), a nationally representative sample of kindergarteners in the United States, we investigated the relationship between approaches to learning and spring reading achievement with particular emphasis on classroom and school-level differences. We employed…

Automated Analysis of Short Responses in an Interactive Synthetic Tutoring System for Introductory Physics

ERIC Educational Resources Information Center

Nakamura, Christopher M.; Murphy, Sytil K.; Christel, Michael G.; Stevens, Scott M.; Zollman, Dean A.

2016-01-01

Computer-automated assessment of students' text responses to short-answer questions represents an important enabling technology for online learning environments. We have investigated the use of machine learning to train computer models capable of automatically classifying short-answer responses and assessed the results. Our investigations are part…

Scaffolding Practices that Enhance Mathematics Learning

ERIC Educational Resources Information Center

Anghileri, Julia

2006-01-01

It is over 25 years since Wood, Bruner and Ross (1976, "Journal of Child Psychology and Psychiatry," 17, 89-100) introduced the idea of "scaffolding" to represent the way children's learning can be supported. Despite problems, this metaphor has enduring attraction in the way it emphasises the intent to support a sound foundation with increasing…

Constructing Concept Maps to Encourage Meaningful Learning in Science Classroom

ERIC Educational Resources Information Center

Akcay, Hakan

2017-01-01

The purpose of this activity is to demonstrate science teaching and assessing what is learned via using concept maps. Concept mapping is a technique for visually representing the structure of information. Concept mapping allows students to understand the relationships between concepts of science by creating a visual map of the connections. Concept…

The Relation between Children's Conceptual Functioning with Color and Color Term Acquisition

ERIC Educational Resources Information Center

Kowalski, Kurt; Zimiles, Herbert

2006-01-01

Young children experience considerable difficulty in learning their first few color terms. One explanation for this difficulty is that initially they lack a conceptual representation of color sufficiently abstract to support word meaning. This hypothesis, that prior to learning color terms children do not represent color as an abstraction, was…

Agile Manifesto for Teaching and Learning

ERIC Educational Resources Information Center

Krehbiel, Timothy C.; Salzarulo, Peter A.; Cosmah, Michelle L.; Forren, John; Gannod, Gerald; Havelka, Douglas; Hulshult, Andrea R.; Merhout, Jeffrey

2017-01-01

A group of faculty members representing six colleges at a public university formed a learning community to study the Agile Way of Working--a method of workplace collaboration widely used in software development--and to determine whether the concepts, practices, and benefits of Agile are applicable to higher education settings. After more than two…

Segmenting the Net-Generation: Embracing the Next Level of Technology

ERIC Educational Resources Information Center

Smith, Russell K.

2014-01-01

A segmentation study is used to partition college students into groups that are more or less likely to adopt tablet technology as a learning tool. Because the college population chosen for study presently relies upon laptop computers as their primary learning device, tablet technology represents a "next step" in technology. Student…

Activity File of Learning Center and Classroom Multi-Cultural Activities.

ERIC Educational Resources Information Center

Riverside Unified School District, CA.

The cards in this file are representative samples of the types of activities developed by teachers involved in a Title I funded learning center of multi-cultural classroom activities for elementary school students. The five cultures that are stuoied are those of blacks, Asian Americans, native Americans, Mexican Americans, and Anglos. A…

Never-Ending Learning

DTIC Science & Technology

2010-08-01

they begin or end an instance. The learned model uses part-of-speech features to identify typical music group names (e.g., The Beatles , The Ramones...APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED. STINFO COPY The views and...conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either

Lifelong Learning Research Conference Proceedings (5th, College Park, MD, February 17-18, 1983).

ERIC Educational Resources Information Center

Whaples, Gene C.; Rivera, William M.

These proceedings contain 47 papers presented at a conference focusing on nonformal adult education. Papers deal with 12 adult/continuing education content areas. These content areas and representative paper focuses are adult development (the role of gerontology programs in life transitions, the impact of development on adult learning), aging…

The Effectiveness of Placing Temporal Constraints on a Transmedia Stem Learning Experience for Young Children

ERIC Educational Resources Information Center

Paulsen, Christine Andrews; Andrews, Jessica Rueter

2014-01-01

This article describes a transmedia learning experience for early school-aged children. The experience represented an effort to transition a primarily television-based series to a primarily web-based series. Children watched new animation, completed online activities designed to promote STEM (science, technology, engineering, and math)…

Social Cognition and Its Relation to Psychosocial Adjustment in Children with Nonverbal Learning Disabilities

ERIC Educational Resources Information Center

Galway, Tanya M.; Metsala, Jamie L.

2011-01-01

The current study examined social cognitive skills in children with nonverbal learning disabilities (NLD) compared to normally achieving (NA) children. The relation between social cognitive skills and psychosocial adjustment was also investigated. There were no group differences on children's ability to represent orally presented social vignettes.…

Q Workshop: An Application of Q Methodology for Visualizing, Deliberating and Learning Contrasting Perspectives

ERIC Educational Resources Information Center

Yoshizawa, Go; Iwase, Mineyo; Okumoto, Motoko; Tahara, Keiichiro; Takahashi, Shingo

2016-01-01

A value-centered approach to science, technology and society (STS) education illuminates the need of reflexive and relational learning through communication and public engagement. Visualization is a key to represent and compare mental models such as assumptions, background theories and value systems that tacitly shape our own understanding,…

Fragmentation and Consolidation: Recent Articles on Vocabulary Acquisition

ERIC Educational Resources Information Center

Broady, Elspeth

2008-01-01

Vocabulary can no longer be said to be "a Cinderella topic", at least so far as its representation in other journals is concerned. Research articles on vocabulary learning and teaching now occur frequently and have been particularly well represented in recent issues of the North American research journal "Language Learning". While studies of…

The patient as experience broker in clinical learning.

PubMed

Stockhausen, Lynette J

2009-05-01

A review of the literature reveals deficit information on patient's involvement in student's learning. The study presented in this paper investigates how the educationally unprepared patient engages with students and experienced clinicians to become involved in learning and teaching encounters. As a qualitative study 14 adult patients were interviewed to determine how they perceived experienced clinicians and students engage in learning and teaching moments and how the patient contributes to students learning to care. Revealed is a new and exciting dimension in learning and teaching in the clinical environment. Patients as experience brokers are positioned in a unique learning triad as they mediate and observe teaching and learning to care between students and experienced clinicians whilst also becoming participants in teaching to care. Further investigation is warranted to determine the multi-dimensional aspects of patients' involvement in student learning in various clinical environments. Future studies have the potential to represent a new educational perspective (andragogy).

Statistical learning using real-world scenes: extracting categorical regularities without conscious intent.

PubMed

Brady, Timothy F; Oliva, Aude

2008-07-01

Recent work has shown that observers can parse streams of syllables, tones, or visual shapes and learn statistical regularities in them without conscious intent (e.g., learn that A is always followed by B). Here, we demonstrate that these statistical-learning mechanisms can operate at an abstract, conceptual level. In Experiments 1 and 2, observers incidentally learned which semantic categories of natural scenes covaried (e.g., kitchen scenes were always followed by forest scenes). In Experiments 3 and 4, category learning with images of scenes transferred to words that represented the categories. In each experiment, the category of the scenes was irrelevant to the task. Together, these results suggest that statistical-learning mechanisms can operate at a categorical level, enabling generalization of learned regularities using existing conceptual knowledge. Such mechanisms may guide learning in domains as disparate as the acquisition of causal knowledge and the development of cognitive maps from environmental exploration.

Production system chunking in SOAR: Case studies in automated learning

NASA Technical Reports Server (NTRS)

Allen, Robert

1989-01-01

A preliminary study of SOAR, a general intelligent architecture for automated problem solving and learning, is presented. The underlying principles of universal subgoaling and chunking were applied to a simple, yet representative, problem in artificial intelligence. A number of problem space representations were examined and compared. It is concluded that learning is an inherent and beneficial aspect of problem solving. Additional studies are suggested in domains relevant to mission planning and to SOAR itself.

A technology-assisted learning setup as assessment supplement for three persons with a diagnosis of post-coma vegetative state and pervasive motor impairment.

PubMed

Lancioni, Giulio E; Singh, Nirbhay N; O'Reilly, Mark F; Sigafoos, Jeff; Buonocunto, Francesca; Sacco, Valentina; Colonna, Fabio; Navarro, Jorge; Lanzilotti, Crocifissa; Bosco, Andrea; Megna, Gianfranco; De Tommaso, Marina

2009-01-01

Post-coma persons in an apparent condition of vegetative state and pervasive motor impairment pose serious problems in terms of assessment and intervention options. A technology-based learning assessment procedure might serve for them as a diagnostic supplement with possible implications for rehabilitation intervention. The learning assessment procedure adopted in this study relied on hand-closure and eye-blinking responses and on microswitch technology to detect such responses and to present stimuli. Three participants were involved in the study. The technology consisted of a touch/pressure sensor fixed on the hand or an optic sensor mounted on an eyeglasses' frame, which were combined with a control system linked to stimulus sources. The study adopted an ABABCB sequence, in which A represented baseline periods, B intervention periods with stimuli contingent on the responses, and C a control condition with stimuli presented non-contingently. Data showed that the level of responding during the B phases was significantly higher than the levels observed during the A phases as well as the C phase for two of the three participants (i.e., indicating clear signs of learning by them). Learning might be deemed to represent basic levels of knowledge/consciousness. Thus, detecting signs of learning might help one revise a previous diagnosis of vegetative state with wide implications for rehabilitation perspectives.

General cognitive principles for learning structure in time and space.

PubMed

Goldstein, Michael H; Waterfall, Heidi R; Lotem, Arnon; Halpern, Joseph Y; Schwade, Jennifer A; Onnis, Luca; Edelman, Shimon

2010-06-01

How are hierarchically structured sequences of objects, events or actions learned from experience and represented in the brain? When several streams of regularities present themselves, which will be learned and which ignored? Can statistical regularities take effect on their own, or are additional factors such as behavioral outcomes expected to influence statistical learning? Answers to these questions are starting to emerge through a convergence of findings from naturalistic observations, behavioral experiments, neurobiological studies, and computational analyses and simulations. We propose that a small set of principles are at work in every situation that involves learning of structure from patterns of experience and outline a general framework that accounts for such learning. (c) 2010 Elsevier Ltd. All rights reserved.

Toward the optimization of normalized graph Laplacian.

PubMed

Xie, Bo; Wang, Meng; Tao, Dacheng

2011-04-01

Normalized graph Laplacian has been widely used in many practical machine learning algorithms, e.g., spectral clustering and semisupervised learning. However, all of them use the Euclidean distance to construct the graph Laplacian, which does not necessarily reflect the inherent distribution of the data. In this brief, we propose a method to directly optimize the normalized graph Laplacian by using pairwise constraints. The learned graph is consistent with equivalence and nonequivalence pairwise relationships, and thus it can better represent similarity between samples. Meanwhile, our approach, unlike metric learning, automatically determines the scale factor during the optimization. The learned normalized Laplacian matrix can be directly applied in spectral clustering and semisupervised learning algorithms. Comprehensive experiments demonstrate the effectiveness of the proposed approach.

Learning and motivation in the human striatum.

PubMed

Shohamy, Daphna

2011-06-01

The past decade has seen a dramatic change in our understanding of the role of the striatum in behavior. Early perspectives emphasized a role for the striatum in habitual learning of stimulus-response associations and sequences of actions. Recent advances from human neuroimaging research suggest a broader role for the striatum in motivated learning. New findings demonstrate that the striatum represents multiple learning signals and highlight the contribution of the striatum across many cognitive domains and contexts. Recent findings also emphasize interactions between the striatum and other specialized brain systems for learning. Together, these findings suggest that the striatum contributes to a distributed network that learns to select actions based on their predicted value in order to optimize behavior. Copyright © 2011 Elsevier Ltd. All rights reserved.

Who Knows? Metacognitive Social Learning Strategies.

PubMed

Heyes, Cecilia

2016-03-01

To make good use of learning from others (social learning), we need to learn from the right others; from agents who know better than we do. Research on social learning strategies (SLSs) has identified rules that focus social learning on the right agents, and has shown that the behaviour of many animals conforms to these rules. However, it has not asked what the rules are made of, that is, about the cognitive processes implementing SLSs. Here, I suggest that most SLSs depend on domain-general, sensorimotor processes. However, some SLSs have the characteristics tacitly ascribed to all of them. These metacognitive SLSs represent 'who knows' in a conscious, reportable way, and have the power to promote cultural evolution. Copyright © 2015 Elsevier Ltd. All rights reserved.

Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions

PubMed Central

Yamada, Tatsuro; Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya

2017-01-01

An important characteristic of human language is compositionality. We can efficiently express a wide variety of real-world situations, events, and behaviors by compositionally constructing the meaning of a complex expression from a finite number of elements. Previous studies have analyzed how machine-learning models, particularly neural networks, can learn from experience to represent compositional relationships between language and robot actions with the aim of understanding the symbol grounding structure and achieving intelligent communicative agents. Such studies have mainly dealt with the words (nouns, adjectives, and verbs) that directly refer to real-world matters. In addition to these words, the current study deals with logic words, such as “not,” “and,” and “or” simultaneously. These words are not directly referring to the real world, but are logical operators that contribute to the construction of meaning in sentences. In human–robot communication, these words may be used often. The current study builds a recurrent neural network model with long short-term memory units and trains it to learn to translate sentences including logic words into robot actions. We investigate what kind of compositional representations, which mediate sentences and robot actions, emerge as the network's internal states via the learning process. Analysis after learning shows that referential words are merged with visual information and the robot's own current state, and the logical words are represented by the model in accordance with their functions as logical operators. Words such as “true,” “false,” and “not” work as non-linear transformations to encode orthogonal phrases into the same area in a memory cell state space. The word “and,” which required a robot to lift up both its hands, worked as if it was a universal quantifier. The word “or,” which required action generation that looked apparently random, was represented as an unstable space of the network's dynamical system. PMID:29311891

Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions.

PubMed

Yamada, Tatsuro; Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya

2017-01-01

An important characteristic of human language is compositionality. We can efficiently express a wide variety of real-world situations, events, and behaviors by compositionally constructing the meaning of a complex expression from a finite number of elements. Previous studies have analyzed how machine-learning models, particularly neural networks, can learn from experience to represent compositional relationships between language and robot actions with the aim of understanding the symbol grounding structure and achieving intelligent communicative agents. Such studies have mainly dealt with the words (nouns, adjectives, and verbs) that directly refer to real-world matters. In addition to these words, the current study deals with logic words, such as "not," "and," and "or" simultaneously. These words are not directly referring to the real world, but are logical operators that contribute to the construction of meaning in sentences. In human-robot communication, these words may be used often. The current study builds a recurrent neural network model with long short-term memory units and trains it to learn to translate sentences including logic words into robot actions. We investigate what kind of compositional representations, which mediate sentences and robot actions, emerge as the network's internal states via the learning process. Analysis after learning shows that referential words are merged with visual information and the robot's own current state, and the logical words are represented by the model in accordance with their functions as logical operators. Words such as "true," "false," and "not" work as non-linear transformations to encode orthogonal phrases into the same area in a memory cell state space. The word "and," which required a robot to lift up both its hands, worked as if it was a universal quantifier. The word "or," which required action generation that looked apparently random, was represented as an unstable space of the network's dynamical system.

Learning styles of first-year orthopedic surgical residents at 1 accredited institution.

PubMed

Caulley, Lisa; Wadey, Veronica; Freeman, Risa

2012-01-01

This study represents 1 arm of a 5-year prospective study investigating the learning styles of orthopedic residents and their surgical educators. This project investigates the learning styles of the 2009-2010 year 1 orthopedic surgical residents. A cross-sectional survey using the Kolb Learning Style Inventory was completed by 13 first year orthopedic residents. Direct 1-to-1 interviews were completed with the primary investigator and each participant using the Kolb Learning Style Inventory and learning styles were determined. Converging learning style was the most common among the residents (53.8%). Residents demonstrated a high tendency toward the learning skill of abstract conceptualization combined with active experimentation, and a transition from action-oriented to more reflective learning style with age and postgraduate education. These results may be useful in creating strategies specific to each learning style that will be offered to residents to enhance future teaching and learning. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning

PubMed Central

Vu, Tiep Huu; Mousavi, Hojjat Seyed; Monga, Vishal; Rao, Ganesh; Rao, UK Arvind

2016-01-01

In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures. In this paper, we propose an automatic feature discovery framework via learning class-specific dictionaries and present a low-complexity method for classification and disease grading in histopathology. Essentially, our Discriminative Feature-oriented Dictionary Learning (DFDL) method learns class-specific dictionaries such that under a sparsity constraint, the learned dictionaries allow representing a new image sample parsimoniously via the dictionary corresponding to the class identity of the sample. At the same time, the dictionary is designed to be poorly capable of representing samples from other classes. Experiments on three challenging real-world image databases: 1) histopathological images of intraductal breast lesions, 2) mammalian kidney, lung and spleen images provided by the Animal Diagnostics Lab (ADL) at Pennsylvania State University, and 3) brain tumor images from The Cancer Genome Atlas (TCGA) database, reveal the merits of our proposal over state-of-the-art alternatives. Moreover, we demonstrate that DFDL exhibits a more graceful decay in classification accuracy against the number of training images which is highly desirable in practice where generous training is often not available. PMID:26513781

The organization of an autonomous learning system

NASA Technical Reports Server (NTRS)

Kanerva, Pentti

1988-01-01

The organization of systems that learn from experience is examined, human beings and animals being prime examples of such systems. How is their information processing organized. They build an internal model of the world and base their actions on the model. The model is dynamic and predictive, and it includes the systems' own actions and their effects. In modeling such systems, a large pattern of features represents a moment of the system's experience. Some of the features are provided by the system's senses, some control the system's motors, and the rest have no immediate external significance. A sequence of such patterns then represents the system's experience over time. By storing such sequences appropriately in memory, the system builds a world model based on experience. In addition to the essential function of memory, fundamental roles are played by a sensory system that makes raw information about the world suitable for memory storage and by a motor system that affects the world. The relation of sensory and motor systems to the memory is discussed, together with how favorable actions can be learned and unfavorable actions can be avoided. Results in classical learning theory are explained in terms of the model, more advanced forms of learning are discussed, and the relevance of the model to the frame problem of robotics is examined.

Tone of voice guides word learning in informative referential contexts

PubMed Central

Reinisch, Eva; Jesse, Alexandra; Nygaard, Lynne C.

2012-01-01

Listeners infer which object in a visual scene a speaker refers to from the systematic variation of the speaker’s tone of voice (ToV). We examined whether ToV also guides word learning. During exposure, participants heard novel adjectives (e.g., “daxen”) spoken with a ToV representing hot, cold, strong, weak, big, or small while viewing picture pairs representing the meaning of the adjective and its antonym (e.g., elephant-ant for big-small). Eye fixations were recorded to monitor referent detection and learning. During test, participants heard the adjectives spoken with a neutral ToV, while selecting referents from familiar and unfamiliar picture pairs. Participants were able to learn the adjectives’ meanings, and, even in the absence of informative ToV, generalise them to new referents. A second experiment addressed whether ToV provides sufficient information to infer the adjectival meaning or needs to operate within a referential context providing information about the relevant semantic dimension. Participants who saw printed versions of the novel words during exposure performed at chance during test. ToV, in conjunction with the referential context, thus serves as a cue to word meaning. ToV establishes relations between labels and referents for listeners to exploit in word learning. PMID:23134484

Automated analysis of short responses in an interactive synthetic tutoring system for introductory physics

NASA Astrophysics Data System (ADS)

Nakamura, Christopher M.; Murphy, Sytil K.; Christel, Michael G.; Stevens, Scott M.; Zollman, Dean A.

2016-06-01

Computer-automated assessment of students' text responses to short-answer questions represents an important enabling technology for online learning environments. We have investigated the use of machine learning to train computer models capable of automatically classifying short-answer responses and assessed the results. Our investigations are part of a project to develop and test an interactive learning environment designed to help students learn introductory physics concepts. The system is designed around an interactive video tutoring interface. We have analyzed 9 with about 150 responses or less. We observe for 4 of the 9 automated assessment with interrater agreement of 70% or better with the human rater. This level of agreement may represent a baseline for practical utility in instruction and indicates that the method warrants further investigation for use in this type of application. Our results also suggest strategies that may be useful for writing activities and questions that are more appropriate for automated assessment. These strategies include building activities that have relatively few conceptually distinct ways of perceiving the physical behavior of relatively few physical objects. Further success in this direction may allow us to promote interactivity and better provide feedback in online learning systems. These capabilities could enable our system to function more like a real tutor.

Machine Learning

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chikkagoudar, Satish; Chatterjee, Samrat; Thomas, Dennis G.

The absence of a robust and unified theory of cyber dynamics presents challenges and opportunities for using machine learning based data-driven approaches to further the understanding of the behavior of such complex systems. Analysts can also use machine learning approaches to gain operational insights. In order to be operationally beneficial, cybersecurity machine learning based models need to have the ability to: (1) represent a real-world system, (2) infer system properties, and (3) learn and adapt based on expert knowledge and observations. Probabilistic models and Probabilistic graphical models provide these necessary properties and are further explored in this chapter. Bayesian Networksmore » and Hidden Markov Models are introduced as an example of a widely used data driven classification/modeling strategy.« less

Machine learning with quantum relative entropy

NASA Astrophysics Data System (ADS)

Tsuda, Koji

2009-12-01

Density matrices are a central tool in quantum physics, but it is also used in machine learning. A positive definite matrix called kernel matrix is used to represent the similarities between examples. Positive definiteness assures that the examples are embedded in an Euclidean space. When a positive definite matrix is learned from data, one has to design an update rule that maintains the positive definiteness. Our update rule, called matrix exponentiated gradient update, is motivated by the quantum relative entropy. Notably, the relative entropy is an instance of Bregman divergences, which are asymmetric distance measures specifying theoretical properties of machine learning algorithms. Using the calculus commonly used in quantum physics, we prove an upperbound of the generalization error of online learning.

Learning and inference in a nonequilibrium Ising model with hidden nodes.

PubMed

Dunn, Benjamin; Roudi, Yasser

2013-02-01

We study inference and reconstruction of couplings in a partially observed kinetic Ising model. With hidden spins, calculating the likelihood of a sequence of observed spin configurations requires performing a trace over the configurations of the hidden ones. This, as we show, can be represented as a path integral. Using this representation, we demonstrate that systematic approximate inference and learning rules can be derived using dynamical mean-field theory. Although naive mean-field theory leads to an unstable learning rule, taking into account Gaussian corrections allows learning the couplings involving hidden nodes. It also improves learning of the couplings between the observed nodes compared to when hidden nodes are ignored.

Behavioral semantics of learning and crossmodal processing in auditory cortex: the semantic processor concept.

PubMed

Scheich, Henning; Brechmann, André; Brosch, Michael; Budinger, Eike; Ohl, Frank W; Selezneva, Elena; Stark, Holger; Tischmeyer, Wolfgang; Wetzel, Wolfram

2011-01-01

Two phenomena of auditory cortex activity have recently attracted attention, namely that the primary field can show different types of learning-related changes of sound representation and that during learning even this early auditory cortex is under strong multimodal influence. Based on neuronal recordings in animal auditory cortex during instrumental tasks, in this review we put forward the hypothesis that these two phenomena serve to derive the task-specific meaning of sounds by associative learning. To understand the implications of this tenet, it is helpful to realize how a behavioral meaning is usually derived for novel environmental sounds. For this purpose, associations with other sensory, e.g. visual, information are mandatory to develop a connection between a sound and its behaviorally relevant cause and/or the context of sound occurrence. This makes it plausible that in instrumental tasks various non-auditory sensory and procedural contingencies of sound generation become co-represented by neuronal firing in auditory cortex. Information related to reward or to avoidance of discomfort during task learning, that is essentially non-auditory, is also co-represented. The reinforcement influence points to the dopaminergic internal reward system, the local role of which for memory consolidation in auditory cortex is well-established. Thus, during a trial of task performance, the neuronal responses to the sounds are embedded in a sequence of representations of such non-auditory information. The embedded auditory responses show task-related modulations of auditory responses falling into types that correspond to three basic logical classifications that may be performed with a perceptual item, i.e. from simple detection to discrimination, and categorization. This hierarchy of classifications determine the semantic "same-different" relationships among sounds. Different cognitive classifications appear to be a consequence of learning task and lead to a recruitment of different excitatory and inhibitory mechanisms and to distinct spatiotemporal metrics of map activation to represent a sound. The described non-auditory firing and modulations of auditory responses suggest that auditory cortex, by collecting all necessary information, functions as a "semantic processor" deducing the task-specific meaning of sounds by learning. © 2010. Published by Elsevier B.V.