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Showing 1 to 15 of 23 results Save | Export
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Junfeng Man; Rongke Zeng; Xiangyang He; Hua Jiang – Knowledge Management & E-Learning, 2024
At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…
Descriptors: Cognitive Ability, Student Evaluation, Algorithms, Learning Processes
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Senaratne, Samanthi; Gunarathne, Nuwan; Herath, Roshan; Samudrage, Dileepa; Cooray, Thilini – Accounting Education, 2022
This paper explores the institutional pressures and responses associated with introducing integrated reporting into university-level accounting education in Sri Lanka. In particular, we are looking to see whether those responses lead to deep or surface learning in students. Drawing on the theory of new institutional sociology, the institutional…
Descriptors: Foreign Countries, Accounting, Curriculum Development, Alignment (Education)
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Mao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics
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Mbaye, Baba – International Association for Development of the Information Society, 2018
The significant amount of information available on the web has led to difficulties for the learner to find useful information and relevant resources to carry out their training. The recommender systems have achieved significant success in the area of e-commerce, they still have difficulties in formulating relevant recommendations on e-learning…
Descriptors: Information Systems, Electronic Learning, Referral, Information Sources
Wright, Mary C. – Johns Hopkins University Press, 2023
Centers for Teaching and Learning (CTLs) are important change agents on campus with strategies that are unique and impactful--but sometimes unarticulated or misaligned. In this wide-ranging book, Mary C. Wright maps the landscape of 1,200+ CTLs in the United States through a unique approach: by conducting complex web searches to identify and…
Descriptors: Change Agents, Educational Strategies, Online Searching, Classification
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Simon, Ellen; Chambless, Della; Alves, Ubirata Kickhofel – Language Sciences, 2010
This paper examines the role of orthographic information used during training on the ability to learn a non-native vowel contrast. We investigate whether exposure to novel grapheme-to-phoneme correspondences can help learners in the acquisition of a new phonological contrast. Three related experiments were carried out on the acquisition of the…
Descriptors: Vowels, Classification, French, North American English
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Quinn, Paul C.; Doran, Matthew M.; Reiss, Jason E.; Hoffman, James E. – Developmental Science, 2010
Subordinate-level category-learning processes in infants were investigated with ERP and looking-time measures. ERPs were recorded while 6- to 7-month-olds were presented with Saint Bernard images during familiarization, followed by novel Saint Bernards interspersed with Beagles during test. In addition, infant looking times were measured during a…
Descriptors: Infants, Classification, Learning Processes, Novels
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Rehder, Bob; Kim, ShinWoo – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2010
Research has documented two effects of interfeature causal knowledge on classification. A "causal status effect" occurs when features that are causes are more important to category membership than their effects. A "coherence effect" occurs when combinations of features that are consistent with causal laws provide additional…
Descriptors: Classification, Probability, Experiments, Experimental Psychology
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Lee, Michael D.; Vanpaemel, Wolf – Cognitive Science, 2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that considers an existing model of category representation, the Varying Abstraction Model (VAM), which attempts to infer the representations people use from their behavior in…
Descriptors: Computation, Inferences, Cognitive Science, Models
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Ang, Chee Siang; Avni, Einav; Zaphiris, Panayiotis – International Journal on E-Learning, 2008
This article reviews a range of literature of computer games and learning theories and attempts to establish a link between them by proposing a typology of games which we use as a new usability measure for the development of guidelines for game-based learning. First, we examine game literature in order to understand the key elements that…
Descriptors: Constructivism (Learning), Classification, Guidelines, Educational Technology
Misko, Josie; Priest, Suellen – National Centre for Vocational Education Research (NCVER), 2009
An analysis of student verbatim responses in the Student Outcomes Survey provides suggestions for how the vocational education and training (VET) system could be improved. Eight major domains are discussed: course relevance and design; staff attributes and behaviours; teaching and learning practices; access to courses; facilities and services;…
Descriptors: Outcomes of Education, Vocational Education, Student Attitudes, Surveys
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Scharfenberg, Franz-Josef; Bogner, Franz X.; Klautke, Siegfried – International Journal of Science Education, 2008
Our research objectives focused on monitoring (i) students' activities during experimental teaching phases in an out-of-school gene technology laboratory, and (ii) potential relationships with variables such as work group size and cognitive achievement. Altogether, we videotaped 20 work groups of A-level 12th graders (n = 67) by continuous…
Descriptors: Science Laboratories, Genetics, Science Activities, Videotape Recordings
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Padiotis, Ioannis; Mikropoulos, Tassos A. – Educational Technology & Society, 2010
The present research investigates the contribution of an interactive educational virtual environment on milk pasteurization to the learning outcomes of 40 students in a technical secondary school using SOLO taxonomy. After the interaction with the virtual environment the majority of the students moved to higher hierarchical levels of understanding…
Descriptors: Foreign Countries, Science Instruction, Technology Education, Misconceptions
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Jones, Matt; Love, Bradley C.; Maddox, W. Todd – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2006
Accounts of learning and generalization typically focus on factors related to lasting changes in representation (i.e., long-term memory). The authors present evidence that shorter term effects also play a critical role in determining performance and that these recency effects can be subdivided into perceptual and decisional components.…
Descriptors: Long Term Memory, Perception, Classification, Short Term Memory
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