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Kangas, Brian D. – International Journal of Teaching and Learning in Higher Education, 2012
"The Cognitive Style of PowerPoint: Pitching Out Corrupts Within" by Edward Tufte (2006) condemns the software for failing to help users achieve many of the goals of an effective presentation and instead offers a low resolution platform with a deeply hierarchical single-path structure capable of convening a trivial amount of information even over…
Descriptors: Educational Technology, Cognitive Style, Computer Software, Computer Software Evaluation
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Duran, E. B.; Amandi, A. – Interactive Learning Environments, 2011
Student models are crucial components in personalised distance learning environments. These models usually include individual characteristics such as the level of knowledge of a given topic, the learning style or the type of personality, the level of participation and so on. However, when the focus is on group activities, these learning…
Descriptors: Cognitive Style, Individual Characteristics, Group Activities, Knowledge Level
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Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
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Liu, Ming-Chi; Huang, Yueh-Min; Kinshuk; Wen, Dunwei – Educational Technology Research and Development, 2013
It is critical that students learn how to retrieve useful information in hypermedia environments, a task that is often especially difficult when it comes to image retrieval, as little text feedback is given that allows them to reformulate keywords they need to use. This situation may make students feel disorientated while attempting image…
Descriptors: Navigation (Information Systems), Online Searching, Hypermedia, Predictor Variables
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Popescu, E. – Journal of Computer Assisted Learning, 2010
Personalized instruction is seen as a desideratum of today's e-learning systems. The focus of this paper is on those platforms that use learning styles as personalization criterion called learning style-based adaptive educational systems. The paper presents an innovative approach based on an integrative set of learning preferences that alleviates…
Descriptors: Electronic Learning, Undergraduate Students, Cognitive Style, Individualized Instruction
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Chen, Chiu-Jung; Liu, Pei-Lin – Turkish Online Journal of Educational Technology - TOJET, 2012
The purpose of this study was to explore the effectiveness of using learner-generated and instructor-provided multimedia annotations on foreign language reading comprehension and attitudes. The four research questions are: (1) what are the effects of using different multimedia annotations on reading comprehension for learners of different…
Descriptors: Foreign Countries, Hypermedia, Cognitive Style, Reading Comprehension
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Huang, Chenn-Jung; Wang, Yu-Wu; Huang, Tz-Hau; Chen, Ying-Chen; Chen, Heng-Ming; Chang, Shun-Chih – Computers & Education, 2011
Recent research indicated that students' ability to construct evidence-based explanations in classrooms through scientific inquiry is critical to successful science education. Structured argumentation support environments have been built and used in scientific discourse in the literature. To the best of our knowledge, no research work in the…
Descriptors: Electronic Learning, Feedback (Response), Persuasive Discourse, Teaching Load
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Tseng, J. C. R.; Chu, H. C.; Hwang, G. J.; Tsai, C. C. – Computers & Education, 2008
Previous research of adaptive learning mainly focused on improving student learning achievements based only on single-source of personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed by basing upon two main sources of personalization…
Descriptors: Cognitive Style, Instructional Design, Computer Software, Individualized Instruction
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Blaye, Agnes; And Others – European Journal of Psychology of Education, 1992
Reviews research on interactive computer learning. Examines the extent to which learner-computer interaction and learner-learner interaction can interfere with or support one another. Finds that viewing collaborative learning as joint negotiation of a common problem helps to define optimal characteristics of educational software. (CFR)
Descriptors: Cognitive Processes, Cognitive Style, Computer Software, Computer Software Evaluation