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Sabourin, Jennifer L.; Mott, Bradford W.; Lester, James C. – International Educational Data Mining Society, 2012
Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing interest. Unfortunately, monitoring these behaviors in real-time has proven…
Descriptors: Computer Assisted Instruction, Goal Orientation, Prediction, Classification
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Kaplow, Roy; And Others – 1973
It is possible to separate the use of computers for instructional purposes into four modes, distinguished by the style of user interaction and sometimes by the implementation methods used. The four major modes are: 1) conversational, in which the interaction resembles an exchange between two persons; 2) data-based, wherein one component of the…
Descriptors: Classification, Computer Assisted Instruction, Computer Science, Computers
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Sedig, Kamran; Sumner, Mark – International Journal of Computers for Mathematical Learning, 2006
This paper presents a characterization of computer-based interactions by which learners can explore and investigate visual mathematical representations (VMRs). VMRs (e.g., geometric structures, graphs, and diagrams) refer to graphical representations that visually encode properties and relationships of mathematical structures and concepts.…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Visual Stimuli, Mathematical Concepts
Jonassen, David H. – Educational Technology, 1985
Proposes a taxonomy which describes interactivity and adaptation outside the context of any particular medium. Designed to facilitate the instructional design and media selection processes, this taxonomy is represented as a cube whose axes represent interactivity and internal and external adaptation levels. Levels of interactivity and adaptation…
Descriptors: Branching, Classification, Cognitive Style, Computer Assisted Instruction
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Wishart, Jocelyn; Canter, David – Computers and Education, 1988
Reports the development of a classification system for microcomputer-based software according to the depth and type of involvement of the user with the software. Three studies are discussed that used the facet approach, multivariate statistical procedures, and questionnaires to investigate types of involvement produced by computer programs. (18…
Descriptors: Classification, Computer Assisted Instruction, Computer Games, Courseware
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers