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Peer reviewedHirumi, Atsusi – Quarterly Review of Distance Education, 2002
Proposes a three-level framework for classifying elearning (electronic learning) interactions in distance education. Illustrates how the framework may be used to design and sequence electronic learning interactions, analyze planned interactions to reduce the need for costly revisions, and organize research to help interpret findings and guide…
Descriptors: Classification, Instructional Design, Interaction, Man Machine Systems
PDF pending restorationKaplow, 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
Schwier, Richard A. – 1992
This paper rejects the hardware-based "levels of interaction" made popular in interactive video literature to describe human-machine interaction in favor of a new taxonomy of learner-media interaction based on the type of cognitive engagement experienced by learners. Interaction can be described on three levels, based on the quality of…
Descriptors: Artificial Intelligence, Classification, Cognitive Processes, Instructional Design
Crookall, David; Martin, Allan – Simulation/Games for Learning, 1985
Examines relationships between the two major components of computer simulations, the computer and participants; highlights major differences between computer-assisted, computer-based, and computer-controlled simulations; and describes three computer-assisted simulations to illustrate the interdependence of the major components. (MBR)
Descriptors: Classification, Communication (Thought Transfer), Computer Simulation, Computers
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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
Peer reviewedWishart, 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


