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Yusoff, Rasimah Che Mohd; Zaman, Halimah Badioze; Ahmad, Azlina – Australasian Journal of Educational Technology, 2011
This study investigates users' perception and acceptance of mixed reality (MR) technology. Acceptance of new information technologies has been important research area since 1990s. It is important to understand the reasons why people accept information technologies, as this can help to improve design, evaluation and prediction how users will…
Descriptors: Foreign Countries, Intention, Biomedicine, Science Instruction
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
Peer reviewedFord, Nigel; Ford, Rosalind – Information Processing and Management, 1993
Discussion of information retrieval, knowledge representation, and computer-assisted learning focuses on a study that created a computer-based system designed to observe and record users' interactions with an ideal knowledge base consisting of unrevealed subject experts, appropriate documentation, and computer files. Information accessing…
Descriptors: Access to Information, Cognitive Style, Computer Assisted Instruction, Computer System Design
Peer reviewedEllis, David; And Others – Electronic Library, 1993
This project was designed to provide a framework for user evaluation of software packages and hypertext environments in terms of the extent to which they provide flexibility for learners to follow their preferred learning styles. Evaluation was carried out in relation to hypertext packages, learning styles and outcomes, and system design. (four…
Descriptors: Business, Cognitive Style, Computer Assisted Instruction, Computer Software Evaluation

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