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Küçük, Sevda; Kapakin, Samet; Göktas, Yüksel – Anatomical Sciences Education, 2016
Augmented reality (AR), a new generation of technology, has attracted the attention of educators in recent years. In this study, a MagicBook was developed for a neuroanatomy topic by using mobile augmented reality (mAR) technology. This technology integrates virtual learning objects into the real world and allow users to interact with the…
Descriptors: Anatomy, Medical Education, Undergraduate Students, Medical Students
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Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment
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Peterson, Gary W.; And Others – Computers in Human Behavior, 1994
Describes a study of undergraduate students that was conducted to compare the effectiveness of three computer-assisted career guidance (CACG) systems in terms of their contribution to career decision making and the attitudes of students regarding the helpfulness of CACG. Evaluation standards are discussed, and measurement techniques are explained.…
Descriptors: Career Choice, Career Information Systems, Comparative Analysis, Computer Oriented Programs