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Nedungadi, Prema; Raman, Raghu – Educational Technology Research and Development, 2012
Most personalized learning systems are designed for either personal computers (e-learning) or mobile devices (m-learning). Our research has resulted in a cloud-based adaptive learning system that incorporates mobile devices into a classroom setting. This system is fully integrated into the formative assessment process and, most importantly,…
Descriptors: Electronic Learning, Feedback (Response), Formative Evaluation, Telecommunications
Fiorella, Logan; Vogel-Walcutt, Jennifer J.; Schatz, Sae – Educational Technology Research and Development, 2012
Effectively presenting complex material is a crucial component of instructional design within simulation-based training (SBT) environments. One approach to facilitate the acquisition of higher-order knowledge is to embed instructional strategies within the systems themselves. Currently, however, there are few established guidelines to inform…
Descriptors: Feedback (Response), Instructional Design, Thinking Skills, Decision Making
Collaboration Modality, Cognitive Load, and Science Inquiry Learning in Virtual Inquiry Environments
Erlandson, Benjamin E.; Nelson, Brian C.; Savenye, Wilhelmina C. – Educational Technology Research and Development, 2010
Educational multi-user virtual environments (MUVEs) have been shown to be effective platforms for situated science inquiry curricula. While researchers find MUVEs to be supportive of collaborative scientific inquiry processes, the complex mix of multi-modal messages present in MUVEs can lead to cognitive overload, with learners unable to…
Descriptors: Education Majors, Undergraduate Study, Cooperation, Cognitive Processes