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Open Learner Models in Smart Learning Environments
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Author(s): Angeliki Leonardou (University of Patras, Greece), Maria Rigou (University of Patras, Greece)and John D. Garofalakis (University of Patras, Greece)
Copyright: 2019
Pages: 23
Source title:
Cases on Smart Learning Environments
Source Author(s)/Editor(s): Abtar Darshan Singh (Hamdan Bin Mohammed Smart University, UAE), Shriram Raghunathan (VIT Bhopal University, India), Edward Robeck (American Geosciences Institute, USA)and Bibhya Sharma (University of the South Pacific, Fiji)
DOI: 10.4018/978-1-5225-6136-1.ch019
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Abstract
Smart learning environments (SLEs), like all adaptive learning systems, are built around the learner model and use it to support a variety of interventions such as mastery learning, scaffolding, adaptive sequencing, and adaptive navigation support. Open learner models (OLMs) “expose” the learner data to users through easily perceivable visual representations aiming to improve student self-reflection and self-regulated learning and also increase user motivation and even foster collaboration. This chapter presents the evolution and current state of OLMs, summarizes related research in the field emphasizing on OLM types, locus of control between the system and the user and visualizations categorized on the basis of quantized/continuous and structured/unstructured representations. OLM cases implementing typical SLEs features are described, along with representative real-life scenarios of incorporating OLMs in SLEs. Moreover, the chapter provides guidelines for designing effective OLMs and discusses current research trends in this active scientific field.
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