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Using an instructional expert to mediate the locus of control in adaptive e-learning systems

Published:29 April 2012Publication History

ABSTRACT

This paper considers the issue of the locus of control in adaptive e-learning environments from the perspective of a new stakeholder; the instructional expert. With an ever increasing ability to gain insight into learners based on their online activities, instructors and instructional designers are poised to add value to the process of adaptation, a process normally reserved for either systems designers or the end user. This work describes the design of an e-learning system which provides automated analytics information to these experts for consideration, and then leverages the insights these experts have made as the basis for content and feature adaptation.

References

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  2. C. Brooks, C. Demmans Epp, G. Logan, and J. Greer. The Who, What, When, and Why of Lecture Capture. In Proceedings of the 1st Annual Conference on Learning Analytics (LAK11), Banff, AB, Canada, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. C. Carmean and P. Mizzi. The Case of Nudge Analytics, 2010.Google ScholarGoogle Scholar
  4. J. Kay. Scrutable adaptation: Because we can and must. Adaptive Hypermedia and Adaptive Web-Based, pages 11--19, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. U. of Purdue. Course Signals - Stoplights for Student Success.Google ScholarGoogle Scholar

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  1. Using an instructional expert to mediate the locus of control in adaptive e-learning systems

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              • Published in

                cover image ACM Conferences
                LAK '12: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
                April 2012
                282 pages
                ISBN:9781450311113
                DOI:10.1145/2330601

                Copyright © 2012 ACM

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 29 April 2012

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                Overall Acceptance Rate236of782submissions,30%

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