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A Context Awareness System for Online Learning: Design Based Research
Article

, University of Missouri-Columbia, United States ; , Yale University, United States ; , University of Missouri-Columbia, United States

International Journal on E-Learning Volume 8, Number 3, ISSN 1537-2456 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA

Abstract

A design based research strategy examining the impressions and behavior of members of courses taught entirely online is used for refining a context-aware activity notification system (CANS). The findings show that CANS must address substantial variety in courses and members while also fitting with multitasking between online and real world activities for the members. Two dimensions of online tools to support learning in a multitasking environment were identified: salience and meaningfulness. Salience is the tuning of awareness information to a particular technological and pedagogical context. Meaningfulness is achieved by ensuring that awareness data for a particular context align with the mental model of users receiving it. The design that emerged to support the diverse and multitasking nature of online learning includes reporter mechanisms customizing context awareness to the course, members, and pedagogical structures.

Citation

Laffey, J., Amelung, C. & Goggins, S. (2009). A Context Awareness System for Online Learning: Design Based Research. International Journal on E-Learning, 8(3), 313-330. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE). Retrieved April 23, 2019 from .

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  2. Visualizing Behavioral Data from a 3D Virtual Learning Environment: A Preliminary Study

    Matthew Schmidt, University of Hawaii at Manoa, United States; James Laffey, University of Missouri, United States

    TCC 2012 (2012) pp. 41–55

  3. Activity Notification: Enhancing the Social Nature of Online Learning

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  4. Using Activity Theory to Examine Social Interaction of Online Learning

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These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.