A Design Theory for Vigilant Online Learning Systems

Author:

Wright M. Keith1

Affiliation:

1. University of Houston, USA

Abstract

There is now a preponderance of evidence suggesting that the types of online course management software (OCMS) used in purely online undergraduate college courses, do not meet the needs of younger immature students. These students often lack the learning skills necessary to succeed in such courses, nor do the popular OCMS include the vigilance mechanisms to guide such students to successful course completion in the absence of face-to-face human instruction. This paper explores the literature relevant to design theory, learning theory, decision support, and vigilance, to extend information systems design theory to a design theory of vigilant online learning systems. It is hoped that this research note will help guide software developers and academics studying how to design future online learning systems for the immature student.

Publisher

IGI Global

Reference66 articles.

1. Ahmad, A., & Lajoie, S. (2001). The integrated learning model: A design experiment in web-based instruction. Paper presented at the Artificial Intelligence in Education: Advanced Models for Learning for the Wired and Wireless Future, Amsterdam.

2. Computer-Mediated Collaborative Learning: An Empirical Evaluation

3. Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues

4. Allen, E., & Seaman, J. (2013). Changing Course: Ten Years of Tracking Online Education in the United States, Sloan Consortium. Retrieved June 24, 2014 from http://sloanconsortium.org/publications/survey/changing_course_2012, AACSB (2010). AACSB member schools are increasing online program offerings. In eNewsline: Management education news from AACSB. Tampa: AACSB International. Retrieved 7/28/14 from http://enewsline.aacsb.edu/archives/2010/vol9-issue3-datadirect.pdf

5. Beck, R. J. (2009). What Are Learning Objects? Center for International Education, University of Wisconsin-Milwaukee, retrieved 7/25/2014 from http://www4.uwm.edu/cie/learning_objects.cfm?gid=56-10-23

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