Learning about Learners: System Learning in Virtual Learning Environment

  • Zhengxin Chen University of Nebraska at Omaha Department of Computer Science Omaha, NE 68182-0500, USA

Abstract

Virtual learning is not just about a set of useful IT tools for learning. From an examination on where virtual learning stands in the overall learning spectrum, we point out the important impact of natural computing on virtual learning. We survey and analyze selected literature on important role of natural computing aspects, such as emergence (using swarm intelligence to achieve collective intelligence) and emotion, to virtual learning. In addition, in order to effectively incorporate these aspects into virtual learning, we propose using infrastructural support for virtual learning through system learning: The virtual learning environment not only provides facilities for learners, but also observes the behavior of learners and takes actions, so that its own performance can be improved (i.e., to better serve the learners). In this sense, system learning is concerned with learning about learners. Consequently, a virtual learning environment is a true human-machine symbiosis, paired by human learning and system learning.

References

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Published
2008-03-01
How to Cite
CHEN, Zhengxin. Learning about Learners: System Learning in Virtual Learning Environment. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 3, n. 1, p. 33-40, mar. 2008. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2372>. Date accessed: 05 dec. 2021.

Keywords

Natural computing, collective intelligence, emergence, emotion, system learning, virtual learning architecture