Design of an adaptive learner directed model for e-learning

Stella Lee, Vivek Kumar, Trevor Barker

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

Abstract

This paper examines how and to what extent an adaptive system can aid learners to be effectively self-directed and self-regulated for online studies both at domain knowledge level and meta knowledge level in the subject of computer science. We will provide an overview of two learning theories - self-regulated learning theory (SRL) and experiential learning theory (ELT), - and show how these theories act as an interlaced framework underpinning the adaptive model. In addition, this paper outlines the initial design for the model.

Original languageEnglish
Title of host publicationProceedings of the 27th Annual Conference of the Australasian Society for Computers in Learning in Tertiary Education, ASCILITE 2010
Pages539-541
Number of pages3
Publication statusPublished - 2010
Event27th Annual Conference of the Australasian Society for Computers in Learning in Tertiary Education, ASCILITE 2010 - Sydney, NSW, Australia
Duration: 5 Dec. 20108 Dec. 2010

Publication series

NameASCILITE 2010 - The Australasian Society for Computers in Learning in Tertiary Education

Conference

Conference27th Annual Conference of the Australasian Society for Computers in Learning in Tertiary Education, ASCILITE 2010
Country/TerritoryAustralia
CitySydney, NSW
Period5/12/108/12/10

Keywords

  • Adaptive system
  • Experiential learning
  • Self-directed learning
  • Self-regulated learning

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