Liu, Shuangyan (2012) Intelligent support for group work in collaborative learning environments. PhD thesis, University of Warwick.

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Abstract

The delivery of intelligent support for group work is a complex issue in
collaborative learning environments. This particularly pertains to the construction
of effective groups and assessment of collaboration problems. This is because the
composition of groups can be affected by several variables, and various methods
are desirable for ascertaining the existence of different collaboration problems.
Literature has shown that current collaborative learning environments provide
limited or no support for teachers to cope with these tasks. Considering this and the
increasing use of online collaboration, this research aims to explore solutions for
improving the delivery of support for group work in collaborative learning
environments, and thus to simplify how teachers manage collaborative group work.
In this thesis, three aspects were investigated to achieve this goal. The first
aspect emphasises on proposing a novel approach for group formation based on
students‘ learning styles. The novelty and importance of this approach is the
provision of an automatic grouping method that can tailor to individual students‘
characteristics and fit well into the existing collaborative learning environments.
The evaluation activities comprise the development of an add-on tool and an
undergraduate student experiment, which indicate the feasibility and strength of the
proposed approach — being capable of forming diverse groups that tend to perform
more effectively and efficiently than similar groups for conducting group
discussion tasks.
The second focus of this research relates to the identification of major
group collaboration problems and their causes. A nationwide survey was conducted
that reveals a student perspective on the issue, which current literature fails to
adequately address. Based on the findings from the survey, an XML-based
representation was created that provides a unique perspective on the linkages
between the problems and causes identified.
Finally, the focus was then shifted to the proposal of a novel approach for
diagnosing the major collaboration problems identified. The originality and
significance of this approach lies in the provision of various methods for ascertaining the existence of different collaboration problems identified, based on
student interaction data that result from the group work examined. The evaluation
procedure focused on the development of a supporting tool and several
experiments with a test dataset. The results of the evaluation show that the
feasibility and effectiveness are sustained, to a great extent, for the diagnostic
methods addressed.
Besides these main proposals, this research has explored a multi-agent
architecture to unify all the components derived for intelligently managing online
collaborative learning, which suggests an overarching framework providing
context for other parts of this thesis.

Item Type:	Thesis or Dissertation (PhD)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Library of Congress Subject Headings (LCSH):	Computer-assisted instruction, Internet in education
Official Date:	March 2012
Dates:	Date Event March 2012 Submitted
Institution:	University of Warwick
Theses Department:	Department of Computer Science
Thesis Type:	PhD
Publication Status:	Unpublished
Supervisor(s)/Advisor:	Joy, Mike ; Griffiths, Nathan
Extent:	xiv, 262 leaves : ill., charts
Language:	eng
URI:	http://wrap.warwick.ac.uk/id/eprint/46815

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