The Open UniversitySkip to content
 

An exploratory study on group formation based on learning styles

Liu, Shuangyan; Joy, Mike and Griffiths, Nathan (2013). An exploratory study on group formation based on learning styles. In: Proceedings, 2013 IEEE 13th International Conference on Advanced Learning Technologies ICALT 2013, pp. 95–99.

DOI (Digital Object Identifier) Link: https://doi.org/10.1109/ICALT.2013.32
Google Scholar: Look up in Google Scholar

Abstract

Recent work has highlighted how consideration of learning styles in the process of group formation for collaborative learning can have a positive impact. This paper investigates the performance of similar learning style groups and diverse learning style groups in group work, and explores how a grouping algorithm based on students' learning styles affects students' learning achievements and processes. An empirical study with current undergraduate students in the UK has been conducted. The participating students were invited to accomplish two group discussion tasks. Each student performed the two activities, in a separate group each time, once in a group consisting of students with similar learning styles, once in a group with diverse learning styles. No volunteer shared both groups with any individual student. This paper focuses on analysing the learning achievements and collaboration processes for the two types of groups, particularly with respect to the quality of group interactions. A significant difference was found between the percentages of time spent on meaningful interactions by the two types of groups, revealing that diverse learning style groups tend to spend significantly more time on meaningful interactions than similar learning style groups. In addition, the diverse learning style groups had demonstrated significantly less negative social-emotional reactions in showing disagreements.

Item Type: Conference or Workshop Item
Copyright Holders: 2013 IEEE
ISBN: 0-7695-5009-6, 978-0-7695-5009-1
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 42137
Depositing User: Shuangyan Liu
Date Deposited: 10 Mar 2015 16:50
Last Modified: 04 Oct 2016 11:42
URI: http://oro.open.ac.uk/id/eprint/42137
Share this page:

Altmetrics

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk