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Chapter 11 - Quality Assurance and Enhancement

An Application of Digitalised Data

from Part II - Changes in Teaching Formats

Published online by Cambridge University Press:  09 June 2022

By
Julia Chen ,
Linda Lin ,
Dennis Foung  and
Caroline Nixon
Edited by
Andreas Kaplan
Andreas Kaplan
Affiliation:
ESCP Business School Berlin
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Summary

Quality assurance and enhancement exercises are important in higher education. Curriculum assurance and enhancement exercise, relied in the past primarily on raw assessment data and self-reported, which lacked follow-up mechanisms gauging its effectiveness. This paper reports on an impact study of a curriculum review exercise using both digitalised data and self-reported data. Both the original review and its impact study were conducted on an English Programme in a Hong Kong university taken by around 6,000 students each year. Both adopted a learning analytics approach with digitalised behavioural and assessment data. Results of the impact study, which is the focus of this paper, demonstrate the strength of using learning analytics, including its capability of inter-course and intra-course investigations. Learning analytics can also empirically confirm and/or refute concerns reported by teachers and students. The use of digitalised data for learning analytics offers opportunities to implement and follow-up on quality assurance measures.

Keywords

Big Datablended learningcurriculum reviewEnglish for academic purposesimpact studylearning analyticsonline learningtracer study
Type
Chapter
Information
Digital Transformation and Disruption of Higher Education , pp. 130 - 144
Publisher: Cambridge University Press
Print publication year: 2022

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