Adopting Learning Analytics To Inform Postgraduate Curriculum Design

Dennehy, Denis; Conboy, Kieran; Babu, Jaganath; Schneider, Johannes; Handali, Joshua; vom Brocke, Jan; Hoffmeister, Benedikt; Stein, Armin


Abstract

Understanding students’ sentiment is valuable to understanding the changes that could or should be made in curriculum design at third level. Learning analytics has shown potential for improving student learning experiences and supporting teacher inquiry. Yet, there is limited research that reports on the adoption and actual use of learning analytics to support teacher inquiry. This study captures sentiment of postgraduate students by integrating learning analytics with the steps of teacher inquiry. This study makes two important contributions to teaching and learning literature. First, it reports on the use of learning analytics to support teacher inquiry over three iterations of a business analytics programme between 2016 and 2019. Second, evidence-based recommendations on how to optimise learning analytics to support teacher inquiry are provided.

Keywords
Learning analytics; Sentiment analysis; Curriculum design



Publication type
Forschungsartikel in Sammelband (Konferenz)

Peer reviewed
Yes

Publication status
Published

Year
2020

Conference
IFIP WG8.6

Venue
Indian Institute of Management Tiruchirappalli, India

Book title
Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. TDIT 2020

Editor
Sharma, S.K; Dwivedi, Y.K.; Metri, B.; Rana, N.P.

Start page
218

End page
230

Volume
617

Title of series
IFIP Advances in Information and Communication Technology

Publisher
Springer

Place
Cham

Language
English

ISBN
978-3-030-64849-7

DOI