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


Zusammenfassung

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.

Schlüsselwörter
Learning analytics; Sentiment analysis; Curriculum design



Publikationstyp
Forschungsartikel in Sammelband (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2020

Konferenz
IFIP WG8.6

Konferenzort
Indian Institute of Management Tiruchirappalli, India

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

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

Erste Seite
218

Letzte Seite
230

Band
617

Reihe
IFIP Advances in Information and Communication Technology

Verlag
Springer

Ort
Cham

Sprache
Englisch

ISBN
978-3-030-64849-7

DOI