A1 Journal article (refereed)
Expectations for supporting student engagement with learning analytics : an academic path perspective (2021)

Silvola, A., Näykki, P., Kaveri, A., & Muukkonen, H. (2021). Expectations for supporting student engagement with learning analytics : an academic path perspective. Computers and Education, 168, Article 104192. https://doi.org/10.1016/j.compedu.2021.104192

JYU authors or editors

Publication details

All authors or editors: Silvola, Anni; Näykki, Piia; Kaveri, Anceli; Muukkonen, Hanni

Journal or series: Computers and Education

ISSN: 0360-1315

eISSN: 1873-782X

Publication year: 2021

Volume: 168

Article number: 104192

Publisher: Elsevier

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1016/j.compedu.2021.104192

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/74974


There has been a growing interest in higher education to explore how learning analytics (LA) could be used to support student engagement. Providing actionable feedback with LA for students is an emerging area of research. Previous studies have commonly focused on course-level aspects of supporting engagement with LA, but students' perspectives have received limited attention. This study analyzed pre-service teachers’ needs and expectations for LA to support student engagement on the academic path level, which means observing the continuum of study periods and academic years. Qualitative content analysis was conducted for video-recorded student small-group conversations to analyze in-depth how pre-service teachers (N = 40) described their needs for support student engagement and expectations and ethical concerns for using LA tools. Students suggested that LA tools could support their engagement by mediating information between the student and institution, facilitating effective studying, increasing awareness about themselves as learners, providing help and support in different challenging situations, and working as a feedback channel to adapt the learning conditions according to their individual needs. The results of this study demonstrate how student needs are sometimes contradictory, for example when students suggest more possibilities for agentic choices on their studies, but similarly more institutional monitoring or their study progression. This offers insights to clarify specific objectives for supporting student engagement with LA.

Keywords: educational technology; higher education (teaching); virtual learning environments; human-computer interaction; feedback; data science

Free keywords: data science applications in education; human-computer interface; pedagogical issues

Contributing organizations

Related projects

Ministry reporting: Yes

Reporting Year: 2021

JUFO rating: 3

Last updated on 2022-20-09 at 15:16