Student agency analytics: learning analytics as a tool for analysing student agency in higher education

This paper presents a novel approach and a method of learning analytics to study student agency in higher education. Agency is a concept that holistically depicts important constituents of intentional, purposeful, and meaningful learning. Within workplace learning research, agency is seen at the cor...

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Bibliographic Details
Published inBehaviour & information technology Vol. 40; no. 8; pp. 790 - 808
Main Authors Jääskelä, Päivikki, Heilala, Ville, Kärkkäinen, Tommi, Häkkinen, Päivi
Format Journal Article
LanguageEnglish
Published London Taylor & Francis 11.06.2021
Taylor & Francis Ltd
Subjects
Colleges & universities
Data analysis
Education
Empirical analysis
Higher education
Learning
learning analytics
Mathematical analysis
robust statistics
Student agency
Students
Teachers
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Summary:This paper presents a novel approach and a method of learning analytics to study student agency in higher education. Agency is a concept that holistically depicts important constituents of intentional, purposeful, and meaningful learning. Within workplace learning research, agency is seen at the core of expertise. However, in the higher education field, agency is an empirically less studied phenomenon with also lacking coherent conceptual base. Furthermore, tools for students and teachers need to be developed to support learners in their agency construction. We study student agency as a multidimensional phenomenon centring on student-experienced resources of their agency. We call the analytics process developed here student agency analytics, referring to the application of learning analytics methods for data on student agency collected using a validated instrument. The data are analysed with unsupervised and supervised methods. The whole analytics process will be automated using microservice architecture. We provide empirical characterisations of student-perceived agency resources by applying the analytics process in two university courses. Finally, we discuss the possibilities of using agency analytics in supporting students to recognise their resources for agentic learning and consider contributions of agency analytics to improve academic advising and teachers' pedagogical knowledge.
ISSN:0144-929X
1362-3001
DOI:10.1080/0144929X.2020.1725130