Paper Info
Title
Student Agency Analytics: Learning Analytics As A Tool For Analysing Student Agency In Higher Education
Abstract
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.
Year
DOI
Venue
2021
10.1080/0144929X.2020.1725130
BEHAVIOUR & INFORMATION TECHNOLOGY
Keywords
DocType
Volume
Student agency, learning analytics, robust statistics
Journal
40
Issue
ISSN
Citations 
8
0144-929X
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Päivikki Jääskelä110.69
Ville Heilala200.34
Tommi Karkkainen3405.65
Päivi Häkkinen425522.81