TY - JOUR
T1 - A four-country cross-case analysis of academic staff expectations about learning analytics in higher education
AU - Kollom, Kaire
AU - Tammets, Kairit
AU - Scheffel, Maren
AU - Tsai, Yi-Shan
AU - Jivet, Ioana
AU - Muñoz-Merino, Pedro J.
AU - Moreno-Marcos, Pedro Manuel
AU - Whitelock-Wainwright, Alexander
AU - Calleja, Adolfo Ruiz
AU - Gasevic, Dragan
AU - Kloos, Carlos Delgado
AU - Drachsler, Hendrik
AU - Ley, Tobias
PY - 2021/4
Y1 - 2021/4
N2 - The purpose of this paper is to explore the expectations of academic staff to learning analytics services from an ideal as well as a realistic perspective. This mixed-method study focused on a cross-case analysis of staff from Higher Education Institutions from four European universities (Spain, Estonia, Netherlands, UK). While there are some differences between the countries as well as between ideal and predicted expectations, the overarching results indicate that academic staff sees learning analytics as a tool to understand the learning activities and possibility to provide feedback for the students and adapt the curriculum to meet learners' needs. However, one of the findings from the study across cases is the generally consistently low expectation and desire for academic staff to be obligated to act based on data that shows students being at risk of failing or under-performing.
AB - The purpose of this paper is to explore the expectations of academic staff to learning analytics services from an ideal as well as a realistic perspective. This mixed-method study focused on a cross-case analysis of staff from Higher Education Institutions from four European universities (Spain, Estonia, Netherlands, UK). While there are some differences between the countries as well as between ideal and predicted expectations, the overarching results indicate that academic staff sees learning analytics as a tool to understand the learning activities and possibility to provide feedback for the students and adapt the curriculum to meet learners' needs. However, one of the findings from the study across cases is the generally consistently low expectation and desire for academic staff to be obligated to act based on data that shows students being at risk of failing or under-performing.
KW - Academic staff
KW - Expectations
KW - Focus groups
KW - Higher education
KW - Learning analytics
KW - Questionnaire
UR - http://www.scopus.com/inward/record.url?scp=85098473878&partnerID=8YFLogxK
U2 - 10.1016/j.iheduc.2020.100788
DO - 10.1016/j.iheduc.2020.100788
M3 - Article
AN - SCOPUS:85098473878
SN - 1096-7516
VL - 49
JO - Internet and Higher Education
JF - Internet and Higher Education
M1 - 100788
ER -