A four-country cross-case analysis of academic staff expectations about learning analytics in higher education

Kaire Kollom; Kairit  Tammets; Maren Scheffel; Yi-Shan  Tsai; Ioana Jivet; Pedro J.  Muñoz-Merino; Pedro Manuel  Moreno-Marcos; Alexander Whitelock-Wainwright; Adolfo Ruiz  Calleja; null More Authors

doi:10.1016/j.iheduc.2020.100788

A four-country cross-case analysis of academic staff expectations about learning analytics in higher education

Kaire Kollom, Kairit Tammets, Maren Scheffel, Yi-Shan Tsai, Ioana Jivet, Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, Alexander Whitelock-Wainwright, Adolfo Ruiz Calleja, More Authors

Web Information Systems

Research output: Contribution to journal › Article › Scientific › peer-review

22 Citations (Scopus)

35 Downloads (Pure)

Abstract

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.

Original language	English
Article number	100788
Pages (from-to)	1-19
Number of pages	19
Journal	Internet and Higher Education
Volume	49
DOIs	https://doi.org/10.1016/j.iheduc.2020.100788
Publication status	Published - 2021

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Academic staff
Expectations
Focus groups
Higher education
Learning analytics
Questionnaire

Access to Document

10.1016/j.iheduc.2020.100788

1_s2.0_S1096751620300646_mainFinal published version, 3.24 MB

Cite this

Kollom, K., Tammets, K., Scheffel, M., Tsai, Y.-S., Jivet, I., Muñoz-Merino, P. J., Moreno-Marcos, P. M., Whitelock-Wainwright, A., Calleja, A. R., & More Authors (2021). A four-country cross-case analysis of academic staff expectations about learning analytics in higher education. Internet and Higher Education, 49, 1-19. Article 100788. https://doi.org/10.1016/j.iheduc.2020.100788

@article{253492095ecd4b8a8e9a4e430cbd4988,

title = "A four-country cross-case analysis of academic staff expectations about learning analytics in higher education",

abstract = "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.",

keywords = "Academic staff, Expectations, Focus groups, Higher education, Learning analytics, Questionnaire",

author = "Kaire Kollom and Kairit Tammets and Maren Scheffel and Yi-Shan Tsai and Ioana Jivet and Mu{\~n}oz-Merino, {Pedro J.} and Moreno-Marcos, {Pedro Manuel} and Alexander Whitelock-Wainwright and Calleja, {Adolfo Ruiz} and {More Authors}",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ",

year = "2021",

doi = "10.1016/j.iheduc.2020.100788",

language = "English",

volume = "49",

pages = "1--19",

journal = "Internet and Higher Education",

issn = "1096-7516",

publisher = "Elsevier",

}

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 - More Authors, null

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2021

Y1 - 2021

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

SP - 1

EP - 19

JO - Internet and Higher Education

JF - Internet and Higher Education

M1 - 100788

ER -

A four-country cross-case analysis of academic staff expectations about learning analytics in higher education

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this