What Indicators Can I Serve You with? An Evaluation of a Research-Driven Learning Analytics Indicator Repository.

Atezaz Ahmad, Jan Schneider, Joshua Weidlich, Daniele Di Mitri, Jane Yin-Kim Yau, Daniel Schiffner, Hendrik Drachsler

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review

Abstract

In recent years, Learning Analytics (LA) has become a very heterogeneous research field due to the diversity in the data generated by the Learning Management Systems (LMS) as well as the researchers in a variety of disciplines, who analyze this data from a range of perspectives. In this paper, we present the evaluation of a LA tool that helps course designers, teachers, students and educational researchers to make informed decisions about the selection of learning activities and LA indicators for their course design or LA dashboard. The aim of this paper is to present Open Learning Analytics Indicator Repository (OpenLAIR) and provide a first evaluation with key stakeholders (N=41). Moreover, it presents the results of the prevalence of indicators that have been used over the past ten years in LA. Our results show that OpenLAIR can support course designers in designing LA-based learning activities and courses. Furthermore, we found a significant difference between the relevance and u (More)
Original languageEnglish
Title of host publication Proceedings of the 14th International Conference on Computer Supported Education
EditorsMutlu Cukurova, Nikol Rummel, Denis Gillet, Bruce M. McLaren, James Uhomoibhi
PublisherSciTePress
Pages58-68
Number of pages12
Volume1
ISBN (Print)978-989-758-562-3
DOIs
Publication statusPublished - Apr 2022
Event14th International Conference on Computer Supported Education - Online, Unknown
Duration: 22 Apr 202224 Apr 2022
Conference number: 14

Conference

Conference14th International Conference on Computer Supported Education
Abbreviated titleCSEDU2022
Country/TerritoryUnknown
Period22/04/2224/04/22

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