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Authors: Linda Mai ; Alina Köchling and Marius Wehner

Affiliation: Heine-Universität Düsseldorf, Germany

Keyword(s): Learning Analytics, Recommendation, Experimental Design, Adaptive Choice-based Experiment.

Abstract: Learning Analytics (LA) systems are becoming a new source of advice for instructors. Using LA provides new insights on learning behaviours and occurring problems about learners. Educational platforms collect a wide range of data while learners use them, for example, time spent on the platform, exams taken, and completed tasks, and provide recommendations in terms of predicted learning success based on LA. In turn, LA might increase efficiency and objectivity in the grading process. In this paper, we examine how instructors react to the platform’s automatic recommendations and to which extent they consider them when judging learners. Drawing on an adaptive choice-based experimental research design and a sample of 372 instructors, we analyse whether and to what degree instructors are influenced by the recommendations of an unknown LA system. We also describe which consequences an automatic judgment might have for both learners and instructors and the impact of using platforms in school s and universities. Practical implications are discussed. (More)

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Paper citation in several formats:
Mai, L.; Köchling, A. and Wehner, M. (2021). ‘This Student Needs to Stay Back’: To What Degree Would Instructors Rely on the Recommendation of Learning Analytics?. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-502-9; ISSN 2184-5026, SciTePress, pages 189-197. DOI: 10.5220/0010449401890197

@conference{csedu21,
author={Linda Mai. and Alina Köchling. and Marius Wehner.},
title={‘This Student Needs to Stay Back’: To What Degree Would Instructors Rely on the Recommendation of Learning Analytics?},
booktitle={Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2021},
pages={189-197},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010449401890197},
isbn={978-989-758-502-9},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - ‘This Student Needs to Stay Back’: To What Degree Would Instructors Rely on the Recommendation of Learning Analytics?
SN - 978-989-758-502-9
IS - 2184-5026
AU - Mai, L.
AU - Köchling, A.
AU - Wehner, M.
PY - 2021
SP - 189
EP - 197
DO - 10.5220/0010449401890197
PB - SciTePress

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