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Author: Tuija Alasalmi

Affiliation: School of Vocational Teacher Education, Haaga-Helia University of Applied Sciences, Pajuniityntie 11, Helsinki, Finland

Keyword(s): Learning Analytics, Self-regulation, Expectations, Online Learning Platform.

Abstract: The article presents results of a survey and interviews mapping students’ expectations and needs on learning analytics. The discussion focuses on the functionalities and features which were considered to support self-regulated learning in Moodle learning environment. The aim of the discussion is to identify how the reported student needs could be met by utilizing descriptive, prescriptive or predictive learning analytics. It was discovered that students need and expect certain functions in the digital learning environment to support self-regulated learning. The survey results indicate that students mainly demand for tools which could help them in planning and scheduling their studies. Secondly, to be able to monitor and regulate their performance, they need progression tracking tools as well as timely and constructive feedback. Features of descriptive analytics were considered the most useful for self-regulation, while the expected benefits of prescriptive and predictive analytics we re more controversial and tentative. (More)

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Paper citation in several formats:
Alasalmi, T. (2021). Students Expectations on Learning Analytics: Learning Platform Features Supporting Self-regulated Learning. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-502-9; ISSN 2184-5026, SciTePress, pages 131-140. DOI: 10.5220/0010537101310140

@conference{csedu21,
author={Tuija Alasalmi.},
title={Students Expectations on Learning Analytics: Learning Platform Features Supporting Self-regulated Learning},
booktitle={Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2021},
pages={131-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010537101310140},
isbn={978-989-758-502-9},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - Students Expectations on Learning Analytics: Learning Platform Features Supporting Self-regulated Learning
SN - 978-989-758-502-9
IS - 2184-5026
AU - Alasalmi, T.
PY - 2021
SP - 131
EP - 140
DO - 10.5220/0010537101310140
PB - SciTePress

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