About the Quality of a Course Recommender System as Perceived by Students

Kerstin Wagner, Agathe Merceron, Petra Sauer, Niels Pinkwart

2024

Abstract

In this work, we present a survey of a course recommender conducted among students and its results. The course recommender system, published in our previours work (Wagner et al., 2023), is based on the nearest neighbors algorithm and aims to support students in their course enrollment; it targets above all students who did not pass all mandatory courses as indicated in the study handbook in their first or second semester at university. The primary objective of the survey was to evaluate the perceived quality of explanations and recommendations based on two presentation variants (a ranked list of courses and a set of courses), as well as the general trust in such systems. The survey included quantitative measures and demographic information from the students, so that different subgroups could be evaluated. The results indicate that students tend to trust recommender systems and that they tend to understand the explanations. No clear winner emerges between the presentation of the courses as a set and as a ranked list. The survey data explorations are available at: https://kwbln.github.io/csedu24.

Paper Citation

in Harvard Style

Wagner K., Merceron A., Sauer P. and Pinkwart N. (2024). About the Quality of a Course Recommender System as Perceived by Students. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-697-2, SciTePress, pages 238-246. DOI: 10.5220/0012634900003693

in Bibtex Style

@conference{csedu24,
author={Kerstin Wagner and Agathe Merceron and Petra Sauer and Niels Pinkwart},
title={About the Quality of a Course Recommender System as Perceived by Students},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2024},
pages={238-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012634900003693},
isbn={978-989-758-697-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - About the Quality of a Course Recommender System as Perceived by Students
SN - 978-989-758-697-2
AU - Wagner K.
AU - Merceron A.
AU - Sauer P.
AU - Pinkwart N.
PY - 2024
SP - 238
EP - 246
DO - 10.5220/0012634900003693
PB - SciTePress