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A Student-oriented Tool to Support Course Selection in Academic Counseling Sessions

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Abstract

Course selection and recommendation are important aspects of any academic counseling system. The Learning Analytics community has long supported these activities via automatic, data-based tools for recommendation and prediction. We contribute to this body of research with a tool that allows students to select multiple courses and predict their academic performance based on historical academic data. The tool is intended to be used prior to counseling sessions in which students plan their upcoming semester at the Ecuadorian university ESPOL. This paper presents the tool's design and implementation and discusses its potential to improve the student-counselor discourse.
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Dates and versions

hal-03084671 , version 1 (21-12-2020)

Identifiers

  • HAL Id : hal-03084671 , version 1

Cite

Jaime Castells, Poul-Doust Mohammad, Luis Galárraga, Gonzalo Méndez, Margarita Ortiz-Rojas, et al.. A Student-oriented Tool to Support Course Selection in Academic Counseling Sessions. LAUR 2020 - Workshop on Adoption, Adaptation and Pilots of Learning Analytics in Under-represented Regions co-located with the 15th European Conference on Technology Enhanced Learning 2020, Sep 2020, Virtual Event, Germany. pp.1-10. ⟨hal-03084671⟩
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