Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

4-2025

Abstract

The transition period from pre-tertiary to higher education levels is critical. We explore the role of resilience by conducting a survey to investigate students’ resilience and the relationship with overall academic performance, learning experience, and well-being. This effort is part of an initiative to develop strategies for better student engagement in the academic program, enhance their resilience, and prepare them for a competitive job market. We conclude that (i) high-resilience students are associated with better life satisfaction and are likely to perform well academically, (ii) a favorable learning environment supports students to study and perform well in the university, and (iii) academic program experience can contribute to students’ resilience. Additionally, we demonstrate that a grade prediction model, developed using students’ historical performance, resilience strength, learning experiences, and well-being, can accurately forecast their overall academic performance, with an average prediction error as low as one letter grade difference from the actual grades.

Keywords

Resilience, Learning Experience, Academic Performance, User Study, Prediction Model

Discipline

Computer Sciences | Higher Education

Research Areas

Data Science and Engineering

Publication

Proceedings of the 17th International Conference on Computer Supported Education, CSEDU 2025: Porto, April 1-3

Volume

2

First Page

208

Last Page

215

ISBN

9789897587467

Identifier

10.5220/0013197500003932

Publisher

Science and Technology Publications

City or Country

Portugal

Additional URL

https://doi.org/10.5220/0013197500003932

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