Utilizing Data Analytics to Explore the Influence of Vocational Interests, Personality Traits, and Digital Literacy on Academic Performance

DOI

10.2991/978-94-6463-626-0_22How to use a DOI?

Keywords

Academic Performance; Conscientiousness; Digital Literacy; Personality Traits; Vocational Interests

Abstract

This study examines the relationship between vocational interests, personality traits, and digital literacy skills, and their impact on academic performance in technology-related fields. Data were collected from 500 undergraduate students using the O*NET Interest Profiler for vocational interests, the Big Five Inventory for personality traits, and a digital literacy test adapted from the International Computer and Information Literacy Study (ICILS). Academic performance was measured through cumulative Grade Point Average (GPA). Using multiple regression analysis, the study identifies conscientiousness and digital literacy as significant predictors of academic success, with positive correlations (p < 0.01) to GPA. Investigative vocational interests also showed a positive, though smaller, impact on performance. The results suggest that conscientious students, who exhibit goal-oriented behaviors and persistence, achieve higher academic outcomes. Additionally, students with higher digital literacy scores excel in coursework requiring effective use of technology and critical digital skills. These findings highlight the need for educational programs to emphasize digital literacy training and align instructional approaches with students’ vocational interests and personality profiles to optimize engagement and performance. This study adds to the literature on non-cognitive factors in education and provides valuable insights for educators and policymakers aiming to support academic achievement in digitally mediated learning environments.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Yeni Anistyasari
AU  - Ekohariadi Ekohariadi
AU  - Subuh Isnur Haryudo
AU  - Shintami C. Hidayati
PY  - 2024
DA  - 2024/12/31
TI  - Utilizing Data Analytics to Explore the Influence of Vocational Interests, Personality Traits, and Digital Literacy on Academic Performance
BT  - Proceedings of the International Joint Conference on Science and Engineering 2024 (IJCSE 2024)
PB  - Atlantis Press
SP  - 210
EP  - 217
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-626-0_22
DO  - 10.2991/978-94-6463-626-0_22
ID  - Anistyasari2024
ER  -