The Extent of Artificial Intelligence Contribution to Determining Students Learning Behavior among Generation Z

DOI

10.2991/978-94-6239-711-8_10How to use a DOI?

Keywords

Artificial Intelligence; Generation Z; Student Learning behavior

Abstract

This study aimed to examine the impact of artificial intelligence usage on students learning behavior by analyzing four main dimensions: information search and data collection, academic understanding and analysis, academic writing and editing, and summarization and knowledge organization. The study adopted a quantitative approach using multiple linear regression analysis to determine the extent to which these dimensions explain variations in students’ learning style. The findings indicated that the dimensions of artificial intelligence use contribute differently to students’ learning style, with academic writing and editing emerging as the only dimension showing a positive and statistically significant effect.

Copyright

© 2026 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.

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TY  - CONF
AU  - Mohammedi Maouaheb
AU  - Biadhi Safa
PY  - 2026
DA  - 2026/06/24
TI  - The Extent of Artificial Intelligence Contribution to Determining Students Learning Behavior among Generation Z
BT  - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
PB  - Atlantis Press
SP  - 90
EP  - 98
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-711-8_10
DO  - 10.2991/978-94-6239-711-8_10
ID  - Maouaheb2026
ER  -