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

Mohammedi Maouaheb () and Biadhi Safa ()
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Mohammedi Maouaheb: University of Mohamed Khider Biskra
Biadhi Safa: University of Mohamed Khider Biskra

A chapter in Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026), 2026, pp 90-98 from Springer

Abstract: 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.

Keywords: Artificial Intelligence; Generation Z; Student Learning behavior (search for similar items in EconPapers)
Date: 2026
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DOI: 10.2991/978-94-6239-711-8_10

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