Generative AI Use and Academic Engagement among University Students in Algeria
Article Sidebar
Main Article Content
Abstract
The use of generative artificial intelligence (AI) is becoming more prevalent in the context of university learning, but its connection to students' engagement in learning is still not fully understood. This research aimed to explore the relationship between the academic use of generative AI and academic engagement among university students in Algeria. The study adopted a quantitative cross sectional survey design based on Student Engagement Theory and Technology Acceptance Model. A total of 217 students from public and private universities were used to collect data. Academic use of generative AI and academic engagement were measured using a structured questionnaire with multi-item scales. Data was analysed with descriptive statistics, Pearson correlation and regression analysis in SPSS. The mean scores for academic use of generative AI (M = 3.76, SD = 0.67) and academic engagement (M = 3.64, SD = 0.71) were high. Academic engagement was highly correlated with academic use of generative AI (r = .491, p < .001). Simple linear regression revealed that AI use was a significant predictor of engagement, accounting for 24.1% of the variance in engagement (β = .491, p < .001). Academic AI use was the strongest predictor regardless of demographic characteristics, frequency of AI use, or prior AI experience (β = .432, p < .001), accounting for 34.5% of variance. The results indicate that generative AI can be a learning aid and not a replacement to independent learning to support engagement. AI literacy, critical evaluation and responsible use should be encouraged at universities. Causality cannot be inferred from the data as they were cross-sectional and self-reported.
Downloads
Article Details
Section
This work is licensed under a Creative Commons Attribution 4.0 International License.
The International Journal of Social Sciences (IJSS) adopts the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licence allows for the free distribution and modification of published work, provided that the original author and source are appropriately acknowledged. The CC BY 4.0 licence is intended to encourage the wide circulation of scholarly work while safeguarding authors’ rights.
Author rights
Under the CC BY 4.0 licence, authors retain broad rights to their work, including but not limited to the following:
Ownership of copyright: Authors retain copyright ownership of their work, allowing them to deposit it in institutional repositories, share it as they consider appropriate, and publish it elsewhere, provided that the original publication in the International Journal of Social Sciences (IJSS) is properly cited.
Use and distribution: Authors may use and distribute their own work without limitation for educational and scholarly purposes, as long as proper citation of the original publication is provided.
Adaptation and derivatives: Authors may adapt, modify, or create derivative works from their original publication, provided that the original work is correctly cited and that any changes do not misrepresent the original content.
User rights
In line with the CC BY 4.0 licence, users (including readers, scholars, and researchers) are granted the following rights:
Access and distribution: Users may read, download, copy, distribute, print, search, or link to the full texts of articles published in IJSS without seeking prior permission from either the publisher or the author, provided that the original work and authorship are properly acknowledged.
Creation of derivative works: Users may adapt or create derivative works based on articles published in IJSS, provided that appropriate attribution is given and that the derivative work is distributed under the same CC BY 4.0 licence.
Responsibilities and restrictions
Attribution: Users must give appropriate credit to the original author(s) and the International Journal of Social Sciences (IJSS), include a link to the original work, and clearly indicate whether any changes have been made.
No additional restrictions: Users may not apply legal terms or technological measures that restrict others from exercising the rights permitted by the licence.
Commercial use: The CC BY 4.0 licence allows for commercial use of published works, provided that proper attribution to the original author(s) and source is maintained.