Artificial intelligence utilization: A determinant of academic self-efficacy, engagement, and satisfaction of university students

The study determined the utilisation of artificial intelligence as a determinant of university students' academic self-efficacy, engagement, and satisfaction. The study adopted a descriptive-correlational research design guided by three research questions and hypotheses. A sample size of 631 respondents was drawn through a multi-stage sampling procedure. Four sets of instruments, titled Artificial Intelligence Utilization Questionnaire (AIUQ), Academic Self-Efficacy Questionnaire (ASEQ), Academic Engagement Questionnaire (AEQ), and Academic Satisfaction Questionnaire (ASQ), validated by experts in the field of education, were used for data collection. The study's findings showed that the undergraduates' utilisation of artificial intelligence positively correlates with their academic self-efficacy, engagement, and satisfaction. The study concluded that artificial intelligence usage boosts the students’ self-efficacy, level of academic engagement, and satisfaction with their learning. Based on these findings, it was recommended that students should be encouraged to utilise and leverage artificial intelligence tools for academic purposes appropriately but with caution against plagiarism and total dependence that could be detrimental to their critical thinking skills.

Authors

Publication Details

Journal
Environment and Social Psychology
Published
2025-03-28
DOI
https://doi.org/10.59429/esp.v10i3.3504
Citations
4
Primary Topic
Grit, Self-Efficacy, and Motivation
Type
article
Field-Weighted Citation Impact
9.75
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article

Artificial intelligence utilization: A determinant of academic self-efficacy, engagement, and satisfaction of university students

Sarfraz Aslam, Sana Javaid, Vivian Ngozi Nwogbo, Sadia Khan et al.
4 citations
Environment and Social Psychology
Grit, Self-Efficacy, and Motivation
9.75
article

Artificial intelligence utilization: A determinant of academic self-efficacy, engagement, and satisfaction of university students

Sarfraz Aslam, Sana Javaid, Vivian Ngozi Nwogbo, Sadia Khan, Abdulnaser Fakhrou, Lydia İjeoma Eleje, Elizabeth Ifeoma Anierobi, Amjad Islam Amjad, Victor Ugochukwu Agogbua, Abdulaziz Abdullah Alanazi, Huda Alshamsi
article en
4 citations

Abstract

The study determined the utilisation of artificial intelligence as a determinant of university students' academic self-efficacy, engagement, and satisfaction. The study adopted a descriptive-correlational research design guided by three research questions and hypotheses. A sample size of 631 respondents was drawn through a multi-stage sampling procedure. Four sets of instruments, titled Artificial Intelligence Utilization Questionnaire (AIUQ), Academic Self-Efficacy Questionnaire (ASEQ), Academic Engagement Questionnaire (AEQ), and Academic Satisfaction Questionnaire (ASQ), validated by experts in the field of education, were used for data collection. The study's findings showed that the undergraduates' utilisation of artificial intelligence positively correlates with their academic self-efficacy, engagement, and satisfaction. The study concluded that artificial intelligence usage boosts the students’ self-efficacy, level of academic engagement, and satisfaction with their learning. Based on these findings, it was recommended that students should be encouraged to utilise and leverage artificial intelligence tools for academic purposes appropriately but with caution against plagiarism and total dependence that could be detrimental to their critical thinking skills.

Environment and Social PsychologyVol. 10(3)
Openalex Percentile: Top 2%
Grit, Self-Efficacy, and Motivation
9.75
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