Artificial Intelligence Tool Usage and Academic Performance Among Students: A Secondary Data Analysis
Year: 2026
Type: article
Abstract: There is a growing use of the artificial intelligence (AI) tools in education known to assist in research, writing, studying, and other academic activities. With increased use, there has been an interest in whether the use of AI tools is related to academic performance. This paper has focused on the correlation between the use of AI tools and academic performance in students using secondary data. Particularly, it outlined the chosen signs of AI tool utilization and established whether there were strong differences and relationships between AI-related variables and grade-based performance. The design of the study was the descriptive-correlational design with a secondary dataset with 100 student observations provided by Kaggle. Variables were the AI usage status, study hours per day, AI used, AI usage intention, pre- usage grades, and post-usage grades. They were descriptive statistics, Spearman rank correlation, Wilcoxon signed-rank test and Mann-Whitney U test. The results demonstrated that AI tools were used by students daily on average of 2.99 hours. Mean grades went up by 64.77 to 68.70 in the pre-AI application and post-AI application respectively, a difference in means of 3.93. Great variances were observed in grades measured before and after the use of AI as well as between AI users and non-users. Nevertheless, the number of hours of study per day was weakly and nonsignificantly related to post-AI grades.
Source: NexusTech
Authors: Bisaya, Althea, Balaba, Efren
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7220119946