The Influence of AI-Powered Learning Tools on Academic Student Performance in Higher Education

Abstract

Academic learning has been transformed since the integration of Artificial Intelligence (AI) in education, offering opportunities for students’ development. This study aims to examine the effect of AI-powered tools on academic performance, conducted among students at the Faculty of Education at Ajilat city. Also, the analysis explores the potential benefits and challenges of AI technology in education. Data were collected using Google Forms via a 39-item questionnaire, as follows: 20 questions assessing AI-powered tools and 19 questions measuring academic student performance. The total number of respondents was 175 male and female students. The data analysis was conducted using the SPSS program and Smart Pls software. Quantitative data were analyzed using frequency and percentage (demographic variables) calculations by SPSS. The percentage of males was 16 (9.1%), and the percentage of females was 159 (90.9%). Descriptive analysis for academic performance and AI-powered tools showed that both of them had a positive effect on their studies, represented respectively as (3.53) and (3.67). Quantitative responses were subjected to thematic analysis using smart pls (SEM). This allows us to analyze both direct effects and test if relationships are linear or nonlinear (between the dependent variable and independent variable); there was a significant, large positive relationship between them, R2 (50%) and Beta (0.709). Also, evaluate the relationship's strength and significance through indicators like outer loadings, path coefficients, and Average Variance Extracted (AVE), as explained by CA (0.945) and (0.972) and AVE (0.567) and (0.683).