The mediating role of students' engagement and satisfaction in the relationship between AI-based educational tools, flexible learning techniques, and the performance of students on academic probation | ||
| المجلة العلمية للدراسات والبحوث المالية والتجارية | ||
| Volume 6, Issue 2 - Serial Number 1, July 2025, Pages 895-932 PDF (1.17 M) | ||
| Document Type: المقالة الأصلية | ||
| DOI: 10.21608/cfdj.2025.390585.2286 | ||
| Author | ||
| Nabil Ahmed El-Sakka* | ||
| Canadian International College (CIC), Egypt | ||
| Abstract | ||
| This study investigates the influence of Artificial Intelligence-based (AI-based) educational tools and flexible learning techniques on the academic performance of students on academic probation, emphasizing the mediating roles of students’ satisfaction and engagement. Conducted at the Canadian International College (CIC) in Egypt, the study targeted 240 probationary students using a census approach. A mixed-methods design was employed, incorporating surveys, academic records, and interviews. Structural Equation Modeling (SEM) revealed that AI tools and flexible techniques significantly enhance student satisfaction and engagement, which in turn positively affect academic performance. The findings demonstrate partial mediation, with a substantial portion of the variance in academic performance explained by satisfaction and engagement. A comparative analysis across six academic terms also showed a notable improvement in success rates during the study year, reinforcing the model’s effectiveness. | ||
| Keywords | ||
| AI-based educational tools; Flexible learning techniques,; Academic probation, Students' satisfaction",Students' engagement | ||
|
Statistics Article View: 108 PDF Download: 116 |
||
