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Effectiveness of e-counseling platforms enhanced by AI chatbots on academic self-efficacy and fear of negative evaluation among undergraduate students

Rana Suhaim Aldabbous (), Adel Eladl () and Ashraf Ragab Ibrahim ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 6, 23-33

Abstract: Undergraduate students face significant psychological challenges, including diminished academic self-efficacy (ASE) and heightened fear of negative evaluation (FNE), which impact academic performance and university adaptation. This study evaluated the effectiveness of AI chatbot-enhanced e-counseling platforms in addressing these critical concerns among university students. A quasi-experimental design was employed with 66 undergraduate students randomly assigned to experimental (n=34) or control (n=32) groups. The experimental group received access to an AI-enhanced e-counseling platform incorporating cognitive-behavioral therapy techniques and personalized support over eight weeks, while the control group received standard university services. Participants completed assessments at pre-intervention, post-intervention, and four-week follow-up using validated measures of ASE and FNE. Results revealed significant improvements in the experimental group, with ASE scores more than doubling from baseline (M=22.85 to M=46.23) and sustained at follow-up (M=45.88). FNE significantly decreased from pre-intervention to post-intervention and follow-up. Large effect sizes were observed for ASE (η²p=.598) and medium effects for FNE (η²p=.156). The AI-enhanced e-counseling platform demonstrated substantial and durable effectiveness in improving psychological outcomes among university students, suggesting promising applications for scalable university mental health interventions.

Keywords: Academic self-efficacy; AI chatbots; Digital interventions; E-counseling; Fear of negative evaluation. (search for similar items in EconPapers)
Date: 2025
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