Journal Article

The Impact of Artificial Intelligence (AI) on Students’ Academic Development

Petrea, Gabriel, Vieriu, Aniella Mihaela

2025

Overview

The integration of Artificial Intelligence (AI) in education has transformed academic learning, offering both opportunities and challenges for students’ development. This study investigates the impact of AI technologies on students’ learning processes and academic performance, with a focus on their perceptions and the challenges associated with AI adoption. Conducted at the National University of Science and Technology POLITEHNICA Bucharest, this research involved second-year students who had direct experience with AI-enhanced learning environments. Using purposive sampling, 85 participants were selected to ensure relevance. Data were collected through a structured questionnaire comprising 11 items as follows: seven closed-ended questions assessing perceptions, usage, and the effectiveness of AI tools; and four open-ended questions exploring experiences, expectations, and concerns. Quantitative data were analyzed using frequency and percentage calculations, while qualitative responses were subjected to thematic analysis, incorporating both vertical (individual responses) and horizontal (cross-dataset) approaches to ensure comprehensive theme identification. The findings reveal that AI offers significant benefits, including personalized learning, improved academic outcomes, and enhanced student engagement. However, challenges such as over-reliance on AI, diminished critical thinking skills, data privacy risks, and academic dishonesty were also identified. The study underscores the necessity of a structured framework for AI integration, supported by ethical guidelines, to maximize benefits while mitigating risks. In conclusion, while AI holds immense potential to enhance learning efficiency and academic performance, its successful implementation requires addressing concerns related to accuracy, cognitive disengagement, and ethical implications. A balanced approach is essential to ensure equitable, effective, and responsible learning experiences in AI-enhanced educational environments.

• Publisher: MDPI AG
• Subject: Academic achievement / academic development / Access to Education / Adaptive learning / Aerospace Education / Analysis / Artificial intelligence / artificial intelligence in education / Collaboration / Creativity / Critical thinking / Data Analysis / Data collection / Data Interpretation / Data Processing / Education / education technology / Educational Change / Educational Equity (Finance) / Educational Objectives / Educational Technology / Educational Theories / Engineering Education / Equal Education / Ethics / Feedback / Feedback (Response) / Forecasts and trends / Higher education / Influence of Technology / Information Processing / Integrated Activities / Intelligent Tutoring Systems / Learner Engagement / Learning Activities / Methods / Pedagogy / Personalized learning / Questionnaires / student engagement / Student participation / Students / Teaching methods / Tutoring