Impact of Artificial Intelligence on Students’ Achievement at Higher Education Level

Abstract

This study explores the influence of artificial intelligence (AI) on students’ academic performance, with particular emphasis on its contribution to enhancing achievement at the university level. The research seeks to evaluate how AI-driven tools and systems support and improve students’ academic outcomes. An ex-post facto research design was adopted, and a multi-stage random sampling technique was utilized to select a sample of 1,843 respondents in accordance with predetermined criteria. The findings demonstrate that AI substantially addresses learners’ individual academic needs, thereby fostering more comprehensive, efficient, and enriched learning experiences. AI technologies effectively identify students who experience academic difficulties and provide timely, targeted interventions designed to strengthen their performance. Results further indicate a positive and significant influence of AI on university students’ academic achievement. These insights contribute meaningfully to the broader discourse on technology-supported education, underscoring that the integration of AI can enhance student performance in measurable ways. Moreover, the study reveals that AI systems not only assess but also improve students’ attitudes toward learning, yielding deeper understanding of their learning processes. AI was also found to bolster students’ motivation, study habits, and overall learning behaviors. Additionally, its adaptive learning features guide students through personalized learning pathways and deliver constructive, real-time feedback. Collectively, these findings highlight the transformative potential of AI in promoting academic excellence within higher education.