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Synthesizing Evidence on AI Integration in Education and Its Effects on Academic Performance: A Scoping Review Imam Nurcahyo Fambudi; Muhammad Farhan Dhifa Akbar; Nanda Darajulia; Resha Mutiaramadhani; Tri Yuliyanti
Formosa Journal of Multidisciplinary Research Vol. 5 No. 2 (2026): February 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v5i2.13

Abstract

This scoping review examines how Artificial Intelligence (AI) is utilized to enhance academic performance in higher education. Despite growing student reliance on AI, comprehensive mapping of its applications and effectiveness remains limited. Using the PCC framework, empirical studies published in Scopus (2021–2025) were analyzed to identify forms of AI use, system types, research trends, and factors influencing implementation outcomes. Findings show that AI—especially Generative AI based on Large Language Models—improves academic performance by strengthening learning engagement and motivation. The review highlights a research shift from exploring AI’s potential to empirically evaluating its impact and emphasizes the need for an integrated conceptual model incorporating cognitive, motivational, and technology acceptance dimensions in AI-based learning.