IMPLEMENTATION AND IMPACT OF ARTIFICIAL INTELLIGENCE GENERATED CONTENT (AIGC) IN HIGHER EDUCATION: A SYSTEMATIC REVIEW

Abstract

The rapid development of artificial intelligence technology has ushered in a new era of content generation, with artificial intelligence generated content (AIGC) emerging as a transformative force in higher education. This systematic review aims to synthesize current research findings on AIGC applications in higher education, focusing on empirical studies published between 2023 and 2024, to understand its implementation patterns, impacts, and challenges. Using three major academic databases, this study identified and analyzed 29 peer-reviewed articles that met our inclusion criteria. The findings reveal both significant opportunities and challenges: while AIGC demonstrates remarkable potential in enhancing learning engagement and outcomes across various disciplines, particularly in programming, digital design, and critical thinking development, its effectiveness varies considerably depending on factors such as disciplinary context, user characteristics, and technological infrastructure. Trust emerges as a crucial mediating factor in AIGC adoption, with studies showing a gradual transformation from initial skepticism to effective utilization among students. The review concludes that successful AIGC integration requires careful consideration of both technical capabilities and psychological factors, suggesting the need for balanced implementation strategies that maximize educational benefits while addressing potential limitations in accuracy, creativity development, and critical thinking.