Adoption of Artificial Intelligence in Education: A Systematic Literature Review

Artificial intelligence (AI) has significantly penetrated the education sector, playing a vital role in enhancing educational processes. As AI integration in education becomes a strategic priority, understanding its adoption is important. This paper reviews the technological theories used in studying AI adoption in education and identifies key factors affecting user acceptance across different nations. The PRISMA framework was employed to guarantee a transparent and rigorous review process. The study analyzed 22 prior studies, noting an increasing focus on AI adoption in education. The technology acceptance model (TAM) surfaced as the most prevalently utilized model in these articles. Key findings indicate that perceived ease of use as well as usefulness are the primary influencers of AI adoption in various nations. The study identified 37 factors significantly impacting AI adoption in developed nations, while 49 factors were noted in developing nations. Additionally, significant attention was given to AI adoption in education in three Arab nations: the United Arab Emirates, Saudi Arabia, and Oman. This study enriches existing knowledge, enhancing the understanding of AI adoption in education. It provides valuable insights for policymakers and strategists in decision-making and strategy formulation for AI adoption in educational contexts.