Research Status of Artificial Intellegence in Education: A Systematic Literature Review (SLR)

The study on Artificial Intelligence (AI) in education highlights key findings that enhance understanding of the topic. It emphasizes the rapid growth of AI applications since 2015, focusing on intelligent tutoring systems, personalized learning environments, and administrative support. These applications show AI's potential to improve learning experiences and educational processes. Another significant finding is the rising importance of AI literacy and ethical considerations in education, with a shift in research towards addressing challenges related to preparing students for an AI-driven world. Keywords like "AI literacy," "effect," and "problem" reflect these concerns. The study also notes that while developed countries lead in AI research, emerging regions offer unique, localized insights. The interdisciplinary nature of AI research spans fields like neuroscience, social sciences, and computer engineering, aiming to align AI systems with human values. Using a systematic literature review and data visualization, the study offers valuable insights to optimize AI's potential in education.