Personalized learning resources created by generative artificial intelligence: A systematic review

With the advancement of generative artificial intelligence (AI) technology, the generation of personalized learning resources has emerged as a significant research focus in the field of education. This study systematically reviews 11 papers published between 2022 and 2024, selected from databases such as Web of Science and Google Scholar, focusing on the use of generative AI in developing personalized educational materials. This study aims to explore how AI technologies generate customized learning resources based on students’ individual differences, evaluate their learning effectiveness and the quality of AI-generated content, and analyze their impact on reducing teachers’ workload, while also addressing potential ethical and privacy concerns. The analysis reveals that generative AI provides precise personalized feedback and dynamically generates multimodal learning materials, significantly enhancing students’ learning efficiency and engagement. Additionally, AI demonstrates great potential in alleviating teachers’ burdens related to lesson preparation and assessment. However, further attention is needed to address ethical considerations, data privacy issues, and fairness concerns.