AI in Education

This collection supports and amplifies research related to SDG 4 - Quality education.

                                                          The integration of artificial intelligence (AI) in education is reshaping teaching and learning. As AI technologies, such as machine learning algorithms and large language models (LLMs), evolve, they present new opportunities to improve educational experiences, but their use may also pose risks. This Collection aims to investigate various applications of AI in education, including personalized learning, assessment tools, and language learning tools. We also welcome studies that address the ethical implications of AI in education, ensuring responsible and equitable use of these technologies.

Topics of interest include:

• The effects of AI-mediated learning for understanding, memory and retention
• Large language models in language learning
• Use of AI in classroom settings
• Ethical considerations of AI in education
• Intelligent tutoring systems and assessment

This Collection brings together research on the role of artificial intelligence in education. We welcome submissions exploring applications of AI, including personalized learning, language learning enhancements, and ethical considerations. The Collection is a multidisciplinary collaboration of Nature Portfolio journals, bringing together psychological, educational, and computational approaches to the topic.