This study explores current global practices and local insights from Japan on how AI-driven innovations are reshaping university-level STEM disciplines and English language learning (the “+E”). It examines international trends in AI applications for STEM+E education, including personalized and adaptive learning systems, intelligent tutoring platforms, and automated assessment tools, and their impact on student engagement and outcomes. In the English education domain, AI-powered tools such as grammar checkers, chatbots, and writing assistants are increasingly used to support language teaching, learning, and academic communication. The study reviews practical AI tools available to educators and students, alongside pedagogical shifts such as data-driven personalization and the evolving roles of teachers. Japan-specific analysis covers updated national guidelines for AI adoption in education, case studies from universities, and considerations of cultural context, teacher training, and ethics. Key challenges, such as academic integrity, bias, and the digital divide, are discussed, with strategies suggested for mitigation. Drawing on research and policy from 2020?2025, the study offers an overview of how AI can be effectively integrated into tertiary STEM+E curricula and pedagogy to enable efficient, practical, and personalized learning. It emphasizes the need for proactive attitudes and engagement from institutions and teachers, viewing AI as an innovative technology with the capacity to foster future educational change.
SHI et al. (Sun,) studied this question.