The Application of AI in Higher Education

Yuxin Han ()
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Yuxin Han: University of Birmingham, Birmingham Business School

A chapter in Proceedings of the 2025 International Conference on Hybrid Commerce, Human Capital, and Economic Dynamics (ICHCH 2025), 2026, pp 402-409 from Springer

Abstract: Abstract This research essay explains the intricate relationship of artificial intelligence (AI) and higher education, and the challenges and opportunities it presented. It first describes current AI applications in education, such as individualized learning environments tailored to each student’s particular needs, smart teaching systems to support course planning and assessment for instructors, virtual learning environments that simulate interactive classroom environments, and AI-powered assistants that offer instant academic support. The study then delves into key challenges: the growing need to train teachers to deploy AI abilities in the application of those tools effectively, and the possibility of bias in AI systems that evaluate learning success, which could oversimplify complex educational progress. On the opportunity side, it highlights AI’s role in enabling flexible learning that breaking geographical and temporal barriers and its ability to craft individualized learning plans aligned with students’ unique schedules, learning paces, and academic goals. With specific recommendations, the paper advocates for the enhancement of AI training for educators to build their digital pedagogy and encourages students to rencounter AI learning tools in a reflective, ethical, and effective manner. Finally, the research essay aims to clarify the intersection of AI on higher education.

Keywords: Personalized Learning; Teaching Challenges; Artificial Intelligence; Development Opportunities; Higher Education (search for similar items in EconPapers)
Date: 2026
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DOI: 10.2991/978-2-38476-585-0_46

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