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Generative AI in Higher Education: Challenges and Opportunities for Course Learning
Open accessAbstract
Generative Artificial Intelligence (GenAI) is transforming course learning in higher education. This study, based on two rounds of action research in two college courses, reveals critical challenges in this transformation. Findings indicate that students' reliance on GenAI can hinder their autonomy, critical thinking, and affective-social learning, while also raising concerns about content accuracy, intellectual property rights, and privacy. Although teacher guidance partially mitigates these issues, enhanced strategies are crucial. This study provides practical implications for optimizing curriculum design, teaching methods, and evaluation criteria, emphasizing the need to incorporate ethics education and strengthen emotional-social guidance. Future research directions are suggested to address the challenges of GenAI and ensure educational quality and student development.
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“Other tools such as Gemini, Ernie Bot, and multi-tool workflows were less common [61,70], and a few studies developed custom GPT-based systems ( [50,59,84,89,90]).”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [90]
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Research works printed but not linked: 31
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Cited by
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Balart, T., Díaz, B., & Shryock, K. (2026) · Algorithms · doi:10.3390/a19030179 · Cited by 29
Metadata
- Authors
- Zhang, J.
- Affiliations
- Beijing Normal University (CN)
- Corresponding author
- Zhang, Jinbao
- ORCID
- Zhang, Jinbao
- Venue
- Advances in Social Sciences Research Journal
- Publisher
- Scholar Publishing
- Published
- 2025-01-25
- Volume
- 12
- Issue
- 01
- Pages
- 11-18
- ISSN
- 2055-0286 (ISSN-L)
- OpenAlex
- W4406291130
- Cited by
- 15
- References
- 0
- Citations by year
- 2026: 10 · 2025: 5
- FWCI
- 15.73
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Advances in Social Sciences Research Journal (publishedVersion, cc-by)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Educational Technology and Pedagogy
- Keywords
- generative AI, higher education, student independence, critical thinking, content accuracy, intellectual property, student privacy, teacher guidance, curriculum development, ethics education
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