Author(s)

Peng Huan ¹

Affiliation(s)

¹ School of Economics and Management, Hubei Engineering University, Xiaogan, China

Corresponding Author

Peng Huan

ABSTRACT

With the rapid advancement of generative artificial intelligence (GenAI), its application in professional course teaching is profoundly reshaping the paradigm of higher education. However, this transformation is accompanied by multidimensional risks, including content hallucination, algorithmic black boxes, digital divide, and evaluation anomie. To address these challenges, the following countermeasures are recommended: developing specialized educational models and verification mechanisms to enhance technical reliability; establishing digital inclusion policies and resource compensation mechanisms to promote educational equity; constructing diversified evaluation systems and academic integrity guidelines to uphold scholarly norms; and strengthening human-AI collaboration and digital literacy to preserve educational subjectivity. By adhering to human-centered principles and the ethos of technology for good, the deep integration of GenAI into professional courses can be advanced. Multi-stakeholder collaborative governance will help achieve a dialectical unity between education and technology, thereby facilitating the modernization of higher education.

KEYWORDS

Generative Artificial Intelligence, Professional Course Teaching, Risks, Governance

CITE THIS PAPER

Peng Huan, Risks and Countermeasures of Generative Artificial Intelligence Empowering Professional Course Teaching. Adult and Higher Education (2025) Vol. 7: 1-7. DOI: http://dx.doi.org/10.23977/aduhe.2025.070501.

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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education