PEDAGOGICAL OPPORTUNITIES AND CHALLENGES OF USING ARTIFICIAL INTELLIGENCE IN TEACHING POLITICAL SCIENCE
DOI:
https://doi.org/10.55640/Keywords:
political science, artificial intelligence, generative AI, pedagogy, higher education, academic integrity, critical thinking, political analysis, digital literacy, assessment.Abstract
This article examines the pedagogical opportunities and challenges of using artificial intelligence in teaching political science. In recent years, generative AI tools have entered education rapidly and have raised new questions about teaching methods, assessment formats, written assignments, academic integrity, and students’ independent thinking. UNESCO’s guidance on generative AI in education emphasizes a human-centered approach, data privacy, and pedagogically grounded use, while OECD work suggests treating AI both as a tool for learning and as a subject of learning. Research focused specifically on political science education shows that AI can be useful for copyediting, structuring ideas, and clarifying concepts, but also creates serious risks for written assessment, independent analysis, source criticism, and academic integrity. On this basis, the article identifies the main opportunities, limitations, and methodological directions for the responsible use of AI in political science teaching.
References
1.UNESCO. Guidance for Generative AI in Education and Research. 2023.
2.OECD. AI Adoption in the Education System. 2025.
3.Wu, N., & Wu, P. Y. Surveying the Impact of Generative Artificial Intelligence on Political Science Education. PS: Political Science & Politics, 2024.
4.Rivetti, P., Banerjee, R., & O’Mullane, D. Testing ChatGPT in International Relations Classrooms: Potentialities, Limitations, and What’s Next. PS: Political Science & Politics, 2025.
5.Michels, S. Teaching (with) Artificial Intelligence: The Next Twenty Years. Journal of Political Science Education, 2023.
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