PEDAGOGICAL OPPORTUNITIES AND CHALLENGES OF USING ARTIFICIAL INTELLIGENCE IN TEACHING POLITICAL SCIENCE

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-08
DOI
https://doi.org/10.5281/zenodo.20088979
Primary Topic
Innovative Teaching Methodologies in Social Sciences
Type
article
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article

PEDAGOGICAL OPPORTUNITIES AND CHALLENGES OF USING ARTIFICIAL INTELLIGENCE IN TEACHING POLITICAL SCIENCE

Rasulev Bobirjon Atkhamovich
Zenodo (CERN European Organization for Nuclear Research)
Innovative Teaching Methodologies in Social Sciences
article

PEDAGOGICAL OPPORTUNITIES AND CHALLENGES OF USING ARTIFICIAL INTELLIGENCE IN TEACHING POLITICAL SCIENCE

Rasulev Bobirjon Atkhamovich
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 3%
Innovative Teaching Methodologies in Social Sciences
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PEDAGOGICAL OPPORTUNITIES AND CHALLENGES OF USING ARTIFICIAL INTELLIGENCE IN TEACHING POLITICAL SCIENCE — Rasulev Bobirjon Atkhamovich · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS