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Students Use ChatGPT Widely — But Lack Skills for Academic AI Use
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Context Matters: Understanding Student Usage, Skills, and Attitudes Toward AI to Inform Classroom Policies was authored by Christine Cahill and Katherine McCabe. It was published by Cambridge in PS in 2024.

🔍 What This Paper Shows

Rising use of AI tools like ChatGPT is reshaping academic settings, and instructors face decisions about how to manage and integrate these tools. This study documents how frequently political science undergraduates use ChatGPT and how confident they are in applying AI to academic tasks, then links those patterns to practical classroom policies.

📊 Survey of Political Science Undergraduates

  • A survey of undergraduate students enrolled in political science courses at the university level provided the evidence for this study.
  • Questions focused on students’ current interactions with AI, their skills for using AI in academic tasks, and their attitudes toward AI-assisted work.

🔎 Key Findings

  • ChatGPT usage is widespread among university students in political science courses.
  • Many students are not confident in their skills for using AI appropriately to improve writing or to prepare for exams.
  • Student attitudes and interactions with AI vary, highlighting uneven preparedness across the student body.

🧭 What Instructors Can Do

  • Integrate AI into course design in ways that scaffold skill development rather than simply banning tools.
  • Target instruction to build students’ practical AI skills for writing and exam preparation.
  • Design policies and supports to reduce potential achievement gaps that may emerge from differences in AI access and familiarity across student backgrounds.
  • Emphasize critical AI literacy to prepare students for careers increasingly affected by AI.

🔥 Why It Matters

Documenting both widespread AI use and low student confidence points to concrete, teachable interventions. Thoughtful pedagogical practices can turn ubiquitous AI tools into opportunities for learning while mitigating equity risks and better preparing students for AI-rich workplaces.

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