Students Show Low 'Epistemic AI Literacy' When Using Generative AI for Coding
In brief
- A new study reveals that most students lack "epistemic AI literacy" when using generative AI tools for programming.
- Researchers analyzed over 10,000 interactions between students and AI systems during coding tasks.
- They found that 78.8% of these interactions relied on non-mastery-oriented goals, with students often outsourcing work or seeking simple explanations rather than deeply understanding the AI's processes.
- The study highlights a significant gap in how students engage with generative AI.
- Only 11.1% demonstrated high epistemic engagement, combining mastery goals with advanced strategies like justifying their reasoning and carefully monitoring prompts.
- This suggests that most students are not effectively developing the critical thinking skills needed to work alongside AI systems.
- Looking ahead, educators will need to focus on teaching these advanced epistemic strategies to better prepare students for collaboration with generative AI tools in programming and other fields.
Terms in this brief
- Epistemic AI Literacy
- The understanding and knowledge about how AI systems work and make decisions. It's crucial for students to grasp this so they can effectively use generative AI tools for coding tasks instead of just relying on them without comprehension.
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