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AI code assistants may hinder student learning in programming education

A study on student use of AI code assistants for unit test writing found that most students adopted a one-shot interaction strategy, requesting a complete unit test directly from the AI. This approach prioritizes task completion over learning, potentially hindering the development of critical thinking and responsible AI usage skills. The research suggests that improved training, accountability, and task design are necessary to shift student focus from outcomes to the learning process. AI

IMPACT May shift focus in programming education from learning to task completion, necessitating changes in training and assessment.

RANK_REASON Academic paper detailing findings on student use of AI tools in programming education. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI code assistants may hinder student learning in programming education

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16 / 100
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Academic paper detailing findings on student use of AI tools in programming education. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Daniel Hinbest, Jeremy S. Bradbury, Michael A. Miljanovic ·

    Outcome Over Learning? Evidence from Student Use of AI Code Assistants for Unit Test Writing

    arXiv:2611.14664v1 Announce Type: cross Abstract: Artificial intelligence (AI) code assistants are rapidly being adopted in programming education, yet little is known about how students naturally use these tools when given unrestricted access. In a user study investigating AI-ass…