AI辅助虽提升短期表现，却削弱长期技能发展。
How AI Assistance Affects Human Skill Development: A Study of Learning with Logic Puzzles
- 通过逻辑谜题实验，研究AI使用频率与技能成长的关系。
- 依赖AI者卸载后表现更差，且前期表现高估了真实能力。
- 独立解题越多，能力提升越明显，揭示技能培养机制。
尽管人工智能（AI）能在短期内提升人类任务表现，但可能在长期内损害技能发展。本研究通过一项受控的逻辑谜题实验，考察即时AI辅助的影响：参与者在AI可用前、中、后三个阶段完成任务。通过改变请求AI的成本，发现成本越低，使用越频繁。结果表明，在可获取AI阶段频繁求助的参与者，在取消辅助后任务表现更差，且其后续无辅助表现被前期带AI的表现所高估。我们采用贝叶斯潜在能力模型，分离初始能力、去辅后能力及个体技能变化，并分析辅助期间独立推理与技能发展的关系。结果显示，独立解题努力越大，潜在能力增长越显著，支持‘当AI替代独立思考时，技能发展减弱’的结论。
原文摘要 · Abstract (English)
While AI assistance can improve human task performance in the short term, it may also undermine the development of skills in the longer term. We examine this tension in a controlled logic-puzzle experiment involving on-demand AI assistance, where participants complete tasks before, during, and after AI is available. By experimentally varying AI request costs, we find that lower-cost assistance induces more frequent AI use. We also find that participants who request AI assistance during the AI-access phase perform worse at the task after assistance is removed, and their subsequent unassisted performance is overestimated when predicted from earlier AI-assisted performance. We use a Bayesian latent ability model to separate initial ability, post-AI ability, and participant-specific skill change, while estimating how independent reasoning during the AI-access phase relates to skill development. The results show that greater independent problem-solving effort is associated with larger gains in latent ability, consistent with the interpretation that skill development is weaker when AI assistance substitutes for independent reasoning.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。