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  1. Embed this notice
    Krazy Krêpe (krazykitty@mamot.fr)'s status on Tuesday, 18-Mar-2025 04:52:47 JST Krazy Krêpe Krazy Krêpe
    • Le Néandertal se sent las, las
    • ⏚ Antoine Chambert-Loir
    • Tania Lévy

    À la demande générale de @HydrePrever (et aussi un peu @antoinechambertloir et @teol03), quelques références (articles scientifiques en anglais) pour appuyer pourquoi c'est pas une bonne idée du point de vue pédagogique d'intégrer un agent conversationnel basé sur des modèles statistiques du langage (communément appelé "IA" parce que c'est fou ce qu'on peut faire avec du marketing) dans tes enseignements :
    🧵

    In conversation about a year ago from mamot.fr permalink
    • Adrianna Tan repeated this.
    • Embed this notice
      Krazy Krêpe (krazykitty@mamot.fr)'s status on Tuesday, 18-Mar-2025 04:52:46 JST Krazy Krêpe Krazy Krêpe
      in reply to

      1) Generative AI Can Harm Learning, Bastani et al. (2024)
      https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4895486
      "Access to GPT-4 significantly improves performance. However, we additionally find that when access is subsequently taken away, students actually perform worse than those who never had access."

      In conversation about a year ago permalink

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      1. No result found on File_thumbnail lookup.
        Generative AI Can Harm Learning
        Generative artificial intelligence (AI) is poised to revolutionize how humans work, and has already demonstrated promise in significantly improving human produc
    • Embed this notice
      Krazy Krêpe (krazykitty@mamot.fr)'s status on Tuesday, 18-Mar-2025 04:55:22 JST Krazy Krêpe Krazy Krêpe
      in reply to

      4) Do Users Write More Insecure Code with AI Assistants?, Perry et al. (2023)
      https://dl.acm.org/doi/10.1145/3576915.3623157
      preprint: https://arxiv.org/abs/2211.03622
      "Overall, we find that participants who had access to an AI assistant based on OpenAI's codex-davinci-002 model wrote significantly less secure code than those without access. Additionally, participants with access to an AI assistant were more likely to believe they wrote secure code than those without access to the AI  assistant."

      In conversation about a year ago permalink

      Attachments

      1. Domain not in remote thumbnail source whitelist: arxiv.org
        Do Users Write More Insecure Code with AI Assistants?
        We conduct the first large-scale user study examining how users interact with an AI Code assistant to solve a variety of security related tasks across different programming languages. Overall, we find that participants who had access to an AI assistant based on OpenAI's codex-davinci-002 model wrote significantly less secure code than those without access. Additionally, participants with access to an AI assistant were more likely to believe they wrote secure code than those without access to the AI assistant. Furthermore, we find that participants who trusted the AI less and engaged more with the language and format of their prompts (e.g. re-phrasing, adjusting temperature) provided code with fewer security vulnerabilities. Finally, in order to better inform the design of future AI-based Code assistants, we provide an in-depth analysis of participants' language and interaction behavior, as well as release our user interface as an instrument to conduct similar studies in the future.

    • Embed this notice
      Krazy Krêpe (krazykitty@mamot.fr)'s status on Tuesday, 18-Mar-2025 04:55:23 JST Krazy Krêpe Krazy Krêpe
      in reply to

      3) Plus général, mais on imagine bien les conséquences sur l'apprentissage
      The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers, Lee et al (2025)
      https://www.microsoft.com/en-us/research/publication/the-impact-of-generative-ai-on-critical-thinking-self-reported-reductions-in-cognitive-effort-and-confidence-effects-from-a-survey-of-knowledge-workers/
      "Specifically, higher confidence in GenAI is associated with less critical thinking, while higher self-confidence is associated with more critical thinking"

      In conversation about a year ago permalink

      Attachments

      1. No result found on File_thumbnail lookup.
        The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers - Microsoft Research
        from Advait Sarkar
        The rise of Generative AI (GenAI) in knowledge workflows raises questions about its impact on critical thinking skills and practices. We survey 319 knowledge workers to investigate 1) when and how they perceive the enaction of critical thinking when using GenAI, and 2) when and why GenAI affects their effort to do so. Participants shared […]
      Adrianna Tan repeated this.
    • Embed this notice
      Krazy Krêpe (krazykitty@mamot.fr)'s status on Tuesday, 18-Mar-2025 04:55:25 JST Krazy Krêpe Krazy Krêpe
      in reply to

      2) The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review, Zhai et al (2024)
      https://slejournal.springeropen.com/articles/10.1186/s40561-024-00316-7
      "Our findings indicate that over-reliance impacts cognitive abilities, as individuals increasingly favor fast and optimal solutions over slow ones constrained by practicality."

      In conversation about a year ago permalink

      Attachments

      1. Domain not in remote thumbnail source whitelist: static-content.springer.com
        The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review - Smart Learning Environments
        from Li, Lily D.
        The growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance of learning aids. Despite examination of the ethical concerns associated with these technologies, there is a noticeable gap in investigations on how these ethical issues of AI contribute to students’ over-reliance on AI dialogue systems, and how such over-reliance affects students’ cognitive abilities. Overreliance on AI occurs when users accept AI-generated recommendations without question, leading to errors in task performance in the context of decision-making. This typically arises when individuals struggle to assess the reliability of AI or how much trust to place in its suggestions. This systematic review investigates how students’ over-reliance on AI dialogue systems, particularly those embedded with generative models for academic research and learning, affects their critical cognitive capabilities including decision-making, critical thinking, and analytical reasoning. By using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, our systematic review evaluated a body of literature addressing the contributing factors and effects of such over-reliance within educational and research contexts. The comprehensive literature review spanned 14 articles retrieved from four distinguished databases: ProQuest, IEEE Xplore, ScienceDirect, and Web of Science. Our findings indicate that over-reliance stemming from ethical issues of AI impacts cognitive abilities, as individuals increasingly favor fast and optimal solutions over slow ones constrained by practicality. This tendency explains why users prefer efficient cognitive shortcuts, or heuristics, even amidst the ethical issues presented by AI technologies.

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