Date
Publisher
arXiv
The rapid adoption of Generative AI (GenAI) based on Large Language Models (LLMs) such as ChatGPT has recently and profoundly impacted education, offering transformative opportunities while raising significant concerns. In this study we present the results of a survey that investigates how 395 students aged 13 to 25 years old in France and Italy integrate LLMs into their educational routines.
Key findings include the widespread use of these tools across all age groups and disciplines, with older students and male students demonstrating higher usage frequencies, particularly in scientific contexts. The results also show gender disparities, raising concerns about an emerging AI literacy and technological gender gap. Additionally, while most students utilise LLMs constructively, the lack of systematic proofreading and critical evaluation among younger users suggests potential risks to cognitive skills development, including critical thinking and foundational knowledge. The survey results underscore the need for educational institutions to adapt their curricula to integrate AI tools effectively, promoting ethical use, critical thinking, and awareness of AI limitations and environmental costs. This paper provides actionable recommendations for fostering equitable and effective cohabitation of LLMs and education while addressing emerging challenges.
Study at a glance
- Question: How do students integrate AI tools like ChatGPT into their educational routines?
- Setting and data: 395 students aged 13 to 25 years old in France and Italy
- Method: Survey
Why it matters
The rapid adoption of generative AI like ChatGPT has profoundly impacted education. While these tools offer transformative opportunities, they also raise significant concerns regarding how students integrate them into their educational routines.
Key findings
- Among 395 students aged 13 to 25 in France and Italy, AI use was widespread across disciplines, especially among older and male students in science.
- Most students used AI tools constructively, but younger users rarely proofread or critically evaluated outputs, suggesting potential risks to critical thinking and foundational knowledge.
- Gender disparities in AI usage raised concerns about an emerging gap between male and female students in technological and AI literacy.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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