Is ChatGPT Massively Used by Students Nowadays? A Survey on the Use of Large Language Models such as ChatGPT in Educational Settings
- URL: http://arxiv.org/abs/2412.17486v1
- Date: Mon, 23 Dec 2024 11:29:44 GMT
- Title: Is ChatGPT Massively Used by Students Nowadays? A Survey on the Use of Large Language Models such as ChatGPT in Educational Settings
- Authors: Jérémie Sublime, Ilaria Renna,
- Abstract summary: This study investigates how 395 students aged 13 to 25 years old in France and Italy integrate Large Language Models (LLMs) into their educational routines.
Key findings include the widespread use of these tools across all age groups and disciplines.
Results also show gender disparities, raising concerns about an emerging AI literacy and technological gender gap.
- Score: 0.25782420501870296
- License:
- Abstract: 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.
Related papers
- How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments? [0.8999666725996978]
This study introduces an approach that integrates dynamic knowledge graphs with large language models (LLMs) to offer nuanced student assistance.
Central to this method is the knowledge graph's role in assessing a student's comprehension of topic prerequisites.
Preliminary findings suggest students could benefit from this tiered support, achieving enhanced comprehension and improved task outcomes.
arXiv Detail & Related papers (2024-12-05T04:05:43Z) - Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students [53.20318273452059]
Large language models (LLMs) like OpenAI's ChatGPT have opened up new avenues in education.
Despite school restrictions, our survey of over 300 middle and high school students revealed that a remarkable 70% of students have utilized LLMs.
We propose a few ideas to address such issues, including subject-specific models, personalized learning, and AI classrooms.
arXiv Detail & Related papers (2024-11-27T19:19:34Z) - The Future of Learning: Large Language Models through the Lens of Students [20.64319102112755]
Students grapple with the dilemma of utilizing ChatGPT's efficiency for learning and information seeking.
Students perceive ChatGPT as being more "human-like" compared to traditional AI.
arXiv Detail & Related papers (2024-07-17T16:40:37Z) - Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads [74.54183505245553]
A systematic analysis of AI capabilities for joint vision and text reasoning is missing in the current scientific literature.
We evaluate state-of-the-art LVLMs on their mathematical and algorithmic reasoning abilities using visuo-linguistic problems from children's Olympiads.
Our results show that modern LVLMs do demonstrate increasingly powerful reasoning skills in solving problems for higher grades, but lack the foundations to correctly answer problems designed for younger children.
arXiv Detail & Related papers (2024-06-22T05:04:39Z) - The Evolution of Learning: Assessing the Transformative Impact of Generative AI on Higher Education [0.0]
Generative Artificial Intelligence models such as ChatGPT have experienced a surge in popularity.
This research paper investigates the impact of GAI on university students and Higher Education Institutions.
arXiv Detail & Related papers (2024-04-16T13:19:57Z) - Bringing Generative AI to Adaptive Learning in Education [58.690250000579496]
We shed light on the intersectional studies of generative AI and adaptive learning.
We argue that this union will contribute significantly to the development of the next-stage learning format in education.
arXiv Detail & Related papers (2024-02-02T23:54:51Z) - Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges [60.62904929065257]
Large language models (LLMs) offer possibility for resolving this issue by comprehending individual requests.
This paper reviews the recently emerged LLM research related to educational capabilities, including mathematics, writing, programming, reasoning, and knowledge-based question answering.
arXiv Detail & Related papers (2023-12-27T14:37:32Z) - Gender, Age, and Technology Education Influence the Adoption and
Appropriation of LLMs [33.36152215322338]
Large Language Models (LLMs) have become increasingly integrated into critical activities of daily life.
This study investigates the usage of LLMs among 1,500 representative US citizens.
arXiv Detail & Related papers (2023-10-10T12:11:39Z) - Disadvantaged students increase their academic performance through
collective intelligence exposure in emergency remote learning due to COVID 19 [105.54048699217668]
During the COVID-19 crisis, educational institutions worldwide shifted from face-to-face instruction to emergency remote teaching (ERT) modalities.
We analyzed data on 7,528 undergraduate students and found that cooperative and consensus dynamics among students in discussion forums positively affect their final GPA.
Using natural language processing, we show that first-year students with low academic performance during high school are exposed to more content-intensive posts in discussion forums.
arXiv Detail & Related papers (2022-03-10T20:23:38Z) - Personalized Education in the AI Era: What to Expect Next? [76.37000521334585]
The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses her weaknesses to meet her desired goal.
In recent years, the boost of artificial intelligence (AI) and machine learning (ML) has unfolded novel perspectives to enhance personalized education.
arXiv Detail & Related papers (2021-01-19T12:23:32Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.