Date
Publisher
arXiv
The rise of AI, especially Large Language Models, presents challenges and opportunities to integrate such technology into the classroom. AI has the potential to revolutionize education by helping teaching staff with various tasks, such as personalizing their teaching methods, but it also raises concerns, for example, about the degradation of student-teacher interactions and user privacy. This paper introduces INSIGHT, a proof of concept to combine various AI tools to assist teaching staff and students in the process of solving exercises. INSIGHT has a modular design that allows it to be integrated into various higher education courses. We analyze students' questions to an LLM by extracting keywords, which we use to dynamically build an FAQ from students' questions and provide new insights for the teaching staff to use for more personalized face-to-face support. Future work could build upon INSIGHT by using the collected data to provide adaptive learning and adjust content based on student progress and learning styles to offer a more interactive and inclusive learning experience.
Study at a glance
- Question: How can an AI tool help teachers provide personalized support by analyzing student questions?
- Setting and data: Higher education courses; students' questions to an AI model.
- Method: Development of a proof-of-concept tool and keyword analysis of student questions.
Why it matters
While large language models offer opportunities to help teaching staff personalize their teaching methods, integrating them into classrooms raises concerns about user privacy and the degradation of student-teacher interactions.
Key findings
- In higher education courses, an AI tool can extract keywords from student questions to dynamically build an FAQ while students solve exercises.
- Analyzing student questions to language models provides instructors with insights they can use for more personalized, face-to-face support.
- A modular AI design allows tools to be integrated across different courses to assist both instructors and students during exercise solving.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who age?
Why use AI?
Study design
