Date
Publisher
arXiv
This paper presents a cognitive tutor powered by Davinci 003 API that
generates and evaluates personalized questions for students on any topic they
choose. The tutor adapts to the student's level of understanding and fosters
knowledge transfer by generating questions that relate the topic to different
domains. This solution has the potential to improve student learning outcomes
by providing personalized and adaptive questions that challenge them at their
optimal level of difficulty. The feasibility of this solution has been
demonstrated through a working prototype developed using Microsoft PowerApps.
Additional research could reveal how affective computing principles could be
integrated into the system to analyze the emotional valence of the user and how
the system could be tuned to meet the specific needs of learners across the ASD
spectrum. This solution is novel and offers more comprehensive support to a
diverse range of learners than existing AI tutors, such as Quizlet's Q-Chat.
The paper also includes an equity statement that outlines the author's
commitment to promoting educational equity and addressing potential biases in
the project.
Study at a glance
- Question: Can an AI tutor generate and evaluate personalized questions adapted to a student's level of understanding?
- Setting and data: Not stated in the abstract
- Method: Development and demonstration of a working prototype
Why it matters
Existing AI tutors offer less comprehensive support to a diverse range of learners. Personalized, adaptive questions that relate topics to different domains can challenge students at their optimal level of difficulty to improve learning outcomes.
Key findings
- A working prototype demonstrated that an AI tutor can feasibly generate and evaluate personalized questions tailored to a student's understanding across any topic.
- The AI tutor promotes knowledge transfer by connecting selected topics to different subject areas at an optimal difficulty level for each learner.
- The system provides more comprehensive support to diverse learners than existing AI tutoring tools, such as Quizlet's Q-Chat.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
