Date
Publisher
arXiv
This study explores the integration of the ChatGPT API with GPT-4 model and
Microsoft Copilot Studio on the Microsoft Teams platform to develop an
intelligent tutoring system. Designed to provide instant support to students,
the system dynamically adjusts educational content in response to the learners'
progress and feedback. Utilizing advancements in natural language processing
and machine learning, it interprets student inquiries, offers tailored
feedback, and facilitates the educational journey. Initial implementation
highlights the system's potential in boosting students' motivation and
engagement, while equipping educators with critical insights into the learning
process, thus promoting tailored educational experiences and enhancing
instructional effectiveness.
Study at a glance
- Question: How can an AI tutoring system built into Microsoft Teams provide personalized support and feedback to students?
- Setting and data: Not stated in the abstract
- Method: Not stated in the abstract
Why it matters
Intelligent tutoring systems aim to provide instant student support by dynamically adjusting educational content to learner progress. Leveraging generative AI can interpret student inquiries, offer tailored feedback, and facilitate the educational journey.
Key findings
- Within Microsoft Teams, an intelligent tutor showed potential to increase student motivation and engagement through instant, tailored support.
- The system demonstrated potential to equip educators with key insights into student learning, promoting tailored instruction and greater teaching effectiveness.
- The tool dynamically adjusted educational materials in response to student inquiries, progress, and ongoing feedback.
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
