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 does an intelligent tutoring system in Microsoft Teams affect student motivation, engagement, and learning outcomes?
- Setting and data: 100 first-year communication undergraduate students and 4 teachers, semester-long course, campus Microsoft Teams.
- Method: Mixed methods combining a prototype deployment, two-group comparison, student surveys, and semi-structured interviews.
Why it matters
Distance learning requires personalized paths, instant feedback, and interactive experiences. Combining generative language models and no-code chatbot tools could create intelligent tutoring systems that provide adaptive feedback and improve teaching efficiency.
Key findings
- Students using the smart tutor system showed significantly higher learning motivation, classroom participation, understanding of course content, and appraisal of teacher insight than the control group.
- Student learning background had a significant impact on their experience with the smart tutor system, whereas gender and its interaction with background showed no significant effect.
- While students valued personalized learning and immediate feedback, the difference in user experience satisfaction between the two groups was not statistically significant.
Summary drafted with AI from the full paper and may contain errors. See the full paper for details.
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