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Enhancing Data Science Education for Engineering Students using Generative AI Tools: Interactive Platforms and Active Learning
Enhancing Data Science Education for Engineering Students using Generative AI Tools: Interactive Platforms and Active Learning
| Project Leader: | Hanyu GAO |
|---|---|
| School: | School of Engineering (SENG) |
| Department: | Department of Chemical and Biological Engineering (CBE) |
| Project Year: | 2023/24 |
| Duration: | 2023-2024 |
| Description: | This project explores the potential for GenAI tools to offer opportunities to cater to learning diversity and enhance students’ learning experience in their first data science/machine learning course. The project will develop interactive platforms (both online and offline) that are integrated with generative AI tools to address students’ different learning needs and foster dynamic interaction such as in-class discussion questions, quizzes, and competitions to promote students’ engagement. This is all with the aim to leverage the power of GenAI to enhance the learning environment of introductory data science courses for students with General Engineering backgrounds and prepare them for the future challenges in the digital age. |
| Status: | Ongoing |
| Type of Innovation: | Course Design |
Triennium:
2022-2025
2022-2025
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