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https://hdl.handle.net/10356/184531| Title: | Teaching Python for undergraduate students: personalized question generation using large language models for educational purposes | Authors: | Goh, Jun Yan | Keywords: | Computer and Information Science | Issue Date: | 2025 | Publisher: | Nanyang Technological University | Source: | Goh, J. Y. (2025). Teaching Python for undergraduate students: personalized question generation using large language models for educational purposes. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184531 | Project: | CCDS24-0029 | Abstract: | Quizzipy is a web application that makes use of Large Language Models to pre-generate personalised questions for undergraduate students to solve, based on their proficiency levels in the Python language. This project is aimed to create a personalized learning environment for undergraduate students, improving proficiency in Python, while assisting professors teaching SC1003 - Introduction to Computational Thinking and Programming. | URI: | https://hdl.handle.net/10356/184531 | Schools: | College of Computing and Data Science | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | CCDS Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CCDS24-0029_FYP Report_Goh Jun Yan.pdf Restricted Access | 713.94 kB | Adobe PDF | View/Open |
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