Treffer: Teaching Python for undergraduate students: personalized question generation using large language models for educational purposes
Title:
Teaching Python for undergraduate students: personalized question generation using large language models for educational purposes
Authors:
Contributors:
Owen Noel Newton Fernando, College of Computing and Data Science, OFernando@ntu.edu.sg
Publisher Information:
Nanyang Technological University
Publication Year:
2025
Collection:
DR-NTU (Digital Repository at Nanyang Technological University, Singapore)
Subject Terms:
Document Type:
other/unknown material
File Description:
application/pdf
Language:
English
Relation:
CCDS24-0029; 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; https://hdl.handle.net/10356/184531
Availability:
Accession Number:
edsbas.35AD9FAD
Database:
BASE
Weitere Informationen
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. ; Bachelor's degree