A ChatGPT-based approach for questions generation in higher education
Not on the map. Why?
Abstract (arXiv)
Large language models have been widely applied in many aspects of real life, bringing significant efficiency to businesses and offering distinctive user experiences. In this paper, we focus on exploring the application of ChatGPT, a chatbot based on a large language model, to support higher educator in generating quiz questions and assessing learners. Specifically, we explore interactive prompting patterns to design an optimal AI-powered question bank creation process. The generated questions are evaluated through a "Blind test" survey sent to various stakeholders including lecturers and learners. Initial results at the Banking Academy of Vietnam are relatively promising, suggesting a potential direction to streamline the time and effort involved in assessing learners at higher education institutes.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 6 of its 19 references that are in the map. First posted on arXiv 26 Jul 2025.
Builds on
6 of 19 references.
References · 6
- 2023A Survey on Evaluation of Large Language Modelscited by 1,227
- 2023Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Reviewcited by 83
- 2023A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4cited by 81
- 2023New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolutioncited by 20
- 2023Distractor generation for multiple-choice questions with predictive prompting and large language modelscited by 15
- 2023ChatGPT v Bard v Bing v Claude 2 v Aria v human-expert. How good are AI chatbots at scientific writing?cited by 6
Built on by
Citing papers per year: 2025: 1; 2026: 1.
2 papers.