A ChatGPT-based approach for questions generation in higher education
Sinh Trong Vu, Huong Thu Truong, Oanh Tien Do, Tu Anh Le, Tai Tan Mai

TL;DR
This paper explores using ChatGPT to efficiently generate quiz questions for higher education, aiming to streamline assessment processes through interactive prompting and stakeholder evaluation.
Contribution
It introduces an interactive prompting approach for ChatGPT to create an effective AI-powered question bank for higher education assessments.
Findings
Promising initial results at the Banking Academy of Vietnam
Potential to reduce time and effort in learner assessment
Stakeholder feedback supports effectiveness of generated questions
Abstract
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.
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