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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.21174 |
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| _version_ | 1866913965648379904 |
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| author | Vu, Sinh Trong Truong, Huong Thu Do, Oanh Tien Le, Tu Anh Mai, Tai Tan |
| author_facet | Vu, Sinh Trong Truong, Huong Thu Do, Oanh Tien Le, Tu Anh Mai, Tai Tan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_21174 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A ChatGPT-based approach for questions generation in higher education Vu, Sinh Trong Truong, Huong Thu Do, Oanh Tien Le, Tu Anh Mai, Tai Tan Computers and Society Artificial Intelligence 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. |
| title | A ChatGPT-based approach for questions generation in higher education |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2507.21174 |