APPLICATION OF CHATGPT IN BUILDING MULTIPLE CHOICE QUESTION BANK: A STUDY IN HIGHER EDUCATION

Educational Technology

This study explores the application of ChatGPT in building a multiple-choice question bank for theory modules in higher education. Using ChatGPT, the study aimed to automate the process of generating diverse and relevant questions based on lecture content. The theoretical framework includes understanding the basic concepts and working principles of ChatGPT, along with an explanation of the multiple choice question banks and their significance in higher education. Methodologically, the study included data collection and preparation, adjustment of the ChatGPT model, and assessment of the quality of the generated questions. The results showed that a large number of questions were generated, demonstrating diversity and relevance to teaching materials. Evaluation criteria include accuracy, richness, level of difficulty and relevance. The discussion highlights advantages such as increased productivity and resource diversification, along with challenges such as limits on data accuracy and complexity. The study concludes with recommendations for further research and development in this area.

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