Analysis of ChatGPT and the future of artificial intelligence: Its effect on teaching and learning

Gunja Kumari Sah, Dipak Kumar Gupta and Amar Prasad Yadav
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Gunja Kumari Sah: Patan Multiple Campus, Nepal
Dipak Kumar Gupta: Tri-Chandra Multiple Campus, Nepal
Amar Prasad Yadav: Central Department of Chemistry, Nepal

Journal of AI, Robotics & Workplace Automation, 2023, vol. 3, issue 1, 64-80

Abstract: This research paper aims to analyse the use of ChatGPT and its future in the teaching and learning process. The research was based on a descriptive research design and model that examined the use of ChatGPT among university students and leveraged the technology acceptance model (TAM). Samples were obtained from Nepal’s oldest universities, Tribhuvan University, Purwanchal University, Kathmandu University and Pokhara University, by purposive sampling techniques. Data was directly observed by field and Internet surveys at sample universities by structured questionnaires. The research included respondents based on their use of ChatGPT. Information related to ChatGPT was collected from 400 respondents from the science and management faculty. This application was only used by 280 responders, however; therefore, these 280 replies were examined to reach a decision. Data was entered into the SPSS and AMOS software for structural equation modelling. The measurement and structural model was found to be reliable and valid. According to the study, 54.3 per cent of users felt ChatGPT was crucial and 53.9 per cent of users believed it provided reliable information; however, 47.1 per cent of respondents said it is neither secure nor unsafe and 71.4 per cent said ChatGPT has an advantageous effect on users’ performance. ChatGPT is used by 42.9 per cent of users for help, mostly to find answers to questions. The environment and conduct of users of facilities are significantly influenced by performance expectations. The relationship between the performance expectations of teachers and students toward ChatGPT and their behaviour is also mediated by the facility circumstances.

Keywords: artificial intelligence; AI; generative pre-trained transformer; GPT; ChatGPT; learning; technology acceptance model; TAM; teaching (search for similar items in EconPapers)
JEL-codes: G2 M15 (search for similar items in EconPapers)
Date: 2023
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