Shah, Masoomi Hifazat Ali and Dharejo, Nasrullah and Mahar, Zafar Ali and Nazeer, Muhammad Irshad and Khoso, Ikhtiar Ahmed and Shah, Asadullah (2024) Significant predictors influencing the adoption of ChatGPT usage in the academia in Sindh, Pakistan: extension of UTAUT model. Pegem Journal of Education and Instruction, 14 (4). pp. 135-145. ISSN 2146-0655 E-ISSN 2148-239X
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Abstract
The innovative ChatGPT AI-based application is considered a supplemental tool for learners to assist and guide broader academic information and research opportunities in various domains. This study uses the modified UTAUT model to investigate the significant predictors influencing the learners’ intention to adopt ChatGPT in academia in Sindh, Pakistan. The learners’ intention to adopt the ChatGPT tool is assessed based on significant predictors such as DS, HCI, PE, EE, SI, and FC as key indicators influencing the ChatGPT adoption. The research model and suggested hypotheses were addressed using a quantitative technique. Data gathered from 497 respondents as learners from top-ranked public institutions in Sindh, Pakistan, was examined using the PLS-SEM approach. This research found that all significant predictors influencing learners’ intention to adopt the ChatGPT tool and all predictors have a more significant impact. This research study can help administration and IT experts incorporate the skills and techniques associated with the ChatGPT tool in education in Sindh, Pakistan.
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | Significant predictors, ChatGPT usage, Academia, UTAUT model, Pakistan |
| Subjects: | T Technology > T Technology (General) > T10.5 Communication of technical information |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology |
| Depositing User: | Prof Asadullah Shah |
| Date Deposited: | 05 Jul 2024 10:10 |
| Last Modified: | 05 Jul 2024 10:12 |
| URI: | http://irep.iium.edu.my/id/eprint/112951 |
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