Designing a Conceptual Model: Predictors Influencing the Acceptance of ChatGPT Usage in the Academia of Underdeveloped Countries

Abstract

Technology education enables teachers and students to grasp a variety of academic resources related to online learning topics such as learning platforms, databases, and academic research. A broad educationalist uses ChatGPT, a recent AI-based application that guides and supports various academic topics and existing research information. The research communities examined and contributed to the literature that the teachers and students lack the adoption and usage of ChatGPT tool due to inadequate technology skills that can make ChatGPT usage difficult for teachers and students. On the other hand, ChatGPT responses can be sensitive to how a question is phrased, and how to use prompt input interaction that provides accurate answers is sometimes challenging. Therefore, this research aims to examine the considerable impact of these predictors and understand the users’ perceptions towards the adoption and acceptance of ChatGPT in academia. In this context, this study considers the amended UTAUT model by adding other external predictors by determining the users’ intention regarding the acceptance of ChatGPT in the academia of underdeveloped countries. A quantitative research method is used for collecting the data to validate the suggested hypotheses’ by developing a proposed research model to achieve research outcomes using SPSS and SmartPLS. The targeted participants for this study will be teachers and students from well-reputed public universities in the province of Sindh, Pakistan.

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