• sudha jahnavi jaligam

This dissertation is intended to discover how the OpenAI technology is accepted and used by educational community. With artificially intelligent tools becoming more and more frequent in many areas, including education, and being able to change the said area drastically, the implications of their implementation should be found out. A research approach that covers primary and secondary research was used within the study to determine effects of performance expectancy, effort expectancy, social influence, facilitating conditions, on users' acceptance and adoption towards OpenAI integration. Through the analysis of these factors, it is the purpose of this investigation to provide inputs for institutions on how to optimize the deployment of OpenAI which has the potential for the educational system. The factor analysis revealed that the acceptance and adoption of Open AI in educational settings were influenced by multifaceted factors including usability, engagement, social influence, technical compatibility, and infrastructure. Addressing these dimensions was crucial for enhancing Open AI integration and effectiveness in education, promising a more adaptive and engaging learning environment.

Open AI Adoption, Educational Technology Integration, User Acceptance Factors, Online Learning Enhancement, Technological Usability and Compatibility.

"Exploring user acceptance and adoption of open AI in educational setting ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c456-c473, April-2024, Available :http://www.jetir.org/papers/JETIR2404253.pdf

"Exploring user acceptance and adoption of open AI in educational setting ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc456-c473, April-2024, Available at : http://www.jetir.org/papers/JETIR2404253.pdf