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An Empirical Evidence on the Continuance and Recommendation Intention of ChatGPT among Higher Education Students in India: An Extended Technology Continuance Theory
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Ravi Sankar Pasupuleti; Deepthi Thiyyagura – Education and Information Technologies, 2024
The aim of this research is to discover the continuance and recommendation intention of higher education students who are using ChatGPT. Specifically, we proposed an extend technology continuance theory (TCT) by integrating the recommendation intention. A structured Google form is used to collect the data from the higher education students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Intention
Does Perceived Organisational Support Reduce Academicians Turnover Intention? A Mediating Role of Perceived Values of Artificial Intelligence
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M. Dinesh Babu; Bijay Prasad Kushwaha – International Journal of Learning and Change, 2024
The objective of the study is to investigate the impact of perceived organisational support (POS) on the turnover intention of academicians. Additionally, it explores the potential mediating role of perceived values of artificial intelligence (PVAI) in the relationship between POS and turnover intention among teaching faculty members in private…
Descriptors: Teacher Attitudes, Teacher Persistence, Labor Turnover, College Faculty
Transformative Learning with ChatGPT: Analyzing Adoption Trends and Implications for Business Management Students in India
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Tapas Sudan; Arjun Hans; Rashi Taggar – Interactive Technology and Smart Education, 2024
Purpose: The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT. Design/methodology/approach: While evaluating…
Descriptors: Transformative Learning, Technology Uses in Education, Artificial Intelligence, Computer Software
Gen-AI Integration in Higher Education: Predicting Intentions Using SEM-ANN Approach
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K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
AI Chatbot Adoption in Academia: Task Fit, Usefulness, and Collegial Ties
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Vishal Soodan; Avinash Rana; Anurag Jain; Deeksha Sharma – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This mixed-methods study aims to examine factors influencing academicians' intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics. Background: AI-powered chatbots are gaining popularity across industries, including academia. However, empirical research on…
Descriptors: Artificial Intelligence, Social Networks, College Faculty, Computer Software