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Priya Saha; Md. Shakhawat Hossain; Nirmal Chandra Roy; Abdullah Al Masud; Ruhul Amin – On the Horizon, 2025
Purpose: This study aims to evaluate students' intention and actual use (AU) of artificial intelligence (AI) tools' to discover how the power of AI influences learning and academic success. Design/methodology/approach: This paper used the unified theory of acceptance and use of technology (UTAUT) to develop a structural equation model (SEM) and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Student Behavior
Marmat, Geeta – Higher Education, Skills and Work-based Learning, 2022
Purpose: The purpose of this paper is to understand business students' intention to behave ethically in general, and in particularly in the business context of a developing country, India. Design/methodology/approach: The paper surveyed 250 final semester MBA students from different business schools in Indore city of Madhya Pradesh in India. The…
Descriptors: Foreign Countries, Business Administration Education, Student Behavior, Intention
Rudhumbu, Norman – International Review of Research in Open and Distributed Learning, 2021
Technology-mediated distance education (TDE) has become part of the new normal in the range of teaching strategies used in universities in Zimbabwe. Contemporary literature abounds with studies that highlight challenges associated with access to education in universities, yet very little is highlighted about how TDE can be used to enhance access…
Descriptors: Graduate Students, Undergraduate Students, Intention, Persistence
Tarhini, Ali; Hone, Kate; Liu, Xiaohui; Tarhini, Takwa – Interactive Learning Environments, 2017
In this study, we examine the effects of individual-level culture on the adoption and acceptance of e-learning tools by students in Lebanon using a theoretical framework based on the Technology Acceptance Model (TAM). To overcome possible limitations of using TAM in developing countries, we extend TAM to include "subjective norms" (SN)…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Models

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