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Iddrisu Salifu; Francis Arthur; Bernard Yaw Sekyi Acquah; Ernest Opoku; Sharon Abam Nortey; Eric Boateng – Discover Education, 2025
This study based on an extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, examines factors influencing graduate students' behavioural intention towards adoption and actual use of generative artificial intelligence (GenAI). Using a cross-sectional data from 415 graduate students in Ghana, this study employed the partial…
Descriptors: Graduate Students, Technology Uses in Education, Artificial Intelligence, Foreign Countries
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
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Madina Bekturova; Saule Tulepova; Altnay Zhaitapova – Education and Information Technologies, 2025
The advancement of technologies has resulted in the boost of a popular chatbot software -- ChatGPT. It is ripe with potential, yet has introduced various challenges, especially in the world of education. This paper aims to explore how TEFL (Teaching English as a foreign language) students perceive the usefulness and ease of using ChatGPT in regard…
Descriptors: Foreign Countries, Predictor Variables, Second Language Learning, English (Second Language)
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Mohan Yang; Shiyan Jiang; Belle Li; Kristin Herman; Tian Luo; Shanan Chappell Moots; Nolan Lovett – British Journal of Educational Technology, 2025
Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of the digital divide. Providing access and practice is critical to bridge this divide and equip students with needed digital competencies. This mixed-methods study investigated how…
Descriptors: Nontraditional Students, Artificial Intelligence, Technology Uses in Education, Man Machine Systems