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Direct linkXin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
Ranellucci, John; Rosenberg, Joshua M.; Poitras, Eric G. – Journal of Computer Assisted Learning, 2020
Understanding how prepared teachers are to use technology to enhance their teaching can assist researchers to support them better, yet the theoretical basis for understanding teachers' self-beliefs is in need of stronger empirical support. The first objective of this study was to replicate and extend prior research that empirically tested portions…
Descriptors: Preservice Teachers, Technology Uses in Education, Computer Attitudes, Adoption (Ideas)
Fluck, A.; Dowden, T. – Journal of Computer Assisted Learning, 2013
Few contemporary pre-service teachers would have completed their schooling with the extensive aid of computers. Yet, classroom use of information and communication technology (ICT) is now ubiquitous in much of the world. Today's pre-service teachers are the "cusp generation" who, at a unique moment in history, straddle the two worlds of…
Descriptors: Student Teacher Attitudes, Preservice Teachers, Attitude Measures, Educational Technology
