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Xin 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
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Irum Alvi; Hager Khechine – Journal of Computer Assisted Learning, 2025
Background: Collaborative learning, which emphasises cooperative group techniques, intersects with the evolving role of social media as a tool. Understanding how cultural values influence these dynamics is crucial for effectively integrating and utilising social media into collaborative learning environments. Objective: This research aims to…
Descriptors: Foreign Countries, College Students, Student Attitudes, Engineering Education
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Marco Rüth; Maria Jansen; Kai Kaspar – Journal of Computer Assisted Learning, 2024
Background: Online exams have become a more common form of assessment at universities due to the COVID-19 pandemic. However, cheating behaviour in online exams is widespread and threatens exam validity as well as student learning and well-being. Objective: To better understand the role of university students' needs, conceptions and reasons…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Cheating
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Menabò, Laura; Sansavini, Alessandra; Brighi, Antonella; Skrzypiec, Grace; Guarini, Annalisa – Journal of Computer Assisted Learning, 2021
Background: The rapid spread of COVID-19 forced many countries to adopt severe containment measures, transferring all didactic activities into virtual environments. However, the integration of technology in teaching may present difficulties, especially in some countries, such as Italy. Objectives: The present study analyzed how the two main…
Descriptors: Technology Integration, Intention, Adoption (Ideas), Electronic Learning
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Dindar, Muhterem; Suorsa, Anna; Hermes, Jan; Karppinen, Pasi; Näykki, Piia – Journal of Computer Assisted Learning, 2021
COVID-19 pandemic has caused a massive transformation in K-12 settings towards online education. It is important to explore the factors that facilitate online teaching technology adoption of teachers during the pandemic. The aim of this study was to compare Learning Management System (LMS) acceptance of Finnish K-12 teachers who have been using a…
Descriptors: Technology Integration, Elementary School Teachers, Secondary School Teachers, Expectation
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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
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Ma, Will Wai-kit; Andersson, Robert; Streith, Karl-Oslar – Journal of Computer Assisted Learning, 2005
The use of computer technology in schools has made slow progress since the mid-1980s even though governments have been generous in funding. It is therefore important to understand how and when teachers use computer technology in order to devise implementation strategies to encourage them. This study investigates student teachers' perceptions of…
Descriptors: Foreign Countries, Intention, Student Teachers, Educational Technology