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Ove E. Hatlevik; Vibeke Bjarnø – Journal of Computer Assisted Learning, 2024
Background: With the rapid advancement of digital technology, student teachers must be proficient in evaluating digital information, resilient to digital distractions, and able to discern the usefulness of Information and Communication Technology. Objectives: This study investigates the relationships between these concepts at two points in time.…
Descriptors: Educational Technology, Preservice Teachers, Attention, Foreign Countries
Zhicheng Dai; Ling Wang; Xian Peng; Liang Zhao; Junxia Xiong – Journal of Computer Assisted Learning, 2024
Background: Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education. Objectives: To assess students' satisfaction with smart classrooms in higher education, this study proposed…
Descriptors: Student Satisfaction, Classroom Environment, College Students, Educational Technology
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
Edwards, Ordene V. – Journal of Computer Assisted Learning, 2021
This study examines the influence of perceived social presence on online graduate students' value and expectancy beliefs. Forty-nine participants enrolled in an online teacher leadership graduate program completed questionnaires that measured perceived social presence and value and expectancy beliefs. A series of simple linear regression analyses…
Descriptors: Context Effect, Social Environment, Value Judgment, Expectation
Artino, A. R. – Journal of Computer Assisted Learning, 2008
Many would agree that learning on the Web--a highly autonomous learning environment--may be difficult for individuals who lack motivation and self-regulated learning skills. Using a social cognitive view of academic motivation and self-regulation, the objective of the present study was to investigate the relations between students' motivational…
Descriptors: Self Efficacy, Online Courses, Student Motivation, Educational Environment