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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
Daniels, Lia M.; Bulut, Okan – Journal of Computer Assisted Learning, 2020
In computer-based testing (CBT) environments instructors can provide students with feedback immediately. Commonly, instructors give students their percentage correct without additional descriptive feedback. Our objectives were (a) to compare students' perceived usefulness of a percentage-only score report vs. a descriptive feedback report in a CBT…
Descriptors: Computer Assisted Testing, Feedback (Response), Value Judgment, Student Attitudes
Seidenberg, Nina; Scheffel, Maren; Kovanovic, Vitomir; Lynch, Grace; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2021
Background: The COVID-19 outbreak came with an unprecedented opportunity to investigate how the new reality of social distancing and limited international travel will affect the organization of academic conferences. Objectives: Drawing on conceptualization of academic conferences as professional learning spaces, in this study, we examine the…
Descriptors: COVID-19, Pandemics, Conferences (Gatherings), Teleconferencing
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
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
Ma, Long; Lee, Chei Sian – Journal of Computer Assisted Learning, 2019
In spite of the potentials promised by MOOCs (massive open online courses), the adoption rate of MOOCs is still low, especially in developing countries. Research on the adoption of MOOCs in developing countries is also limited. To fill this research gap, this research aims to study the adoption of MOOCs by extending current research on innovation…
Descriptors: Educational Technology, Technology Uses in Education, Large Group Instruction, Online Courses
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