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Weipeng Yang; Xinyun Hu; Ibrahim H. Yeter; Jiahong Su; Yuqin Yang; John Chi-Kin Lee – Journal of Computer Assisted Learning, 2024
Background: Artificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children. Objectives: This study aimed to fill that gap by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Digital Literacy
Luo, Yi Fang; Yang, Shu Ching; Lu, Chia Mei – Journal of Computer Assisted Learning, 2021
Information technology provides the potential for polychronic learning. However, research on polychronicity in the educational field is scarce. The purposes of this study were to develop a multidimensional polychronicity scale for information technology learning and explore the relationship between polychronicity in information…
Descriptors: Information Technology, Measures (Individuals), Electronic Learning, Time Management
Blau, Ina; Shamir-Inbal, Tamar; Hadad, Shlomit – Journal of Computer Assisted Learning, 2020
The purpose of this study was to examine the influence of online collaborative learning experiences on students' digital collaboration skills and on the sustainability of e-collaboration in schools' culture--comparing individualistic versus collectivistic cultures. In addition, we explored how the leadership experience of schools' ICT coordinators…
Descriptors: Electronic Learning, Cooperative Learning, Individualism, Collectivism
Cox, M. J.; Niederhauser, D. S.; Castillo, N.; McDougall, A. B.; Sakamoto, T.; Roesvik, S. – Journal of Computer Assisted Learning, 2013
Many regions around the world are experiencing a gradual paradigm shift away from information technology (IT) use that complements traditional teaching and towards embedded IT use in E-learning that is ubiquitous and pervasive. This has been conceptualized in this article using a framework depicting the affects of these shifts on learning…
Descriptors: Information Technology, Electronic Learning, Trend Analysis, Learner Engagement
Uzunboylu, H.; Ozdamli, F. – Journal of Computer Assisted Learning, 2011
Successful integration of mobile learning (m-learning) technologies in education primarily demands that teachers' perception of such technologies should be determined. Therefore, the perceptions of teachers are of great significance. There is no available instrument that assesses teachers' perceptions of m-learning. Our research provided the first…
Descriptors: Electronic Learning, Feedback (Response), Test Validity, Measures (Individuals)
Cox, M.J. – Journal of Computer Assisted Learning, 2013
For the purpose of clarity and consistency, the term e-learning is used throughout the paper to refer to technology-enhanced learning and information technology (IT) in teaching and learning. IT depicts computing and other IT resources. Research into e-learning has changed in focus and breadth over the last four decades as a consequence of…
Descriptors: Electronic Learning, Influence of Technology, Educational Technology, Information Technology