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Liu, Ran; Stamper, John; Davenport, Jodi; Crossley, Scott; McNamara, Danielle; Nzinga, Kalonji; Sherin, Bruce – Journal of Computer Assisted Learning, 2019
Increasingly, student work is being conducted on computers and online, producing vast amounts of learning-related data. The educational analytics fields have produced many insights about learning based solely on tutoring systems' automatically logged data, or "log data." But log data leave out important contextual information about the…
Descriptors: Data Analysis, Learning Experience, Context Effect, Recordkeeping
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Cohen, Anat; Soffer, Tal; Henderson, Michael – Journal of Computer Assisted Learning, 2022
Background: The rapid globalization along with the growing trend of openness and sharing approach enabled widespread of digital technologies all over the world. However, we can still find differences between countries in technology use and perceptions of usefulness for learning. Understanding students' use of educational technology and their…
Descriptors: Technology Uses in Education, Educational Technology, Electronic Learning, COVID-19
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Falloon, G. – Journal of Computer Assisted Learning, 2014
Since their introduction in 2010, much has been said and written about Apple's iPad (Apple Inc., Cupertino, CA, USA) and its potential to transform when and how students learn. Much of this hype has focused on attributes of the device such as its touch screen interface, light and portable form factor, easy-to-use operating system, and large…
Descriptors: Handheld Devices, Educational Technology, Technology Uses in Education, Video Technology