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Cherner, Todd; Fegely, Alex – International Journal of Multicultural Education, 2018
In 1998, Suzanne Damarin put forward a call for technologists and multicultural educators to work together to create technologies that promote inclusiveness and equity for students. As significant technological advancements have happened along with major changes in educational policy over the past 20 years, this study set out to examine if…
Descriptors: Cultural Pluralism, Equal Education, Technological Advancement, Educational Policy
Bollens, Eric; Rocchio, Rosemary A.; Peterson, Jill Eleanor; Pollack, Brett; Tirpak, Lori; Ward, Christopher Matthew – EDUCAUSE, 2014
This paper is a publication of the EDUCAUSE Center for Analysis and Research (ECAR) Mobile Strategy and Application Development (MSAD) Working Group. In higher education, nearly every user interaction that takes place on a desktop or laptop browser is also attempted using phones, tablets, watches, and more. As students, faculty, and staff…
Descriptors: Web Sites, Computer System Design, Higher Education, Handheld Devices
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T.H.E. Journal, 2011
Students of every age have their own ideas about things...and they certainly have their own ideas about the best ways to learn. Project Tomorrow's annual Speak Up survey asked students from kindergarten through the 12th grade a simple question: "If you could create the ideal mobile app for learning, what would it look like?" Researchers received…
Descriptors: Design Preferences, Design Requirements, Computer System Design, Computer Oriented Programs
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Wang, Feihong – Journal of Educational Technology, 2010
Cell phone learning (C-learning), as an instructional approach, has been gaining more and more attention in the field of teaching English as a foreign language (EFL) in the last 10 years. While studies have proved C-learning an effective instructional approach in research settings, a review of literature indicates the lack of design principles to…
Descriptors: Educational Principles, Design Preferences, Handheld Devices, Electronic Learning