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Direct linkSaunders, Fiona C.; Gale, Andrew W. – British Journal of Educational Technology, 2012
This paper investigates whether the selective use of technology can begin to overcome the challenge of large cohort teaching and deliver an enhanced student learning experience. It describes the initial development and evaluation of a campus-based management course taught to 270 third year engineering undergraduates at The University of…
Descriptors: Foreign Countries, Distance Education, Computer Assisted Instruction, Guidelines
Yang, Ya-Ting C.; Wu, Wan-Chi I. – Computers & Education, 2012
The purpose of this study was to explore the impact of Digital storytelling (DST) on the academic achievement, critical thinking, and learning motivation of senior high school students learning English as a foreign language. The one-year study adopted a pretest and posttest quasi-experimental design involving 110 10th grade students in two English…
Descriptors: Experimental Groups, Quasiexperimental Design, Academic Achievement, Predictor Variables
Rhine, Steve; Bailey, Mark – Journal of Technology and Teacher Education, 2011
In search of strategies for increasing their pre-service teachers' thoughtful engagement with content and in an effort to model connection between choice of technology and pedagogical goals, the authors utilized collaborative software during class time. Collaborative software allows all students to write simultaneously on a single collective…
Descriptors: Discussion, Blended Learning, Computer Software Evaluation, Video Technology
Download full textHu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
