Open Access. Powered by Scholars. Published by Universities.®

Education Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Education

Digital Video Presentation And Student Performance: A Task Technology Fit Perspective, Arjan Raven, Elke M. Leeds, Chongwoo Park Jan 2010

Digital Video Presentation And Student Performance: A Task Technology Fit Perspective, Arjan Raven, Elke M. Leeds, Chongwoo Park

Faculty and Research Publications

The article presents findings of a study regarding the adaptation of the Task Technology Fit (TTF) model in the teaching and learning process in the U.S. It emphasizes the three dimensions of fit, which include the Ease of Learning, Task Match and Ease of Use, which were applied in the context of digital video for oral presentations in the classroom environment. It stresses the importance of the digital technology in education, wherein the results of the study showed significant improvements in the oral presentation skills with the application of digital tools.


Student Response Systems In Higher Education: Moving Beyond Linear Teaching And Surface Learning, Harry L. Dangel, Charles Xiaoxue Wang Nov 2008

Student Response Systems In Higher Education: Moving Beyond Linear Teaching And Surface Learning, Harry L. Dangel, Charles Xiaoxue Wang

Communication Sciences and Disorders Faculty Publications

Over the past decade, instructors in colleges and universities increasingly have used Student Response Systems (SRSs)--typically in large classes to increase the level of student engagement and learning. Research shows that both students and instructors perceive SRSs to be beneficial, although evidence of improved learning has been less clear. Experts emphasize that instructors must consider how technology might enhance good pedagogy in order for increases in learning to occur. SRSs do increase student engagement and provide prompt feedback—two key practices that promote learning. However, professional groups propose goals for students in higher education that focus on deep learning rather than …