Title
A Study of the Predictive Relationships Between Faculty Engagement, Learner Satisfaction and Outcomes in Multiple Learning Delivery Modes
Abstract
The confluence of technology convergence, market forces, and student demand for greater access is reshaping higher education institutions. Indeed, the convergence of technological innovations in hardware, software, and telecommunications, combined with the ubiquity of learning management systems, is reconfiguring and strengthening traditional teaching and learning delivery modes Amirault & Visser, 2009; Harasim, 2006; Laurillard, 2008. In the current context, one in which universities are forced to adapt, rethink, and even reinvent themselves, the traditional lines between distance education DE and face-to-face teaching and learning are becoming progressively blurred, particularly since the dramatic rise of online and blended or hybrid learning Means, Toyama, Murphy, Bakia, & Jones, 2009; Parsad & Lewis, 2008. This structural transformation is progressively redefining the concept of faculty's presence and their ability to interact and engage learners. The traditional model of teaching and learning with its heavy reliance on teacher presence is being augmented with various tools and technologies Abdous & Yen, 2010. Additionally, student engagement and its corollary, interaction, have been closely linked to desirable learning outcomes, including academic achievement, critical thinking, and grades Handelsman, Briggs, Sullivan, & Towler, 2005; Pascarella & Terenzini, 2005; Carini, Kuh, & Klein, 2006.
Year
DOI
Venue
2011
10.4018/jdet.2011100105
IJDET
Keywords
Field
DocType
traditional teaching,student satisfaction,learning delivery mode,teacher presence,faculty engagement,distance education de,higher education institution,faculty engagement score,traditional line,final grade,student engagement,desirable learning outcome,better course,face-to-face teaching,learning delivery mode group,student demand,multiple learning delivery mode,traditional model,predictive relationships,learner satisfaction,predictive relationship,multiple learning delivery modes,correlation,electronic learning,ordinal regression,probability,blended learning,educational technology,synchronous communication,comparative analysis,higher education,distance education,telecommunications
Computer-Assisted Instruction,Medical education,Educational technology,Computer science,Knowledge management,Distance education,Ordinal regression,Mathematics education,Satellite broadcasting,Blended learning,Higher education,Student learning
Journal
Volume
Issue
Citations 
9
4
1
PageRank 
References 
Authors
0.37
7
2
Name
Order
Citations
PageRank
M'hammed Abdous1917.56
Cherng-Jyh Yen2495.61