Abstract
Given the crucial role played by universities in a knowledge-based society, understanding how and under what conditions online learning (OL) can improve access to graduate studies is of the highest importance to today’s growing global economy. Over the past decade, phenomenal advances have been made in the application of communication and information technologies to support student learning in higher education. Yet, in proportion to overall provision of higher education, the use of technology by faculty for graduate-level, online learning (OL) has been minimal, especially among regular faculty. In this session, Norm Vaughan and Michael Power present an adapted form of OL, especially designed for traditional universities, with initial data from studies underway in two Canadian universities. Finally, an emerging network of researchers interested in the role of online learning within mainstream higher education is presented.
Highlights
Online Learning (24/7, anywhere, anytime version): even lower faculty buy-in due to time- and effort-consuming front-end design requirements and low motivation re delivery;
Which type of Distance Education or Online Learning is most prevalent at your university/college?
“I can participate in graduate courses from the comfort of my home without the hassle and stress of commuting to campus”
Summary
Online Learning (24/7, anywhere, anytime version): even lower faculty buy-in due to time- and effort-consuming front-end design requirements and low motivation re delivery;. Blended Online Learning Design: Shaken not Stirred Where are regular (fulltime) faculty in Online Learning? Blended Learning: does not even address the needs of the off-campus/out-of-province, outof-country students. ...is the simultaneous and complimentary integration and implementation of an asynchronous -mode learning environment (i.e. a course management system, or CMS) and a synchronous desktop conferencing environment” (i.e. a virtual classroom).
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More From: The International Review of Research in Open and Distributed Learning
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