Factors Determining the Balance between Online and Face-to-Face Teaching: An Analysis using Actor-Network Theory

Full text for this resource is not available from the Research Repository.

Wong, Lily and Tatnall, Arthur (2010) Factors Determining the Balance between Online and Face-to-Face Teaching: An Analysis using Actor-Network Theory. Interdisciplinary Journal of Information, Knowledge, and Management, 5. pp. 167-176. ISSN 1555-1229 (print) 1555-1237 (online)

Abstract

Many universities, and other higher education institutions, have adopted an approach to teaching and the delivery of course content that combines traditional face-to-face delivery with online teaching resources: a blended learning approach. It does not follow, however, that merely defining a policy in this area will cause the desired result, as first the new ideas have to be adopted by all those involved. Many factors act to determine how online learning is accepted and how the balance between online and face-to-face delivery is formed. This paper investigates the factors that determine the way that online resources have been implemented in a core first-year accounting subject. The approach used is one involving actor-network theory because of the combinations of both human and non-human actors involved. In this paper, the main actors are identified, and we look at how their views of the value of each approach and their willingness to attempt to convince others of the ‘‘rightness” of these views affects the outcome.

Item type Article
URI https://vuir.vu.edu.au/id/eprint/7312
Official URL http://www.informingscience.us/icarus/journals/iji...
Subjects Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems
Historical > FOR Classification > 0806 Information Systems
Historical > SEO Classification > 9302 Teaching and Instruction
Keywords ResPubID20564, blended learning, innovation, introductory accounting, university policy, actor-network theory
Citations in Scopus 6 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login