Quality, viability and relevance: a strategic framework for evaluating the effectiveness of mixed-mode teaching and learning in an undergraduate biotechnology and biomedical science degree

Gray, K, Piva, T and Nicolettou, A 2004, 'Quality, viability and relevance: a strategic framework for evaluating the effectiveness of mixed-mode teaching and learning in an undergraduate biotechnology and biomedical science degree', Educational Media International, vol. 41, no. 3, pp. 219-229.


Document type: Journal Article
Collection: Journal Articles

Title Quality, viability and relevance: a strategic framework for evaluating the effectiveness of mixed-mode teaching and learning in an undergraduate biotechnology and biomedical science degree
Author(s) Gray, K
Piva, T
Nicolettou, A
Year 2004
Journal name Educational Media International
Volume number 41
Issue number 3
Start page 219
End page 229
Total pages 10
Publisher Taylor and Francis
Abstract RMIT is a major Australian university of technology based in central Melbourne with regional and international reach. It has made both online education and programme quality two central planks in its teaching and learning strategy in recent years. This paper proposes making the connection between these two strategic directions by working within a framework of programme quality assurance to evaluate the effectiveness of mixed mode teaching and learning. This paper undertakes a case study of evaluation-readiness in one RMIT degree programme - undergraduate biotechnology and biomedical science - in which implementation of the university's teaching and learning strategy has been a major focus. (A note on terminology: at RMIT, 'programme' describes a degree comprising a number of 'courses' usually studied over several years).
Subject Science, Technology and Engineering Curriculum and Pedagogy
DOI - identifier 10.1080/09523980410001680833
Copyright notice © 2004 International Council for Educational Media
ISSN 0952-3987
Versions
Version Filter Type
Altmetric details:
Access Statistics: 194 Abstract Views  -  Detailed Statistics
Created: Wed, 09 Dec 2009, 09:40:11 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us