Seachange: Design of online quiz questions to foster deep learning

Title
Seachange: Design of online quiz questions to foster deep learning
Publication Date
2002
Author(s)
Reid, Nicholas John
( author )
OrcID: https://orcid.org/0000-0003-1055-1458
Email: nreid@une.edu.au
UNE Id une-id:nreid
McLoughlin, C
Editor
Editor(s): Andy Williamson, Cathy Gunn, Alison Young, Tony Clear
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
UNITEC Institute of Technology
Place of publication
Auckland, New Zealand
UNE publication id
une:2396
Abstract
The design of different types of quiz question will influence the extent to which formative and summative feedback is presented to students. Typically, quiz questions are considered limited in their capacity to assess higher order cognitive skills. This paper extends the notion of online quiz design by presenting examples in a WebCT learning environment in order to demonstrate a formative approach to assessment, closely integrated with learning processes. A matrix of questions is presented using Bloom’s taxonomy showing the type of question, pedagogical underpinnings and cognitive skills required. The implications of this type of question design is that automated quiz type questions do not necessarily imply a narrow focus on recall, but may assess a range of learning processes.
Link
Citation
Winds of Changing in the Sea of Learning, Proceedings of the 19th Annual Conference of the Australian Society for Computers in Tertiary Education (ASCILITE), p. 843-846
ISBN
0473091194
Start page
843
End page
846

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