Developing and applying quantitative skills maps for STEM curricula, with a focus on different modes of learning

Title
Developing and applying quantitative skills maps for STEM curricula, with a focus on different modes of learning
Publication Date
2016
Author(s)
Reid, Jackie
( author )
OrcID: https://orcid.org/0000-0002-5193-3818
Email: jreid3@une.edu.au
UNE Id une-id:jreid3
Wilkes, Janelle
( author )
OrcID: https://orcid.org/0000-0002-2477-9528
Email: jwilkes2@une.edu.au
UNE Id une-id:jwilkes2
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Taylor & Francis
Place of publication
United Kingdom
DOI
10.1080/0020739x.2016.1144814
UNE publication id
une:19550
Abstract
Mapping quantitative skills across the science, technology, engineering and mathematics(STEM) curricula will help educators identify gaps and duplication in the teaching, practice and assessment of the necessary skills. This paper describes the development and implementation of quantitative skills mapping tools for courses in STEM at a regional university that offers both on-campus and distance modes of study. Key elements of the mapping project included the identification of key graduate quantitative skills, the development of curriculum mapping tools to record in which unit(s) and at what level of attainment each quantitative skill is taught, practised and assessed, and identification of differences in the way quantitative skills are developed for on-campus and distance students. Particular attention is given to the differences that are associated with intensive schools, which consist of concentrated periods of face-to-face learning over a three-four day period, and are available to distance education students enrolled in STEM units. The detailed quantitative skills mapping process has had an impact on the review of first-year mathematics units, resulted in crucial changes to the curriculum in a number of courses, and contributed to a more integrated approach, and a collective responsibility, to the development of students' quantitative skills for both face-to-face and online modes of learning.
Link
Citation
International Journal of Mathematical Education in Science and Technology, 47(6), p. 837-852
ISSN
1464-5211
0020-739X
Start page
837
End page
852

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