Abstract
Quantitative skills are defined as "the ability to apply mathematical and statistical thinking and reasoning in context" (Rylands, Simbag, Matthews, Coady and Belward, 2013). The need for the development of quantitative skills in engineering is clearly articulated in the literature and is an element of competency, "1.2 Concept understanding of the mathematics, numerical analysis, statistics and computer and information sciences which underpin the technology domain" (Engineers Australia, 2013). A project mapping the quantitative skills (QS) taught, practiced and assessed in first year STEM courses at a regional institution for blended (on campus and distance) students was undertaken in 2014. In this paper we have presented the results for one course, the Bachelor of Engineering Technology (BET).
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 26th Annual Conference of the Australasian Association for Engineering Education |
| Editors | Aman Oo, Arun Patel, Tim Hilditch, Siva Chandran |
| Place of Publication | Melbourne, Australia |
| Publisher | Deakin University |
| Pages | 1-9 |
| ISBN (Print) | 9780730000419 |
| Publication status | Published - 2015 |
| Event | AAEE 2015: 26th Australasian Association for Engineering Education Annual Conference - Geelong, Australia Duration: 6 Dec 2015 → 9 Dec 2015 |
Conference
| Conference | AAEE 2015: 26th Australasian Association for Engineering Education Annual Conference |
|---|---|
| City | Geelong, Australia |
| Period | 6/12/15 → 9/12/15 |
Keywords
- Mathematics and Numeracy Curriculum and Pedagogy
- Science, Technology and Engineering Curriculum and Pedagogy
Fingerprint
Dive into the research topics of 'Mapping Quantitative Skills (QS) in First-year Engineering for on campus and distance students'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver