Abstract
This paper investigates the design, structure and results produced by several widely used international surveys of student engagement, with specific regard to their validity in the Computer Science (CS) context. Of particular interest is the way that different survey instruments measure the multi-dimensional concept of 'student engagement'. By comparing the performance of CS in several contexts, key issues emerge regarding the impact of instrument design on results, how these results should be interpreted and if these results can actually be used to improve course delivery. The results highlight the need for reliable instruments that produce a clear and accurate picture of student engagement in specific disciplines, such as CS. This may lead to the design of more appropriate engagement measures for the CS context which can facilitate a more effective evidence-based response to any significant issues that may exist. It may also allow a more positive view to emerge of CS than is portrayed by current indicators.
| Original language | English |
|---|---|
| Title of host publication | Eighteenth Australasian Computing Education Conference, Canberra, Australia, 2-5 February 2016 |
| Subtitle of host publication | [part of the] Australasian Computer Science Week (ACSW 2016) [proceedings] |
| Place of Publication | New York, NY |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 10 |
| ISBN (Electronic) | 9781450340427 |
| DOIs | |
| Publication status | Published - 1 Feb 2016 |
| Event | Australasian Computing Education Conference 2016 - Canberra, Australia Duration: 2 Feb 2016 → 5 Feb 2016 Conference number: 18th https://cs.adelaide.edu.au/~ace2016/ |
Conference
| Conference | Australasian Computing Education Conference 2016 |
|---|---|
| Abbreviated title | ACE 2016 |
| Country | Australia |
| City | Canberra |
| Period | 2/02/16 → 5/02/16 |
| Other | ACE is held in conjunction with Australasian Computer Science Week (ACSW). |
| Internet address |
Keywords
- Student experience
- CS
- International measures
Cite this
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Comparing international indicators of student engagement for computer science. / Butler, Matthew; Morgan, Michael; Sinclair, Jane; Kalvala, Sara.
Eighteenth Australasian Computing Education Conference, Canberra, Australia, 2-5 February 2016: [part of the] Australasian Computer Science Week (ACSW 2016) [proceedings]. New York, NY : Association for Computing Machinery (ACM), 2016. a6.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Comparing international indicators of student engagement for computer science
AU - Butler, Matthew
AU - Morgan, Michael
AU - Sinclair, Jane
AU - Kalvala, Sara
PY - 2016/2/1
Y1 - 2016/2/1
N2 - This paper investigates the design, structure and results produced by several widely used international surveys of student engagement, with specific regard to their validity in the Computer Science (CS) context. Of particular interest is the way that different survey instruments measure the multi-dimensional concept of 'student engagement'. By comparing the performance of CS in several contexts, key issues emerge regarding the impact of instrument design on results, how these results should be interpreted and if these results can actually be used to improve course delivery. The results highlight the need for reliable instruments that produce a clear and accurate picture of student engagement in specific disciplines, such as CS. This may lead to the design of more appropriate engagement measures for the CS context which can facilitate a more effective evidence-based response to any significant issues that may exist. It may also allow a more positive view to emerge of CS than is portrayed by current indicators.
AB - This paper investigates the design, structure and results produced by several widely used international surveys of student engagement, with specific regard to their validity in the Computer Science (CS) context. Of particular interest is the way that different survey instruments measure the multi-dimensional concept of 'student engagement'. By comparing the performance of CS in several contexts, key issues emerge regarding the impact of instrument design on results, how these results should be interpreted and if these results can actually be used to improve course delivery. The results highlight the need for reliable instruments that produce a clear and accurate picture of student engagement in specific disciplines, such as CS. This may lead to the design of more appropriate engagement measures for the CS context which can facilitate a more effective evidence-based response to any significant issues that may exist. It may also allow a more positive view to emerge of CS than is portrayed by current indicators.
KW - Student experience
KW - CS
KW - International measures
UR - http://www.scopus.com/inward/record.url?scp=84962501637&partnerID=8YFLogxK
U2 - 10.1145/2843043.2843065
DO - 10.1145/2843043.2843065
M3 - Conference Paper
AN - SCOPUS:84962501637
BT - Eighteenth Australasian Computing Education Conference, Canberra, Australia, 2-5 February 2016
PB - Association for Computing Machinery (ACM)
CY - New York, NY
ER -