Openly accessible

Modelling engineering student academic performance using academic analytics

Palmer, Stuart 2013, Modelling engineering student academic performance using academic analytics, International journal of engineering education, vol. 29, no. 1, pp. 132-138.

Attached Files
Name Description MIMEType Size Downloads
palmer-modellingengineering-2013.pdf Published version application/pdf 91.76KB 62

Title Modelling engineering student academic performance using academic analytics
Author(s) Palmer, Stuart
Journal name International journal of engineering education
Volume number 29
Issue number 1
Start page 132
End page 138
Total pages 7
Publisher Dublin Institute of Technology : Tempus Publications
Place of publication Dublin, Ireland
Publication date 2013
ISSN 0949-149X
Keyword(s) academic analytics
student academic performance
engineering education
binary logistic regression
Summary Internationally, the recruitment, management and retention of students has become a high priority for universities. The use of information technology systems and student data by institutions to understand and improve student academic performance is often referred to as ‘academic analytics’. This paper presents an academic analytics investigation into the modelling of academic performance of engineering students enrolled in a second-year class. The modelling method used was binary logistic regression, and the target predicted variable was ‘success status’—defined as those students from the total originally enrolled group that achieved a final unit grade of pass or better. This paper shows that student data stored in institutional systems can be used to predict student academic performance with reasonable accuracy, and it provides one methodology for achieving this. Importantly, significant predictor variables are identified that offer the ability to develop targeted interventions to improve student success and retention outcomes.
Language eng
Field of Research 130212 Science, Technology and Engineering Curriculum and Pedagogy
Socio Economic Objective 930502 Management of Education and Training Systems
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2013, Dublin Institute of Technology : Tempus Publications
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051021

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Google Scholar Search Google Scholar
Access Statistics: 495 Abstract Views, 62 File Downloads  -  Detailed Statistics
Created: Wed, 06 Mar 2013, 12:42:24 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.