Type

Journal Article

Authors

Alan F. Smeaton
I-Han Hsiao
David Azcona

Subjects

Education

Topics
educational data mining education machine learning predictive modelling computer science education educational technology learning analytics peer learning

Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints (2019)

Abstract Different sources of data about students, ranging from static demographics to dynamic behavior logs, can be harnessed from a variety sources at Higher Education Institutions. Combining these assembles a rich digital footprint for students, which can enable institutions to better understand student behaviour and to better prepare for guiding students towards reaching their academic potential. This paper presents a new research methodology to automatically detect students ``at-risk'' of failing an assignment in computer programming modules (courses) and to simultaneously support adaptive feedback. By leveraging historical student data, we built predictive models using students' offline (static) information including student characteristics and demographics, and online (dynamic) resources using programming and behaviour activity logs. Predictions are generated weekly during semester. Overall, the predictive and personalised feedback helped to reduce the gap between the lower and higher-performing students. Furthermore, students praised the prediction and the personalised feedback, conveying strong recommendations for future students to use the system. We also found that students who followed their personalised guidance and recommendations performed better in examinations.
Collections Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Social Sciences
Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Social Sciences: Education
Ireland -> Dublin City University -> Subject = Social Sciences: Educational technology
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics

Full list of authors on original publication

Alan F. Smeaton, I-Han Hsiao, David Azcona

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 492
 
2
I-Han Hsiao
Dublin City University
Total Publications: 7
 
3
David Azcona
Dublin City University
Total Publications: 14