Type

Conference Proceedings

Authors

Alan F. Smeaton
David Azcona

Subjects

Computer Science

Topics
artificial intelligence learning analytics prediction educational technology machine learning education computer programming computer science education

Targeting at-risk students using engagement and effort predictors in an introductory computer programming course (2017)

Abstract This paper presents a new approach to automatically detect- ing lower-performing or “at-risk” students on computer programming modules in an undergraduate University degree course. Using histori- cal data from previous student cohorts we built a predictive model using logged interactions between students and online resources, as well as stu- dents’ progress in programming laboratory work. Predictions were cal- culated each week during a 12-week semester. Course lecturers received student lists ranked by their probability of failing the next computer- based laboratory exam. At-risk students were targeted and offered assis- tance during laboratory sessions by the lecturer and laboratory tutors. When we group students into two cohorts depending on whether they failed or passed their first laboratory exam, the average margin of im- provement on the second laboratory exam between the higher and lower- performing students was four times higher when our predictions were run and subsequent laboratory support targeted at these students, compared to students from the year our model was trained on.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
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 = Computer Science: Artificial intelligence
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
Ireland -> Dublin City University -> Subject = Computer Science: Machine learning

Full list of authors on original publication

Alan F. Smeaton, David Azcona

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 475
 
2
David Azcona
Dublin City University
Total Publications: 11