Type

Conference Proceedings

Authors

Alan F. Smeaton
Philip Scanlon

Subjects

Education

Topics
information retrieval early intervention peer group peer effects machine learning university educational technology influence

Predicting peer group effects on University exam results (2015)

Abstract There has been a multitude of studies and research papers in the areas of the influence on an individual, of the heterogeneous groups to which they become members. Manski [1] addresses the concept of “Reflection” (influence) within the group dynamic. His research found that inference of influence is only possible if additional information about the subjects making up the group is known. Using anonymised campus wifi access logs collected by the Eduroam system it is the intention of this research to identify interaction of students and thus identify group members. Once a group’s members have been identified additional academic, social and environmental information will be used to identify students whose academic studies could benefit from early stage intervention.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval
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, Philip Scanlon

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 492
 
2
Philip Scanlon
Dublin City University
Total Publications: 7