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Identifying the impact of friends on their peers academic performance

Scanlon, Philip and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2016) Identifying the impact of friends on their peers academic performance. In: The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 18 Aug 2016, San Francisco, CA..

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Abstract

Historically data collection in the research pro- cess involves either surveys, interviews or observation, or any combination of all three. Recent developments in the area of formative educational methods have enabled other data collection options. Data sources now available include logs from University Virtual Learning Environments (VLEs), E-learning and many other knowledge management systems. Datasets harvested from these sources are less susceptible to the inherent biases intro- duced through the intervention of human interpretation. Data is often structured, complete and traceable. The research in this paper aims to utilise one of these unique digital datasets which represents the footprints created by student activities within a university environment and through Social Network Analysis to identify their influences within peer groups.

Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:No
Uncontrolled Keywords:Data analytics
Subjects:Social Sciences > Education
Social Sciences > Sociology
Computer Science > Machine learning
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:21287
Deposited On:26 Jul 2016 12:55 by Philip Scanlon . Last Modified 31 Oct 2018 11:38

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