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This session focuses on papers that use social network analysis to understand how individuals involved in activities related to education and learning (pupils, students, teachers, school management, policy makers etc.) are affected by or use their social networks for educational purposes or in educational settings. The session’s papers will build on the assumption that actors are embedded within social networks which provide opportunities and constraints, in turn affecting individuals’ behaviours and attitudes (Monge & Contractor, 2003, Emirbayer & Goodwin, 1994 Borgatti & Halgin, 2011). Within this framework, the session welcomes papers that seek to make empirical, methodological and/or theoretical contributions to understandings of social networks in learning and education. These could include papers on:
Contributions from all fields (Education, Sociology, Computational Social Science, Psychology, Organisation Science, Anthropology, Statistics, etc.) are welcome, including interdisciplinary endeavours combining insights from educational or learning sciences with social network perspectives. The session welcomes research using qualitative, quantitative, and mixed methods.
1. Visit http://www.eusn2017.uni-mainz.
2. Register via the CONVERIA conference management tool ("sign up for an account", if you don´t have one) and log in.
3. Click on the "New submission" link and fill out the form. Make sure you enter all required information:
Abstract submissions are due by March 31. After this date, no abstracts will be accepted. You will receive a receipt of your submission by e-mail. Please note that only allow two submissions per person are allowed.
Marc Sarazin, Department of Education, University of Oxford
Martin Rehm, Learning Lab, University Duisburg-Essen & UNU-MERIT, Maastricht University
Dominik E. Froehlich, Department of Education, University of Vienna