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Dear Socnetters,
Please consider the Call for Papers below.
Best wishes,
Marc Sarazin, Dominik Fröhlich, Martin Rehm
Call for Papers: EUSN Networks for Learning organised session
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:
- · The importance of social networks for the social and learning
environments of students (Heidler et al., 2014) and educational
professionals (e.g. teachers) (e.g. Rehm & Notten, 2016a,b)
- Theoretical processes underlying social networks, as well as the
antecedents and consequences of networks (e.g. Rehm, 2016)
- Discussions of the particularities of educational settings from a
social network perspective
- Methodological innovations for studying social networks in learning
and education (e.g. algorithms to describe and explain social and learning
environments, combinations of different methodological approaches (e.g.
Domínguez & Hollstein, 2014; Froehlich, 2016), etc.).
- Social networks of educational policy-makers (e.g. Ball & Junemann,
2012, Rhodes, 2000)
- Other topics within the above remit
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.
Abstract Submission Guidelines
1. Visit http://www.eusn2017.uni-mainz.de/abstract-submission/ <
http://www.eusn2017.uni-mainz.de/abstract-submission/>
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:
- State the title of your presentation and select the Networks for
Learning Session. You can find a description of all sessions at
http://www.eusn2017.uni-mainz.de/calls/
<http://www.eusn2017.uni-mainz.de/calls/>
<http://www.eusn2017.uni-mainz.de/calls/>
- Insert an abstract of max. 500 words. All abstracts (and
presentations) must be in English.
- State the full name, institution and contact information of all authors
*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.
All Session organisers:
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
Marc Sarazin
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DPhil (PhD) Candidate in Education
University of Oxford
Wolfson College
Web <http://www.education.ox.ac.uk/about-us/directory/marc-sarazin/> |
LinkedIn
<http://uk.linkedin.com/in/marcsarazin>
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