Open Universiteit
   About DSpace Software Open Universiteit border=

DSpace at Open Universiteit >
a. Learning Networks & Learning Design >
1. LN: Publications and Preprints >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/4129

Title: Exploring social recommenders for teacher networks to address challenges of starting teachers
Authors: Fazeli, Soude
Brouns, Francis
Drachsler, Hendrik
Sloep, Peter
Keywords: starting teachers
induction
Learning Network
Recommender system
Issue Date: 7-Feb-2012
Abstract: The lack of a proper induction and organizational socialization is seen as one of the main reasons for beginning employees to leave the profession after a few years. It seems especially problematic for professions such as teaching. Teachers work in contexts that do not allow frequent and intense observations and interaction with others who could provide meaningful information and act as exemplars of good practice. Recently graduated teachers experience their first job as extremely challenging and they typically lack social support during their induction period. Teachers look for mentors and colleagues they can trust and discuss their problems with rather than content expert. Comprehensive induction programmes are characterised by accessing to good mentors, having relationships to and with peers, and professional development. Learning Networks, as online social networks designed to support professional development can fill this gap by offering an informal social support structure for professional development. They can improve the quality of the induction of starting teachers by providing means to share, exchange and acquire knowledge and experiences with other teachers. Not only can teachers find resources, moreover they get access to like-minded people with expertise and experience in the same domain. However, providing opportunities to meet like-minded people does not automatically result in the required social interactions for knowledge sharing. Therefore, we propose in this paper a social recommender that assists young teachers to find most suitable peers to address their problems. The social recommender is inspired by recommender systems from the e-commerce world that recommend most suitable content to a user. In this paper, we first analyse the problems that young teachers face during their induction phase. Second, we present online Learning Networks as a promising solution for the induction phase of starting teachers. Third, we evaluate promising recommendation approaches for the intended social recommender within the Learning Network, and we present some initial ideas on how to improve them to take into account the learner characteristics and also to meet the conditions of a Learning Network. Finally, we present a model and draw further conclusions for design and implementation of the Learning Network and the social recommender for starting teachers.
Description: Fazeli, S., Brouns, F., Drachsler, H., & Sloep, P. B. (2012). Exploring social recommenders for teacher networks to address challenges of starting teachers. In V. Hodgson, C. Jones, M. de Laat, D. McConnell, T. Ryberg, & P. Sloep (Eds.), Proceedings of the Eighth International Conference on Networked Learning 2012 (pp. 74-80). April, 2-4, 2012, Maastricht, The Netherlands.
URI: http://hdl.handle.net/1820/4129
ISBN: 978-1-86220-283-2
Appears in Collections:1. LN: Publications and Preprints

Files in This Item:

File Description SizeFormat
NLC2012_0043_20120120.pdf261.56 kBAdobe PDFView/Open
View Statistics

This item is licensed under a Creative Commons License
Creative Commons

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Copyright © 2003 - 2010 Open Universiteit - Feedback