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Thibault Coppe – Teachers and Teaching: Theory and Practice, 2024
Thirteen years after the publication of the book "Social Network Theory and Educational Change," what can we say about the evolution of research connecting social network theory and analysis with teacher professional development? In this evolution, we can witness a conceptual shift in the literature connecting teacher professional…
Descriptors: Social Networks, Faculty Development, Network Analysis, Communities of Practice
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Emma Rowe – Journal of Education Policy, 2024
Teach for Australia was announced by the Australian Government in 2008, at a corporate dinner sponsored by Swiss multinational investment bank UBS, hosting New York Schools Chancellor Joel Klein. Conceptualising Teach for Australia as a polycentric policy network anchored in venture philanthropy, this paper examines how networks mobilise major…
Descriptors: Foreign Countries, Educational Policy, Public Policy, Network Analysis
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Rachel A. Smith; Vincent Tinto – Journal of College Student Retention: Research, Theory & Practice, 2024
Though higher education scholars have long known that undergraduate student engagement is associated with student persistence, they have yet to fully unravel its character and how it evolves over time. We argue that this is in part due to the individualistic, static ways engagement is measured even though scholars recognize it as a fundamentally…
Descriptors: Learner Engagement, Social Networks, Network Analysis, Peer Relationship
Nikoleta Giannoutsou – European Commission, 2024
This workshop brings together research on self-reflection tools and frameworks focusing on the development of digital skills and competences in Education. The workshop reported mainly on work about SELFIE and SELFIEforTEACHERS two self-reflection tools developed by JRC in collaboration with DG-EAC. The aim of this workshop was to compile the…
Descriptors: Technological Literacy, Competence, Reflection, Educational Policy
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Giuseppe Arena; Joris Mulder; Roger Th. A. J. Leenders – Sociological Methods & Research, 2024
In relational event networks, the tendency for actors to interact with each other depends greatly on the past interactions between the actors in a social network. Both the volume of past interactions and the time that has elapsed since the past interactions affect the actors' decision-making to interact with other actors in the network. Recently…
Descriptors: Bayesian Statistics, Social Networks, Memory, Decision Making