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Building Student Networks: Towards a Connectivist Analysis of Classroom Learning Environments PROCEEDINGS

, Pace University, United States

EdMedia: World Conference on Educational Media and Technology, in Montreal, Quebec, Canada ISBN 978-1-939797-16-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

This paper is a report on the findings of an action research study conducted in a middle school on eighth grade students who were participating in a blended, self-directed Biology course. Various types of data analysis techniques were performed in order to investigate the students' personal learning networks and how these were affected by this technology enhanced self-directed learning and a blended learning environment. Findings indicate that the students who performed better than expected in the class had the largest and most robust learning networks. The converse was also true; students who did less well than expected were shown to have small and less robust learning networks. This study develops a methodology for applying Connectivist learning theory to a blended learning environment.

Citation

Ardito, G. (2015). Building Student Networks: Towards a Connectivist Analysis of Classroom Learning Environments. In S. Carliner, C. Fulford & N. Ostashewski (Eds.), Proceedings of EdMedia 2015--World Conference on Educational Media and Technology (pp. 760-763). Montreal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved January 17, 2018 from .