An Analysis of Diffusion of Teacher-Curated Resources on Pinterest [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (16th, Bengaluru, India, Jul 11-14, 2023).

Autor/inn/en	Karimi, Hamid; Knake, Kaitlin Torphy; Frank, Kenneth A.
Titel	An Analysis of Diffusion of Teacher-Curated Resources on Pinterest [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (16th, Bengaluru, India, Jul 11-14, 2023).
Quelle	(2023), (12 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Preschool Teachers; Early Childhood Teachers; Elementary School Teachers; Secondary School Teachers; Educational Resources; Social Media; Selection; Sharing Behavior; Information Dissemination; Shared Resources and Services + Suchen Sie Ihr Suchwort? Pre-school education; Preschool education; Erzieher; Erzieherin; Kindergärtnerin; Vorschulerziehung; Vorschule; Early childhood; Early childhood education; Teacher; Teachers; Frühe Kindheit; Frühkindliche Bildung; Frühpädagogik; Lehrer; Lehrerin; Lehrende; Elementary school; Grundschule; Volksschule; Bildungsmittel; Soziale Medien; Auslese; Informationsverbreitung; Gemeinwirtschaft
Abstract	Teachers increasingly rely on online social media platforms to supplement their educational resources, greatly influencing PK-12 education through the swift and extensive diffusion of teacher-curated resources. Understanding this diffusion process is crucial, but current educational studies primarily report resource diffusion through small-scale analyses, such as teacher interviews or anecdotal accounts. To bridge this gap, we conduct a pioneering, large-scale, quantitative, and data-driven analysis of the diffusion of teacher-curated resources on Pinterest, a platform widely embraced by educators. Our study begins by defining a resource's diffusion tree, which encapsulates the cascade of resource sharing across the social network. Based on this diffusion tree, we identify three measures to characterize a resource's diffusion process: volume, virality, and velocity. Equipped with these three measures, we conduct an in-depth analysis of the diffusion of over one million resources curated by thousands of teachers on Pinterest. Our investigation concludes by examining the correlation between a resource's attributes and its curator's attributes and the diffusion of the resource. [For the complete proceedings, see ED630829.] (As Provided).
Anmerkungen	International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01