• Teachers in Social Media

Machine Learning and Teachers' Curation Online

Updated: Oct 26, 2017

"A journey of a thousand miles begins with a single step."

- 千里之行,始於足下 [Tao Te Ching]

Kaitlin Torphy presents work in China at the International Social Network Analysis Conference on examining scaling classification of instructional content accessed by teachers in social media.

Pinterest, VRP and facilitator of social networks and social capital within virtual spaces, has the potential to provide instructional resources and professional support to teachers, inform educational policy, and improve educational quality and equity. However, in an era of big data metrics, researchers must find meaningful approaches to characterize resources accessed and shared.

How do we leverage machine learning to characterize educational resources at scale within Pinterest—an-imaged based platform?

We ground our examination in how we conceptualize teachers’ behaviors within Pinterest.

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Research has been supported by the Defense Advanced Research Projects Agency, the Center for Business and Social Analytics at MSU, the National Science Foundation, and the William T. Grant Foundation under award numbers (NSF REAL– 1420532, WT Grant - 182764)

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