Hive: crowdsourcing education data

  • Authors:

  • Neal Gibson;John Talburt

  • Affiliations:

  • University of Arkansas at Little Rock, Little Rock, AR;University of Arkansas at Little Rock, Little Rock, AR

  • Venue:
  • Journal of Computing Sciences in Colleges
  • Year:
  • 2010

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Abstract

Data Driven Decision Making is a well-worn mantra in education, best personified by the enormous amount of data created by the yearly student assessments of literacy, math, and science mandated by No Child Left Behind. The U.S. Department of Education has recently begun giving states grants to create longitudinal data systems. The purpose of these grants is to help states organize and present these data in meaningful ways so that they can be used to improve student achievement. However, little research has been done on best practices on how educators should use these data. The Arkansas Department of Education initiated a year-long study on data use by educators and, based on this research, has developed an interactive data visualization application that incorporates social networking tools which allow educators to collaborate on data analysis.