Data Literacy and Teacher Candidate Decision Making

ID: 51934 Type: Brief Paper
  1. Jason Trumble, University of Central ArkansasCollege of Education, United States
  2. Donna Wake, Deborah Dailey, and Michael Mills, University of Central Arkansas, United States

Thursday, March 29 3:00-3:20 PM Location: Banneker View on map

Presider: Kathleen Vigil, Marist College, United States

Abstract: This presentation reports on a quasi-experimental study focused on practical data driven decision making and data literacy for undergraduate teacher candidates The purpose of this study is to describe how one college of education supports candidates’ data literacy through access to technology-supported options available in a local state context Additionally, this study reports the results of student competencies and perceptions in relation to making data driven decisions when using software supported by the local state at the district and school levels

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