Can “Big Data” Tell the Whole Story about Teacher Quality?

Authors

Laura Kapitula, Grand Valley State University

Abstract

Can “Big Data” Tell the Whole Story about Teacher Quality? In this talk I will discuss the use of student test scores and value-added modeling in teacher evaluation systems. Using estimates from value-added models in high stakes decisions can have unintended consequences. Systems that use both “Big Data” and “little data” maybe better able to discriminate teacher quality than systems that rely on only student test scores for evaluation.

ScholarWorks Citation

Kapitula, Laura, "Can “Big Data” Tell the Whole Story about Teacher Quality?" (2013). 2013 Presentations. 15.
https://scholarworks.gvsu.edu/bigdata_conference2013/15