Invited Session for Graduate Student Research on Data-Driven Decision Making

Session Type: Virtual Symposium

Abstract

This invited session highlights the research of the graduate student members of the Data-driven Decision Making in Education SIG. The papers comprising the session explore new and under examined areas in the field of data use and investigate how student learning data is generated and influenced by instructional technologies, classroom context and teacher decision-making.

Sub Unit

• SIG-Data-Driven Decision Making in Education

Chair

• Kara Lasater, University of Arkansas at Fayetteville

Papers

• Investigating Graduate Students' Perceptions of Classroom Participation: A Survey Study at a U.S. Midwestern University - Ning Guo, Xi'an University of Architecture and Technology

Discussant

• Divya Varier, George Mason University