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Abstract Title: Teaching assistants’ interactions with their students: Examining methods for data analysis
Abstract: Teaching Assistants (TAs) have the ability to affect student learning through their interactions with students in ways professors cannot. Analyzing TA-student interactions and subsequent student responses can help us better understand this connection. Yet, when we examine these interactions and responses, we find a complex web of expressions from which we must derive meaning. Several tools have been developed that can assist us in this analysis. But many of these tools, by themselves, focus either too narrowly or too broadly on the data to give us a complete picture. We present one possible method of analysis that uses a combination of these tools to explore data at various grain sizes in an attempt to better describe the interactions and responses we see. We show preliminary analysis from the studio laboratory sections of the Matter and Interactions introductory mechanics course.
Abstract Type: Contributed Poster Presentation

Author/Organizer Information

Primary Contact: Meghan J Westlander
North Carolina State University
2401 Stinson Dr.
Raleigh, NC 27695