Utilizing Natural Language Processing to Analyze Preservice Science Teachers' Reflections of Their Teaching Enactments

• In Event: Moscone Center West Roundtable Session 3
  In Roundtable Session: Collaboration and Activism in Teacher Preparation and Practice

Abstract

Professional vision, i.e., the ability to reason about noticed classroom events is considered a crucial skill for expert teachers in science subjects. In order to facilitate pre-service science teachers’ professional vision, in the present study we adopted and utilized a process model for reflection to examine written reflections of pre-service science teachers’ teaching enactments in a teaching internship. Based on this model, we implemented methods of automatic text classification as a means to systematically analyze pre-service science teachers’ written reflections. The results of this study indicate that automatic text classification methods are able to automatically classify the elements of written reflections and thus possess potential for implementing systems that facilitate the development of professional vision, e.g., through automated feedback.

Authors

• Peter Wulff, University of Education - Heidelberg

• Anna Nowak, University of Potsdam

• Lisa Becker, University of Potsdam

• David Buschhüter, University of Potsdam

• Hugo Robalino, University of Potsdam

• Andrea Westphal, University of Potsdam, Germany

• Manfred Stede, University of Potsdam

• Andreas Borowski, University of Potsdam