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Session Type: Symposium
Despite the proven importance of emotions to classroom processes, systems for teacher education rarely introduce frameworks, methodologies, measurement tools, or teaching strategies that explicitly center emotions. The objective of this session is to introduce evidence-based frameworks, methodological tools and approaches, and teaching strategies that explicitly address teachers’ and students’ mathematics emotions. In this session, six established mathematics education researchers will each present innovative resources informed by their respective lines of inquiry mathematics emotions. Presenters will feature new frameworks and measurement tools for understanding and capturing mathematics emotions, as well as teaching strategies that explicitly address mathematics emotions in real time as they unfold during learning opportunities. Presentations will focus on how resources can be effectively applied in research and classroom settings
The Emotionally Responsive Elementary Mathematics Model: A Framework for Understanding and Addressing Emotions in Mathematics Learning Opportunities - Leigh McLean, University of Delaware
A Set of Equitable Mathematics Teaching Practices That Respond to Students’ Emotions - Jonee Wilson, University of Virginia; Erica Litke, University of Delaware; Miriam Simone Leshin, University of Virginia; Samantha Akridge, University of Delaware
Building Mathematics Classroom Connectedness Through Dialogue - Jessica Pierson Bishop, Texas State University
Errorful Learning as Supports for Mathematics Learning & Motivation - Christina Areizaga Barbieri, University of Delaware; Elena Silla, University of Delaware
The Role of Emotional Validation in Math Classrooms - Gerardo Ramirez, Ball State University; Daeun Park, Sungkyunkwan University
Incorporating Rough Drafts and Revising into Mathematics Teaching to Support Students with Taking Intellectual Risks - Amanda Jansen, University of Delaware; Leigh McLean, University of Delaware; Christina Areizaga Barbieri, University of Delaware