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Session Type: Symposium
Math anxiety (MA) refers to the unpleasant feelings of apprehension and worry when individuals anticipate or participate in math-related activities. Mounting evidence converges to show the detrimental influences of MA on math learning (Barroso et al., 2021). To design effective prevention and intervention for MA, it is critical to first understand how MA develops as well as what factors promote or inhibit its development. In addition, it is also important to understand mechanisms that prevent highly math-anxious students from optimal math learning. The proposed session includes five papers that address these exact questions using cross-sectional, longitudinal, and experimental approaches. Together, these studies expand our knowledge about the development, operating mechanisms, as well as effective treatments of MA.
Parental Educational Beliefs and Parenting Behaviors Predict the Development of Child Math Anxiety - Minchao Wang, Texas A&M University; Ruyu Yan, Texas A&M University; Anjali Chaudhary, Texas A&M University; Zhe Wang, Texas A&M University
Math Belonging and Anxiety: Longitudinal Associations Across High School - Piper Stanger, California Department of Education; Tianyu Li, Austin Peay State University; Sandra Graham, University of California - Los Angeles
Emotion Regulation Modulates the Association Between Math Anxiety and Attention Distribution During Math Problem Solving - Tianyu Li, Austin Peay State University; Anjali Chaudhary, Texas A&M University; Zhe Wang, Texas A&M University
Exploring Interventions for Math Anxiety in High School Math Classrooms - Rachel Pizzie, Gallaudet University; David J.M. Kraemer, Dartmouth College
Investigating the Effectiveness of a Math Interpretation Bias Intervention to Reduce Math Anxiety - Connie Barroso Garcia, Texas A&M University