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Session Type: Symposium
Many students struggle to learn mathematics. This difficulty can be exacerbated by the fact that mathematics instruction builds on itself—procedures and concepts taught early on are foundational to later mathematics. Along their schooling, students may form particular misunderstandings, sometimes referred to as misconceptions. More generally, learning mathematics is an errorful process. In this symposium, we explore the potential of using students’ errors to tailor instruction. We specifically investigate the patterns of students’ errors, including students experiencing widespread mathematics difficulty. We also explore whether intervention is effective at reducing the frequency of particular errors. By discussing common errors and potential interventions, our session will provide foundational knowledge for future research aimed at reducing these common errors and improving math learning.
Solving Equations in Grade 4: Common Errors and Implications - Danielle Lariviere, University of Texas at Austin; Sarah R. Powell, University of Texas at Austin
Learning from Mistakes: Word Problem-Solving Performance Patterns by Grade and in Response to Intervention - Maegan Colbert, Virginia Tech; Isabel Valdivia, Virginia Tech; Jisun Kim, Virginia Tech; Tamika L. McElveen, Miami University (OH); Sarah R. Powell, University of Texas at Austin; Amanda S Mayes, Delaware Department of Education; Ma Bernadette Andres Salgarino, Santa Clara County Office of Education; Sara Schmitt, University of Oregon; David J. Purpura, Purdue University; Caroline B. Hornburg, Virginia Tech
Solving Linear Equations: Identifying Common Errors in a Digital Learning Platform - Rebecca Adler, Vanderbilt University; Kelley Durkin, Vanderbilt University; Bethany Rittle-Johnson, Vanderbilt University
From Linear to Inverse Square: Students’ Difficulties with Mathematical Relationships in Virtual Science Investigations - Ellie R. Segan, Rutgers University; Amy E. Adair Midyett, Rutgers University; Janice D Gobert, Rutgers University; Michael Sao Pedro, Apprendis