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Straight Talk: Natural Language Processing Approaches to Characterizing Student Opportunities to Learn in Mathematics
Sat, April 11, 3:45 to 5:15pm PDT (3:45 to 5:15pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: 2nd Floor, Platinum ASession Type: Symposium
Abstract
This symposium explores innovative applications of computational methodologies and natural language processing (NLP) techniques to characterize student opportunity to learn in mathematics classrooms. The session spans four interrelated, empirical studies from a wide variety of contexts. Authors will present findings on a novel measure for teachers’ attributions to students’ mathematical ideas, math vocabulary usage among multilingual learners and its links to student belonging and engagement, teacher language and sentiment in relation to student diversity in German math classrooms, and the mathematical discourse practices of multilingual youth. The discussant, an expert on transformative mathematics instructional practice, will synthesize findings, foster interactive dialogue, and guide reflection on the implications and future use of computational methods for research on equity in mathematics education.
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Papers
Detecting Student Idea Attribution: A Computational Approach to Characterizing Equitable Teaching Practice - Jackie Ramos Draper, HARVARD GRAD SCHOOL OF ED; Jeannette Garcia Coppersmith, Harvard University; Bailey Buchanan, Harvard University; Heather C. Hill, Harvard University
Mapping Multilingual Students’ Mathematical Vocabulary Usage, Cognitive Engagement, and Belonging in Middle-Grades Math Classrooms - Bailey Buchanan, Harvard University; Jeannette Garcia Coppersmith, Harvard University
Teachers’ Language in Mathematics: A Question of Student Diversity - Hannah Kleen, DIPF | Leibniz Institute for Research and Information in Education; Katharina Wehking, University of Osnabrück; Patrick Schreyer, University of Kassel; Helene Zeeb, University of Erfurt
¿Por Qué No Los Dos? Multilingual Spanish Speaking Student Practices in Mathematics Classrooms - Liliana Santos-Deonizio, Stanford University; Jim Malamut, Stanford University