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Machine Learning Approaches to Enhancing Learning Environments With Artificial Intelligence
Sun, April 27, 1:30 to 3:00pm MDT (1:30 to 3:00pm MDT), The Colorado Convention Center, Floor: Exhibit Hall Level, Exhibit Hall F - Poster SessionSession Type: Poster Session
Sub Unit
Papers
46. Healthcare Data Science, Artificial Intelligence, and Machine Learning: Exploring Context-Based Learning for High School Students (Poster 46) - Anushree D. Bopardikar, Technical Education Research Centers; Michael Patrick Cassidy, TERC; Angela Gardiner, TERC; Elizabeth Price, Aecern; Luk Hendrik, Aecern; Brandy Jackson, Aecern; Leo Anthony Celi, Massachusetts Institute of Technology; Kathryn Jessen Eller, EBEC
47. Classifying East Asian Mathematics Performers: A Machine Learning Approach (Poster 47) - Yimei Zhang, McGill University; Maria Cutumisu, McGill University
48. Integrating Artificial Intelligence Into a Digital Platform: A Machine Learning Rubric for Students’ Proportional Reasoning (Poster 48) - Alden Jack Edson, Michigan State University; Taren Going, Michigan State University; Sunyoung Park, Michigan State University; Leslie Bondaryk, The Concord Consortium
49. Predictive Insights into U.S. Students’ Mathematics Performance on PISA 2022 Using Machine Learning Models (Poster 49) - Li Zhu, University of Iowa; Hyesun You, University of Iowa; Minju Hong, Chung-Ang University; Zhenhan Fang, University of Iowa