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Session Type: Structured Poster Session
Adoption of digital math tools has accelerated in the wake of the Covid-19 pandemic and as tools advance significantly in their technological sophistication and capability. Widespread adoption of AI and machine learning to support learning and instruction as well as new research methodologies leveraging large datasets promise to profoundly impact math instruction. Without deliberate attention to questions of equity, widespread adoption of digital instructional and research tools may compound long-standing racial and gender gaps in math learning. This interactive poster session features multiple researcher-practitioner partnerships, all part of a unique national Collaboratory, engaged in implementation research on digital strategies to close gaps in math learning and support the motivation, engagement and persistence of historically marginalized students.
Building Opportunities for Collaboration, Engagement and Belonging: Early Findings from a Digital Math Intervention (Poster 1) - Sara McAlister, New York University; Erika Abarca Millán, New York University; Anna Poole, New York City Department of Education
A.I. Math Personalization Tool (AMPT): Fostering Belonging through Personalized Math Content (Poster 2) - Steven Ritter, Carnegie Learning, Inc.; Kole Norberg, University of Pittsburgh; Ethan Shafran Moltz, Carnegie Learning, Inc.; Husni Almoubayyed, Carnegie Learning, Inc.; Logan De Ley, Carnegie Learning, Inc.; April Murphy, Carnegie Learning, Inc.; Stephen Edward Fancsali, Carnegie Learning, Inc.
Analyzing Math Learning Strategies at Scale using AI Representations (Poster 3) - Abisha Thapa Magar, University of Memphis; Stephen Edward Fancsali, Carnegie Learning, Inc.; Vasile Rus, University of Memphis; Deepak Venugopal, University of Memphis; April Murphy, Carnegie Learning, Inc.; Steven Ritter, Carnegie Learning, Inc.
Mathematics Teacher Engagement in an Online Professional Learning Course (Poster 4) - Zandra de Araujo, University of Florida; Christopher Engledowl, University of Florida
Curriculum and Learning Improvement Pilot: Creating an Integrated Data System to Improve Math Instruction (Poster 5) - Jaunelle Pratt-Williams, NORC at the University of Chicago; Eric R. Brown, NORC at the University of Chicago; Carol McElvain, NORC at the University of Chicago
Matching Education Researchers with Validated & Usable Digital Learning Platform Infrastructure (Poster 6) - John Whitmer, Learning Data Insights; J. M. Alexandra L. Andres, Learning Data Insights; Warren Li, Learning Data Insights
Title: Facilitating A Large-scale Community of Practice for Collective Impact in Mathematics (Poster 7) - Britte Haugan Cheng, Menlo Education Research; Corinne Singleton, Menlo Education Research; Philip J. Vahey, Applied Learning Insights LLC