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Session Type: Roundtable Session
This session investigates evidence-based and technology-enhanced approaches to mathematics instruction for students with learning disabilities in mathematics. Presenters examine virtual interventions, specially designed instruction, and the integration of generative AI to support mathematical conceptual understanding. These studies provide new insights into how targeted instructional design and error analysis can strengthen problem-solving and numeracy skills among diverse learners.
Examining a Virtual Number Line Intervention to Teach Fractions to Children With Mathematics Difficulties - Rajiv Satsangi, George Mason University; Soyoung Park, University of Central Florida
Generative AI and SRSD in Mathematics: A Pilot Study for Students with Learning Disabilities - Jiyeon Park, Eastern Kentucky University; Joo Young Lee, University of Maine; Kimberly Seale, Model Laboratory Schools at Eastern Kentucky University
A Case Study of Specially Designed Instruction for Middle School Math Students in Special Education - David Johnston, Texas Tech University; Jeong-Hee Kim, Texas Tech University; Randi Wold-Brennon, Texas Tech University; Zoraya Davidson, Texas Tech Alumni; Aileen Narido Hermes, Texas Tech University
Exploring Problem-Solving Characteristics and Error Patterns in Fraction Word Problems Among Students with MLD - Lexi Hwang, California State University - Los Angeles; Kyle Chasen Hay, University of California - Los Angeles; Sarah R. Powell, University of Texas at Austin