MULTISENSORY MATHEMATICS I -
Fulfills one course requirement for Teaching Level Certification
Based on the Orton-Gillingham philosophy of teaching, Multisensory Mathematics I applies the research-based Concrete-Representation-Abstract (CRA) approach to teaching mathematics as advocated by the National Math Panel and the NCTM. Participants learn to apply this methodology in guiding students from foundation skills and numeracy to place value, operations, fractions and decimals. Participants learn to use manipulatives effectively to reinforce concepts, aid memory and enhance performance for all students. Strategies for helping students learn and retrieve math facts are stressed as well as structured procedures for computational accuracy. This approach is especially effective with students who learn differently, inclusion classes and ESL learners. The approach is effective for initial instruction as well as remedial work at all levels and is compatible with all curricula and programs.
Specific Course Outcomes Include:
Next Course On Site: Pittsburgh, Pennsylvania June 25, 26, 27, 28, 29, 2018
- Participants relate instructional methodology to current research in mathematics
- Participants utilize concrete-representational-abstract approach in teaching concepts and procedures.
- Participants identify common learning characteristics of students with math deficits and utilize an appropriate diagnostic prescriptive approach to instruction
- Participants select appropriate manipulatives to use in instruction of fractions, decimals, Algebra concepts and operations and Geometry.
- Participants create effective multisensory lesson plans to introduce or reinforce math concepts and procedures.
- Participants demonstrate appropriate language strategies for addressing the needs of diverse learners.
- Participants analyze basic concepts and applications associated with a variety of operations and link appropriate language and instructional strategies to illustrate the underlying conceptual basis of those operations.
- Participants apply specific MSLE strategies to processing difficulties in complex math applications. These include: coding, structured procedures, pattern recognition, summarizing, simultaneous multisensory processing and graphic organizers.
Contact Kathleen Hartos