Subject Matter Expert

  • Jessica Toste, PhD

    Jessica Toste, PhD

    Assistant Professor and Researcher at University of Texas at Austin

    Dr. Jessica Toste is an assistant professor in the Department of Special Education at The University of Texas at Austin teaching courses on reading instruction, learning disabilities (LD), and special education law. She was named one of the 2017 “Texas 10,” nominated by UT alumni as a professor who inspired them. Toste was trained in reading intervention research as a postdoctoral fellow at Vanderbilt University and as a Fulbright scholar/visiting researcher at the Florida Center for Reading Research.

Intensifying Instruction

This course will familiarize educators with the critical aspects of intensive instruction in reading intervention including an overview of Multi-Tiered Systems of Support (MTSS), Response to Intervention (RTI), Data-Based Decision Making (DBDM), Data-Based Individuation (DBI), and intensified instruction.

  • Expert-led

    Led by University of Texas at Austin researcher and Assistant Professor in Special Education, Jessica Toste, PhD

  • Online and On-demand

    Take the course online and on your own timeline

  • Key Content

    Learn best-practices to support your team and the students you serve

Course curriculum

  • 1
    1. Introduction to Intensifying Instruction
  • 2
    2. Understanding MTSS and RTI
    • 2.1 Understanding MTSS and RTI: The MTSS Umbrella
    • 2.2 Understanding MTSS and RTI: Response to Intervention (RTI)
    • 2.3 Understanding MTSS and RTI: The Team
    • 2.4 Understanding MTSS and RTI: Effective Practices for Implementation
    • Module 2 Quick Quiz
  • 3
    3. Implementing Intensified Instruction
    • 3.1 Implementing Intensified Instruction: Methods for Intensifying Intervention
    • 3.2 Implementing Intensified Instruction: Troubleshooting
    • Case Study Part 1: Silver Rain Elementary School
    • Module 3 Quick Quiz
  • 4
    4. Using Data-Based Decision Making
    • 4.1 Using Data-Based Decision Making: Data-Based Individualization Overview
    • 4.2 Using Data-Based Decision Making: Progress Monitoring
    • 4.3 Using Data-Based Decision Making: Using Data to Inform Decisions
    • Case Study Part 2A - Initial Data
    • Case Study Part 2B - Diagnostic Deep Dive
    • Module 4 Quick Quiz
  • 5
    5. Individualizing Instruction
    • 5.1 Individualizing Instruction: Understanding the Learner
    • 5.2 Individualizing Instruction: Supporting Computerized Interventions
    • 5.3 Individualizing Instruction: Designing an Intensified Lesson
    • Case Study Part 3A
    • Case Study Part 3B
    • Module 5 Quick Quiz
  • 6
    References/Additional Resources
    • Additional Resources
  • 7
    End-of-Course Survey
    • End-of-Course Survey

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