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Data-Based Individualization - On Demand Course

Audience: Educators, Other District/School Staff | Topic: Eligibility Determination, Special Education | Hosted by: Office of Special Education

Requirement for School / District Staff: Not Required

On-Demand format

Young Hispanic girl in library standing and reading a book

This course is an overview of Data Based Individualization (DBI) for students with intensive needs. The course was created in collaboration with the National Center on Intensive Intervention. The overall purpose of this series is to provide practitioners and teams with an overview of how to use the DBI process to support students with extensive needs.

This course is self-paced and can be accessed and completed any time.

If you have any questions about this course please contact Emily Ottinger, ottiner_e@cde.state.co.us, Colorado Department of Education Specific Learning Disability Consultant.

Learner Objectives

Upon completion of the module's participants will:

Define and understand the five steps in the data-based individualization process
Locate resources on the National Center on Intensive Intervention’s (NCII) website

Sections:

Certificate

Upon completion of all sections course participants will be eligible to complete a brief evaluation and knowledge check. Once you complete the evaluation and quiz with 10 out of 13 questions correct; you will receive a Certificate which for three (3) hours of recertification credit. If you do not pass the quiz, you will receive an email with feedback and a link to try again.

Overview of Data Based Individualization

Overview Section

Watch Overview Video - (15:13 Min)

View Overview Video-Data-Based
Individualization: An Individualized
Problem-Solving Approach (15:15 Min)

Overview Key Takeaways

Overview Key Takeaways (PDF)

Overview Learning Outcomes

Define and understand the five steps in the data-based individualization process
Locate resources on the National Center on Intensive Intervention’s (NCII) website

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Step 1

Step 1 Topic

Data Based Individualization - Step 1: Validated Intervention

Watch Step1 Video - (5:10 Min)

View Step 1 Video - Data Based Individualization:
Validated Intervention (5:10 Min)

Step 1 Key Takeaways

Step 1 Key Takeaway (PDF)

Step1 Learning Outcomes

What is a validated intervention program?
How do we evaluate a validated intervention program?

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Step 2

Step 2 Topic

Data Based Individualization - Step 2: Using Academic Progress Monitoring for Individualized Instructional Planning

Watch Step 2 Videos - (36 Min)

View Step 2: Part 1 Video - Data-Based
Individualization - How does progress
monitoring fit into the DBI process? (6 Min)

View Step 2: Part 2 Video - Using Academic
Progress Monitoring for Individualized
Instructional Decisions for Individual
Students (13 Min)

View Step 2: Part 3 Video - Using Academic
Progress Monitoring for Individualized
Instructional Planning Mastery Measures
vs General Outcome Measures (10:10 Min)

View Step 2: Part 4 Video - Using Academic
Progress Monitoring for Individualized
Instructional Planning Additional
Considerations (6:15 Min)

Step 2 Key Takeaways

Step 2 Key Takeaways (PDF)

Step 2 Learning Outcomes

Why do we monitor progress?
How does progress monitoring fit in DBI?
Understanding how to use progress monitoring to
- Set base line
- Set goals
- Monitor growth
Understand the difference between General Outcome Measures (GOMs) and Mastery Measures (MMs)
How to use GOMs and MMs for progress monitoring
When and how to assess off level
Augmenting data from General Outcome Measures (GOMs)

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Step 3

Step 3 Topic

Data-Based Individualization - Step 3: Diagnostic Data

Watch Step 3 Videos (21 Min)

View Step 3 Part 1: Data-Based
Individualization - Introduction to
RIOT/ICEL (5 Min)

View Step 3 Part 2: Data-Based
Individualization Diagnostic Data
RIOT/ICEL Deeper dive Instruction
and Curriculum (9:27 Min)

View Step 3 Part 3: Data-Based
Individualization Diagnostic Data
RIOT/ICEL Deeper Dive Environment
and Learner (6 Min)

Step 3 Key Takeaways

Step 3 Key Takeaways (PDF)

Step 3 Learning Outcomes

Understand how data is gathered and organized for diagnostic purposes
Identify factors that can be assessed to inform hypotheses and intervention adaptation/modification
Gain a deeper understanding of Instruction and Curriculum from RIOT/ICEL
Gain a deeper understanding of Environment and Learner from RIOT/ICEL

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