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MTSS Data-Based Decision Making:

Strategies for Systems-Level

Problem Solving

September 10, 2024

�DE-MTSS Technical Assistance Center

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Your Facilitators

Megan Pell, Ed. D Instructional Specialist

Dana Farrior, Ed.D

Instructional Specialist

Mackenzie Shane, M.Ed Instructional Specialist

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DE-MTSS Technical Assistance Center

The Delaware Multi-Tiered System of Support TA Center proudly serves as a technical assistance provider for the

Delaware Department of Education.

Our TA Center provides professional learning and coaching to support the academic and nonacademic development of all children.

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Thank you for bringing your perspective & expertise!

Introduce yourself (name, district and role)

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Transformational Processes Standard

Transformational Processes Standard: IMPLEMENTATION

Professional learning results in equitable and excellent outcomes for all students when:

  1. Educators understand and apply research on change management,
  2. Educators engage in feedback processes, and
  3. Educators implement and sustain professional learning.

(Learning Forward, 2023)

Learn more about the Professional Learning Standards here and the Delaware Professional Development Standards guidance here.

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Cascade of MTSS Implementation to

Support the Whole Child

State

District

School

Classroom

Improved Student Outcomes

Delaware multi-tiered system of support. (2021).

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Defining MTSS in Delaware

DE-MTSS is a framework designed to meet the needs of the whole child through an integrated, multilevel prevention system that optimizes team-based leadership and data-driven decision making to meet the academic and nonacademic needs of all students. High quality core academic instruction and non-academic practices are provided as universal supports to all children. Evidence-based intervention and supports are matched to student needs and informed by ongoing progress monitoring and additional formative assessments.

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Workshop Objectives

During this professional learning opportunity, Delaware administrators will:

  • Understand the purpose of data within MTSS framework and its role in fostering a positive, equitable school climate.
  • Examine a six-step data based decision-making protocol to ensure improved learner-centered outcomes for all students.
  • Learn how to use data effectively to drive decisions at multiple levels—from classroom to district.

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Working agreements

Give and receive welcome

Listen and speak with an open mind and heart

Be curious before being critical

Take risks, embrace discomfort, �be brave

Respect yourself and others

Use asset-based language when referring to students and teachers

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Workshop Tools You Can Use

PPT Slides

Note Catcher

Academic Vignette

Implementation Checklist

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Grounding Thought & Our Agreements

Alice laughed, “There’s no use trying,” she said; “one can’t believe impossible things.”

“I dare say you haven’t had much practice,” said the Queen.

“When I was younger, I always did it for half an hour a day. Why, sometimes I’ve believed as many as six impossible things before breakfast.”

Lewis Carroll, Alice in Wonderland

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Part I.

Data as a Driver of Excellence in Equity

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Driving Question #1

Why is data essential when making decisions to address systems-level problems and improving equity in schools?

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DE-MTSS Implementation Teams

Delaware multi-tiered system of support. (2021).

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Tier 1: Core/Universal

Core classroom curriculum, grade-level content

Tier 2: Targeted

Specific, targeted instruction based on individual or small group needs

Tier 3: Intensive

Specially designed instruction based on individual student need

Tier 1: Core/Universal

Access to healthcare, physicals, screenings, vitamins and supplements

Tier 2: Targeted

Medication, specific diets,

specific tests

Tier 3: Intensive

Specialists, more specialized care, surgeons

Continuum of Decision-Making

all

some

few

School-Based Structures

Family-Based Resources

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Transforming Insights into Impact

Data Mining: Selecting and Gathering Data

Data Storytelling: Paraphrasing the Data

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Data-Informed Story Telling

Using data helps us to develop a comprehensive plan for learners and refine the systems and contexts in which they exist.

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Assessment data informs two types of

team-based problem solving conversations:

Systems Problem Solving

Across all tiers, to guide the selection and implementation of core instruction and evidence-based intervention

Student Problem Solving

Across all tiers, to understand student responsiveness and determine the adaptation of intervention for students requiring additional supports

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Argyris’ Ladder of Inference

Our beliefs influence what we observe

Action

Beliefs

Conclusions

Assumptions

Add Meaning

Select

Observe

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Part II.

Strategies for Solving Systems-Level Problems

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Driving Question #2

What do highly effective leaders do to ensure consistent and effective implementation of the Data-Based Decision Making process to improve student outcomes and school effectiveness?

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Systems Thinking & Everyday Life

Meal Planning

Trip Planning

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Common Data-Based Decision-Making Models

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Six Step Problem Solving Process

Step 3: Solution Planning

Step 1: Problem Identification

Step 2: Problem Clarification

Step 6: Evaluation

Step 4: Goal Setting

Step 5: Implementation

Adapted from McIntosh & Goodman, 2016

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Six Step Problem Solving Process

Step 3: Solution Planning

  • Determine possible strategies that are feasible for your team to implement
  • Select effective interventions and develop a clear plan for implementation

Step 1: Problem Identification

  • Determine if a problem exists
  • Define the problem as precisely as possible

Step 2: Problem Clarification

  • Evaluate the problem in greater detail and determine why it occurs
  • Identify factors that may cause or maintain the problem

Step 6: Evaluation

  • Determine if the problem persists
  • Use the information gained from this cycle for future problem solving
  • Begin this process again and apply new information if the problem persists

Step 4: Goal Setting

  • Develop a clear goal with a measurable outcome
  • Determine a date for reaching the goal and a plan for assessing progress along the way

Step 5: Implementation

  • Provide training and resources to effectively implement the intervention
  • Monitor the fidelity of implementation

Adapted from McIntosh & Goodman, 2016

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2 - we currently use this system

1 -looks familiar to

our current system

0 - not at all familiar to me

Step 3: Solution Planning

  • Determine possible strategies that are feasible for your team to implement
  • Select effective interventions and develop a clear plan for implementation

Step 1: Problem Identification

  • Determine if a problem exists
  • Define the problem as precisely as possible

Step 2: Problem Clarification

  • Evaluate the problem in greater detail and determine why it occurs
  • Identify factors that may cause or maintain the problem

Step 6: Evaluation

  • Determine if the problem persists
  • Use the information gained from this cycle for future problem solving
  • Begin this process again and apply new information if the problem persists

Step 4: Goal Setting

  • Develop a clear goal with a measurable outcome
  • Determine a date for reaching the goal and a plan for assessing progress along the way

Step 5: Implementation

  • Provide training and resources to effectively implement the intervention
  • Monitor the fidelity of implementation

Adapted from McIntosh & Goodman, 2016

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Application

Data-Based Decision-Making:

Systems Level Challenges

  • Attendance and Chronic Absenteeism
  • Disproportionate Discipline
  • Overrepresentation in Special Education
  • Access to Advanced Coursework
  • Graduation Rates and Post-Secondary Readiness
  • English Language Learner Achievement
  • Teacher Retention and Effectiveness
  • Resource Allocation

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Behavior Case Study

  • The data coordinator identifies that black students are overrepresented in Office Discipline Referrals (ODRs).
  • A total of 73% of black students had 2-3 or more ODRs last year, compared to 92% of white students.
  • Before the next problem solving team meeting, the data coordinator assesses ODRs by problem behavior, location, and time of day and finds that black students are more likely to receive ODRs for disrespect and more likely to receive these ODRs in the bus area in the afternoon.

(adapted from: McIntosh & Goodman, 2016).

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Step 1

Step 1: Problem Identification

What We Know

Determined if a problem exists. Define the problem as precisely as possible

The identified problem is…the data coordinator identifies that black students are overrepresented in ODRs. We know this because…a total of 73% of black students had 0 to 1 ODR last year, compared to 92% of white students.

Guiding Question

Guiding question(s): What is the observed discrepancy between our desired outcome and actual outcomes?

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Step 2

Step 2: Problem Clarification:

What We Know

Analyze the problem to determine why the issue is occurring.

Generate a hypothesis (reasons why students are not meeting performance goals). Gather information

The potential barriers are…

black students are more likely to receive ODRs for disrespect and more likely to receive these ODRs in the bus area in the afternoon.

Guiding Question

What are the known barriers to the desired outcomes?

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Step 3

Step 3: Solution Planning:

What We Know

Determine possible strategies that are feasible for your team to implement.

After brainstorming solutions, the team decides to (a) revisit ODR definitions for disrespect, (b) review instructional approaches to problem behavior, (c) reteach expectations for bus area; (d) increase use of acknowledgement tickets, ensuring equity across racial groups, (e) monitor ODRs for improvement by assessing risk ratios for black students.

Guiding Question

Guiding question(s): What are possible strategies? Are the strategies feasible and likely to be effective? Who will implement specific components, by when, and how will you monitor its effectiveness over time?

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Pause & Reflect

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Step 4

Step 4: Goal Setting:

What We Know

Develop a clear goal with a measurable outcome. Determine a date for reaching the goal and a plan for assessing progress along the way.

The team notes a current risk ratio of 2.85 and sets a goal to reduce it to below 1.25 by the end of the school year.

Guiding Question

Guiding Question(s): What does success look like? When do you expect to see the problem resolved? How will you measure progress toward your goal?

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Step 5

Step 5: Intervention Implementation:

What We Know

Provide training and resources to effectively implement the intervention. Monitor the fidelity of implementation.

The team plans to review ODRs, instructional responses to behavior, and bus expectations at the next staff meeting; reteach expectations to students in the next week; and observe implementation of responses to prosocial and problem behavior at the bus area. The team creates a quick checklist to assess completion.

Guiding Question

Guiding Question(s): What is your plan to support staff to implement the solutions? Do the solution implementers have necessary resources?How will you measure the fidelity of staff implementation?

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Step 6

Step 6: Evaluation:

What We Know

Determine if the problem persists. Use information gained from this cycle for future problem solving. Begin this process again and apply new information if the problem persists.

The team plans to revisit its plan and observe outcomes each month until the goal is met, revising plans if no decrease is seen in the risk ratio each month.

Guiding Question

Guiding Question(s): What is your plan to review progress toward your goal? Is the plan having the desired impact? Is the plan being implemented with fidelity? Does the original problem still exist? If the problem still exists, how will you modify your plan with information learned?

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Academic Case Study

  • Only 41% of 5th grade students earned a reading composite score that placed them at or above benchmark.
  • This trend was observed across all 5th grade classrooms, and not unique to a few. Student performance did not vary significantly based on subgroup membership (e.g, race/ethnicity, english proficiency, and disability status).
  • After looking at subtest data, they noted that only 46% of the 5th grade students scored at or above benchmark on the ORF. This was concerning, because the teachers knew that students’ lack of ready accuracy would adversely impact their ability to comprehend what they are reading.
  • After discussing and reviewing their lesson plans, the teachers determine that reading accuracy is below expectation because sufficient instruction on word attack strategies is not occuring.
  • They also confirm that students do not understand that fluent oral reading includes reading quickly, accurately and with expression

(adapted from: Problem Solving/Response to Intervention Project, n.d.).

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Moving Forward

Data-Based Decision-Making:

Systems Level Challenges

  1. Attendance and Chronic Absenteeism
  2. Disproportionate Discipline
  3. Overrepresentation in Special Education
  4. Access to Advanced Coursework
  5. Graduation Rates and Post-Secondary Readiness
  6. English Language Learner Achievement
  7. Teacher Retention and Effectiveness
  8. Resource Allocation

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Part II.

Supporting Fidelity of the DBDM Process in Schools

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Driving Question #3

How can leaders ensure consistent and effective implementation of the Data-Based Decision Making process to improve student outcomes and school effectiveness?

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Risks of Losing Fidelity…

Meal Planning

Trip Planning

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Risks of Losing Our Fidelity in our DBDM Process

Our beliefs influence what we observe

Action

Beliefs

Conclusions

Assumptions

Add Meaning

Select

Observe

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Complex Systems Change

Vision

Skills

Incentives

Resources

Action Plan

CHANGE

Skills

Incentives

Resources

Action Plan

CONFUSION

Vision

Incentives

Resources

Action Plan

ANXIETY

Vision

Skills

Resources

Action Plan

GRADUAL CHANGE

Vision

Skills

Incentives

Action Plan

FRUSTRATION

Vision

Skills

Incentives

Resources

FALSE STARTS

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DBDM Process Monitoring - How? Who?

Process monitoring strategies may include:

  • Set expectations for process use across teams & model
  • Utilize a checklist/reflection tool
  • Adapt checklist/tool to align with current DBDM Process steps
  • Plan a timeline with expectations as LEA or building to utilize tool across teams & how to capture data
  • Utilize: District coaches, building admin, team leads, team

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Building

Fidelity

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Walkaway Thoughts

“That which is measured improves. That which is measured and reported improves exponentially.”

Karl Pearson

Clear is kind.

- Brene Brown

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Thank you for being here!

Please complete this brief evaluation so we can plan for our next session with your feedback in mind.

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Thank YOU

for your ongoing engagement in implementing equity-grounded MTSS to support all students, staff, & families

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DE-MTSS Resources and Supports

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References & Additional Resources

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Session Specific References

  • Edmondson, J. (2010, November 29). TEDxCincy - The key to educational improvement: Data and how we use it. YouTube.

https://youtu.be/FLqc_9VxfCE?si=lYHi8usM_UhQfvkf

  • McIntosh, K., & Goodman, S. (2016). Integrated multi-tiered systems of support: Blending RTI and PBIS. Guilford Press.
  • Problem Solving/Response to Intervention Project. (n.d.) Tier 1 problem solving course case study handout. Florida Department of Education and the University of South Florida.
  • Harmon, D. (2020). Data-based decision making in special education. Teaching Exceptional Children, 52(3), 15-24. https://doi.org/10.1177/0040059919900725