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Role-Based Data Analysis Template
Student and Role Information
· Student Profile Name/Identifier:
· Assigned IEP Team Role:
· IEP Team Group #:
· Date:
Section 1: Role-Specific Data Review
· Identify and summarize academic, behavioral, functional, and related service data most relevant to your role
· Highlight patterns, trends, and concerns
· Address role-specific focus areas (e.g., SLP: language data, OT: motor/fine skills, SW: social-emotional data)
Response:
Section 2: Interpretation of Strengths and Needs
· Analyze student strengths that can be leveraged
· Determine critical needs from your role’s perspective
· Explain impact on access to the general curriculum
Response:
Section 3: Preliminary Instructional / Support Considerations
· Propose strategies, accommodations, or services
· Identify areas requiring immediate attention
· Suggest ways to monitor progress
Response:
Section 4: High-Leverage Practice (HLP) Connections
Explicitly connect your analysis to relevant High-Leverage Practices. NOTE: You may not use all of these! The purpose is to see how these HLPs can be embedded into the IEP process. Select the one(s) that are most relevant to your role.
· HLP 4: Use multiple sources of information to develop a comprehensive understanding of a student’s strengths and needs
· HLP 6: Use student assessment data to analyze instructional practices and make necessary adjustments
· HLP 11: Identify and prioritize long- and short-term learning goals
· HLP 12: Systematically design instruction toward a specific learning goal
Response:
Section 5: Questions / Contributions for IEP Team
Generate thoughtful questions, concerns, or contributions you would bring to the IEP team discussion.
Address the following:
· What questions do you have for other team members?
· Are there gaps in the data that need clarification?
· Where might professional perspectives differ during the meeting?
Response:
Instructor Note
This assignment will be used during the IEP Team Midterm Meeting. Come prepared to articulate and support your perspective using data while engaging in collaborative discussion.