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Integrated Data-Driven IEP Intervention Framework (IDDIF): Methodology Description, Theoretical Foundations, and Implementation Protocols

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Title: Integrated Data-Driven IEP Intervention Framework (IDDIF): Methodology Description, Theoretical Foundations, and Implementation Protocols
Language: English
Authors: Promise Okwarajiaku
Source: Online Submission. 2026.
Peer Reviewed: N
Page Count: 23
Publication Date: 2026
Document Type: Reports - Research
Descriptors: Individualized Education Programs, Data Use, Decision Making, Models, Special Education, Public Schools, Intervention, Multi Tiered Systems of Support, Social Emotional Learning, Progress Monitoring, Curriculum Based Assessment, Access to Education, Pilot Projects
Geographic Terms: Wisconsin (Milwaukee)
Abstract: This study introduces the Integrated Data-Driven IEP Intervention Framework (IDDIF), a four-component technique for special education interventions created by a classroom practitioner at Milwaukee Public Schools. The IDDIF amalgamates five intersecting research paradigms, the Data-Based Individualization (DBI), Curriculum-Based Measurement (CBM), Multi-Tiered Systems of Support (MTSS), Social-Emotional Learning (SEL), and Implementation Science into a cohesive, documented, practitioner-ready protocol system intended for implementation by special education teachers across various school districts. The framework consists of four elements: (1) a Real-Time IEP Progress Dashboard featuring standardized data fields aligned with federal IDEA mandates and an integrated four-point decision rule for systematic intervention adjustments, (2) a Cross-Functional IEP Compliance Review Team model with color-coded deadline monitoring, (3) SEL-Integrated Behavioral Intervention Protocols that correlate behavioral functions with CASEL competency domains for focused skill enhancement, and (4) modular Professional Development Curricula for peer sharing. Initial pilot data from a single-practitioner implementation at an urban school site reveals that IEP objective mastering increased from 58% to 79%, compliance with IDEA timelines achieved 100%, office discipline referrals diminished by 41%, and self-regulation scores enhanced by 34%. These findings have not been independently verified. The methodology's principal contribution is the system architecture, a formally documented amalgamation of independently proven methods within a reproducible framework. The IDDIF functions on conventional spreadsheet systems and necessitates no proprietary software. The implications for the application of evidence-based approaches at the practitioner level in special education are examined.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED680469
Database: ERIC
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  Availability: 0
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  Data: Integrated Data-Driven IEP Intervention Framework (IDDIF): Methodology Description, Theoretical Foundations, and Implementation Protocols
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  Data: This study introduces the Integrated Data-Driven IEP Intervention Framework (IDDIF), a four-component technique for special education interventions created by a classroom practitioner at Milwaukee Public Schools. The IDDIF amalgamates five intersecting research paradigms, the Data-Based Individualization (DBI), Curriculum-Based Measurement (CBM), Multi-Tiered Systems of Support (MTSS), Social-Emotional Learning (SEL), and Implementation Science into a cohesive, documented, practitioner-ready protocol system intended for implementation by special education teachers across various school districts. The framework consists of four elements: (1) a Real-Time IEP Progress Dashboard featuring standardized data fields aligned with federal IDEA mandates and an integrated four-point decision rule for systematic intervention adjustments, (2) a Cross-Functional IEP Compliance Review Team model with color-coded deadline monitoring, (3) SEL-Integrated Behavioral Intervention Protocols that correlate behavioral functions with CASEL competency domains for focused skill enhancement, and (4) modular Professional Development Curricula for peer sharing. Initial pilot data from a single-practitioner implementation at an urban school site reveals that IEP objective mastering increased from 58% to 79%, compliance with IDEA timelines achieved 100%, office discipline referrals diminished by 41%, and self-regulation scores enhanced by 34%. These findings have not been independently verified. The methodology's principal contribution is the system architecture, a formally documented amalgamation of independently proven methods within a reproducible framework. The IDDIF functions on conventional spreadsheet systems and necessitates no proprietary software. The implications for the application of evidence-based approaches at the practitioner level in special education are examined.
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
    Subjects:
      – SubjectFull: Individualized Education Programs
        Type: general
      – SubjectFull: Data Use
        Type: general
      – SubjectFull: Decision Making
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Special Education
        Type: general
      – SubjectFull: Public Schools
        Type: general
      – SubjectFull: Intervention
        Type: general
      – SubjectFull: Multi Tiered Systems of Support
        Type: general
      – SubjectFull: Social Emotional Learning
        Type: general
      – SubjectFull: Progress Monitoring
        Type: general
      – SubjectFull: Curriculum Based Assessment
        Type: general
      – SubjectFull: Access to Education
        Type: general
      – SubjectFull: Pilot Projects
        Type: general
      – SubjectFull: Wisconsin (Milwaukee)
        Type: general
    Titles:
      – TitleFull: Integrated Data-Driven IEP Intervention Framework (IDDIF): Methodology Description, Theoretical Foundations, and Implementation Protocols
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            NameFull: Promise Okwarajiaku
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            – D: 01
              M: 05
              Type: published
              Y: 2026
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            – TitleFull: Online Submission
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