Special Education Data Submission Video
What Administrators Need to Know About Special Education Data Reporting
This presentation by Dr. Carole Clancy focuses on streamlining data reporting processes for special education directors. She outlines a three-phase approach:
- Preparing for Data Collection: This phase emphasizes proactive measures to minimize errors.
- During Data Collection: Dr. Clancy highlights the importance of aligning data between student information systems and special education management systems.
- After Data Collection: This phase focuses on post-submission data review to resolve errors such as mismatched codes, duplicates, and classification issues.
Instructions for Viewing the Presentation:
To make your viewing experience easier, we've divided the full presentation into smaller, manageable segments.
How to navigate:
- Full Presentation: You can watch the complete presentation in the YouTube video located on the right side of your screen. This will give you a continuous overview of the entire topic.
- Segmented Viewing: Below, you'll find the presentation broken down into five distinct segments, each organized within an accordion layout.
- Expand and View: Click on any segment title to expand the accordion and reveal the corresponding video clip.
- Sequential or Selective Viewing: You can watch the segments in order, following the flow of the full presentation, or select specific segments that are most relevant to your needs.
Full Video Presentation
Dr. Carole Clancy shares lessons learned to help special education directors streamline data reporting processes. She outlines steps before, during, and after data collection to ensure accuracy and compliance
Preventive measures and proactive steps to simplify data reporting and minimize errors are discussed. Developing basic Excel skills, fostering strong collaboration with district and IU data managers, and understanding the key data points and their sources are key in this work.
Video Segments
Preventative Measures
Prior to the Extraction of Data
Aligning data between student information systems and special education management systems to ensure accuracy is key. Dr. Clancy demonstrates the use of tools in Excel, VLOOKUP and pivot tables, to efficiently identify discrepancies across large datasets and make corrections directly in systems to support a clean data extract. This systematic approach minimizes inconsistencies, ensures data integrity, and streamlines the process for a successful final submission.
Video Segments
Data Matching
Data Verification
The importance of post-submission data review to resolve errors like mismatched codes, duplicates, and classification issues are discussed. Accurate data is essential for compliance, funding, and reflecting district performance
Video Segments
Post Submission
Error Report
Early preparation, collaboration with key team members, and ensuring accurate data submissions to support compliance and effective reporting.