The process of analyzing student data to determine an appropriate instructional decision is crucial for student academic growth. This article details how teachers can make data-driven decisions to carefully design writing instruction. Steps are presented for teachers to follow throughout the data driven decision-making process in order to meet…

The value of data is increasingly recognized by organizations and programs, including Individuals with Disabilities Education Act (IDEA) Part C and Part B 619 programs. Data can help Part C and Part B 619 program coordinators, data managers and staff improve outcomes for children and families by strengthening their understanding of the needs of…

This manuscript presents an exploratory mixed-methods case study examining the impact of artificial intelligence (AI) in the form of generative pretrained transformers (GPTs) and large language models on special education administrative practices in one school district in the Northeast United States. AI holds tremendous potential to positively…

The What Works Clearinghouse (WWC) at the Institute of Education Sciences reviews rigorous research on educational practices, policies, programs, and products with a goal of identifying 'what works' and making that information accessible to the public. One critique of the WWC is the need to more closely examine 'what works' for whom, in which…

The purpose of the DaSy Data System Framework (referred to as DaSy framework) is to assist Part C (Early Intervention) and Part B (School-Aged) 619 programs in developing and enhancing high-quality state data systems for the collection, analysis, reporting, and use of their Individuals with Disabilities Education Act (IDEA) data. The DaSy…

The Open Science movement has gained considerable traction in the last decade. The Open Science movement tries to increase trust in research results and open the access to all elements of a research project to the public. Central to these goals, Open Science has promoted five critical tenets: Open Data, Open Analysis, Open Materials,…

As American public education becomes increasingly technology-based, multiple new data sources become accessible for educators to better understand student learning processes. Novel data analysis applications became necessary during severe disruptions due to the COVID pandemic. This case study highlights a novel method for identifying high school…

Each year hundreds of institutions will administer national surveys to measure the engagement of their students. However, stakeholders on college campuses, such as educators (faculty, instructors, student affairs educators, and disability services administrators) and institutional research staff who work with this information are often unaware of…

The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…

"For valid disability determination to occur, a diagnostic team needs to be able to determine that a student has received appropriate instruction in the general education classroom" (Johnson, Mellard, Fuchs, & McKnight, 2006, p. 4.2). The purpose of the study was to determine whether a middle school Response to Intervention (RTI)…

The Center for IDEA Early Childhood Data Systems (DaSy Center) was charged with developing a data system framework. This document contains that framework. It was developed over 14 months with extensive input from Individuals with Disabilities Education Act (IDEA) Part C (Early Intervention) and Part B (Early Childhood Special Education) Section…