Students with extensive support needs (ESN), most of whom are taught in separate settings by special educators without extensive academic preparation, have difficulty making progress in the general education curriculum. Although there is evidence that data-based decision-making improves achievement for a wide range of students, there is little…

In inclusive education, students with different needs learn in the same context. With the advancement of artificial intelligence (AI) technologies, it is expected that they will contribute further to an inclusive learning environment that meets the individual needs of diverse learners. However, in Japan, we did not find any studies exploring…

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 purpose of this interview-based qualitative study was to explore how individualized education program (IEP) team members determine least restrictive environment and educational placement. The Individuals with Disabilities Education Act (IDEA) requires students with disabilities to be educated in the least restrictive environment and to the…

This pilot study examined (a) the perceived barriers to creating high-quality social and emotional learning (SEL) IEP goals for autistic students without intellectual disabilities, and (b) the impact of using a data-driven SEL IEP goal builder--a key component of the Ivymount Social Cognition Instructional Package (IvySCIP)--on the quality of SEL…

Students with or at-risk of High Incidence Disabilities (HID) experience negative short and long-term outcomes. To intervene, many schools have elected to implement evidence-based practices within Multi-Tiered Systems of Support (MTSS), such as Response to Intervention (RTI). MTSS target the academic and behavioral progress of students deemed 'at…

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…

Caseload (student-to-staff ratio) is a metric commonly used by upper level administrators to inform budgetary allocations. Using a national, random sample we found that the average caseload is 133.0 students per disability practitioner. Institutions with one disability practitioner had a caseload of 154.9 students; institutions with two or three…

Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…

Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…

Although the use of data is important for informing inclusive practice, research into Australian early childhood educators' data practice is limited. Types of data collected in early childhood settings and the use of these data were investigated. Surveys completed by 105 early childhood educators across Australia indicated that anecdotal written…

This report provides information about the sample, survey instrument, and resultant data for the 2021 Learn Together Surveys (LTS) that were administered to secondary principals and teachers in March 2021 via the RAND Corporation's American Educator Panels. It includes a full set of basic frequency tables for each survey. The LTS focus on several…

This report provides information about the sample, survey instrument, and resultant data for the 2019 Learn Together Surveys (LTS) that were administered to principals and teachers in March 2019 via the RAND Corporation's American Educator Panels (AEP). It includes a full set of basic frequency tables for each survey. The LTS focus on several…

This report provides information about the sample, survey instrument, and resultant data for the 2020 Learn Together Surveys (LTS) that were administered to principals and teachers in March 2020 via the RAND Corporation's American Educator Panels. It includes a full set of basic frequency tables for each survey. The LTS focus on several topics,…

In March 2022, RAND researchers administered the fourth and final Learn Together Surveys (LTS) via the RAND Corporation's American Educator Panels. The 2022 LTS differs in two key ways from its predecessors. First, the 2022 sample includes K-12 educators whereas previous administrations of the LTS sampled only educators in schools serving grade 6…