Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…

Assessments of natural language can provide vast information about individuals' thoughts and cognitive process, but they often rely on time-intensive human scoring, deterring researchers from collecting these sources of data. Natural language processing (NLP) gives researchers the opportunity to implement automated textual analyses across a…

This paper examines the genetic ("nature") and environmental ("nurture") influences on why students vary in their reading skills. We review core findings from the field of modern behavioral genetics, a discipline that studies the interplay of genetic and environmental influences, on reading science. Additionally, we provide an…

What is the science of reading? The Reading League, in their document "Science of Reading: Defining Guide" (TRL, 2022), proposes that "The science of reading is a vast, interdisciplinary body of scientifically-based* research about reading and issues related to reading and writing." (p. 11.) The asterisk is carrying a lot of…

Supporting early writing skills in pre-kindergarten lays an important foundation for later writing achievement as well as reading achievement. Specifically, encouraging children to write affords teachers the opportunity to provide scaffolds to improve spelling development. Teachers, however, tend to provide more support than necessary to guide…

We describe here lessons learned in designing an early algebra curriculum to measure early algebra's impact on children's algebra readiness for middle grades. The curriculum was developed to supplement regular mathematics instruction in Grades K-5. Lessons learned centered around the importance of several key factors, including using conceptual…

In this entry, we define Intelligent Tutoring Systems (ITSs) and present a description of their core components. We outline a history of the development of ITSs with a focus on key issues that have driven change and innovation in ITSs from their inception to present day. We also present a brief case study on a specific ITS, Inq-ITS (Inquiry…

Structural equation modeling (SEM) is widely used in behavioral, social, and education research. Drawing publication-ready path diagrams for SEM is not a pleasant task with the existing software. The article introduces an open-source web-based graphical application, "semdiag," for drawing WYSIWYG SEM path diagrams interactively. The…

Reading and writing involve print-related and meaning-making processes, which draw on numerous skills and knowledge. The contributing skills and knowledge, and reading and writing have: a) hierarchical relations where lower order skills support higher order skills in a systematic and cascaded way; b) interactive relations where reading and writing…

This review of research conducted between March 2020-April 2023 summarizes the impact of COVID-19 on the learning and school experiences of children and adolescents with special educational needs and dis/abilities (SENDs) including youth with neurodevelopmental disorders, learning differences, intellectual, developmental, and other disabilities.…

Recruiting and retaining effective special educators is essential for improving the outcomes of students with disabilities, yet it remains one of the foremost challenges facing special education. In this chapter, the authors provide an overview of the extent to which economic interventions -- such as bonuses, increased salaries, and loan…

This practitioner article provides practitioners with instructional techniques to support reading and language comprehension development for children who demonstrate slower growth, including those with autism and concurrent intellectual disability.

To jump-start educational recovery after the disruptions from COVID-19, the federal and state governments sent billions in one-time stimulus funds to school districts. California allocated much of its stimulus funding to districts based on their shares of low-income students--a proxy for student need and the main way California directs money…

To evaluate the fit of a confirmatory factor analysis model, researchers often rely on fit indices such as SRMR, RMSEA, and CFI. These indices are frequently compared to benchmark values of 0.08, 0.06, and 0.96, respectively, established by Hu and Bentler (1999). However, these indices are affected by model characteristics and their sensitivity to…

The Bring Bobcats Back program was established at Texas State University in 2018 for students who had "stopped out" to return and finish their degrees. Bring Bobcats Back has expanded thanks to federal and state grant funding born out of the pandemic. Through the U.S. Department of Education's Stabilization Fund Program via the…