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Root, Jenny; Saunders, Alicia; Jimenez, Bree; Gilley, Deidre – Grantee Submission, 2022
In this article, we focus on pairing instructional approaches with a strong evidence base in math with evidence-based practices for students with extensive support needs. To do so we draw on two sources. We use the 2021 Practice Guide from the Institution for Education Sciences (Fuchs et al., 2021). In addition, we use identified evidence-based…
Descriptors: Mathematics Instruction, Teaching Methods, Evidence Based Practice, Special Needs Students
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Siverling, Emilie A.; Moore, Tamara J.; Suazo-Flores, Elizabeth; Mathis, Corey A.; Guzey, S. Selcen – Journal of Engineering Education, 2021
Background: As engineering becomes increasingly incorporated into precollege classrooms, it is important to explore students' ability to engage in engineering practices. One of these practices, "engaging in argument from evidence," has been well studied in science education. However, it has not yet been fully explored in engineering…
Descriptors: Evidence Based Practice, Logical Thinking, Decision Making, Problem Solving
Root, Jenny R.; Ingelin, Bonnie; Cox, Sarah K. – Education and Training in Autism and Developmental Disabilities, 2021
This systematic review provides a synthesis of intervention research that taught mathematical word problem solving skills to students with autism spectrum disorder between 1975 and April of 2020 by evaluating the body of research in terms of "what works", "for whom" and "under what conditions". The Council for…
Descriptors: Mathematics Instruction, Word Problems (Mathematics), Autism, Pervasive Developmental Disorders
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Yakubova, Gulnoza; Hughes, Elizabeth M.; Baer, Briella L. – Preventing School Failure, 2020
With the increasing attention and surge of empirical research in providing academic instruction for students with autism spectrum disorder (ASD) comes the need to provide teachers with research-supported strategies. Using one evidence-based strategy for teaching mathematics to students with high incidence disabilities, and another for teaching…
Descriptors: Autism, Pervasive Developmental Disorders, Video Technology, Mathematics Instruction
Booth, Julie L.; McGinn, Kelly M.; Young, Laura K.; Barbieri, Christina – Grantee Submission, 2015
Findings from the fields of cognitive science and cognitive development propose a variety of evidence-based principles for improving learning. One such recommendation is that instead of having students practice solving long strings of problems on their own after a lesson, worked-out examples of problem solutions should be incorporated into…
Descriptors: STEM Education, Problem Solving, Models, Textbooks