Using Technology to Support Academic Learning

Author:

Kroesch Allison M.1ORCID,Jozwik Sara2,Douglas Karen H.3,Chung Yun-Ching1,Uphold Nicole M.4,Baker Emilee5

Affiliation:

1. Illinois State University, Normal, USA

2. University of Wisconsin-Milwaukee, USA

3. Radford University, VA, USA

4. Coastal Carolina University, Conway, SC, USA

5. Syracuse University, NY, USA

Abstract

We conducted this systematic literature review to summarize single-case intervention studies in which academic instruction incorporated assistive and instructional technology for students with complex support needs. Thirty studies, published between 2012 and 2019, were included in the review and evaluated for methodological rigor. Of the 97 student participants across all studies, most received language arts instruction in self-contained elementary classrooms. The majority of interventions used instructional technology on mobile devices in conjunction with systematic instruction focusing on teaching word recognition or letter identification skills. We discuss the key findings with recommendations for future research, and implications for practice.

Publisher

SAGE Publications

Subject

Rehabilitation,Education

Reference69 articles.

1. *Ahlgrim-Delzell L., Browder D., Wood L. (2014). Effects of systematic instruction and an augmentative communication device on phonics skills acquisition for students with moderate intellectual disability who are nonverbal. Education and Training in Autism and Developmental Disabilities, 49(4), 517–532. https://www.jstor.org/stable/24582348

2. Technology-Based Shared Story Reading for Students With Autism Who Are English-Language Learners

3. Comparative Observations of Learning Engagement by Students With Developmental Disabilities Using an iPad and Computer: A Pilot Study

4. Effects of an App Incorporating Systematic Instruction to Teach Spelling to Students With Developmental Delays

5. Technology-Aided Instruction and Intervention for Students With ASD: A Meta-Analysis Using Novel Methods of Estimating Effect Sizes for Single-Case Research

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