Effects of video modeling on addition word-problem performance of students with autism spectrum disorder

References

• American Psychiatric Association (APA). 2013. Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author.
   Google Scholar
• Archer, A. L. and Hughes, C. A. 2011. Explicit instruction: Effective and efficient teaching. New York: Guilford Press
   Google Scholar
• Bellini, S. and Akullian, J. 2007. A meta-analysis of video modeling and video self-modeling interventions for children and adolescents with autism spectrum disorders. Exceptional Children, 73, 264–287.
   Web of Science ®Google Scholar
• Bennett, K. D., Aljehany, M. S. and Altaf, E. M. 2017. Systematic review of video-based instruction component and parametric analysis. Journal of Special Education Technology, 32, 80–90.
   Web of Science ®Google Scholar
• Boucenna, S., Narzisi, A., Tilmont, E., Muratori, F., Pioggia, G., Cohen, D. and Chetouani, M. 2014. Interactive technologies for autistic children: a review. Cognitive Computation, 6, 722–740.
   Web of Science ®Google Scholar
• Bouck, E. C., Satsangi, R., Doughty, T. and Courtney, W. 2014. Virtual and concrete manipulatives: a comparison of approaches for solving mathematics problems for students with autism spectrum disorders. Journal of Autism and Developmental Disorders, 44, 180–193.
   PubMed Web of Science ®Google Scholar
• Burton, C. E., Anderson, D. H., Prater, M. A. and Dyches, T. T. 2013. Video self-modeling on an iPad to teach functional math skills to adolescents with autism and intellectual disability. Focus on Autism and Other Developmental Disabilities, 28, 67–77.
   Web of Science ®Google Scholar
• Cihak, D. F. and Bowlin, T. 2009. Using video-modeling via handheld computers to improve geometry skills for high school students with learning disabilities. Journal of Special Education Technology, 24, 17–29.
   Google Scholar
• Cihak, D. F., Fahrenkrog, C., Ayres, K. M. and Smith, C. 2010. The use of video modeling via a video iPod and a system of least prompts to improve transitional behaviors for students with autism spectrum disorders in the general education classroom. Journal of Positive Behavior Interventions, 12, 103–115.
   Web of Science ®Google Scholar
• Gast, D. L. 2010. Single Subject Research Methodology in Behavioral Sciences. New York, NY: Routledge.
   Google Scholar
• Gast, D. L. and Ledford, J. R. 2010. Multiple baseline and multiple probe designs. In: D. L. Gast, ed. Single subject research methodology in behavioral sciences. New York, NY: Routledge.
   Google Scholar
• Gast, D. L., and Ledford, J. R., eds. 2014. Single case research methodology: Applications in special education and behavioral sciences. 2nd ed.  New York, NY: Routledge.
   Google Scholar
• Gevarter, C., Bryant, D. B., Bryant, B., Watkins, L., Zamora, C. and Sammarco, N. 2016. Mathematics interventions for individuals with autism spectrum disorder; a systematic review. Review Journal of Autism and Developmental Disorders, 3, 224–238.
   Web of Science ®Google Scholar
• Gilliam, J. 2006. GARS-2: Gilliam Autism Rating Scale. 2nd ed. Austin, TX: PRO-ED.
   Google Scholar
• Gresham, F. M. 1983. Social validity in the assessment of children’s social skills: establishing standards for social competency. Journal of Psychoeducational Assessment, 1, 299–307.
   Google Scholar
• Hart, J. E. and Whalon, K. J. 2008. Promote academic engagement and communication of students with autism spectrum disorder in inclusive settings. Intervention in School and Clinic, 44, 116–120.
   Web of Science ®Google Scholar
• Hart-Barnett, J. E. and Cleary, S. 2015. Review of evidence-based mathematics interventions for students with autism spectrum disorders. Education and Training in Autism and Developmental Disabilities, 50, 172–185.
   Web of Science ®Google Scholar
• Hughes, E. M. and Yakubova, G. 2016. Developing handheld video intervention for students with autism spectrum disorder. Intervention in School and Clinic, 52, 115–121.
   Web of Science ®Google Scholar
• Jowett, E. L., Moore, D. W. and Anderson, A. 2012. Using an iPad-based video modelling package to teach numeracy skills to a child with an autism spectrum disorder. Developmental Neurorehabilitation, 15, 304–312.
   PubMed Web of Science ®Google Scholar
• Keen, D., Webster, A. and Ridley, G. 2016. How well are children with autism spectrum disorder doing academically at school? An overview of the literature. Autism, 20, 276–294.
   PubMed Web of Science ®Google Scholar
• Kellems, R. O., Mourra, K. M., Morgan, R. L., Riesen, T., Glasgow, M. and Huddleston, R. 2016. Video modeling and prompting in practice: teaching cooking skills. Career Development and Transition for Exceptional Individuals, 39, 185–190.
   Google Scholar
• King, S. A., Lemons, C. J. and Davidson, K. A. 2016. Math intervention for students with autism spectrum disorder: a best-evidence synthesis. Exceptional Children, 82, 443–462.
   Web of Science ®Google Scholar
• Knight, V. F., Kuntz, E. M. and Brown, M. 2018. Paraprofessional-delivered video prompting to teach academics to students with severe disabilities in inclusive settings. Journal of Autism and Developmental Disorders, 48, 2203–2216.
   PubMed Web of Science ®Google Scholar
• Kratochwill, T. R., Levin, J. R., Horner, R. H. and Swoboda, C. 2014. Visual analysis of single-case intervention research: conceptual and methodological considerations. In: T. R. Kratochwill and J. R. Levin, eds. Single-case intervention research: Methodological and statistical advances. Washington, DC: American Psychological Association.
   Google Scholar
• Mason, R. A., Davis, H. S., Boles, M. B. and Goodwyn, F. 2013. Efficacy of point-of-view video modeling: a meta-analysis. Remedial and Special Education, 34, 333–345.
   Web of Science ®Google Scholar
• McLeskey, J., Barringer, M. D., Billingsley, B., Brownell, M., Jackson, D., Kennedy, M. and Ziegler, D. 2017. High-leverage practices in special education. Arlington, VA: Council for Exceptional Children & CEEDAR Center.
   Google Scholar
• National Autism Center. 2015. Findings and conclusions: National standards project Phase 2. Randolph, MA: Author.
   Google Scholar
• National Mathematics Advisory Panel (NMAP). 2008. Foundations for Success: The Final Report of the National Mathematics Advisory Panel. Washington DC: U.S. Department of Education.
   Google Scholar
• Okamoto, Y. 1996. Modeling children's understanding of quantitative relations in texts: a developmental perspective. Cognition and Instruction, 14, 409–440.
   Web of Science ®Google Scholar
• Parker, R. I., Vannest, K. J. and Brown, L. M. 2009. The improvement rate difference for single case research. Exceptional Children, 75, 135–150.
   Web of Science ®Google Scholar
• Root, J. R. 2019. Effects of explicit instruction on acquisition and generalization of mathematical concepts for a student with autism spectrum disorder. Research in Autism Spectrum Disorders, 57, 1–6.
   Web of Science ®Google Scholar
• Root, J. R. and Browder, D. 2019. Algebraic problem solving for middle school students with autism and intellectual disability. Exceptionality, 27, 118–132.
   Web of Science ®Google Scholar
• Root, J. R., Browder, D., Saunders, A. F. and Lo, Y. 2017. Schema-Based instruction with concrete and virtual manipulatives to teach problem solving to students with autism. Remedial and Special Education, 38, 42–52.
   Web of Science ®Google Scholar
• Root, J. R., Henning, B. and Boccumini, E. 2018. Teaching students with autism and intellectual disability to solve algebraic word problems. Education and Training in Autism and Developmental Disabilities, 53, 325–338.
   Web of Science ®Google Scholar
• Riccomini, P. J., Morano, S. and Hughes, C. A. 2017. Big ideas in special education: specially designed instruction, high-leverage practices, explicit instruction, and intensive instruction. Teaching Exceptional Children, 50, 20–27.
   Web of Science ®Google Scholar
• Sanders, S., Riccomini, P. J. and Witzel, B. 2005. The algebra readiness of high school students in South Carolina: implications for middle school math teachers. South Carolina Middle School Association Journal, 8, 45–47.
   Google Scholar
• Spencer, V. G., Evmenova, A. S., Boon, R. T. and Hayes-Harris, L. 2014. Review of research-based interventions for students with autism spectrum disorders in content area instruction: implications and considerations for classroom practice. Education and Training in Autism and Development Disabilities, 49, 331–353.
   Web of Science ®Google Scholar
• Wechsler, W. 1974. The Wechsler Intelligence Scale for Children-revised. New York, NY: Psychological Corporation.
   Google Scholar
• Wei, X., Christiano, E. R., Yu, J. W., Wagner, M. and Spiker, D. 2015. Reading and math achievement profiles and longitudinal growth trajectories of children with an autism spectrum disorder. Autism, 19, 200–210.
   PubMed Web of Science ®Google Scholar
• Wei, X., Lenz, K. B. and Blackorby, J. 2013. Math growth trajectories of students with disabilities: disability category, gender, racial, and socioeconomic status differences from ages 7 to 17. Remedial and Special Education, 34, 154–165.
   Web of Science ®Google Scholar
• Weng, P. and Bouck, E. C. 2014. Using video prompting via iPads to teach price comparison to adolescents with autism. Research in Autism Spectrum Disorders, 8, 1405–1415.
   Web of Science ®Google Scholar
• Wolf, M. M. 1978. Social validity: the case for subjective measurement or how applied behavior analysis is finding its heart. Journal of Applied Behavior Analysis, 11, 203–214.
   PubMed Web of Science ®Google Scholar
• Yakubova, G., Hughes, E. M. and Hornberger, E. 2015. Video-based intervention in teaching fraction problem-solving to students with autism spectrum disorder. Journal of Autism and Developmental Disorders, 45, 2865–2875.
   PubMed Web of Science ®Google Scholar
• Yakubova, G., Hughes, E. M. and Shinaberry, M. 2016. Learning with technology: video modeling with concrete-representational-abstract sequencing for students with autism spectrum disorder. Journal of Autism and Developmental Disorders, 46, 2349–2362.
   PubMed Web of Science ®Google Scholar