The Adaptation of Academic Skills Assessment Tool for Students with Autism Spectrum Disorders

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Abstract

Development delays in autism spectrum disorders include communication and social interaction deficit, stereotype behavior, cognitive and emotional development challenges. It makes necessary to adapt the academic assessment tools, taking into account the needs of students with ASD. The article is devoted to the description of the procedure of International Performance Indicators in Primary Schools (iPIPS) modification for academic assessment in ASD students enrolled in special education programs of types 8.1 and 8.2 (divided based on intelletual performance level). Presented iPIPS description, detailed analysis of developmental profile in ASD, which can influence the assessment results given. The article discusses adaptation procedure and recommendations for professionals which can be applied depending on the individual characteristics of the student.

General Information

Keywords: autism spectrum disorders (ASD), academic assessment, cognitive development, academic success, iPIPS tool, assessment procedure accommodations, universal assessment design

Journal rubric: Research & Diagnosis of ASD

Article type: scientific article

DOI: https://doi.org/10.17759/autdd.2021190402

Funding. The research carried out within the state assignment of Ministry of Education of the Russian Federation No. 073-00041- 21-05 dated 14.07.2021 «Comprehensive support to children with ASD in the frames of the evidence-based approach»

Received: 06.11.2021

Accepted:

For citation: Pereverzeva D.S., Tyushkevich S.A., Braginets E.I. The Adaptation of Academic Skills Assessment Tool for Students with Autism Spectrum Disorders. Autizm i narusheniya razvitiya = Autism and Developmental Disorders, 2021. Vol. 19, no. 4, pp. 15–23. DOI: 10.17759/autdd.2021190402. (In Russ., аbstr. in Engl.)

References

  1. Braginets E.I. Primenenie universal’nogo dizaina otsenivaniya dlya spravedlivogo testirovaniya detei s narusheniyami chteniya [Application of a universal design for assessment for fair testing of children with reading disabilities]. Sovremennaya zarubezhnaya psikhologiya [Journal of Modern Foreign Psychology], 2018. Vol. 7, no. 3, pp. 28—37. DOI:10.17759/ jmfp.2018070303
  2. Ivanova A., Nisskaya A. Startovaya diagnostika detei na vkhode v nachal’nuyu shkolu: mezhdunarodnoe issledovanie iPIPS [Initial diagnosis of children at the beginning of primary school: an international study iPIPS]. Shkol’nye tekhnologii [School Technologies], 2015. no. 2, pp. 161—168
  3. Kardanova E.Yu. [i dr.] Obobshennye tipy razvitiya pervoklassnikov na vhode v shkolu po materialam issledovniya iPIPS [Generalized types of development of first-graders at the entrance to the school based on iPIPS research]. Voprosy obrazovaniya [Educational Stadies Moscow], 2018, no 1. pp. 8—37.
  4. Pereverzeva D.S. [i dr.] Effektivnoe otsenivanie akademicheskoi uspeshnosti u detei s rasstroistvami autisticheskogo spektra [Effective Academic Performance Assessment in Children with Autism Spectrum Disorders]. Psikhologicheskaya nauka i obrazovanie [Psychological Science and Education], 2020. Vol. 25, no. 1, pp. 16—25. DOI:10.17759/pse.2020250102
  5. Gorbachevskaya N.L. [i dr.] Faktory, vliyayushchie na uspeshnost’ preodoleniya rasstrojstv autisticheskogo spektra [Factors Influencing the Success Of Autism Spectrum Disorders Overcoming]. Autizm i narushenie razvitia [Autism and Developmental Disorders], 2016. Vol. 14, no. 4, pp. 39—50. DOI:10.17759/autdd.2016140407
  6. Khouker D., Kardanova E.Yu. Startovaya diagnostika detei na vkhode v nachal’nuyu shkolu i otsenka ikh progressa v techenie pervogo goda obucheniya: mezhdunarodnoe issledovanie [Initial diagnosis of children at the entrance to primary school and assessment of their progress during the first year of study: an international iPIPS study]. Materialy XII konferentsii «Tendentsii razvitiya obrazovaniya. Chto takoe effektivnaya shkola i effektivnyi detskii sad?» (g. Moscow, 19—20 fevralya 2015) [Proceedings of the XII conference on Tendencies of education development. What is effective school and children garden]. Moscow: Publ. dom «Delo» RANKhiGS, 2015, pp. 311—320.
  7. Barrouillet P., Camos V. The time-based resource-sharing model of working memory. The cognitive neuroscience of working memory / Osaka N., Logie R., D’Esposito M. (Eds.). Oxford: Oxford University Press. 2007. P. 59—80.
  8. Brown T.E., Reichel P.C., Quinlan D.M. Extended time improves reading comprehension test scores for adolescents with ADHD. Open Journal of Psychiatry, 2011. Vol. 1 (03), pp. 79—87. DOI:10.4236/jsemat.2011.13012
  9. Charman T. et al. IQ in children with autism spectrum disorders: data from the Special Needs and Autism Project (SNAP). Psychological Medicine, 2011. Vol. 41 (3), pp. 619—627. DOI:10.1017/S0033291710000991
  10. Christensen D.L. et al. Prevalence and characteristics of autism spectrum disorder among children aged 8 years. Journal of Autism and Developmental Disabilities, 2016. Vol. 65 (3), pp. 1—23. DOI:10,15585/mmwr.ss6513a1
  11. Conway A.R., Kane M.J., Engle R.W. Working memory capacity and its relation to general intelligence. Trends of Cognitive Sciences, 2003. Vol. 7 (12), pp. 547—552. DOI:10.1016 / j.tics.2003.10.005
  12. Desaunay P. et al. Memory in autism spectrum disorder: A meta-analysis of experimental studies. Psychol Bull, 2020. Vol. 146 (5), pp. 377-410. DOI: 10.1037/bul0000225
  13. Elliott S.N., Kratochwill T.R., Schulte A.G. The Assessment Accommodation Checklist: Who, What, Where, When, Why, and How? Teaching Exceptional Children, 1998. Vol. 31 (2), pp. 10. DOI.org/10.1177/004005999803100202
  14. Johnson C.N., et al. Cognitive correlates of autism spectrum disorder symptoms. Autism Res. 2021. Vol. 14 (11), pp. 2405— 2411. DOI: 10.1002/aur.2577
  15. Lewandowski L., et al. The effects of extended time on mathematics performance of students with and without attention deficit hyperactivity disorder. Journal of Psychoeducational Assessment, 2007. Vol. 25, pp. 17—28. DOI. org/10.1177/0734282912462693
  16. Li HH., et al. A Developmental Profile of Children With Autism Spectrum Disorder in China Using the Griffiths Mental Development Scales. Front Psychol, 2020. Vol. 11, p. 570923. DOI: 10.3389/fpsyg.2020.570923
  17. Nader A.M., et al. Does WISC-IV underestimate the intelligence of autistic children? Journal of Autism and Developmental Disabilities, 2016. Vol. 46, pp. 1582—1589. DOI:10.1007/s10803-014-2270-z.
  18. Nader A.M., Jelenic P., Soulières I. Discrepancy between WISC-III and WISC-IV cognitive profile in autism spectrum: What does it reveal about autistic cognition? PLoS ONE, 2015. Vol. 10 (12). e0144645. DOI:10.1371/journal. pone.0144645
  19. Oliveras-Rentas R.E. et al. WISC-IV profile in high-functioning autism spectrum disorders: Impaired processing speed is associated with increased autism communication symptoms and decreased adaptive communication abilities. Journal of Autism and Developmental Disabilities, 2012. Vol. 42, pp. 655—664. DOI: 10.1007/s10803-011-1289-7
  20. Pitoniak M., Royer J. Testing Accommodations for Examinees With Disabilities: A Review of Psychometric, Legal, and Social Policy Issues. Review of Educational Research, 2001. Vol. 71, pp. 53—104. DOI: 10.3102/00346543071001053
  21. Rabiee A., et al. The cognitive profile of people with high-functioning autism spectrum disorders. Behav Sci (Basel), 2019. Vol. 9 (2), p. 20. DOI: 10.3390/bs9020020
  22. Smith G.W., Riccomini P.J. The effect of a noise reducing test accommodation on elementary students with learning disabilities. Learning Disabilities Research and Practice, 2013. Vol. 28 (2), pp. 89—95. DOI:10.1111/ldrp.12010
  23. Tindal G. Accommodating students with disabilities on large-scale tests: an experimental study. Exceptional Children, 1998. Vol. 64 (4), pp. 439—450.
  24. Tymms P. Baseline Assessment and Monitoring in Primary Schools: Achievements, Attitudes and Value- added Indicators. London: David Fulton Publishers, 1999.
  25. Vaughan C.G., et al. The relation between testing environment and baseline performance in child and adolescent concussion assessment. The American Journal of Sports Medicine, 2014. Vol. 42 (7), pp. 1716—1723. DOI:10.1177/0363546514531732

Information About the Authors

Darya S. Pereverzeva, PhD in Psychology, Senior Researcher of the Federal Resource Center for Organization of Comprehensive Support to Children with Autism Spectrum Disorders, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-6881-3337, e-mail: dasha.pereverzeva@gmail.com

Svetlana A. Tyushkevich, PhD in Psychology, Senior Researcher of the scientific laboratory of the Federal Resource Center for Organization of Comprehensive Support to Children with ASD, Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-9029-2830, e-mail: tyushkevichsv@yandex.ru

Ekaterina I. Braginets, PhD Student, Center for Education Quality Monitoring, Institute of Education, National Research University «Higher School of Economics», Moscow, Russia, ORCID: https://orcid.org/0000-0002-6703-4761, e-mail: ebraginets@hse.ru

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