Journal of Autism and Developmental Disorders

, Volume 43, Issue 7, pp 1539–1546 | Cite as

Science, Technology, Engineering, and Mathematics (STEM) Participation Among College Students with an Autism Spectrum Disorder

  • Xin WeiEmail author
  • Jennifer W. Yu
  • Paul Shattuck
  • Mary McCracken
  • Jose Blackorby
Original Paper


Little research has examined the popular belief that individuals with an autism spectrum disorder (ASD) are more likely than the general population to gravitate toward science, technology, engineering, and mathematics (STEM) fields. This study analyzed data from the National Longitudinal Transition Study-2, a nationally representative sample of students with an ASD in special education. Findings suggest that students with an ASD had the highest STEM participation rates although their college enrollment rate was the third lowest among 11 disability categories and students in the general population. Disproportionate postsecondary enrollment and STEM participation by gender, family income, and mental functioning skills were found for young adults with an ASD. Educational policy implications are discussed.


Autism spectrum disorder Postsecondary enrollment College major Young adult Science, Technology, Engineering and Mathematics (STEM) 



This research was supported by Grant HRD-1130088 from the National Science Foundation, Grant R324A120012 from the U.S. Department of Education, Institute of Education Sciences, Autism Speaks, and Grant R01 MH086489 from the National Institute of Mental Health. However, any opinions expressed are those of the authors and do not represent the positions or polices of the funding agencies.


  1. Banda, D. R., & Kubina, R. M. (2010). Increasing academic compliance to math tasks using the high-preference strategy in a student with autism. Preventing School Failure, 54, 81–85.CrossRefGoogle Scholar
  2. Banda, D. R., Neisworth, J. T., & Lee, D. L. (2003). High probability request sequences and young children: enhancing compliance. Child and Family Behavior Therapy, 25, 17–29.CrossRefGoogle Scholar
  3. Baron-Cohen, S. (2006). The hyper-systemizing, assortative mating theory of autism. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 30(5), 865–872.PubMedCrossRefGoogle Scholar
  4. Baron-Cohen, S. (2009). Autism: The empathizing-systemizing (E-S) theory. Annals of the New York Academy of Science, 1156, 68–80.CrossRefGoogle Scholar
  5. Baron-Cohen, S., Bolton, P., Wheelwright, S., Scahill, V., Short, L., Mead, G., et al. (1998). Does autism occur more often in families of physicists, engineers, and mathematicians? Autism, 2(3), 296–301.CrossRefGoogle Scholar
  6. Baron-Cohen, S., Wheelwright, S., Burtenshaw, A., & Hobson, E. (2007). Mathematical talent is linked to autism. Human Nature, 18(2), 125–131.CrossRefGoogle Scholar
  7. Baron-Cohen, S., Wheelwright, S., Stott, C., Bolton, P., & Goodyer, I. (1997). Is there a link between engineering and autism? Autism, 1(1), 101–109.CrossRefGoogle Scholar
  8. Bertrand, J., Boyle, C., Yeargin-Allsopp, M., Decoufle, P., Mars, A., et al. (2001). Prevalence of autism in a United States population: The brick township, New Jersey, investigation. Pediatrics, 108, 1155–1162.PubMedCrossRefGoogle Scholar
  9. Centers for Disease Control and Prevention. (2012). Prevalence of autism spectrum disorders—Autism and developmental disabilities monitoring network, 14 sites, United States. Morbidity and mortality weekly report Surveillance summaries, 61(No.SS-03), 1–19.Google Scholar
  10. Chakrabarti, S., & Fombonne, E. (2001). Pervasive developmental disorders in preschool children. Journal of the American Medical Association, 285(24), 3093–3099.PubMedCrossRefGoogle Scholar
  11. Chen, X. & Weko, T. (2009). Students who study science, technology, engineering, and mathematics (STEM) in postsecondary education. US. Department of Education, NCES #2009-161. Accessed 26 June 2012.
  12. Donaldson, J. B., & Zagler, D. (2010). Mathematics interventions for students with high-functioning autism/asperger’s syndrome. Teaching Exceptional Children, 42(6), 40–46.Google Scholar
  13. Hart, D., Grigal, M., & Weir, C. (2010). Expanding the paradigm: Postsecondary education options of individuals with autism spectrum disorder and intellectual disabilities. Focus on Autism and Other Developmental Disabilities, 25(3), 134–150.CrossRefGoogle Scholar
  14. Hendricks, D. R., & Wehman, P. (2009). Transition from school to adulthood for youth with autism spectrum disorders. Focus on Autism and Other Developmental Disabilities, 24(2), 77–88.CrossRefGoogle Scholar
  15. Jarrold, C., & Routh, D. A. (1998). Is there really a link between engineering and autism? A reply to Baron-Cohen et al., Autism, 1997, 1(1), 101–109. Autism, 2(3), 281–289.Google Scholar
  16. Moore, A. S. (2006). A dream not denied: Students on the spectrum. New York Times. Accessed 26 June 2012.
  17. Morton, O. (2001). Think different? Wired, 9(12). Accessed 26 June 2012.
  18. Nagle, K., Marder, C., & Schiller, E. (2009). Research in disabilities education program evaluation: Study 1 methods and results. Arlington, VA: SRI International. Accessed 26 June 2012.
  19. National Science Foundation. (2006). Investing in America's future: Strategic plan FY 2006-2011. Washington, DC: National Science Foundation. Accessed 26 June 2012.
  20. National Science Foundation. (2009). Women, minorities, and persons with disabilities in science and engineering: 2009 (NSF 09-305). Arlington, VA: Author. Accessed 26 June 2012.
  21. Roberts, K. D. (2010). Topic areas to consider when planning transition from high school to postsecondary education for students with autism spectrum disorders. Focus on Autism and Other Developmental Disabilities, 25(3), 158–162.CrossRefGoogle Scholar
  22. Ross, P. E. (2006). When engineers’ genes collide. IEEE Spectrum. Accessed 26 June 2012.
  23. Safer, M. (2012, January 15). Jake: Math prodigy proud of his autism. CBC News. Accessed 26 June 2012.
  24. Shattuck, P. T., Narendorf, S. C., Cooper, B., Sterzing, P. R., Wagner, M., & Taylor, J. L. (2012). Postsecondary education and employment among youth with an autism spectrum disorder. Pediatrics,. doi: 10.1542/peds.2011-2864.PubMedGoogle Scholar
  25. Taylor, J. L., & Seltzer, M. M. (2010). Changes in the autism behavioral phenotype during the transition to adulthood. Journal of Autism Developmental Disorders, 40(12), 1431–1446.CrossRefGoogle Scholar
  26. VanBergeijk, E., Klin, A., & Volkmar, F. (2008). Supporting more able students on the autism spectrum: College and beyond. Journal of Autism and Developmental Disorders, 38, 1359–1370.PubMedCrossRefGoogle Scholar
  27. Wagner, M., Kutash, K., Duchnowski, A. J., & Epstein, M. H. (2005). The special education elementary longitudinal study and the national longitudinal transition study: Study designs and implications for children and youth with emotional disturbance. Journal of Emotional and Behavioral Disorder, 13, 25–41.CrossRefGoogle Scholar
  28. Wheelwright, S., & Baron-Cohen, S. (2001). The link between autism and skills such as engineering, maths, physics, and computing: A reply to Jarrold and Routh. Autism, 5(2), 223–227.PubMedCrossRefGoogle Scholar
  29. Windham, G. C., Fessel, K., & Grether, J. K. (2009). Autism spectrum disorders in relation to parental occupation in technical fields. Autism Research, 2, 183–191.PubMedCrossRefGoogle Scholar
  30. Yeargin-Allsopp, M., Rice, C., Karapurkar, T., Doernberg, N., Boyle, C., et al. (2003). Prevalence of autism in a US metropolitan area. Journal of the American Medical Association, 289, 49–55.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Xin Wei
    • 1
    Email author
  • Jennifer W. Yu
    • 1
  • Paul Shattuck
    • 2
  • Mary McCracken
    • 1
  • Jose Blackorby
    • 1
  1. 1.Center for Education and Human ServicesSRI InternationalMenlo ParkUSA
  2. 2.Washington UniversitySt LouisUSA

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