Autism and Web-Based Learning: Review and Evaluation of Web Apps

  • Andrés Larco
  • Esteban Diaz
  • Cesar Yanez
  • Sergio Luján-Mora
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)

Abstract

Challenges with social skills are the main barrier of people with autism preventing them to be independent adults. However, information and communication technology can help individuals with autism by developing and practicing essential social skills. The objective of this research was reviewing and evaluating web apps for people with autism using Mobile App Rating Scale. The review used a set of free apps from Doctor TEA and Pictoaplicaciones. Based on these websites, a total of 65 apps were evaluated using Mobile App Rating Scale. The results showed that twenty-five apps had an acceptable quality with scores over four. Therefore, the use of these apps could be recommended for therapists, parents, and people with autism. The app list generated by this research can be used as a complementary resource in the educational field targeting specific skills needed by people with autism to overcome different social situations.

Keywords

Autism Web apps Internet Quality evaluation 

References

  1. 1.
    Myers, S.M., Johnson, C.P., The Council on Children With Disabilities: Management of children with autism spectrum disorders. Pediatrics 120, 1162–1182 (2007)CrossRefGoogle Scholar
  2. 2.
    National Institute of Mental Health: Autism Spectrum Disorder. https://www.nimh.nih.gov/health/topics/autism-spectrum-disorders-asd/index.shtml
  3. 3.
    Hourcade, J.P., Williams, S., Miller, E., Liang, L., Huebner, K.: Evaluation of tablet apps to encourage social interaction in children with autism spectrum disorders. In: Changing Perspectives, CHI 2013, Paris, France, pp. 3197–3206 (2013)Google Scholar
  4. 4.
    Konstantinidis, E., Luneski, A., Frantzidis, C.A., Nikolaidou, M.M., Hitoglou-Antoniadou, M., Bamidis, P.: Information and communication technologies (ICT) for enhanced education of children with autism spectrum disorders. White Rose Research Online, New York (2009)Google Scholar
  5. 5.
    Zaffke, A., Jain, N., Johnson, N., Alam, M.A.U., Magiera, M., Ahamed, S.I.: iCanLearn: a mobile application for creating flashcards and social storiesTM for children with autism. In: Bodine, C., Helal, S., Gu, T., Mokhtari, M. (eds.) Smart Homes and Health Telematics, pp. 225–230. Springer, Cham (2015)CrossRefGoogle Scholar
  6. 6.
    Boyd, T.K., Hart Barnett, J.E., More, C.M.: Evaluating iPad technology for enhancing communication skills of children with autism spectrum disorders. Interv. Sch. Clin. 51, 19–27 (2015)CrossRefGoogle Scholar
  7. 7.
    Pérez, I., Alonso, O.: Intervención En Comunicación Y Lenguaje En Distintos Entornos Para Mejorar Las Posibilidades De Los Niños Con Autismo. In: Libro de actas de X Congreso Nacional de Autismo, Vigo, Spain (2006)Google Scholar
  8. 8.
    Jordan, C.J.: Evolution of autism support and understanding via the world wide web. Intellect. Dev. Disabil. 48, 220–227 (2010)CrossRefGoogle Scholar
  9. 9.
    Albinali, F., Goodwin, M.S., Intille, S.S.: Recognizing stereotypical motor movements in the laboratory and classroom: a case study with children on the autism spectrum. In: Proceedings of the 11th International Conference on Ubiquitous Computing, pp. 71–80. ACM (2009)Google Scholar
  10. 10.
    González Reyes, A., André Ampuero, M., Hernández González, A.: Análisis comparativo de modelos y estándares para evaluar la calidad del producto de software. Revista Cubana de Ingeniería VI (2015)Google Scholar
  11. 11.
    Olsina, L., Covella, G., Rossi, G.: Web quality. In: Web Engineering, pp. 109–142 (2006)Google Scholar
  12. 12.
    Stoyanov, S.R., Hides, L., Kavanagh, D.J., Zelenko, O., Tjondronegoro, D., Mani, M.: Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR mHealth and uHealth 3, e27 (2015)CrossRefGoogle Scholar
  13. 13.
    Abrahamyan, S., Murgante, B., Misra, S., Rocha, A.M.A.C., Torre, C.M., Taniar, D., Apduhan, B.O., Stankova, E., Wang, S., Gervasi, O., Balyan, S., Muradov, A., Korkhov, V., Moskvicheva, A., Jakushkin, O.: Development of m-health software for people with disabilities. In: Computational Science and Its Applications, ICCSA 2016, pp. 468–479. Springer, Cham (2016)CrossRefGoogle Scholar
  14. 14.
    Raposo-Rivas, M., Rodríguez, A.B.S.: Estudio sobre la intervención con Software educativo en un caso de TDAH. Revista de Educación Inclusiva 8, 121–138 (2015)Google Scholar
  15. 15.
    García Guillén, S., Garrote Rojas, D., Jiménez Fernández, S.: Uso de las TIC en el Trastorno de Espectro Autista: aplicaciones. Revista de Educación Mediática y TIC, 134–157 (2016)CrossRefGoogle Scholar
  16. 16.
    Martínez, J.L., Pagán, F.J.B., García, S.A., Máiquez, M.C.C.: Las tecnologías de la información y comunicación (TIC) en el proceso de enseñanza y aprendizaje del alumnado con trastorno del espectro autista (TEA). Revista Fuentes, 193–208 (2016)Google Scholar
  17. 17.
    Bayardo, M.G.M.: Educación de calidad y competencias para la vida. Revista Educar 35, 25–32 (2005)Google Scholar
  18. 18.
  19. 19.
    Larco, A., Yanez, C., Montenegro, C., Luján-Mora, S.: Moving beyond limitations: evaluating the quality of android apps in Spanish for people with disability. In: Proceedings of the International Conference on Information Technology and Systems, ICITS 2018, pp. 640–649. Springer, Cham (2018)CrossRefGoogle Scholar
  20. 20.
    Larco, A., Diaz, E., Luján-Mora, S.: Tecnologías para romper barreras: Evaluación de calidad de aplicaciones para personas con autismo. In: Libro de Actas de ATICA2017 Tecnología. Accesibilidad. Educar en la sociedad red, pp. 292–299, Medellín, Colombia (2017)Google Scholar
  21. 21.
  22. 22.
  23. 23.
    UsabilityNet: usability resources for practitioners and managers. http://www.usabilitynet.org/home.htm
  24. 24.
    Nielsen Norman Group: UX Training, Consulting, and Research. https://www.nngroup.com/
  25. 25.
  26. 26.
    Masterson Creber, R.M., Maurer, M.S., Reading, M., Hiraldo, G., Hickey, K.T., Iribarren, S.: Review and analysis of existing mobile phone apps to support heart failure symptom monitoring and self-care management using the mobile application rating scale (MARS). JMIR mHealth and uHealth. 4, e74 (2016)CrossRefGoogle Scholar
  27. 27.
    Koo, T.K., Li, M.Y.: A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropractic Med. 15, 155–163 (2016)CrossRefGoogle Scholar
  28. 28.
    Gupta, S.K.: The relevance of confidence interval and P-value in inferential statistics. Indian J. Pharmacol. 44, 143–144 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Andrés Larco
    • 1
  • Esteban Diaz
    • 1
  • Cesar Yanez
    • 1
  • Sergio Luján-Mora
    • 2
  1. 1.Departamento de Informática y Ciencias de la ComputaciónEscuela Politécnica NacionalQuitoEcuador
  2. 2.Departamento de Lenguajes y Sistemas InformáticosUniversidad de AlicanteAlicanteSpain

Personalised recommendations