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Towards an Integrated Specialized Learning Application (ISLA) to Support High Functioning ASD Children in Mathematics Learning

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Design for Teaching and Learning in a Networked World (EC-TEL 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9307))

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Abstract

Autism spectrum disorder (ASD) is a neurological disorder affecting the way in which the brain processes information. It can affect all aspects of a person’s development. Autism is characterized by impairments in learning and communication, in the social interaction, imaginative ability as well as in repetitive and restricted patterns of behavior (Diagnostic and statistical manual of mental disorders: DSM-IV [12]). This research contributes to the advancement of intelligent tutoring systems by proposing a computational model in the field of specialized education in order to overcome the lack of individualized intervention, such as in the specialized education of individuals with autism. The affective intelligent tutoring system ISLA is an adaptive application evolving along with the learner’s needs. ISLA is unique and its contribution entails the model of accompaniment to help autistic children manage their emotions by analyzing the learning trace and considering the student’s current performance to respond accordingly to it during a mathematical learning situation such as addition.

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References

  1. Aleven, V., McLaren, B.M., Sewall, J., Koedinger, K.R.: The cognitive tutor authoring tools (CTAT): preliminary evaluation of efficiency gains. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 61–70. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  2. Arroyo, I., Cooper, D.G. Burleson, W., Woolf, B.P., Muldner, K., Christopherson, R.: Emotion sensors go to school. In: Proceeding of AIED 2009, pp. 17–24, Brighton. IOS Press, Amsterdam (2009)

    Google Scholar 

  3. Azevedo, R.: Theoretical, methodological, and analytical challenges in the research of metacognition and self-regulation: a commentary. Metacognition Learn. 4, 87–95 (2009)

    Article  Google Scholar 

  4. Baron-Cohen, S., Leslie, A.M., Frith, U.: Does the autistic child have a theory of mind? Cognition 21(1), 37–46 (1985)

    Article  Google Scholar 

  5. Bloom, B.S.: The 2 sigma problem: the search for methods of group instruction as effective as one-to-one tutoring (1984)

    Google Scholar 

  6. Bruner, J.S.: On Knowing: Essays for the Left Hand. Harvard University Press, Cambridge (1966)

    Google Scholar 

  7. Bull, S., Kay, J.: Open learner models. In: Nkambou, R., Bourdeau, J., Mizoguchi, R. (eds.) Advances in Intelligent Tutoring Systems, pp. 318–338. Springer, Berlin (2010)

    Google Scholar 

  8. Centre for Disease Control (CDC): cdc.gov

    Google Scholar 

  9. Chalfoun, P., Frasson, C.: Optimal affective conditions for subconscious learning in a 3D intelligent tutoring system. In: Jacko, J.A. (ed.) HCI International 2009, Part IV. LNCS, vol. 5613, pp. 39–48. Springer, Heidelberg (2009)

    Google Scholar 

  10. Shalom, D.B., Mostofsky, S.H., Hazlett, R.L., Goldberg, M.C., Landa, R.J., Faran, Y., McLeod, D.R., Hoehn-Saric, R.: Normal physiological emotions but differences in expression of conscious feelings in children with high-functioning autism (2006)

    Google Scholar 

  11. Das, J.P., Naglieri, J.A., Kirby, J.R.: Assessment of Cognitive Processes. Developmental disabilities monitoring (ADDM) (1994)

    Google Scholar 

  12. Diagnostic and statistical manual of mental disorders: DSM-IV. American Psychiatric Association (2000)

    Google Scholar 

  13. D’Mello, S.K., Craig, S.D., Gholson, B.F.S., Picard, R.W.: Interacting effects sensors in an intelligent tutoring systems. In: Affective Interactions: The Computer in the Affective Loop Workshop (2005)

    Google Scholar 

  14. Frith U.: Interacting minds. Biological Basis Review (1999)

    Google Scholar 

  15. Graesser, A.C., Moreno, K., Marineau, J., Adcock, A., Olney, A., Person, N.: AutoTutor improves deep learning of computer literacy: is it the dialogue or the talking head? In: Proceedings of Artificial Intelligence in education, pp 47–54. IOS Press, Amsterdam (2003)

    Google Scholar 

  16. Green, J., et al.: Parent-mediated communication-focused treatment in children with autism (2010)

    Google Scholar 

  17. Seip, J.: Teaching the autistic and developmentally delayed: A guide for staff training and development (1996)

    Google Scholar 

  18. Dautenhahn, K., Werry, I.: Towards Interactive Robots in Autism Therapy. University of Hertfordshire (2004)

    Google Scholar 

  19. Lajoie, S.P., Lesgold, A.: Apprenticeship training in the workplace: computer coached practice environment as a new form of apprenticeship. Mach. Mediated Learn. 3, 7–28 (1989)

    Google Scholar 

  20. Mitchell, P., Parsons, S., Leonard, A.: Using virtual technologies environments for teaching to adolescents with ASD (2007)

    Google Scholar 

  21. Mottron, L., Belleville, S.: A study of perceptual analysis in a high-level autistic subject with exceptional graphic abilities. Brain Cogn. 23, 279–309 (1993)

    Article  Google Scholar 

  22. National Center for Education Statistics (NCES)-2009-nces.ed.gov

    Google Scholar 

  23. National Research Council: Educating Children With Autism. National Academy Press, Washington, DC (2001)

    Google Scholar 

  24. Nkambou, R.: Towards affective intelligent tutoring system. In: ITS 2006 Workshop on Motivational and Affective Issues in ITS, Taiwan (2006)

    Google Scholar 

  25. Ekman, P., Saron, C.D., Senulis, J.A., Friesen, W.V.: Approach/withdrawal and cerebral asymmetry: Emotional expression and brain physiology. Int. J. Pers. Soc. Psychol. (1992)

    Google Scholar 

  26. Postka, J., Massey, L.D., Mutter, S.A.: Intelligent Tutoring Systems, Lessons Learned. Laurence Erlbaum, Hillsdale (1988)

    Google Scholar 

  27. Picard, R.W.: Future affective technology for autism and emotion communication. Philos. Transa. R. Soc. B Biol. Sci. 364(1535), 3575–3584 (2009)

    Article  Google Scholar 

  28. Schraw, G (1998), Promoting general metacognitive awareness, Instructional Science 26

    Google Scholar 

  29. Skinner, B.F.: Verbal Behaviour. Prentice Hall, New York (1957)

    Book  Google Scholar 

  30. Tchetagni, J., Nkambou, R., Bourdeau, J.: A framework to specify a cognitive diagnosis component in ILES. J. Interact. Learn. Res. 17(3), 269–293 (2006)

    Google Scholar 

  31. Tindal, G.A., Marston, D.B.: Classroom-Based Assessment. Merrill, Columbus (1990)

    Google Scholar 

  32. Tomasello, M.: Joint attention as social cognition. In: Moore, C., Dunham, P.J. (eds.) Joint Attention: Its Origin and Role in Development, pp. 103–130. Cambridge University Press, Cambridge (1995)

    Google Scholar 

  33. VanLehn, K., Lynch, C., Schulze, K., Shapiro, J.A., et al.: The andes physics tutoring system: lessons learned. Int. J. Artif. Intell. Educ. 15(3), 678–685 (2005)

    Google Scholar 

  34. VanLehn, K.: The behaviour of tutoring systems. Int. J. Artif. Intell. Educ. 16(3), 227–265 (2006)

    Google Scholar 

  35. Woolf, B., Arroyo L., Muldner, K., Burleson, W., Cooper, D., Dolan, R., Christopherson, R.: The effect of motivational learning companions on low high achieving students and students with learning disabilities. In: International Conference on Intelligent Tutoring Systems, Pittsburgh (2010)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Université de Québec à Montréal (UQAM), Montreal, Canada

    Aydée Liza Mondragon, Roger Nkambou & Pierre Poirier

Authors
  1. Aydée Liza Mondragon
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  2. Roger Nkambou
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  3. Pierre Poirier
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Corresponding author

Correspondence to Aydée Liza Mondragon .

Editor information

Editors and Affiliations

  1. University of Bath Spa, Bath, UK

    Gráinne Conole

  2. Jožef Stefan Institute, Ljubljana, Slovenia

    Tomaž Klobučar

  3. Technische Universität Darmstadt, Darmstadt, Germany

    Christoph Rensing

  4. Technische Universität Darmstadt, Darmstadt, Germany

    Johannes Konert

  5. IAE Lyon, Université Jean Moulin Lyon 3, Lyon, France

    Elise Lavoué

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Mondragon, A.L., Nkambou, R., Poirier, P. (2015). Towards an Integrated Specialized Learning Application (ISLA) to Support High Functioning ASD Children in Mathematics Learning. In: Conole, G., Klobučar, T., Rensing, C., Konert, J., Lavoué, E. (eds) Design for Teaching and Learning in a Networked World. EC-TEL 2015. Lecture Notes in Computer Science(), vol 9307. Springer, Cham. https://doi.org/10.1007/978-3-319-24258-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-24258-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24257-6

  • Online ISBN: 978-3-319-24258-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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