UAHCI 2013: Universal Access in Human-Computer Interaction. Applications and Services for Quality of Life pp 231-240 | Cite as
Addressing Learning Disabilities in Ambient Intelligence Educational Environments
Abstract
Learning disabilities (LD) affect not only an individual’s academic skills, but also many aspects of life for a large population percentage. As a result, understanding individuals with learning disabilities and addressing their needs is an active topic of research, although it has been studied for several years. On the other hand, Ambient Intelligence (AmI) is an emerging field of research. AmI environments are claimed to be among other things sensitive, caring and adaptive to their inhabitants. In the context of education, AmI can adopt a student-centric approach and support the education activities that are taking place adapting to the individual learner’s needs. This paper proposes an approach for AmI educational environments to assist in identifying, monitoring, and providing adapted instruction to students with LDs.
Keywords
learning disabilities ambient intelligence smart classroomPreview
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References
- 1.Bloom, B., Cohen, R.A., Freeman, G.: Summary health statistics for US children: National Health Interview Survey, 2010. Vital and health statistics. Series 10, Data from the National Health Survey 250, 1 (2011)Google Scholar
- 2.Aud, S., Hussar, W., Kena, G., Bianco, K., Frohlich, L., Kemp, J., Tahan, K.: The Condition of Education 2011. NCES 2011-033. National Center for Education Statistics (2011)Google Scholar
- 3.Cortiella, C.: The state of learning disabilities. National Center for Learning Disabilities, New York (2009)Google Scholar
- 4.Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C.: Ambient intelligence: From vision to reality. IST Advisory Group Draft Rep., Eur. Comm. (2003)Google Scholar
- 5.Aarts, E., Wichert, R.: Ambient intelligence. Technology Guide, pp. 244–249 (2009)Google Scholar
- 6.Abrami, P.C., Bernard, R.M., Wade, C.A., Schmid, R.F., Borokhovski, E., Tamim, R., Surkes, M., Lowerison, G., Zhang, D., Nicolaidou, I., Newman, S., Wozney, L., P.: A review of e-learning in Canada: A rough sketch of the evidence, gaps and promising directions. Canadian Journal of Learning and Technology/La Revue Canadienne de L’apprentissage et de la Technologie 32(3) (2008)Google Scholar
- 7.Yau, S.S., Gupta, S.K.Z., Karim, F., Ahamed, S.I., Wang, Y., Wang, B.: Smart classroom: Enhancing collaborative learning using pervasive computing technology. II American Society of Engineering Education (ASEE) (2003)Google Scholar
- 8.Antona, M., Leonidis, A., Margetis, G., Korozi, M., Ntoa, S., Stephanidis, C.: A student-centric intelligent classroom. In: Keyson, D.V., Maher, M.L., Streitz, N., Cheok, A., Augusto, J.C., Wichert, R., Englebienne, G., Aghajan, H., Kröse, B.J.A. (eds.) AmI 2011. LNCS, vol. 7040, pp. 248–252. Springer, Heidelberg (2011)CrossRefGoogle Scholar
- 9.Kirk, S.A.: Educating exceptional children. Houghton Mifflin, Boston (1962)Google Scholar
- 10.Public Law No. 108-446, 118 Stat. 2647 “The Individuals with Disabilities Education Improvement Act of 2004”Google Scholar
- 11.Fletcher, J.M., Lyonm, G.R., Barnes, M., Stuebing, K.K., Francis, D.J., Olson, R.K., Shaywitz, S.E., Shaywitz, B.A.: Classification of learning disabilities: An evidence-based evaluation. Lawrence Erlbaum Associates Publishers (2002)Google Scholar
- 12.Stanovich, K.E.: The future of a mistake: Will discrepancy measurement continue to make the learning disabilities field a pseudoscience?” Learning Disability Quarterly, 103–106 (2005)Google Scholar
- 13.Kavale, K.A.: Discrepancy models in the identification of learning disability. Identification of Learning Disabilities: Research to Practice, 369–426 (2002)Google Scholar
- 14.Siegel, L.S.: An evaluation of the discrepancy definition of dyslexia. Journal of Learning Disabilities 25, 618–629 (1992)CrossRefGoogle Scholar
- 15.Fletcher, J.M., Denton, C., Francis, D.J.: Validity of Alternative Approaches for the Identification of Learning Disabilities Operationalizing Unexpected Underachievement. Journal of Learning Disabilities 38(6), 545–552 (2005)CrossRefGoogle Scholar
- 16.Vaughn, S., Fuchs, L.S.: Redefining learning disabilities as inadequate response to instruction: The promise and potential problems. Learning Disabilities Research & Practice 18(3), 137–146 (2003)CrossRefGoogle Scholar
- 17.Kavale, K.A.: Identifying Specific Learning Disability Is Responsiveness to Intervention the Answer? Journal of Learning Disabilities 38(6), 553–562 (2005)CrossRefGoogle Scholar
- 18.Fletcher, J.M., Lyon, G.R., Fuchs, L.S., Barnes, M.A.: Learning Disabilities: from identification to intervention. The Guilford Press, New York (2007)Google Scholar
- 19.Kavale, K.A., Forness, S.R.: What Definitions of Learning Disability Say and Don’t Say A Critical Analysis. Journal of Learning Disabilities 33(3), 239–256 (2000)CrossRefGoogle Scholar
- 20.Flanagan, D.P., Ortiz, S.O., Alfonso, V.C., Dynda, A.M.: Integration of response to intervention and norm‐referenced tests in learning disability identification: Learning from the Tower of Babel. Psychology in the Schools 43(7), 807–825 (2006)CrossRefGoogle Scholar
- 21.Margetis, M., Ntelidakis, A., Zabulis, X., Ntoa, S., Koutlemanis, P., Stephanidis, C.: Augmenting physical books towards education enhancement. In: The Proceedings of the 1st IEEE Workshop on User-Centred Computer Vision (UCCV 2013), Tampa, FL, USA, January 16-18 (2013)Google Scholar
- 22.Korozi, M., Leonidis, A., Margetis, G., Koutlemanis, G., Zabulis, X., Antona, M., Stephanidis, C.: Ambient educational mini-games. In: Proceedings of the International Working Conference on Advanced Visual Interfaces, pp. 802–803. ACM (2012)Google Scholar
- 23.Margetis, G., Zabulis, X., Koutlemanis, P., Antona, M., Stephanidis, C.: Augmented interaction with physical books in an Ambient Intelligence learning environment. Multimedia Tools and Applications, 1–23 (2012)Google Scholar
- 24.Georgalis, Y., Grammenos, D., Stephanidis, C.: Middleware for ambient intelligence environments: Reviewing requirements and communication technologies. Universal Access in Human-Computer Interaction. Intelligent and Ubiquitous Interaction Environments, 168–177 (2009)Google Scholar