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Teaching-Learning Environment Tool to Promote Individualized Student Assistance

  • Rafael Santos
  • Bruno Nogueira Luz
  • Valéria Farinazzo Martins
  • Diego Colombo Dias
  • Marcelo de Paiva GuimarãesEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9155)

Abstract

To develop an effective teaching-learning process for a group of students respecting their individual learning pace is a challenging task for teachers. To assist students individually, it is necessary to identify each student’s difficulty and take appropriate teaching action. This paper presents an assisted learning tool based on the web that monitors and reports the student’s learning behavior for the teacher. This tool, called eTutor, also performs preconfigured actions (i.e., displays a video or text) according to the current state of student learning. We tested this tool in two different topics for two groups of students. The evaluation showed that this tool promotes student assistance, helping the teachers to be closer to their students.

Keywords

Fuzzy Logic Learn Object Learning Behavior Intelligent Tutoring System Virtual Learning Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Svinicki, M., McKeachie, W.J.: McKeachie’s Teaching Tips: Strategies, Research, and Theory for College and University Teachers. Cengage Learning; 13 edn, 416 pages (2010)Google Scholar
  2. 2.
    Freire, P.: Pedagogia Da Autonomia: Saberes Necessários à Prática Educativa. Paz e Terra, São Paulo (1996)Google Scholar
  3. 3.
    Zabala, A.: A Prática Educativa: Como Ensinar. Artmed, Porto Alegre (1998)Google Scholar
  4. 4.
    Wells, G.: Dialogic Inquiry: Towards a Sociocultural Practice and Theory of Education. Cambridge University Press, Cambridge (1999)CrossRefGoogle Scholar
  5. 5.
    Vygotsky, L.S.:. Thinking and speech (n. Minick, Trans.), In: Rieber, R.W., Carton, A.S. (eds.) The collected works of L. S. Vygostky: vol. 1. Problems of general psycology, pp. 239–285. Plenum Press, New York (1987)Google Scholar
  6. 6.
    Vygotsky, L.S.: The problem of age (M. Hall, Trans.). In: Rieber, R.W. (ed.) The collected works of L.S. Vygotsky: (Vol. 5 Child psycology), pp. 187–205. Plenum Press, New York (1998)Google Scholar
  7. 7.
    Guimarães, M.P., Martins, V.F., Dias, D. C.: Uso de Lógica Fuzzy no Auxílio ao Acompanhamento Automático de Alunos utilizando um Ambiente de Aprendizagem. XXIV Simpósio Brasileiro de Informática na Educação (SBIE), doi: 10.5753/CBIE.SBIE.2013.707, (2013)
  8. 8.
    Reiser, B.J., Anderson, J.R., Farrel, R.G.: Dynamic student modeling in an intelligent tutoring for lisp programming. In: Proceedings of Ninth International Joint Conference on Artificial Intelligence, pp. 8–14. Morgan Kaufman, Los Altos, CA (1985)Google Scholar
  9. 9.
    VanLehn’s, K.: The Behavior of. Tutoring Systems. International Journal of Artificial Intelligence in Education 16(3), 267–270 (2006)Google Scholar
  10. 10.
    Yang, F.: The ideology of intelligent tutoring systems. ACM Inroads. 1(4), 63–65 (2010)CrossRefGoogle Scholar
  11. 11.
    Chakraborty, S., Roy, D., Basu, A.: Development of Knowledge Based Intelligent Tutoring System, Chapter 5. TMRF e-Book Advanced Knowledge Based Systems: Model, Applications & Research(Eds. Sajja & Akerkar) 1, 74–100 (2010)Google Scholar
  12. 12.
    Chen, H., Yu, C., Chang, C.: E-Homebook System: A web-based interactive education interface. Computers & Education. 49(2), 160–175 (2007)CrossRefGoogle Scholar
  13. 13.
    Huanga, Y., Lina, Y., Chengb, S.: An adaptive testing system for supporting versatile educational assessment. Computers & Education 52(1), 53–67 (2009)CrossRefGoogle Scholar
  14. 14.
    Chen, C., Chen, M.: Mobile formative assessment tool based on data mining techniques for supporting web-based learning. Computers & Education 52(1), 256–273 (2009)CrossRefGoogle Scholar
  15. 15.
    Yang, Z., Liu, W.: Research and development of web-based virtual online classroom. Computers & Education 48(2), 171–184 (2007)CrossRefGoogle Scholar
  16. 16.
    Chen, C.: Intelligent web-based learning system with personalized learning path guidance. Computers & Education 51(2), 787–814 (2008)CrossRefGoogle Scholar
  17. 17.
    Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338–353 (1965). doi: 10.1016/s0019-9958(65)90241-x zbMATHMathSciNetCrossRefGoogle Scholar
  18. 18.
    Bellman, R.E., Zadeh, L.A.: Decision-making in a fuzzy environment. Management science 17(4), B-141 (1970)MathSciNetCrossRefGoogle Scholar
  19. 19.
    Ross, T.J.: Fuzzy Logic with Engineering Applications, 3rd edn. Wiley; 3 edition (March 1, 2010). 606 pages (2010)Google Scholar
  20. 20.
    SCORM. Content Aggregation Model – CAM. 4th Edition SCORM 200 (2009)Google Scholar
  21. 21.
    Sarris, S.: HTML5 Unleashed. Sams Publishing, 1st edn (July 26, 2013).432 pages (2013)Google Scholar
  22. 22.
    Downes, S.: Learning Objects: Resources for Distance Education Worldwide. International Review of Research in Open and Distance Learning 2(1) (2001)Google Scholar
  23. 23.
    L’Allier, J.J.: A Frame of Reference: NETg’s Map to Its Products. Their Structures and Core Beliefs (1997)Google Scholar
  24. 24.
    Kemezinski, A, Costa, I.A., Wehrmeister, M.A., Hounsell, M.S., Vahldck, A.: Metodologia para Construção de Objetos de Aprendizagem Interativos”, Anais do 23º Simpósio Brasileiro de Informática na Educação (SBIE) (2012). ISSN 2316-6533Google Scholar
  25. 25.
    Seters, J.R.V., Ossevoort, M.A., Tramper, J., Goedhart, M.J.: The influence of student characteristics on the use of adaptive e-learning material. Computers & Education. 58, 942–952 (2012)CrossRefGoogle Scholar
  26. 26.
    Moodle (2015). https://moodle.org/. Accessed on 20 February 2015

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Rafael Santos
    • 1
  • Bruno Nogueira Luz
    • 1
    • 2
  • Valéria Farinazzo Martins
    • 3
  • Diego Colombo Dias
    • 1
  • Marcelo de Paiva Guimarães
    • 1
    • 4
    Email author
  1. 1.Programa de Mestrado em Ciência da ComputaçãoFACCAMPCampo Limpo PaulistaBrasil
  2. 2.Instituto Federal de São PauloSão PauloBrasil
  3. 3.Faculdade de Computação e InformáticaUniversidade Presbiteriana MackenzieSão PauloBrasil
  4. 4.Universidade Aberta do Brasil, UNIFESPSão PauloBrasil

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