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An Overview on the Use of Artificial Intelligence in Adaptive Learning: Comparative Study

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Abstract

Education system nowadays is facing major difficulties. Pedagogue researchers criticize how learning system does not adapt to technological and industrial changes, also why it doesn’t prioritize important factors like creativity, passion, and difference. Some researchers present adaptive learning as a solution for such problematics. This paper aims to give an overview of the use of artificial intelligence technics in adaptive learning, giving a comparative analysis of multiple studies.

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References

  1. Harkema, S.S.J.M., Schout, H.: Incorporating student centred learning in innovation and entrepreneurship education (2008)

    Google Scholar 

  2. Nojabaee, S.S., Osboei, F.K.: Investigation of relationship between organizational learning and employees. Empowerment in Melli Bank Branches in Western Mazandaran Province (2014)

    Google Scholar 

  3. Knowles, M.S., Holton, E.F.: Exploring the World of Learning Theory (2014)

    Google Scholar 

  4. Wach-Kkolewicz, A.: Constructivist Approach in Teaching in Higher Education (2016)

    Google Scholar 

  5. Coulter, M.A.: A review of two theories of learning and their application in the practice of nurse education (1990)

    Google Scholar 

  6. Pritchard, A.: Ways of Learning (2008)

    Google Scholar 

  7. Brown, P.C., Roediger, H.L., McDaniel, M.A.: Make It Stick (2014)

    Google Scholar 

  8. Solis, J.D.: The relationship between preservice teachers’ social learning style preferences and learning activity role choices (2006)

    Google Scholar 

  9. Wray, D., Lewis, M.: From Learning to Teaching: Towards a Model of Teaching Literacy (1999)

    Google Scholar 

  10. Kozminsky, E., Weizman, E., Horowitz, H.: Teaching Translation in Israel High Schools (1998)

    Google Scholar 

  11. Hong, C.M., Chen, C.M., Chang, M.H.: Personalized learning path generation approach for web-based learning (2005)

    Google Scholar 

  12. Bhaskar, M., Das, M.M., Chithralekha, T.: Genetic algorithm based adaptive learning scheme generation for context aware e-learning (2010)

    Google Scholar 

  13. Madani, Y., Bengourram, J., Erritali, M.: Adaptive e-learning using genetic algorithm and sentiments analysis in a big data system (2017)

    Google Scholar 

  14. Marquez, J.M.: Creating adaptive learning paths using ant colony optimization and Bayesian networks (2008)

    Google Scholar 

  15. Idris, N., Yusof, N., Saad, P.: Adaptive course sequencing for personalization of learning path using neural network (2009)

    Google Scholar 

  16. Brusilovsky, P., Milln, E: User models for adaptive hypermedia and adaptive educational systems (2007)

    Google Scholar 

  17. Lo, J.J., Shu, P.C.: Identification of learning styles online by observing learners’ browsing behaviour through a neural network (2005)

    Google Scholar 

  18. Lin, C.F., Yeh, Y., Hung, Y.H., Chang, R.I.: Data mining for providing a personalized learning path in creativity: An application of decision trees (2013)

    Google Scholar 

  19. Villaverde, J.E., Godoy, D.: Learning styles’ recognition in e-learning environments with feedforward neural networks (2006)

    Google Scholar 

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Correspondence to Ayoub Arroub .

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Arroub, A., Hssina, B., Douzi, K. (2020). An Overview on the Use of Artificial Intelligence in Adaptive Learning: Comparative Study. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1102. Springer, Cham. https://doi.org/10.1007/978-3-030-36653-7_10

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