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The Autonomous Platform Using the Markov Chain

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14060))

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Abstract

This work focuses on the use of the Markov chain to optimize the learning path for learner. We observe that most of them during their online courses can be are victims of boredom which pushes them to give up their courses and consequently do not obtain the certificate, of which they had the ambition to obtain the formation and the diploma. We based our works on Q-Learning methods that seem to meet our need to satisfy students’ demand for titles and certificates without getting bored.

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Author information

Authors and Affiliations

  1. Université Paris Est Marne-La-Vallée, Equipe Dispositifs d’Information et de Communication à l’Ere Numérique (DICEN IDF), Conservatoire national des arts et metiers, Paris-Est Paris-Ouest, EA 7339, Serris, France

    Karim Elia Fraoua

  2. Université Lorraine, Equipe Dispositifs d’Information et de Communication à l’Ere Numérique (DICEN IDF), Conservatoire national des arts et metiers, Paris-Est Paris-Ouest, EA 7339, Serris, France

    Amos David

Authors
  1. Karim Elia Fraoua
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  2. Amos David
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Corresponding author

Correspondence to Karim Elia Fraoua .

Editor information

Editors and Affiliations

  1. Cyprus University of Technology, Limassol, Cyprus

    Panayiotis Zaphiris

  2. Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

  3. Soar Technology, Inc., Orlando, FL, USA

    Robert A. Sottilare

  4. Fraunhofer FKIE, Wachtberg, Germany

    Jessica Schwarz

  5. City University of Hong Kong, Hong Kong, Hong Kong

    Fiona Fui-Hoon Nah

  6. City University of Hong Kong, Hong Kong, Hong Kong

    Keng Siau

  7. University of West Florida, Pensacola, FL, USA

    June Wei

  8. University of Central Florida, Orlando, FL, USA

    Gavriel Salvendy

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Fraoua, K.E., David, A. (2023). The Autonomous Platform Using the Markov Chain. In: Zaphiris, P., et al. HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14060. Springer, Cham. https://doi.org/10.1007/978-3-031-48060-7_4

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  • DOI: https://doi.org/10.1007/978-3-031-48060-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48059-1

  • Online ISBN: 978-3-031-48060-7

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