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Comparative Study and Analysis of Existing Intelligent Tutoring Systems

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Artificial Intelligence, Data Science and Applications (ICAISE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 838))

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Abstract

This article first sets out to establish a clear definition of intelligent tutoring systems (ITS). It then outlines the main components of these systems. It then turns to an analysis of the various ITSs from various sources of information and knowledge from several sectors. The selection being based on the most widely recognized and commonly used ITS in different fields. Finally, the article concludes with a comparison between these ITSs to determine their similarities and differences, ending with a conclusion of this article’s point of interest.

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Author information

Authors and Affiliations

  1. LabSIV, Department of Computer Science, Faculty of Science, Ibnou Zohr University, BP 8106, Agadir, 80000, Morocco

    Zakaria Rida, Mourad Ennaji & Mustapha Machkour

  2. LITIS, Laboratoire d’Informatique, de Traitement de l’Information et des Systèmes, University of Le Havre, Le Havre, France

    Hadhoum Boukachour

Authors
  1. Zakaria Rida
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  2. Hadhoum Boukachour
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  3. Mourad Ennaji
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  4. Mustapha Machkour
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Corresponding author

Correspondence to Zakaria Rida .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Moulay Ismail University, Errachidia, Morocco

    Yousef Farhaoui

  2. Centre of AI and Robotics, Napier University, Edinburgh, UK

    Amir Hussain

  3. Prince Sultan University, Riyadh, Saudi Arabia

    Tanzila Saba

  4. University Canada West, Vancouver, BC, Canada

    Hamed Taherdoost

  5. Institute of Science, Banaras Hindu University, Varanasi, India

    Anshul Verma

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Rida, Z., Boukachour, H., Ennaji, M., Machkour, M. (2024). Comparative Study and Analysis of Existing Intelligent Tutoring Systems. In: Farhaoui, Y., Hussain, A., Saba, T., Taherdoost, H., Verma, A. (eds) Artificial Intelligence, Data Science and Applications. ICAISE 2023. Lecture Notes in Networks and Systems, vol 838. Springer, Cham. https://doi.org/10.1007/978-3-031-48573-2_34

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