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Application of Artificial Neural Networks in Intelligent Tutoring: A Contemporary Glance

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Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference (MIS4TEL 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 769))

Abstract

Contemporary intelligent educational systems (IESs) and intelligent tutoring systems (ITSs) collect and process a large amount of data to deliver real-time learning, personalized according to the student’s needs. Such an approach includes a wide variety of machine learning algorithms, including artificial neural networks (ANNs), to model, analyze, and predict different issues in teaching and learning. This paper aims to summarize and discuss the current state regarding the utilization of ANNs in ITSs, comprising bibliometric analysis and a detailed review of scientific publications. A framework generalizing the main findings is created. Also, a classification model through a deep learning algorithm for predicting the personalized learning path is shown, which is characterized by high accuracy after the evaluation.

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Acknowledgments

This research is supported by the Bulgarian FNI fund through the project “Modeling and Research of Intelligent Educational Systems and Sensor Networks (ISOSeM)”, contract КП-06-H47/4 from 26.11.2020.

Author information

Authors and Affiliations

  1. Technical University of Sofia, blvd. Kl. Ohridski 8, Sofia, Bulgaria

    Tatyana Ivanova & Malinka Ivanova

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bl. 2, Acad. G. Bonchev Street, 1113, Sofia, Bulgaria

    Valentina Terzieva

Authors
  1. Tatyana Ivanova
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  2. Valentina Terzieva
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  3. Malinka Ivanova
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Corresponding author

Correspondence to Malinka Ivanova .

Editor information

Editors and Affiliations

  1. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia

    Zuzana Kubincová

  2. University of L'Aquila, L'Aquila, Italy

    Federica Caruso

  3. Universitetet i Tromsø (UiT) – Norges arktiske universitet, Tromsø, Norway

    Tae-eun Kim

  4. Technical University of Sofia , Sofia, Bulgaria

    Malinka Ivanova

  5. Department of Life, Health and Environmental Sciences, University of L'Aquila, Coppito, Italy

    Loreto Lancia

  6. Department of Computer Science, University of Salerno, FISCIANO, Salerno, Italy

    Maria Angela Pellegrino

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Ivanova, T., Terzieva, V., Ivanova, M. (2023). Application of Artificial Neural Networks in Intelligent Tutoring: A Contemporary Glance. In: Kubincová, Z., Caruso, F., Kim, Te., Ivanova, M., Lancia, L., Pellegrino, M.A. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference. MIS4TEL 2023. Lecture Notes in Networks and Systems, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-031-42134-1_14

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