Autors: Ivanova, T. I., Terzieva V., Ivanova, M. S.
Title: Application of Artificial Neural Networks in Intelligent Tutoring: A Contemporary Glance
Keywords: Artificial Neural Networks, Intelligent Education Systems

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 gener-alizing 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.

References

    Issue

    13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning, mis4TEL 2023/Lecture Notes in Networks and Systems, vol. 769, pp. 139 - 150, 2023, Portugal, Springer Science and Business Media Deutschland GmbH, ISBN: 978-303142133-4/DOI: 10.1007/978-3-031-42134-1_14

    Copyright Springer Nature

    Цитирания (Citation/s):
    1. Токтарова, В. И., & Ребко, О. В. (2024). Интеграция искусственного интеллекта в работу педагога: инструменты для педагогического дизайна и разработки образовательных продуктов. Информатика и образование, 39(1), 9-21. - 2024 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: книга/глава(и) от книга, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus