Autors: Ivanova, M. S., Petkova, P. T., Petrova, T. S.
Title: Educators’ Support through Predictive Analytics in an Assessment Process
Keywords: machine learning, artificial neural networks

Abstract: Utilization of machine learning (ML) algorithms in the area of learning ana-lytics is a contemporary approach for conducting classifications and predic-tions based on data collected in an educational process. In an assessment procedure also some prognoses could be done benefiting from ML. The aim of the paper is to present a ML-based methodology in support of educators when assessment of digital objects has to be done. It is used for the students’ classification and prediction of their digital-models driven learning progress and learning performance. The accuracy of the classifier (Artificial Neural Network) in different use cases is evaluated and is proved its high value.

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. 151 - 162, 2023, Portugal, Springer Science and Business Media Deutschland GmbH, ISBN: 978-303142133-4/DOI: 10.1007/978-3-031-42134-1_15

    Copyright Springer Nature

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