Autors: Ivanova, M. S.
Title: Predictive Modeling Concerning Mobile Learning Advance
Keywords: Mobile learning eLearning informatics, Machine learning, Linear regression, Fuzzy logic

Abstract: The paper treats an application of predictive modeling in the field of mobile learning. A methodology to facilitate the realization of a model predicting the most utilized research topics that are close to the term mobile learning is developed. The constructed model is based on machine learning technique and fuzzy logic method and it predicts the implementation of mobile learning in different educational context. The results point out the found dependency and tendency for future advance of mobile learning.

References

    Issue

    13th International Conference on Interactive Mobile Communication, Technologies and Learning/Internet of Things, Infrastructures and Mobile Applications/Advances in Intelligent Systems and Computing book series, vol. 1192, pp. 127-135, 2019, Greece, Springer, Cham, ISSN 2194-5357/ISSN 2194-5365 (electronic)/ISBN 978-3-030-49931-0/ISBN 978-3-030-49932-7 (eBook)/https://doi.org/10.1007/978-3-030-49932-7_13

    Copyright Springer Nature Switzerland AG 2021

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    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus