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Predictive Modeling Concerning Mobile Learning Advance

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Internet of Things, Infrastructures and Mobile Applications (IMCL 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1192))

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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.

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References

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Acknowledgements

The author would like to thank the Research and Development Sector at the Technical University of Sofia for the financial support.

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Correspondence to Malinka Ivanova .

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Ivanova, M. (2021). Predictive Modeling Concerning Mobile Learning Advance. In: Auer, M.E., Tsiatsos, T. (eds) Internet of Things, Infrastructures and Mobile Applications. IMCL 2019. Advances in Intelligent Systems and Computing, vol 1192. Springer, Cham. https://doi.org/10.1007/978-3-030-49932-7_13

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  • DOI: https://doi.org/10.1007/978-3-030-49932-7_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49931-0

  • Online ISBN: 978-3-030-49932-7

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