Approach for Personalizing the Education Content Based on Data Mining for a Cloud Platform-Reference-Cited by-同舟云学术

Approach for Personalizing the Education Content Based on Data Mining for a Cloud Platform

Published:2020 Issue: Volume: Page:134-145
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Zaporozhko Veronika^ORCID,Parfenov Denis^ORCID,Shardakov Vladimir^ORCID,Parfenov Igor^ORCID,Anciferova Larisa^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-46895-8_11

Reference19 articles.

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2. Baker, R.S.: Educational data mining: an advance for intelligent systems in education. IEEE Intell. Syst. 29(3), 78–82 (2014). https://doi.org/10.1109/MIS.2014.42

3. Romer, C., Ventura, S.: Educational data science in massive open online courses. WIREs Data Min. Knowl. Discov. 7(1), e1187 (2017). https://doi.org/10.1002/widm.1187

4. Calvet, L., Perez, J.: Educational data mining and learning analytics: differences, similarities, and time evolution. Int. J. Educ. Technol. High. Educ. 12(3), 98–112 (2015). https://doi.org/10.7238/rusc.v12i3.2515

5. Merceron, A.: Educational data mining learning analytics: methods, tasks and current trends. In: Proceedings of DeLFI Workshops 2015 Co-located with 13th e-Learning Conference of the German Computer Society (DeLFI 2015), pp. 101–109, München, Germany (2015). http://ceur-ws.org/Vol-1443/paper22.pdf

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