Machine Learning Approach of Predicting Learning Outcomes of MOOCs to Increase Its Performance-Reference-Cited by-同舟云学术

Machine Learning Approach of Predicting Learning Outcomes of MOOCs to Increase Its Performance

Published:2019 Issue: Volume: Page:107-115
ISSN:2190-3018
Container-title:Smart Education and e-Learning 2019
language:
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Author:

Lisitsyna Lubov S.,Oreshin Svyatoslav A.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-8260-4_10

Reference11 articles.

1. Lisitsyna, L.S., Efimchik, E.A.: Designing and application of MOOC “Methods and algorithms of graph theory” on national platform of open education of Russian Federation. In: Smart Education and e-Learning vol. 59, pp. 145–154 (2016)

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3. Fawcett, T.: An introduction to ROC analysis. Pattern Recognit. Lett. 27, 861–874 (2006)

4. van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579–2605 (2008)

5. van der Maaten, L.: Accelerating t-SNE using tree-based algorithms. J. Mach. Learn. Res. 15, 3221–3245 (2014)

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