Educational Data Mining & Learning Analytics-Reference-Cited by-同舟云学术

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Educational Data Mining & Learning Analytics

Published:2021 Issue: Volume: Page:29-60
ISSN:2662-2122
Container-title:Advances in Analytics for Learning and Teaching
language:
Short-container-title:

Author:

K G Srinivasa,Kurni Muralidhar

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-70258-8_2

Reference51 articles.

1. Alani, M. M., Tawfik, H., Saeed, M., & Anya, O. (2018). Applications of big data analytics: Trends, issues, and challenges (pp. 1–214). https://doi.org/10.1007/978-3-319-76472-6.

2. Alves dos Santos, J. C., & Favero, E. L. (2015). Practical use of a latent semantic analysis (LSA) model for automatic evaluation of written answers. Journal of the Brazilian Computer Society, 21(1), 1–8. https://doi.org/10.1186/s13173-015-0039-7

3. Baker, R., & Siemens, G. (2014). Educational data mining and learning analytics. Learning Analytics: From Research to Practice, 61–75. https://doi.org/10.1007/978-1-4614-3305-7_4.

4. Baker, R. S. (2015). Big data and education (2nd ed.). New York: Teachers College, Columbia University.

5. Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In Learning analytics: From research to practice. https://doi.org/10.1007/978-1-4614-3305-7_4.

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