Machine learning for the educational sciences-Reference-Cited by-同舟云学术

Machine learning for the educational sciences

Published:2021-10 Issue:3 Volume:9 Page:
ISSN:2049-6613
Container-title:Review of Education
language:en
Short-container-title:Review of Education

Author:

Hilbert Sven¹^ORCID,Coors Stefan²,Kraus Elisabeth¹,Bischl Bernd²,Lindl Alfred¹,Frei Mario¹,Wild Johannes³,Krauss Stefan⁴,Goretzko David⁵,Stachl Clemens⁶

Affiliation:

1. Department of Human Sciences University of Regensburg Regensburg Germany

2. Department of Statistics Ludwig‐Maximilians‐University München Germany

3. Department of Teaching and Learning German Language and Literature Regensburg Germany

4. Department of Mathematics University of Regensburg Regensburg Germany

5. Department of Psychology, Psychological Methods and Assessment Ludwig‐Maximilians‐University München Germany

6. Institute of Behavioral Science and Technology University of St Gallen St Gallen Switzerland

Funder

National Science Foundation

Publisher

Wiley

Subject

Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rev3.3310

Reference193 articles.

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4. Predicting student dropout in higher education;Aulck L.;arXiv,2016

5. The state of educational data mining in 2009: A review and future visions;Baker R. S.;Journal of Educational Data Mining,2009

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