Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS-Reference-Cited by-同舟云学术

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Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS

Published:2017-01-01 Issue:1 Volume:10 Page:17-29
ISSN:1939-1382
Container-title:IEEE Transactions on Learning Technologies
language:
Short-container-title:IEEE Trans. Learning Technol.

Author:

Conijn Rianne,Snijders Chris,Kleingeld Ad,Matzat Uwe

Funder

Centre for Engineering Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,General Engineering,Education

Link

http://xplorestaging.ieee.org/ielx7/4620076/7880723/07589022.pdf?arnumber=7589022

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