Study on the influencing factors of online learning effect based on decision tree and recursive feature elimination-Reference-Cited by-同舟云学术

Study on the influencing factors of online learning effect based on decision tree and recursive feature elimination

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning - IC4E '19
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Author:

Chai Yanmei¹,Lei Chenfang¹,Yin Chuantao²

Affiliation:

1. Central University of Finance and Economics, Beijing, P.R.China

2. Beihang University, Beijing, P.R.China

Publisher

ACM Press

Reference13 articles.

1. S Nesterko, D Seaton, J Reich, I Chuang. Evaluating Geographic Data in MOOCs, Neural information processing systems workship on data driven education, 2014.

2. F Han, UO Reilly. Analyzing Millions of Submissions to Help MOOC Instructors Understand Problem Solving, Neural Information Processing Systems Workshop on Data Driven Education, 2014.

3. Wang Ping. Learning analysis of learners based on edX open data[J]. Modern Educational Technology, 2015, 25(4):86--93.

4. Ding N, Bosker R J, Harskamp E G. Exploring gender and gender pairing in the knowledge elaboration processes of students using computer-supported collaborative learning[J]. Computers & Education, 2011, 56(2):325--336.

5. Vaessen B E, Prins F J, Jeuring J. University students' achievement goals and help-seeking strategies in an intelligent tutoring system[J]. Computers & Education, 2014, 72(C):196--208.

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