| Issue |
MATEC Web Conf.
Volume 246, 2018
2018 International Symposium on Water System Operations (ISWSO 2018)
|
|
|---|---|---|
| Article Number | 03025 | |
| Number of page(s) | 5 | |
| Section | Parallel Session II: Water System Technology | |
| DOI | https://doi.org/10.1051/matecconf/201824603025 | |
| Published online | 07 December 2018 | |
Research on Data Mining of Learning Behaviours of College Students on MOOC Platform
1 Vocational Education Centre, Naval University of Engineering, PLA, Wuhan, 430033, China
2 Vocational Education Centre, Naval Medical University, PLA, Shanghai, 200433, China
With the continuous development of computer network and the popularity of internet applications, technology is constantly changing the traditional education model. The rise of the MOOC has set off a worldwide revolution in educational technology, which has been widely welcomed by university teachers and students. On the platforms of MOOC, the learning behaviours of college students have generated massive amounts of relevant data. Teachers can tap learning behaviours, master different types of learning styles to better control the learning steps and urge college students to better participate in all aspects of learning. Based on the MOOC platform, this paper classifies the students into excellent learners, middle learners, poor learners and non-learners by cluster analysis to teach students of different levels in different ways to optimize the MOOC teaching effect.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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