Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)

The Application of Undergraduates' Deep Learning Strategy on Network

Authors
Fei Xie, Chao Qin, Zongjie Xiao
Corresponding Author
Fei Xie
Available Online September 2016.
DOI
10.2991/meici-16.2016.109How to use a DOI?
Keywords
Undergraduate; Deep learning; Network-based learning; Learning strategy
Abstract

Network-based learning is an important learning style for undergraduates. Previous studies have carried out many questionnaire surveys and comparative studies on undergraduates' network-based learning strategy. By interviewing undergraduates with different professional backgrounds, this study will conduct deep observation from the perspective of the individual, to understand how undergraduates invoke learning strategies during network learning. The research results have showed that learners can basically complete shallow level in multiple dimensions and expand some deep level learning, but the degree of deep learning needs to be improved.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
September 2016
ISBN
10.2991/meici-16.2016.109
ISSN
1951-6851
DOI
10.2991/meici-16.2016.109How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fei Xie
AU  - Chao Qin
AU  - Zongjie Xiao
PY  - 2016/09
DA  - 2016/09
TI  - The Application of Undergraduates' Deep Learning Strategy on Network
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 522
EP  - 526
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.109
DO  - 10.2991/meici-16.2016.109
ID  - Xie2016/09
ER  -