Expression recognition based constructing strategy for virtual learning community

Huifang Li; Wei Dong; Qingsong Han; Yafei Luo; Hong Huang

doi:10.23919/ChiCC.2017.8029136

Expression recognition based constructing strategy for virtual learning community

Huifang Li, Wei Dong, Qingsong Han, Yafei Luo, Hong Huang

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Virtual learning community is an important organizational form for collaborative learning. And the learning emotion, interaction degree, knowledge test are important characteristics of learning. However, the existing constructing strategy is unable to accurately determine the matching degree between the learner and the community. The lower matching degree will weaken the learning performance of learners. This paper comprehensively considers and uses the learning characteristics to evaluate the matching degree between learners and commmunities, and presents a new dynamic constructing strategy, then give its corresponding adjusting algorithm for virtual learning community. It is easy and more accurate to identify whether a certain community suits the learner, and it can help a learner to find a suitable community to further improve his learning performance and experience. Case study and analysis shows the feasibility and practicability of our proposed constructing strategy.

Original language	English
Title of host publication	Proceedings of the 36th Chinese Control Conference, CCC 2017
Editors	Tao Liu, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	11150-11155
Number of pages	6
ISBN (Electronic)	9789881563934
DOIs	https://doi.org/10.23919/ChiCC.2017.8029136
Publication status	Published - 7 Sept 2017
Event	36th Chinese Control Conference, CCC 2017 - Dalian, China Duration: 26 Jul 2017 → 28 Jul 2017

Publication series

Name	Chinese Control Conference, CCC
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	36th Chinese Control Conference, CCC 2017
Country/Territory	China
City	Dalian
Period	26/07/17 → 28/07/17

Keywords

Virtual learning community
constructing strategy
convolutional neural network
expression recognition

Access to Document

10.23919/ChiCC.2017.8029136

Cite this

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title = "Expression recognition based constructing strategy for virtual learning community",

abstract = "Virtual learning community is an important organizational form for collaborative learning. And the learning emotion, interaction degree, knowledge test are important characteristics of learning. However, the existing constructing strategy is unable to accurately determine the matching degree between the learner and the community. The lower matching degree will weaken the learning performance of learners. This paper comprehensively considers and uses the learning characteristics to evaluate the matching degree between learners and commmunities, and presents a new dynamic constructing strategy, then give its corresponding adjusting algorithm for virtual learning community. It is easy and more accurate to identify whether a certain community suits the learner, and it can help a learner to find a suitable community to further improve his learning performance and experience. Case study and analysis shows the feasibility and practicability of our proposed constructing strategy.",

keywords = "Virtual learning community, constructing strategy, convolutional neural network, expression recognition",

author = "Huifang Li and Wei Dong and Qingsong Han and Yafei Luo and Hong Huang",

note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",

year = "2017",

month = sep,

day = "7",

doi = "10.23919/ChiCC.2017.8029136",

language = "English",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "11150--11155",

editor = "Tao Liu and Qianchuan Zhao",

booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",

address = "United States",

}

Li, H, Dong, W, Han, Q, Luo, Y & Huang, H 2017, Expression recognition based constructing strategy for virtual learning community. in T Liu & Q Zhao (eds), Proceedings of the 36th Chinese Control Conference, CCC 2017., 8029136, Chinese Control Conference, CCC, IEEE Computer Society, pp. 11150-11155, 36th Chinese Control Conference, CCC 2017, Dalian, China, 26/07/17. https://doi.org/10.23919/ChiCC.2017.8029136

Expression recognition based constructing strategy for virtual learning community. / Li, Huifang; Dong, Wei; Han, Qingsong et al.
Proceedings of the 36th Chinese Control Conference, CCC 2017. ed. / Tao Liu; Qianchuan Zhao. IEEE Computer Society, 2017. p. 11150-11155 8029136 (Chinese Control Conference, CCC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Expression recognition based constructing strategy for virtual learning community

AU - Li, Huifang

AU - Dong, Wei

AU - Han, Qingsong

AU - Luo, Yafei

AU - Huang, Hong

PY - 2017/9/7

Y1 - 2017/9/7

N2 - Virtual learning community is an important organizational form for collaborative learning. And the learning emotion, interaction degree, knowledge test are important characteristics of learning. However, the existing constructing strategy is unable to accurately determine the matching degree between the learner and the community. The lower matching degree will weaken the learning performance of learners. This paper comprehensively considers and uses the learning characteristics to evaluate the matching degree between learners and commmunities, and presents a new dynamic constructing strategy, then give its corresponding adjusting algorithm for virtual learning community. It is easy and more accurate to identify whether a certain community suits the learner, and it can help a learner to find a suitable community to further improve his learning performance and experience. Case study and analysis shows the feasibility and practicability of our proposed constructing strategy.

AB - Virtual learning community is an important organizational form for collaborative learning. And the learning emotion, interaction degree, knowledge test are important characteristics of learning. However, the existing constructing strategy is unable to accurately determine the matching degree between the learner and the community. The lower matching degree will weaken the learning performance of learners. This paper comprehensively considers and uses the learning characteristics to evaluate the matching degree between learners and commmunities, and presents a new dynamic constructing strategy, then give its corresponding adjusting algorithm for virtual learning community. It is easy and more accurate to identify whether a certain community suits the learner, and it can help a learner to find a suitable community to further improve his learning performance and experience. Case study and analysis shows the feasibility and practicability of our proposed constructing strategy.

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KW - constructing strategy

KW - convolutional neural network

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Expression recognition based constructing strategy for virtual learning community

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