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
N1 - Publisher Copyright:
© 2017 Technical Committee on Control Theory, CAA.
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.
KW - Virtual learning community
KW - constructing strategy
KW - convolutional neural network
KW - expression recognition
UR - http://www.scopus.com/inward/record.url?scp=85032183670&partnerID=8YFLogxK
U2 - 10.23919/ChiCC.2017.8029136
DO - 10.23919/ChiCC.2017.8029136
M3 - Conference contribution
AN - SCOPUS:85032183670
T3 - Chinese Control Conference, CCC
SP - 11150
EP - 11155
BT - Proceedings of the 36th Chinese Control Conference, CCC 2017
A2 - Liu, Tao
A2 - Zhao, Qianchuan
PB - IEEE Computer Society
T2 - 36th Chinese Control Conference, CCC 2017
Y2 - 26 July 2017 through 28 July 2017
ER -