标题:CIES: Cloud-based Intelligent Evaluation Service for video homework using CNN-LSTM network
作者:Song, Rui; Xiao, Zhiyi; Lin, Jinjiao; Liu, Ming
作者机构:[Song, Rui; Lin, Jinjiao; Liu, Ming] Shandong Univ, Sch Control Sci & Engn, Jinan 250002, Peoples R China.; [Xiao, Zhiyi] Qingdao Univ Sci & Technol 更多
通讯作者:Liu, M;Liu, M
通讯作者地址:[Liu, M]Shandong Univ, Sch Control Sci & Engn, Jinan 250002, Peoples R China;[Liu, M]Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Jinan 250 更多
来源:JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS
出版年:2020
卷:9
期:1
DOI:10.1186/s13677-020-0156-5
关键词:Video assignments; cloud computing; convolution neural networks; long; short-term memory; intelligent evaluation
摘要:Video (used as a form of examination or homework) as an efficient approach for examining students' abilities is drawing increasing attention in the education field. How to assess video assignments effectively and accurately has become a significant topic in academia. This work proposes a method based on a multi-channel CNN-LSTM hybrid architecture to extract and classify image features such as students' actions and expressions, as well as audio features such as speech rates and pauses in the video assignments, and then conducts a two-category assessment of "qualified" or "unqualified". Additionally, build this system in a cloud computing environment as a Cloud-based Intelligent Evaluation Service application could provide universal service to meet the needs of multiple teaching units. The proposed method is shown to be feasible and effective through experiments.
收录类别:SCIE
资源类型:期刊论文
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