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Automatic evaluation of online learning interaction content using domain concepts

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成果类型:
期刊论文
作者:
Wu, Di(吴砥);Wu, Lei;Palmer, Alexis;Kinshuk;Zhou, Peng*
通讯作者:
Zhou, Peng
作者机构:
[Wu, Di; Wu, Lei; Zhou, Peng] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
[Palmer, Alexis] Univ North Texas, Dept Linguist, Denton, TX 76203 USA.
[Kinshuk] Univ North Texas, Coll Informat, Denton, TX 76203 USA.
通讯机构:
[Zhou, Peng] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
语种:
英文
关键词:
Online learning;Concept extraction;Content quality;Domain concepts;Interaction content
期刊:
ELECTRONIC LIBRARY
ISSN:
0264-0473
年:
2020
卷:
38
期:
3
页码:
421-445
基金类别:
This work was supported by the general topic of the Education Science Program of the National Social Science Foundation, “Research on the Construction and Application of the Informatization Development Index of Basic Education in China” [grant number BCA180091]; and the China Scholarship Council [grant number 201806775045].
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Purpose: Interaction content is created during online learning interaction for the exchanged information to convey experience and share knowledge. Prior studies have mainly focused on the quantity of online learning interaction content (OLIC) from the perspective of types or frequency, resulting in a limited analysis of the quality of OLIC. Domain concepts as the highest form of interaction are shown as entities or things that are particularly relevant to the educational domain of an online course. The purpose of this paper is to explore a new ...

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