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Mining individual learning topics in course reviews based on author topic model

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成果类型:
期刊论文
作者:
Liu, Sanya;Ni, Cheng;Liu, Zhi;Peng, Xian;Cheng, Hercy N.H.
通讯作者:
Liu, SY
作者机构:
[Liu, Sanya; Ni, Cheng; Liu, Zhi; Cheng, Hercy N.H.; Peng, Xian] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
通讯机构:
[Liu, SY ]
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Sanya Liu;Cheng Ni;Zhi Liu;Xian Peng;Hercy N.H. Cheng;Mining Individual Learning Topics in Course Reviews Based on Author Topic Model: Education;IGI Global;Journal Article;Education;IGI Publishing
期刊:
International Journal of Distance Education Technologies
ISSN:
1539-3100
年:
2017
卷:
15
期:
3
页码:
1-14
基金类别:
National Social Science Fund Project of China [14BGL131]; Humanities andSocial Sciences Foundation of the Ministry of Education [16YJC880052]
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:
Nowadays, Massive Open Online Courses (MOOC) has obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data in education. To mine useful information from these data, we need to use educational data mining and learning analysis technique to study the learning feelings and discussed topics among learners. This paper aims to mine and analyze topic information hid...

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