作者机构：
[Liu, Sannyuya; Guo, Dongpo] Cent China Normal Univ, Natl Engn Res Ctr Elearning, Wuhan 430079, Peoples R China.;[Sun, Jianwen; Zhou, Dongbo] Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan 430079, Peoples R China.;[Yu, Jie] Wuhan Univ, Off Sci Res & Dev, Wuhan 490070, Peoples R China.
通讯机构：
[Zhou, Dongbo] C;Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan 430079, Peoples R China.
作者：
Liu, Sannyuya;Peng, Xian*;Cheng, Hercy N. H.;Liu, Zhi;Sun, Jianwen（孙建文）;...
期刊：
Journal of Educational Computing Research,2019年57(3):670-696 ISSN：0735-6331
通讯作者：
Peng, Xian
作者机构：
[Sun, Jianwen; Liu, Sannyuya; Cheng, Hercy N. H.; Liu, Zhi; Peng, Xian; Yang, Chongyang] Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Peng, Xian] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
关键词：
behavioral and sentimental analytics;topic modeling;learning analytics;behavior-sentiment topic mixture
摘要：
Course reviews, which is designed as an interactive feedback channel in Massive Open Online Courses, has promoted the generation of large-scale text comments. These data, which contain not only learners' concerns, opinions and feelings toward courses, instructors, and platforms but also learners' interactions (e.g., post, reply), are generally subjective and extremely valuable for online instruction. The purpose of this study is to automatically reveal these potential information from 50 online courses by an improved unified topic model Behavior-Sentiment Topic Mixture, which is validated and effective for detecting frequent topics learners discuss most, topics-oriented sentimental tendency as well as how learners interact with these topics. The results show that learners focus more on the topics about course-related content with positive sentiment, as well as the topics about course logistics and video production with negative sentiment. Moreover, the distributions of behaviors associated with these topics have some differences.
作者机构：
[Sun, Jianwen; Liu, Sannyuya; Liu, Zhi; Yang, Chongyang] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.;[Ruedian, Sylvio] Humboldt Univ, Dept Comp Sci, Berlin, Germany.
会议名称：
7th International Conference of Educational Innovation through Technology (EITT)
会议时间：
DEC 11-14, 2018
会议地点：
Massey Univ, Sch Humanities, Auckland, NEW ZEALAND
会议主办单位：
Massey Univ, Sch Humanities
会议论文集名称：
Proceedings of the International Conference of Educational Innovation through Technology
关键词：
Small Private Online Courses (SPOCs);discussion forum;topic model;emotion analysis;evolutionary trends
摘要：
Small private online courses (SPOCs) have drawn widespread attention due to their adaptability to blended learning in formal education. As a type of interactive tool, many SPOC forums have stored rich textual data including focused learning content and feedback. However, currently, this information is used mainly for measuring students' activity levels instead of academic emotion and their evolutionary trends throughout a teaching period. This paper presents an unsupervised forum understanding model, namely the temporal emotion-topic model (TETM), to model time jointly with emotions and topics. This model is applied to track the evolutionary trends of pairs of {emotion, topic}, i.e., emot-topics. Especially, for each emotion, the most significant topic can be extracted and tracked across a semester. Finally, we investigate the emot-topics differences of different achievement levels of students, and examine the dynamics of emot-topics over course weeks to gain some insights about the relationship between time, emotion and learning achievement. The tracking of emot-topics could be valuable if users are informed of what students are concerned about and how these topics evolve in courses.
作者：
Liu, Zhi;Zhang, Wenjing;Cheng, Hercy N. H.;Sun, Jianwen（孙建文）;Liu, Sannyuya
期刊：
International Journal of Distance Education Technologies,2018年16(2):37-50 ISSN：1539-3100
作者机构：
[Sun, Jianwen; Zhang, Wenjing; Liu, Sannyuya; Liu, Zhi; Cheng, Hercy N. H.] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
关键词：
Zhi Liu;Wenjing Zhang;Hercy N. H. Cheng;Jianwen Sun;Sannyuya Liu;Investigating Relationship Between Discourse Behavioral Patterns and Academic Achievements of Students in SPOC Discussion Forum: Education;IGI Global;Journal Article;Education;IGI Publishing
