An Analysis of Student Behavior in Two Massive Open Online Courses

被引：0

作者：

Schaffer, James ^{[1
]}

Huynh, Brandon ^{[1
]}

O'Donovan, John ^{[1
]}

Hollerer, Tobias ^{[1
]}

Xia, Yinglong ^{[2
]}

Lin, Sabrina ^{[2
]}

机构：

[1] Univ Calif Santa Barbara, Dept Comp Sci, Santa Barbara, CA 93106 USA

[2] IBM Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA

来源：

PROCEEDINGS OF THE 2016 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING ASONAM 2016 | 2016年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Massive open online courses (MOOCs) have high potential for improving education worldwide, but understanding of student behavior and situations is difficult to achieve in online settings. Network analytics and visualizations can assist instructors with supporting understanding of student behavior as courses unfold. In this work, we perform a visual comparative analysis of two different MOOC courses to analyze the impacts of course structure differences and demonstrate the benefits of visual network analysis in this context. We present several insights: (1) behavior features that are best for prediction of student attrition varied with course structure, (2) a large proportion (about 35%) of students never received a reply to their original post and this was correlated with an eventual dropout, and (3) students that received a reply to their original post were twice as likely to post again. We contribute several information visualizations of student network data and draw recommendations for MOOC instructors and designers of course systems.

引用

页码：380 / 385

页数：6

共 15 条

[1]

[Anonymous], 2012, Social Network Analysis

[2]

[Anonymous], 2015, Retriev Technologies

[3]

Coetzee D., 2014, P 17 ACM C COMP SUPP, P1176, DOI DOI 10.1145/2531602.2531657

[4]

Coetzee D., 2014, P 1 ACM C LEARNING S, P127, DOI [10.1145/2556325, DOI 10.1145/2556325, DOI 10.1145/2556325.2566242]

[5] CENTRALITY IN SOCIAL NETWORKS CONCEPTUAL CLARIFICATION [J].

FREEMAN, LC .

SOCIAL NETWORKS, 1979, 1 (03) :215-239

[6]

Halawa S., 2014, P 2 EUR MOOC STAKEHO, V37, P7

[7] iTRAQ-proteomics and bioinformatics analyses of mammary tissue from cows with clinical mastitis due to natural infection with Staphylococci aureus [J].

Huang, Jinming ;

Luo, Guojing ;

Zhang, Zijing ;

Wang, Xiuge ;

Ju, Zhihua ;

Qi, Chao ;

Zhang, Yan ;

Wang, Changfa ;

Li, Rongling ;

Li, Jianbin ;

Yin, Weijun ;

Xu, Yinxue ;

Moisa, Sonia J. ;

Loor, Juan J. ;

Zhong, Jifeng .

BMC GENOMICS, 2014, 15

[8]

Kizilcec R.F., 2014, Encouraging Forum Participation in Online Courses with Collectivist, P17

[9]

KOTTURI Y., 2015, Proceedings of the Second (2015) ACM Conference on Learning @ Scale - L@S'15, P31

[10]

Leary Timothy., 2009, Turn on, Tune in, Drop Out

← 1 2 →