Analysing the evolution of student interaction patterns in a Massive Private Online Course

doi:10.1080/10494820.2022.2096640

CSpace

	Analysing the evolution of student interaction patterns in a Massive Private Online Course
	Sun, Di 1; Cheng, Gang 2; Luo, Heng 3
	2022
发表期刊	INTERACTIVE LEARNING ENVIRONMENTS
ISSN	1049-4820
摘要	Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in learning processes, particularly for students with differing achievements. This paper explores the use of sequential pattern mining to address the evolution of student action patterns in Massive Private Online Courses (MPOCs) and compare these patterns between different achievement groups. The study was conducted with first-year undergraduate computer science students enrolled in a computer application course at a traditional open university in one of the Chinese provinces (N = 1375). The results showed the development of various action patterns in each phase of the course and the distinct action patterns for high-achieving and low-achieving students. The findings of study provide a new perspective for instructors and students to understand interaction patterns at the fine-grained level, and can help instructional designers develop learner-cantered courses and platforms to improve online learning.
关键词	Sequential pattern mining pattern evolution interaction action academic achievement online learning
DOI	10.1080/10494820.2022.2096640
收录类别	SSCI
语种	英语
资助项目	Research Grant of the Open University of China, Evaluation model and tool based on learning analytics for the effect of learning resources application in online education;Higher Education Research Project of Hubei Province [2021085];
WOS研究方向	Education & Educational Research
WOS类目	Education & Educational Research
WOS记录号	WOS:000822325600001
出版者	ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
原始文献类型	Article ; Early Access
EISSN	1744-5191
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.library.ouchn.edu.cn/handle/39V7QQFX/25055
专题	国家开放大学
通讯作者	Luo, Heng
作者单位	1.Dalian Univ Technol, Grad Sch Educ, Dalian, Peoples R China; 2.Open Univ China, Dept Learning Resource & Digital Lib, Beijing, Peoples R China; 3.Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan, Peoples R China
推荐引用方式 GB/T 7714	Sun, Di,Cheng, Gang,Luo, Heng. Analysing the evolution of student interaction patterns in a Massive Private Online Course[J]. INTERACTIVE LEARNING ENVIRONMENTS,2022.
APA	Sun, Di,Cheng, Gang,&Luo, Heng.(2022).Analysing the evolution of student interaction patterns in a Massive Private Online Course.INTERACTIVE LEARNING ENVIRONMENTS.
MLA	Sun, Di,et al."Analysing the evolution of student interaction patterns in a Massive Private Online Course".INTERACTIVE LEARNING ENVIRONMENTS (2022).