Open AccessAnalysis of learning behaviour based on edX open data
Author(s) -
Jian Feng,
Yupeng Zhao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1738/1/012132
Subject(s) - computer science , field (mathematics) , foundation (evidence) , research data , set (abstract data type) , open education , data set , mathematics education , world wide web , data science , psychology , artificial intelligence , mathematics , political science , pure mathematics , law , data curation , programming language
Since 2012, the continuous development of MOOC has triggered new thinking and research in many aspects, and the massive data it generates provides a foundation for learning behaviour analysis and education data research. edX is a new field of Web education jointly developed by Harvard University and MIT integrating educational resources. Based on the first MOOC open data set released by edX, through the use of data analysis methods, the learners in edX are studied from the three aspects of learner type, learner characteristics, and learner behaviour to show the actual situation of MOOC learning.