Paper Info
Title
A Case Study of Analyzing Logs of LMS in Flipped Classroom
Abstract
This paper shows a case study of analyzing the log of a learning management system (LMS) in a flipped classroom. We investigate the relation between the preparation of students before class and their test scores through the LMS log. The teacher of a course in the case study gives the students a document and a quiz about the content of the next class through the LMS. Then, a simple test is conducted in the first 10 minutes of the class to evaluate the students' understanding of the content. We focus on the number of times that the students read the document and took the quiz. We also consider the time spent to take the quiz. We construct a decision tree from the log and the test scores to classify the students. We found some patterns from the tree to characterize students according to score categories, although the tree did not classify them perfectly.
Year
DOI
Venue
2015
10.1109/IIAI-AAI.2015.255
IIAI-AAI
Keywords
Field
DocType
flipped classroom, learning management system (LMS), Moodle, educational data mining, learning analysis
Decision tree,Flipped classroom,Learning Management,Computer science,Educational data mining,Multimedia
Conference
ISBN
Citations 
PageRank 
978-1-4799-9957-6
1
0.35
References 
Authors
5
2
Name
Order
Citations
PageRank
Yasuhiro Yamada15210.97
Masahito Hirakawa231487.28