Title
Development of Debugging Exercise Extraction System using Learning History
Abstract
We have proposed an editing history visualization system which can confirm where and how the learner modified program. We utilized this system for actual flipped classroom and stored a large amount of learning logs. This learning log contains all the source code in the process of being modified until the program is completed. We developed a debugging exercise extraction system to automatically generate problems for debugging practice from this learning log. The debugging exercise extraction tool we developed extracted 18,680 source codes (which became practice problems) that included syntactic errors that could be used as a debugging exercise from 16 weeks of program edit history data (total number is 31,562 files). The execution time was 488 seconds. Since it can be analyzed only once every six months, we believe it is a sufficiently practical execution time.
Year
DOI
Venue
2019
10.1109/T4E.2019.00056
2019 IEEE Tenth International Conference on Technology for Education (T4E)
Keywords
Field
DocType
e-Learning, Self Study, Artificial Teacher, Language Leaning, Learning History
Flipped classroom,Programming language,Visualization,Computer science,Source code,Self study,Learning history,Execution time,Syntax,Multimedia,Debugging
Conference
ISBN
Citations 
PageRank 
978-1-7281-4228-9
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Katsuyuki Umezawa100.34
Makoto Nakazawa242.50
Masayuki Goto300.34
Shigeichi Hirasawa4322150.91