Name
Title | ||
|---|---|---|
Sequential pattern mining method for analysis of programming learning history based on the learning process |
Abstract | ||
|---|---|---|
This research aims to realize a novel method for learning history analysis based on the learning processes in programming exercise classes. This paper proposes the sequential pattern mining method specialized for analysis of learning histories of programing learning. This paper initially describes a data processing method which investigates learning transitions as sequences based on the analyses of learners' source codes and compile errors generated in their exercises. Next, this paper describes an analysis support tool. This tool assists collection of learning histories, generation of sequence based on analysis of the histories, extraction of the noteworthy patterns based on SPADE algorithm and acquisition of findings from the extracted patterns. This tool enables to effectively analyze the relationships between learning processes in programming exercises and learning situations. Such analysis can contribute to practical grasping of learning situations in accordance with learning process and acquisition of advanced findings based on it. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICETC.2014.6998902 | Education Technologies and Computers |
Keywords | DocType | Citations |
computer science education,data mining,educational administrative data processing,programming,SPADE algorithm,data processing method,learning process,learning transitions,pattern extraction,programming exercise classes,programming learning history analysis,sequential pattern mining method,Education Support,Educational Data Mining,Learning History,Programming Learning,Sequential Pattern Mining | Conference | 1 |
PageRank | References | Authors |
0.35 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shoichi Nakamura | 1 | 1 | 1.70 |
| Kaname Nozaki | 2 | 1 | 0.35 |
| Yasuhiko Morimoto | 3 | 528 | 341.88 |
| Youzou Miyadera | 4 | 29 | 19.44 |