Name
Title | ||
|---|---|---|
Mining Mathematics Learning Strategies of High and Low Performing Students using Log Data |
Abstract | ||
|---|---|---|
Self-regulation in learning involves planning and utilizing different shared resources. This study investigates learning strategies of different student groups when they are accessing course materials in digital medium - one group is the students with high academic performance, the other is the students with low academic performance. We analyze data of 116 students from a mathematics course in a junior high school. Using the differential pattern mining technique, we highlight underlying course content accessing patterns from the learning log collected by an e-book system, BookRoll. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICALT52272.2021.00074 | 2021 International Conference on Advanced Learning Technologies (ICALT) |
Keywords | DocType | ISSN |
Sequence Mining,Learning Analytics,Digital Textbook,BookRoll,Mathematics Education | Conference | 2161-3761 |
ISBN | Citations | PageRank |
978-1-6654-3116-3 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiayu Li | 1 | 0 | 0.34 |
| Rwitajit Majumdar | 2 | 0 | 2.03 |
| Hiroaki Ogata | 3 | 2 | 1.57 |