Name
Abstract | ||
|---|---|---|
With the advent of the Internet and wide-spread popularity of online technology-enhanced learning platforms, many pedagogical activities today involve learners in online discussions such as synchronous chat. In this study, we describe a text mining method used for analyzing teamwork from such chat dialogue of students. The steps in the text mining method such as pre-processing and classification are described and the results of our analysis are presented in this paper. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | teamwork, dialogue, chat, text mining, learning analytics |
Field | DocType | Citations |
Data mining,Computer science,Popularity,Artificial intelligence,The Internet,Teamwork,Text mining,Algorithm design,Feature extraction,Statistical classification,Multimedia,Machine learning,Encoding (memory) | Conference | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonette Shibani | 1 | 7 | 3.50 |
| Elizabeth Koh | 2 | 30 | 6.27 |
| Vivian Lai | 3 | 6 | 3.11 |
| Kyong Jin Shim | 4 | 67 | 13.91 |