Abstract
We have developed a method called skill2vec, which applies big data techniques to automatically analyze the learning data to discover skill relationship, leading to a more objective and datainformed decision making. Skill2vec is a neural network architecture which can transform a skill to a new vector space called embedding. The embedding can facilitate the comparison and visualization of different skills and their relationship. We conducted a pilot experiment using benchmark dataset to demonstrate the effectiveness of our method. Copyright © 2017 ACM.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Seventh International Learning Analytics & Knowledge Conference |
| Place of Publication | New York |
| Publisher | ACM |
| Pages | 608-609 |
| ISBN (Print) | 9781450348706 |
| DOIs | |
| Publication status | Published - 2017 |
Citation
Wong, T.-L., Xie, H., Wang, F. L., Poon, C. K., & Zou, D. (2017). An automatic approach for discovering skill relationship from learning data. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 608-609). New York: ACM.Keywords
- Deep learning
- Skill relationship
- Data analytics
- Embedding