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.
|Title of host publication||Proceedings of the Seventh International Learning Analytics & Knowledge Conference|
|Publisher||Association for Computing Machinery|
|Number of pages||2|
|Publication status||Published - 2017|
|Event||7th International Learning Analytics and Knowledge Conference - Simon Fraser University , Vancouver, Canada|
Duration: 13 Mar 2017 → 17 Mar 2017
|Name||ACM International Conference Proceeding Series|
|Conference||7th International Learning Analytics and Knowledge Conference|
|Abbreviated title||LAK 2017|
|Period||13/03/17 → 17/03/17|
Bibliographical noteThe work described in this paper is substantially supported by the grants from Research Grants Council of the HKSAR (Ref.: UGC/FDS11/E06/14, UGC/FDS11/E02/15, UGC/FDS11/E03/16).
- Data analytics
- Deep learning
- Skill relationship