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|Title:||An automatic approach for discovering skill relationship from learning data||Author(s):||Xie, Haoran
Wang, Philips Fu Lee
Poon, Chung Keung
Wong, Tak Lam
|Author(s):||Zou, D.||Issue Date:||2017||Publisher:||Association for Computing Machinery||Related Publication(s):||LAK '17: Proceedings of the Seventh International Learning Analytics & Knowledge Conference||Start page:||608||End page:||609||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 data-informed 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.
|URI:||https://repository.cihe.edu.hk/jspui/handle/cihe/455||CIHE Affiliated Publication:||Yes|
|Appears in Collections:||CIS Publication|
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