An automatic approach for discovering skill relationship from learning data

Tak Lam WONG, Haoran XIE, Fu Lee WANG, Chung Keung POON, Di ZOU

Research output: Chapter in Book/Report/Conference proceedingChapters

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings of the Seventh International Learning Analytics & Knowledge Conference
Place of PublicationNew York
PublisherACM
Pages608-609
ISBN (Print)9781450348706
DOIs
Publication statusPublished - 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

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