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: Book Chapters | Papers in Conference ProceedingsConference (Extended Abstracts)peer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of the Seventh International Learning Analytics & Knowledge Conference
PublisherAssociation for Computing Machinery
Number of pages2
ISBN (Print)9781450348706
Publication statusPublished - 2017
Externally publishedYes
Event7th International Learning Analytics and Knowledge Conference - Simon Fraser University , Vancouver, Canada
Duration: 13 Mar 201717 Mar 2017

Publication series

NameACM International Conference Proceeding Series


Conference7th International Learning Analytics and Knowledge Conference
Abbreviated titleLAK 2017
Internet address

Bibliographical note

The 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
  • Embedding
  • Skill relationship


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