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 proceedingConference contributionpeer-review

3 Citations (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.

Original languageEnglish
Title of host publicationLAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference
Subtitle of host publicationUnderstanding, Informing and Improving Learning with Data
Pages608-609
Number of pages2
ISBN (Electronic)9781450348706
DOIs
Publication statusPublished - 13 Mar 2017
Externally publishedYes
Event7th International Conference on Learning Analytics and Knowledge, LAK 2017 - Vancouver, Canada
Duration: 13 Mar 201717 Mar 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Learning Analytics and Knowledge, LAK 2017
Country/TerritoryCanada
CityVancouver
Period13/03/1717/03/17

Keywords

  • Data analytics
  • Deep learning
  • Embedding
  • Skill relationship

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