Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74283
Title: An automatic approach for discovering skill relationship from learning data
Authors: Wong, TL
Xie, H
Wang, FL
Poon, CK
Zou, D 
Issue Date: 2017
Source: ACM international conference proceeding series, 2017, p. 608-609
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 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.
Keywords: Data analytics
Deep learning
Embedding
Skill relationship
Publisher: Association for Computing Machinary
Journal: ACM international conference proceeding series 
ISBN: 9781450348706
DOI: 10.1145/3027385.3029485
Description: 7th International Conference on Learning Analytics and Knowledge, LAK 2017, 13 - 17 March 2017
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

1
Last Week
0
Last month
Citations as of Jul 13, 2020

Page view(s)

82
Citations as of Jul 14, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.