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 
Keywords: Data analytics
Deep learning
Embedding
Skill relationship
Issue Date: 2017
Publisher: Association for Computing Machinary
Source: ACM international conference proceeding series, 2017, p. 608-609 How to cite?
Journal: ACM international conference proceeding series 
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.
Description: 7th International Conference on Learning Analytics and Knowledge, LAK 2017, 13 - 17 March 2017
URI: http://hdl.handle.net/10397/74283
ISBN: 9781450348706
DOI: 10.1145/3027385.3029485
Appears in Collections:Conference Paper

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