An automatic approach for discovering skill relationship from learning data

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

doi:10.1145/3027385.3029485

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 Proceedings › Conference (Extended Abstracts) › peer-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 language	English
Title of host publication	Proceedings of the Seventh International Learning Analytics & Knowledge Conference
Publisher	Association for Computing Machinery
Pages	608-609
Number of pages	2
ISBN (Print)	9781450348706
DOIs	https://doi.org/10.1145/3027385.3029485
Publication status	Published - 2017
Externally published	Yes
Event	7th International Learning Analytics and Knowledge Conference - Simon Fraser University , Vancouver, Canada Duration: 13 Mar 2017 → 17 Mar 2017 http://lak17.com

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	7th International Learning Analytics and Knowledge Conference
Abbreviated title	LAK 2017
Country/Territory	Canada
City	Vancouver
Period	13/03/17 → 17/03/17
Internet address	http://lak17.com

Funding

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).

Keywords

Data analytics
Deep learning
Embedding
Skill relationship

Access to Document

10.1145/3027385.3029485

Cite this

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). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3027385.3029485

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title = "An automatic approach for discovering skill relationship from learning data",

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",

author = "Tak-Lam WONG and Haoran XIE and WANG, \{Fu Lee\} and POON, \{Chung Keung\} and Di ZOU",

year = "2017",

doi = "10.1145/3027385.3029485",

language = "English",

isbn = "9781450348706",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "608--609",

booktitle = "Proceedings of the Seventh International Learning Analytics \& Knowledge Conference",

address = "United States",

note = "7th International Learning Analytics and Knowledge Conference, LAK 2017 ; Conference date: 13-03-2017 Through 17-03-2017",

url = "http://lak17.com",

}

WONG, T-L, XIE, H, WANG, FL, POON, CK & ZOU, D 2017, An automatic approach for discovering skill relationship from learning data. in Proceedings of the Seventh International Learning Analytics & Knowledge Conference. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 608-609, 7th International Learning Analytics and Knowledge Conference, Vancouver, Canada, 13/03/17. https://doi.org/10.1145/3027385.3029485

An automatic approach for discovering skill relationship from learning data. / WONG, Tak-Lam; XIE, Haoran; WANG, Fu Lee et al.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference. Association for Computing Machinery, 2017. p. 608-609 (ACM International Conference Proceeding Series).

Research output: Book Chapters | Papers in Conference Proceedings › Conference (Extended Abstracts) › peer-review

TY - CHAP

T1 - An automatic approach for discovering skill relationship from learning data

AU - WONG, Tak-Lam

AU - XIE, Haoran

AU - WANG, Fu Lee

AU - POON, Chung Keung

AU - ZOU, Di

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Data analytics

KW - Deep learning

KW - Embedding

KW - Skill relationship

UR - https://www.scopus.com/pages/publications/85016510150

U2 - 10.1145/3027385.3029485

DO - 10.1145/3027385.3029485

M3 - Conference (Extended Abstracts)

AN - SCOPUS:85016510150

SN - 9781450348706

T3 - ACM International Conference Proceeding Series

SP - 608

EP - 609

BT - Proceedings of the Seventh International Learning Analytics & Knowledge Conference

PB - Association for Computing Machinery

T2 - 7th International Learning Analytics and Knowledge Conference

Y2 - 13 March 2017 through 17 March 2017

ER -

An automatic approach for discovering skill relationship from learning data

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

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