A recommender system for supporting students in programming online judges

Yera, R; Rodríguez, RM; Castro, J; Martínez, L

A recommender system for supporting students in programming online judges

Yera, R Rodríguez, RM Castro, J

Martínez, L

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Publication Type:: Conference Proceeding
Citation:: Smart Innovation, Systems and Technologies, 2017, 75 pp. 215 - 225
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Yera, R	en_US
dc.contributor.author	Rodríguez, RM	en_US
dc.contributor.author	Castro, J https://orcid.org/0000-0002-8390-8238	en_US
dc.contributor.author	Martínez, L	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Smart Innovation, Systems and Technologies, 2017, 75 pp. 215 - 225	en_US
dc.identifier.isbn	9783319594507	en_US
dc.identifier.issn	2190-3018	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132837
dc.description.abstract	© Springer International Publishing AG 2018. Programming Online Judges (POJs) are tools that contain a large collection of programming problems to be solved by students as a component of their training and programming practices. This contribution presents a recommendation approach to suggest to students the more suitable problems to solve for increasing their performance and motivation in POJs. Some key features of the approach are the use of an enriched user-problem matrix that incorporates specific information related to the user performance in the POJ, and the development of a strategy for natural noise management in such a matrix. The experimental evaluation shows the improvements of the proposal as compared to previous works.	en_US
dc.relation.ispartof	Smart Innovation, Systems and Technologies	en_US
dc.relation.isbasedon	10.1007/978-3-319-59451-4_21	en_US
dc.title	A recommender system for supporting students in programming online judges	en_US
dc.type	Conference Proceeding
utslib.citation.volume	75	en_US
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	75	en_US

Abstract:

© Springer International Publishing AG 2018. Programming Online Judges (POJs) are tools that contain a large collection of programming problems to be solved by students as a component of their training and programming practices. This contribution presents a recommendation approach to suggest to students the more suitable problems to solve for increasing their performance and motivation in POJs. Some key features of the approach are the use of an enriched user-problem matrix that incorporates specific information related to the user performance in the POJ, and the development of a strategy for natural noise management in such a matrix. The experimental evaluation shows the improvements of the proposal as compared to previous works.

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http://hdl.handle.net/10453/132837