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Authors: Patrícia Alejandra Behar 1 ; Ketia Kellen A. da Silva 1 ; Daisy Schneider 1 ; Sílvio César Cazella 2 ; Cristina A. W. Torrezzan 1 and Edimara Heis 1

Affiliations: 1 UFRGS, Brazil ; 2 UFCSPA, Brazil

ISBN: 978-989-758-158-8

Keyword(s): Recommendation Systems, Learning Objects, Competences.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Best Practices & Communities of Practice ; Communities of Practice ; Computer-Supported Education ; e-Business ; Education/Learning ; e-Learning ; Enterprise Information Systems ; Human-Computer Interaction ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Learning Organization & Organizational Learning ; Learning/Teaching Methodologies and Assessment ; Society, e-Business and e-Government ; Symbolic Systems ; Tools and Technology for Knowledge Management ; Web Information Systems and Technologies

Abstract: This article describes the development and evaluation of a learning objects (LOs) recommendation system based on competences called RecOAComp. For such, the multidisciplinary team was composed by educators, programmers and designers. Its purpose is to make recommendations based on the user profile. Thus, it works by filtering and suggesting LOs that can support the subject in the construction of competences according to her/his needs. RecOAComp was used in stricto sensu graduate courses on Education and Informatics in Education between 2011 and 2015, involving more than 150 subjects. The obtained results derived in system reprogramming, interface improving, student/teacher profile characterization and usability parameters implementing; besides inserting new competences and LOs in the databank. Currently, the project is aimed at implementation of collaborative filtering, with which students evaluate the relevance of the indicated LOs, adding this information to the recommendation. In a ddition, RecOAComp will be made available in plug-in format for Distance Education environments. Therefore, this study aims to provide a LOs recommendation system in different educational modalities, supported on the needs of each student in order to collaborate with her/his competence-building processes. (More)

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Paper citation in several formats:
Behar, P.; Behar, P.; A. da Silva, K.; Schneider, D.; Cazella, S.; W. Torrezzan, C. and Heis, E. (2015). Development and System Assessment of Learning Object Recommendation based on Competency - RecOAComp.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015) ISBN 978-989-758-158-8, pages 274-280. DOI: 10.5220/0005641102740280

@conference{kmis15,
author={Patrícia Alejandra Behar. and Patrícia Alejandra Behar. and Ketia Kellen A. da Silva. and Daisy Schneider. and Sílvio César Cazella. and Cristina A. W. Torrezzan. and Edimara Heis.},
title={Development and System Assessment of Learning Object Recommendation based on Competency - RecOAComp},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015)},
year={2015},
pages={274-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005641102740280},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015)
TI - Development and System Assessment of Learning Object Recommendation based on Competency - RecOAComp
SN - 978-989-758-158-8
AU - Behar, P.
AU - Behar, P.
AU - A. da Silva, K.
AU - Schneider, D.
AU - Cazella, S.
AU - W. Torrezzan, C.
AU - Heis, E.
PY - 2015
SP - 274
EP - 280
DO - 10.5220/0005641102740280

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