Collecting and analysing learners data to support the adaptive engine of OPERA, a learning system for mathematics

Marisa Oliveira; Alcinda Barreiras; Graça Marcos; Hermínia Ferreira; Ana Azevedo; Carlos Vaz de Carvalho

doi:10.5220/0006389806310638

Collecting and analysing learners data to support the adaptive engine of OPERA, a learning system for mathematics

Marisa Oliveira, Alcinda Barreiras, Graça Marcos, Hermínia Ferreira, Ana Azevedo, Carlos Vaz de Carvalho

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

12 Downloads

Abstract

Learning mathematics has always been (and still is) a major issue. Many students fail to understand the basic concepts and/or are unable to apply them. These students end up moving to other subject areas or simply dropping out. One of the major reasons for this problem is the fact that the educational system is only prepared to apply standardized teaching methods that do not respect or fit the individual characteristics of each student. This paper presents the OPERA learning adaptive system that provides the foundations for further mathematics learning while addressing the diversity of the users/learners. OPERA collects learner interaction data to monitor the learning process in an active and contextualized way and to identify the users' difficulties and achieved knowledge in each stage. Based on the data analysis, OPERA then reorganizes the sequence of contents and provides the precise information needed to progress which makes learning much more efficient.

Original language	English
Title of host publication	CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education
Editors	Paula Escudeiro, Gennaro Costagliola, Susan Zvacek, James Uhomoibhi, Bruce M. McLaren
Publisher	SciTePress
Pages	631-638
Number of pages	8
Volume	1
ISBN (Electronic)	9789897582394
DOIs	https://doi.org/10.5220/0006389806310638
Publication status	Published - 2017
Externally published	Yes
Event	9th International Conference on Computer Supported Education, CSEDU 2017 - Porto, Portugal Duration: 21 Apr 2017 → 23 Apr 2017

Publication series

Name	CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education
Volume	1
ISSN (Print)	2184-5026

Conference

Conference	9th International Conference on Computer Supported Education, CSEDU 2017
Country/Territory	Portugal
City	Porto
Period	21/04/17 → 23/04/17

Keywords

Active learning
Adaptive learning systems
Computer aided learning
Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5220/0006389806310638Licence: CC BY-NC-ND

26756625Final published version, 764 KBLicence: CC BY-NC-ND

Cite this

Oliveira, M., Barreiras, A., Marcos, G., Ferreira, H., Azevedo, A., & Carvalho, C. V. D. (2017). Collecting and analysing learners data to support the adaptive engine of OPERA, a learning system for mathematics. In P. Escudeiro, G. Costagliola, S. Zvacek, J. Uhomoibhi, & B. M. McLaren (Eds.), CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education (Vol. 1, pp. 631-638). (CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education; Vol. 1). SciTePress. https://doi.org/10.5220/0006389806310638

Oliveira, Marisa ; Barreiras, Alcinda ; Marcos, Graça et al. / Collecting and analysing learners data to support the adaptive engine of OPERA, a learning system for mathematics. CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education. editor / Paula Escudeiro ; Gennaro Costagliola ; Susan Zvacek ; James Uhomoibhi ; Bruce M. McLaren. Vol. 1 SciTePress, 2017. pp. 631-638 (CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education).

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abstract = "Learning mathematics has always been (and still is) a major issue. Many students fail to understand the basic concepts and/or are unable to apply them. These students end up moving to other subject areas or simply dropping out. One of the major reasons for this problem is the fact that the educational system is only prepared to apply standardized teaching methods that do not respect or fit the individual characteristics of each student. This paper presents the OPERA learning adaptive system that provides the foundations for further mathematics learning while addressing the diversity of the users/learners. OPERA collects learner interaction data to monitor the learning process in an active and contextualized way and to identify the users' difficulties and achieved knowledge in each stage. Based on the data analysis, OPERA then reorganizes the sequence of contents and provides the precise information needed to progress which makes learning much more efficient.",

keywords = "Active learning, Adaptive learning systems, Computer aided learning, Mathematics",

author = "Marisa Oliveira and Alcinda Barreiras and Gra{\c c}a Marcos and Herm{\'i}nia Ferreira and Ana Azevedo and Carvalho, {Carlos Vaz de}",

note = "Publisher Copyright: Copyright {\textcopyright} 2017 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 9th International Conference on Computer Supported Education, CSEDU 2017 ; Conference date: 21-04-2017 Through 23-04-2017",

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doi = "10.5220/0006389806310638",

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Oliveira, M, Barreiras, A, Marcos, G, Ferreira, H, Azevedo, A & Carvalho, CVD 2017, Collecting and analysing learners data to support the adaptive engine of OPERA, a learning system for mathematics. in P Escudeiro, G Costagliola, S Zvacek, J Uhomoibhi & BM McLaren (eds), CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education. vol. 1, CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education, vol. 1, SciTePress, pp. 631-638, 9th International Conference on Computer Supported Education, CSEDU 2017, Porto, Portugal, 21/04/17. https://doi.org/10.5220/0006389806310638

Collecting and analysing learners data to support the adaptive engine of OPERA, a learning system for mathematics. / Oliveira, Marisa; Barreiras, Alcinda; Marcos, Graça et al.
CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education. ed. / Paula Escudeiro; Gennaro Costagliola; Susan Zvacek; James Uhomoibhi; Bruce M. McLaren. Vol. 1 SciTePress, 2017. p. 631-638 (CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Barreiras, Alcinda

AU - Marcos, Graça

AU - Ferreira, Hermínia

AU - Azevedo, Ana

AU - Carvalho, Carlos Vaz de

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Oliveira M, Barreiras A, Marcos G, Ferreira H, Azevedo A, Carvalho CVD. Collecting and analysing learners data to support the adaptive engine of OPERA, a learning system for mathematics. In Escudeiro P, Costagliola G, Zvacek S, Uhomoibhi J, McLaren BM, editors, CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education. Vol. 1. SciTePress. 2017. p. 631-638. (CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education). doi: 10.5220/0006389806310638

Collecting and analysing learners data to support the adaptive engine of OPERA, a learning system for mathematics

Abstract

Publication series

Conference

Keywords

UN SDGs

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