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 proceedingConference contributionpeer-review

5 Citations (Scopus)

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 languageEnglish
Title of host publicationCSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education
EditorsPaula Escudeiro, Gennaro Costagliola, Susan Zvacek, James Uhomoibhi, Bruce M. McLaren
PublisherSciTePress
Pages631-638
Number of pages8
Volume1
ISBN (Electronic)9789897582394
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event9th International Conference on Computer Supported Education, CSEDU 2017 - Porto, Portugal
Duration: 21 Apr 201723 Apr 2017

Publication series

NameCSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education
Volume1
ISSN (Print)2184-5026

Conference

Conference9th International Conference on Computer Supported Education, CSEDU 2017
Country/TerritoryPortugal
CityPorto
Period21/04/1723/04/17

Keywords

  • Active learning
  • Adaptive learning systems
  • Computer aided learning
  • Mathematics

Fingerprint

Dive into the research topics of 'Collecting and analysing learners data to support the adaptive engine of OPERA, a learning system for mathematics'. Together they form a unique fingerprint.

Cite this