research-article

Using Visual Learning Analytics to Support Competence-based Learning

Authors:

Mikel Villamañe,

Ainhoa Álvarez,

Mikel Larrañaga,

Jessica Caballero,

Oscar Hernández-RivasAuthors Info & Claims

TEEM'18: Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality

Pages 333 - 338

https://doi.org/10.1145/3284179.3284233

Published: 24 October 2018 Publication History

Abstract

Competence-based Learning has become more and more popular in the last few years and some researchers have claimed that formative assessment should be followed to improve the learning processes. In order to achieve the mastery of competencies, many lecturers have been required to adopt various and diverse applications in their courses to work on those competences. The use of several applications brings new challenges, as the information of the learning processes is distributed among these systems and getting a global picture of the evolution becomes much harder. Therefore, systems that enable gathering and unifying formative assessment information coming from various sources in order to extract significant information about the global learning process are needed. In this paper, we present a system called COBLE (Competence-Based Learning Environment) that supports Competence-based Learning and combines Visual Learning Analytics and recommendation aspects in order to promote the students' and lecturers' self-reflection about the learning and teaching processes. COBLE supports data from different sources to be integrated, providing the users with the complete report of what is going on in their courses.

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Cited By

Khan SBlessing LNdiaye Y(2023)Artificial Intelligence for Competency Assessment in Design Education: A Review of LiteratureDesign in the Era of Industry 4.0, Volume 310.1007/978-981-99-0428-0_85(1047-1058)Online publication date: 25-Jul-2023
https://doi.org/10.1007/978-981-99-0428-0_85
Soltan GZunimova GSarsenbayeva G(2020)The Algorithm for Designing Competency Oriented Educational Programs Based on the Data Analysis of Academic Processes2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)10.1109/USBEREIT48449.2020.9117787(1-4)Online publication date: May-2020
https://doi.org/10.1109/USBEREIT48449.2020.9117787

Index Terms

Using Visual Learning Analytics to Support Competence-based Learning
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Visual analytics
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Student assessment

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TEEM'18: Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality

October 2018

1072 pages

ISBN:9781450365185

DOI:10.1145/3284179

Editor:
Francisco José García-Peñalvo
University of Salamanca

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Salamanca: University of Salamanca

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2018

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Research-article
Research
Refereed limited

Funding Sources

Euskal Herriko Unibertsitatea
Vice-Chancellor for Innovation, Social Engagement and Cultural Action of the UPV/EHU
Eusko Jaurlaritza

Conference

TEEM'18

TEEM'18: Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality

October 24 - 26, 2018

Salamanca, Spain

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TEEM'18 Paper Acceptance Rate 151 of 243 submissions, 62%;

Overall Acceptance Rate 496 of 705 submissions, 70%

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Cited By

Khan SBlessing LNdiaye Y(2023)Artificial Intelligence for Competency Assessment in Design Education: A Review of LiteratureDesign in the Era of Industry 4.0, Volume 310.1007/978-981-99-0428-0_85(1047-1058)Online publication date: 25-Jul-2023
https://doi.org/10.1007/978-981-99-0428-0_85
Soltan GZunimova GSarsenbayeva G(2020)The Algorithm for Designing Competency Oriented Educational Programs Based on the Data Analysis of Academic Processes2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)10.1109/USBEREIT48449.2020.9117787(1-4)Online publication date: May-2020
https://doi.org/10.1109/USBEREIT48449.2020.9117787

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