2024-03-29T06:32:13Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/62472023-08-28T12:06:49Zcom_10259.4_2503com_10259_5086com_10259_2604com_10259_4219com_10259_5841col_10259.4_2504col_10259_4220col_10259_5842
Lifelong Learning from Sustainable Education: An Analysis with Eye Tracking and Data Mining Techniques
Sáiz Manzanares, María Consuelo
Rodríguez Diez, Juan José
Marticorena Sánchez, Raúl
Zaparaín Yáñez, Mª José
Cerezo Menéndez, Rebeca
Advanced learning technologies
Lifelong learning
Sustainability education
Eye tracking
Data mining techniques
Enseñanza superior
Psicología
Informática
Education, Higher
Psychology
Computer science
The use of learning environments that apply Advanced Learning Technologies (ALTs) and Self-Regulated Learning (SRL) is increasingly frequent. In this study, eye-tracking technology was used to analyze scan-path differences in a History of Art learning task. The study involved 36 participants (students versus university teachers with and without previous knowledge). The scan-paths were registered during the viewing of video based on SRL. Subsequently, the participants were asked to solve a crossword puzzle, and relevant vs. non-relevant Areas of Interest (AOI) were defined. Conventional statistical techniques (ANCOVA) and data mining techniques (string-edit methods and k-means clustering) were applied. The former only detected differences for the crossword puzzle. However, the latter, with the Uniform Distance model, detected the participants with the most effective scan-path. The use of this technique successfully predicted 64.9% of the variance in learning results. The contribution of this study is to analyze the teaching–learning process with resources that allow a personalized response to each learner, understanding education as a right throughout life from a sustainable perspective.
European Project “Self-Regulated Learning in SmartArt” 2019-1-ES01-KA204-065615 and the Research Funding Program (Funding of dissemination of research results, 2020) of the Vice-Rectorate for Research and Knowledge Transfer of the University of Burgos to the Recognized Investigation Group DATAHES.
2021-11-29T08:57:40Z
2021-11-29T08:57:40Z
2020-03
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
2071-1050
http://hdl.handle.net/10259/6247
10.3390/su12051970
eng
Sustainability. 2020, V. 12, n. 5, 1970
https://doi.org/10.3390/su12051970
info:eu-repo/grantAgreement/EC/Erasmus+/2019-1-ES01-KA204-065615/EU/SELF-REGULATED LEARNING IN SMARTART
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
application/pdf
MDPI
https://riubu.ubu.es/bitstream/10259/6247/4/Saiz-sustainability_2020.pdf.jpg
Hispana
TEXT
http://creativecommons.org/licenses/by/4.0/
RIUBU. Repositorio Institucional de la Universidad de Burgos
http://hdl.handle.net/10259/6247