Resumen

ZAMBON, Antonio Carlos; FUJIMOTO, Enzo Juniti  y  GOMES, Higor Augusto. Learning Styles: proposal for a semiautomatic support questionnaire for self-regulated learning. RISTI [online]. 2021, n.42, pp.136-151.  Epub 30-Jun-2021. ISSN 1646-9895.  https://doi.org/10.17013/risti.42.136-151.

This work describes the development of a semiautomatic electronic questionnaire, based on the Learning Styles Analysis Process algorithm using Extended Concept Maps. Its implementation will represent an alternative for the dynamic analysis of Learning Styles and the training of students to produce their self-assessment and also self-regulated learning. We use Google Spreadsheets for develop the questionnaire and for the storing data, and CmapTools for visualization. The preliminary results, demonstrated in the concept case, confirm that the questionnaire is able to reveal and adequately represent the Learning Styles. Therefore, it is intended that in the next phase of this research, an wide application of the questionnaire will be carried out, with the objective of identifying the accuracy of the Learning Styles identifying process, and the development of a report to guide the student in his learning strategies.

Palabras clave : Learning Styles; Extended Concept Maps; Self-Regulated Learning; Self-efficacy; Autodidactism.

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