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Academic Tracking Strategy and Motivation in a Virtual Learning Environment Using a Visual Representation of Learning Outcomes

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

The use of technological tools in education has allowed teachers to establish strategies for planning, execution, monitoring and academic feedback with learning styles that have an impact on the performance of a course. The objective of this work is to contribute with a strategy for monitoring and motivating tasks using a gamified leaderboard, under a combined scheme of Kolb’s model and self-regulated learning for the activities developed in the classroom, as a motivational mechanism of student competence. This research work uses a quantitative empirical-analytical methodology with a quasi-experimental approach. The survey technique was used with a random group of students from the Universidad Politécnica Salesiana in the city of Guayaquil, Ecuador, from April to September 2022. Out of a total population of 113 university students, 80% of them participate in the research on a voluntary basis. Ninety-two percent of approved students have benefited from this follow-up model. The set of at-risk students is determined for adequate motivation. 43% of the participants define that a gamified leaderboard allows to be an innovative resource for the empowerment of following actions that improve the learning process during their academic journey in the course. Finally, presenting course information, not only individually but also as a group through a gamified leaderboard, generates a positive motivation to change and improves study commitment by increasing performance from one activity to another.

Idioma originalInglés
Título de la publicación alojadaProceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application
EditoresMarcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas42-53
Número de páginas12
ISBN (versión impresa)9783031709807
DOI
EstadoPublicada - 2024
EventoInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador
Duración: 6 nov. 202310 nov. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen797 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
País/TerritorioEcuador
CiudadAmbato
Período6/11/2310/11/23

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Areas de Conocimiento del CACES

  • 316A Desarrollo y análisis de software y aplicaciones

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