Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool

In this paper, we present the results of a case study conducted to validate the effectiveness of our gamification analytics model for teachers proposed in [20]. To conduct this case study, we developed a tool to monitor and adapt gamification designs in gamified adaptive educational systems. Employi...

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Detalles Bibliográficos
Autores principales: Tenório, Kamilla, Chalco Challco, Geiser, Dermeval, Diego, Lemos, Bruno, Nascimento, Pedro, Santos, Rodrigo, Pedro da Silva, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334680/
http://dx.doi.org/10.1007/978-3-030-52240-7_57
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author Tenório, Kamilla
Chalco Challco, Geiser
Dermeval, Diego
Lemos, Bruno
Nascimento, Pedro
Santos, Rodrigo
Pedro da Silva, Alan
author_facet Tenório, Kamilla
Chalco Challco, Geiser
Dermeval, Diego
Lemos, Bruno
Nascimento, Pedro
Santos, Rodrigo
Pedro da Silva, Alan
author_sort Tenório, Kamilla
collection PubMed
description In this paper, we present the results of a case study conducted to validate the effectiveness of our gamification analytics model for teachers proposed in [20]. To conduct this case study, we developed a tool to monitor and adapt gamification designs in gamified adaptive educational systems. Employing this tool, the case study was conducted in a real situation, and the findings suggest that the use of our model and tool improves students’ engagement, learning outcomes, and motivation.
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spelling pubmed-73346802020-07-06 Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool Tenório, Kamilla Chalco Challco, Geiser Dermeval, Diego Lemos, Bruno Nascimento, Pedro Santos, Rodrigo Pedro da Silva, Alan Artificial Intelligence in Education Article In this paper, we present the results of a case study conducted to validate the effectiveness of our gamification analytics model for teachers proposed in [20]. To conduct this case study, we developed a tool to monitor and adapt gamification designs in gamified adaptive educational systems. Employing this tool, the case study was conducted in a real situation, and the findings suggest that the use of our model and tool improves students’ engagement, learning outcomes, and motivation. 2020-06-10 /pmc/articles/PMC7334680/ http://dx.doi.org/10.1007/978-3-030-52240-7_57 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Tenório, Kamilla
Chalco Challco, Geiser
Dermeval, Diego
Lemos, Bruno
Nascimento, Pedro
Santos, Rodrigo
Pedro da Silva, Alan
Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool
title Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool
title_full Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool
title_fullStr Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool
title_full_unstemmed Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool
title_short Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool
title_sort helping teachers assist their students in gamified adaptive educational systems: towards a gamification analytics tool
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334680/
http://dx.doi.org/10.1007/978-3-030-52240-7_57
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