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https://doi.org/10.1016/j.ijhcs.2022.102774


Título: | Evaluating a gamification proposal for learning usability heuristics: Heureka |
Fecha de publicación: | 25-ene-2022 |
Editorial: | Elsevier |
Cita bibliográfica: | Int. J. Human-Computer Studies 161 (2022) 102774 |
ISSN: | 1071-5819 |
Palabras clave: | Usability Nielsen heuristics Gamification Student experiment |
Resumen: | This paper presents the results of an educational experiment conducted to determine whether an automated, card-based gamification strategy has an impact on the learning of Jakob Nielsen’s 10 heuristic usability rules. The participants in the experiment were 55 students enrolled on a human-computer interaction course. According to the results of the experiment and the hypothesis tests performed to compare both traditional and gamified approaches, there were no significant differences (t (53) = 0.66, p = 0.52), although the scores attained by the students who used the gamification strategy were slightly better when evaluated one week later (M = 6.29 and M = 6.57 out of 10, respectively). Moreover, the students’ perceptions reflect that the proposed tool is easy to use (MD = 4.00 out of 5) and useful as regards learning (MD = 4.00 out of 5). Further research is needed to determine whether incorporating other gamification elements, such as rankings, difficulty levels, and game modes, would have a positive impact on student motivation, engagement and performance. |
Autor/es principal/es: | Sobrino-Duque, Raimel Martínez-Rojo, Noelia Carrillo-de-Gea, Juan Manuel López-Jiménez, Juan José Nicolás, Joaquín Fernández-Alemán, José Luis |
Versión del editor: | https://www.sciencedirect.com/science/article/pii/S1071581922000039?via%3Dihub |
URI: | http://hdl.handle.net/10201/149124 |
DOI: | https://doi.org/10.1016/j.ijhcs.2022.102774 |
Tipo de documento: | info:eu-repo/semantics/article |
Número páginas / Extensión: | 15 |
Derechos: | info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
Descripción: | © 2022 The Author(s). This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. This document is The Published version of a Published Work that appeared in final form in International Journal of Human-Computer Studies. To access the final edited and published work see https://doi.org/10.1016/j.ijhcs.2022.102774 |
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