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Manuel Freire MoránAuthorIván Martínez OrtizAuthor

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Game Learning Analytics, Facilitating the Use of Serious Games in the Class

Publicated to:Revista Iberoamericana de Tecnologias del Aprendizaje. 14 (4): 168-176 - 2019-11-01 14(4), DOI: 10.1109/RITA.2019.2952296

Authors: Antonio Calvo - Morata; Cristina Alonso - Fernández; Manuel Freire Morán; Iván Martínez Ortiz; Baltasar Fernández Manjón

Affiliations

Univ Complutense Madrid, Dept Software Engn & Artificial Intelligence, Madrid 28040, Spain - Author
Universidad Complutense de Madrid - Author

Abstract

Los juegos serios aún son complejos de implementar en las aulas para maestros promedio. Game Learning Analytics puede ayudar a los maestros a aplicar juegos serios, utilizando datos de las interacciones de los estudiantes en el juego para proporcionar información de aprendizaje. Muchos maestros no ven los juegos como herramientas para mejorar sus clases, particularmente debido a la pérdida de control percibida cuando los usan; Por lo tanto, es esencial conservar sus beneficios mientras se evita la mayor parte de la complejidad de la implementación. En este documento, describimos nuestra experiencia usando Game Learning Analytics para fomentar la aplicación y el despliegue de Serious Games en clase como herramientas de aprendizaje.

Keywords

Educational data miningGame-based learningLearning analyticsSerious gamesStealth assessment

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Revista Iberoamericana de Tecnologias del Aprendizaje due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2019, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Engineering (Miscellaneous).

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 2.42, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-29, the following number of citations:

  • WoS: 5
  • Scopus: 11

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-29:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 86 (PlumX).