Game Learning Analytics: Blending Visual and Data Mining Techniques to Improve Serious Games and to Better Understand Player Learning
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Beaumont, Alberta, Canada Society for Learning Analytics ResearchDate
2022-12-11Citation
10.18608/jla.2022.7633
Journal of Learning Analytics 9.3 (2022): 32-49
ISSN
1929-7750DOI
10.18608/jla.2022.7633Funded by
This work has been partially funded by the Regional Government of Madrid (eMadrid S2018/TCS4307, co-funded by the European Structural Funds FSE and FEDER) and by the Ministry of Education (PID2020-119620RB-I00).Project
Comunidad de Madrid. S2018/TCS4307; Gobierno de España. PID2020-119620RB-I00Editor's Version
https://doi.org/10.18608/jla.2022.7633Subjects
Serious games; game learning analytics; game-based learning; stealth assessment; visualization; InformáticaEsta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional.
Abstract
Game learning analytics (GLA) comprise the collection, analysis, and visualization of player interactions with serious games. The information gathered from these analytics can help us improve serious games and better understand player actions and strategies, as well as improve player assessment. However, the application of analytics is a complex and costly process that is not yet generalized in serious games. Using a standard data format to collect player interactions is essential: the standardization allows us to simplify and systematize every step in developing tools and processes compatible with multiple games. In this paper, we explore a combination of 1) an exploratory visualization tool that analyzes player interactions in the game and provides an overview of their actions, and 2) an assessment approach, based on the collection of interaction data for player assessment. We describe some of the different opportunities offered by analytics in game-based learning, the relevance of systematizing the process by using standards and game-independent analyses and visualizations, and the different techniques (visualizations, data mining models) that can be applied to yield meaningful information to better understand learners’ actions and results in serious games.
Files in this item
Google Scholar:Alonso Fernández, Cristina
-
Calvo Morata, Antonio
-
Freire, Manuel R.
-
Martínez Ortiz, Iván
-
Fernández-Manjón, Baltasar
This item appears in the following Collection(s)
Related items
Showing items related by title, author, creator and subject.
-
Non-inferiority of dose reduction versus standard dosing of TNF-inhibitors in axial spondyloarthritis 11 Medical and Health Sciences 1117 Public Health and Health Services 11 Medical and Health Sciences 1103 Clinical Sciences
Gratacós, Jordi; Pontes, Caridad; Juanola, Xavier; Sanz, Jesús; Torres, Ferran; Avendaño Solá, Cristina; Vallano, Antoni; Calvo, Gonzalo; De Miguel, Eugenio; Sanmartí, Raimon; Almirall, Miriam; Aparicio, Maria; Sellas, Agustí; Vives, Roser; Albiñana, Nestor; Moreno, Mireia; Clavaguera, Teresa; Torre-Alonso, Juan Carlos; Veroz, Raúl; Rodríguez-Lozano, Carlos; Linares, Luís Francisco; Urruticoechea, Ana; Collantes, Eduardo; Morlà, Rosa María; Reina, Dèlia; Cuende, Eduardo; Zarco, Pedro; Fernández-Espartero, Maria Cruz; García de Vicuña Pinedo, María del Rosario; Montilla, Carlos Alberto; Villalba, Alejandro; Pascual, Dora; Campos, Cristina; Juan, Antonio; Ariza, Rafael; Díaz-Miguel, Consuelo; Maqueda, Manuel; Fernández-Dapica, Maria Pilar; Fernández-Prada, Manuel; Batlle, Enrique; González-Fernández, Carlos; Queiro, Rubén
2019-01-08 -
Consensus on paediatric enteral nutrition access: A document approved by SENPE/SEGHNP/AECIPN/SECP
Pedrón, Consuelo; Martínez-Costa, Cecilia; Navas-López, Víctor Manuel; Gómez-López, Lilianne; Redecillas-Ferrero, S.; Moreno Villarés, José Manuel; Benlloch-Sánchez, C.; Blasco-Alonso, Javier; García-Alcolea, B.; Gómez-Fernández, B.; Ladero-Morales, M.; Moráis López, Ana B.; Rosell-Camps, Antonio; Ashbaugh Enguídanos, R. A.; Barco Gálvez, A.; Bautista-Casasnovas, Adolfo L.; Díaz Martín, Juan José; Frías Soriano, L.; García Molina, Pablo; Gutiérrez Junquera, Carolina; Juste Ruiz, M.; Lama More, Rosa Angélica; Marugán de Miguelsanz, J. M.; Ollero Fresno, J. C.; Poveda Jovellar, O.; Sierra Salinas, Carlos; Unda Freire, A.
2011-03-28