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Natural Language to Facilitate the Analysis of Statistical Evaluation of Educational Digital Games

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Information and Communication Technologies (TICEC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1456))

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Abstract

The application of educational digital games (EDG) requires multiple perspectives for an optimal adaptation. This study shows how relevant feedback is presented in simple outcome reports of EDG-based learning for teachers and parents in Natural Language (NL). NL as a Machine Learning process also can represent quantitative data sets in consumable Spanish language statements. The objective is to improve outcomes of EDG platforms using a cloud-based dashboard used to evaluate student EDG application behavioral efficiency. A novel tool is proposed to provide simple language explanations rather than statistical representations of feedback to parents and teachers in marginal areas of developing economies. With fuzzy logic, the researchers present verbatim explanations of student behavior towards educational EDG. Results reveal comprehensive, simple, or colloquial Spanish language information for parents and teachers to provide improved evaluation keys to enhance student learning via EDG related to the school curricula.

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Notes

  1. 1.

    http://midi.espol.edu.ec/.

  2. 2.

    http://midi.espol.edu.ec/descargaproductos/.

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Acknowledgements

We wished to acknowledge ESPOL University for sponsoring the continuity of this research and publications. Particularly, we recognize the contribution of the group of researchers, academics, and students from the Art, Design, and Audiovisual Communication Faculty (FADCOM), the Electrical and Computer Engineering Faculty (FIEC), and the ESPOL Society Link Unit (UVS). Our Special thanks to Stalyn Gonzabay and Boris Vintimilla for their contribution to the technical bases of this work.

Author information

Authors and Affiliations

  1. Escuela Superior Politécnica del Litoral, ESPOL – FADCOM, Guayaquil, Ecuador

    Nayeth Solórzano Alcívar

  2. Escuela Superior Politécnica del Litoral, ESPOL – FIEC, Guayaquil, Ecuador

    Robert Zambrano Loor

  3. UPM Universidad Politécnica de Madrid, UPM, Madrid, España

    Diego Carrera Gallego

Authors
  1. Nayeth Solórzano Alcívar
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  2. Robert Zambrano Loor
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  3. Diego Carrera Gallego
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Corresponding author

Correspondence to Nayeth Solórzano Alcívar .

Editor information

Editors and Affiliations

  1. Politecnica Salesiana University, Cuenca, Ecuador

    Juan Pablo Salgado Guerrero

  2. Universidad Técnica Particular de Loja, Loja, Ecuador

    Janneth Chicaiza Espinosa

  3. Politecnica Salesiana University, Cuenca, Ecuador

    Mariela Cerrada Lozada

  4. CEDIA, Cuenca, Ecuador

    Santiago Berrezueta-Guzman

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Solórzano Alcívar, N., Zambrano Loor, R., Carrera Gallego, D. (2021). Natural Language to Facilitate the Analysis of Statistical Evaluation of Educational Digital Games. In: Salgado Guerrero, J.P., Chicaiza Espinosa, J., Cerrada Lozada, M., Berrezueta-Guzman, S. (eds) Information and Communication Technologies. TICEC 2021. Communications in Computer and Information Science, vol 1456. Springer, Cham. https://doi.org/10.1007/978-3-030-89941-7_10

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  • DOI: https://doi.org/10.1007/978-3-030-89941-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89940-0

  • Online ISBN: 978-3-030-89941-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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