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MEEGA+, Systematic Model to Evaluate Educational Games

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Encyclopedia of Computer Graphics and Games

Synonyms

Educational game; Evaluation model; Measurement instrument; MEEGA+; Serious game

Definitions

MEEGA+ is a systematic model to analyze educational games (digital and nondigital ones) in order to evaluate their perceived quality from the students’ perspective in the context of computing education (Petri et al. 2016, 2017a).

Introduction

In the last years, games have also been used for different purposes than entertainment, being more and more used in educational contexts (Abt 2002; Connolly et al. 2012; Battistella and Gresse von Wangenheim 2016). Educational games are supposed to be an effective and efficient instructional strategy for teaching and learning in diverse knowledge areas such as mathematics, health, computing, and nutrition (Connolly et al. 2012; Calderón and Ruiz 2015). Especially in computing education, there is a vast variety of educational games to teach computing competencies mainly in higher education (Battistella and Gresse von Wangenheim 2016). The majority...

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Author information

Authors and Affiliations

  1. Federal University of Santa Maria (UFSM), Santa Maria, RS, Brazil

    Giani Petri

  2. Department of Informatics and Statistics (INE), Federal University of Santa Catarina (UFSC), Florianópolis, SC, Brazil

    Giani Petri, Christiane Gresse von Wangenheim & Adriano Ferreti Borgatto

Authors
  1. Giani Petri
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  2. Christiane Gresse von Wangenheim
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  3. Adriano Ferreti Borgatto
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Corresponding author

Correspondence to Giani Petri .

Editor information

Editors and Affiliations

  1. Newton Lee Laboratories, LLC, Tujunga, California, USA

    Newton Lee

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Petri, G., Gresse von Wangenheim, C., Borgatto, A.F. (2018). MEEGA+, Systematic Model to Evaluate Educational Games. In: Lee, N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_214-1

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  • DOI: https://doi.org/10.1007/978-3-319-08234-9_214-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08234-9

  • Online ISBN: 978-3-319-08234-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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