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Learners’ Motivation Analysis in Serious Games

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Innovations in Smart Cities and Applications (SCAMS 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 37))

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Abstract

Compared to traditional learning, serious games have a huge advantage in promoting learners motivation and positive feelings. Despite advantages and efforts invested by researchers to ensure the continuity of learning through serious games, many studies show that learners are able to abandon the experience in complete freedom, without achieving learning objectives. However, analyzing the motivational factors by maintaining a synergy between motivation and learning is the main key of success. In this paper, we will study in the first place similar works. Then we will present our motivational analysis approach based on a combination of several machine learning algorithms and learning analytics methods. Finally, a detailed discussion with the analysis of our obtained results will conclude the paper.

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Author information

Authors and Affiliations

  1. Computer Science, Systems and Telecommunication Laboratory (LIST), Faculty of Sciences and Technologies, University Abdelmalek Essaadi, Tangier, Morocco

    Othman Bakkali Yedri, Lotfi El Aachak, Amine Belahbib, Hassan Zili & Mohammed Bouhorma

Authors
  1. Othman Bakkali Yedri
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  2. Lotfi El Aachak
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  3. Amine Belahbib
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  4. Hassan Zili
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  5. Mohammed Bouhorma
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Corresponding author

Correspondence to Othman Bakkali Yedri .

Editor information

Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

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Bakkali Yedri, O., El Aachak, L., Belahbib, A., Zili, H., Bouhorma, M. (2018). Learners’ Motivation Analysis in Serious Games. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_65

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  • DOI: https://doi.org/10.1007/978-3-319-74500-8_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74499-5

  • Online ISBN: 978-3-319-74500-8

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