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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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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