M. Vandewaetere, P. Desmet, and G. Clarebout, The contribution of learner characteristics in the development of computer-based adaptive learning environments, Computers in Human Behavior, vol.27, issue.1, 2011.

V. Naik and V. Kamat, Adaptive and Gamified Learning Environment (AGLE), 2015 IEEE Seventh International Conference on Technology for Education (T4E), pp.7-14, 2015.

V. Aleven, E. A. Mclaughlin, R. A. Glenn, and K. R. Koedinger, d.). Instruction based on adaptive learning technologies. Handbook of research on learning and instruction

R. C. Atkinson, Optimizing the learning of a second-language vocabulary, Journal of Experimental Psychology, vol.96, issue.1, pp.124-129, 1972.

J. R. Anderson, A. T. Corbett, K. R. Koedinger, and R. Pelletier, Cognitive tutors: Lessons learned, The Journal of the Learning Sciences, vol.4, issue.2, pp.167-207, 1995.
URL : https://hal.archives-ouvertes.fr/hal-00699789

V. Luengo and D. Mufti-alchawafa, Target the controls during the problem solving activity, a process to produce adapted epistemic feedbacks in ill-defined domains. The case of a TEL system for orthopaedic surgery, Workshop on Formative Feedback in Interactive Learning Environments, in conjunction with AIED, 2013.

J. Melero, N. El-kechai, A. Yessad, and J. M. Labat, Adapting Learning Paths in Serious Games: An Approach Based on Teachers' Requirements, International Conference on Computer, pp.376-394, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01303795

T. Augustin, C. Hockemeyer, M. D. Kickmeier-rust, P. Podbregar, R. Suck et al., The simplified updating rule in the formalization of digital educational games, Journal of Computational Science, vol.4, issue.4, pp.293-303, 2013.

C. A. Walkington, Using adaptive learning technologies to personalize instruction to student interests: The impact of relevant contexts on performance and learning outcomes, Journal of Educational Psychology, vol.105, issue.4, p.932, 2013.

J. M. Harley, C. K. Carter, N. Papaionnou, F. Bouchet, R. S. Landis et al., Examining the predictive relationship between personality and emotion traits and students' agent-directed emotions: towards emotionally-adaptive agentbased learning environments, User Modeling and User-Adapted Interaction, vol.26, issue.2-3, pp.177-219, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01340595

M. Taub, R. Azevedo, F. Bouchet, and B. Khosravifar, Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners' levels of prior knowledge in hypermedia-learning environments?, Computers in Human Behavior, vol.39, pp.356-367, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01174794

F. Mampadi, S. Y. Chen, G. Ghinea, and M. Chen, Design of adaptive hypermedia learning systems: A cognitive style approach, Computers & Education, vol.56, issue.4, 2011.

N. Bousbia, J. M. Labat, A. Balla, and I. Rebai, Supervised classification on navigational behaviours in web-based learning systems to identify learning styles, International Journal of Learning Technology, vol.6, issue.1, pp.24-45, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01174494

S. Natkin, C. Yan, S. Jumpertz, and B. Market, Creating Multiplayer Ubiquitous Games Using an Adaptive Narration Model Based on a User's Model, Digital Games Research Association International Conference, 2007.

B. Monterrat, M. Desmarais, E. Lavoué, and S. George, A player model for adaptive gamification in learning environments, International Conference on Artificial Intelligence in Education, pp.297-306, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01165497

L. E. Nacke, C. Bateman, and R. L. Mandryk, BrainHex: Preliminary Results from a Neurobiological Gamer Typology Survey, ICEC, pp.288-293, 2011.

M. Heilman, K. Collins-thompson, J. Callan, M. Eskenazi, A. Juffs et al., Personalization of reading passages improves vocabulary acquisition, International Journal of Artificial Intelligence in Education, vol.20, issue.1, pp.73-98, 2010.

M. Yarandi, H. Jahankhani, and A. H. Tawil, Towards Adaptive E-Learning using Decision Support Systems, International Journal of Emerging Technologies in Learning (iJET), vol.8, issue.S1, 2013.

R. C. Murray, K. Vanlehn, and J. Mostow, Looking ahead to select tutorial actions: A decision-theoretic approach, International Journal of Artificial Intelligence in Education, vol.14, issue.3, pp.235-278, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00197308

S. Göbel, V. Wendel, C. Ritter, and R. Steinmetz, Personalized, adaptive digital educational games using narrative game-based learning objects, 5th International Conference on E-learning and Games, pp.438-445, 2010.

T. Barnes, The q-matrix method: Mining student response data for knowledge, American Association for Artificial Intelligence 2005 Educational Data Mining Workshop, 2005.

M. C. Desmarais and R. Naceur, A Matrix Factorization Method for Mapping Items to Skills and for Enhancing Expert-Based Q-Matrices, International Conference on Artificial Intelligence in Education, pp.441-450, 2013.

R. R. Mccrae and P. T. Costa, Validation of the five-factor model of personality across instruments and observers, Journal of personality and social psychology, vol.52, issue.1, p.81, 1987.

M. Busch, E. Mattheiss, R. Orji, P. Fröhlich, M. Lankes et al., Player Type Models: Towards Empirical Validation, Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp.1835-1841, 2016.

J. Pearl, Probabilistic Reasoning in Expert Systems: Networks of Plausible Inference, 1988.