Implicit modeling of learners’ personalities in a game-based learning environment using their gaming behaviors

被引:8
作者
Mouna Denden
Ahmed Tlili
Fathi Essalmi
Mohamed Jemni
机构
[1] University of TUNIS,Research Laboratory of Technologies of Information and Communication & Electrical Engineering (LaTICE), Tunis Higher School of Engineering (ENSIT)
关键词
Personality; Learner modeling; Learning analytics; Game-based learning; Gaming behaviors; Data analysis;
D O I
10.1186/s40561-018-0078-6
中图分类号
学科分类号
摘要
While the most used method to model the learner’s personality is the self-report using questionnaires, this study presents and validates a newly developed framework for implicitly modeling the learners’ personalities within a game-based learning environment using their gaming behaviors. This framework is based on an online role-playing game for teaching the computer architecture subject and a learning analytics system. To evaluate the efficiency of the proposed framework, an experiment was conducted with forty four participants (34 learners and 11 teachers) in a Tunisian University. The obtained results showed that this framework has a high accuracy level in correctly modeling both the extraversion and openness personality dimensions. In addition, these results highlighted a “good” and “moderate” agreement degree in modeling the extraversion and openness personality dimensions respectively compared to the Big Five Inventory (BFI). The findings of this study can advance research in game-based learning and educational psychology by developing environments which can be used for both learning and modeling learners’ personalities instead of using questionnaires.
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