#The flow experience graph psychology how to
With this initial study, we advance the literature, especially contributing to the field of student experience analysis, by bringing insights showing how to step towards automatic students’ flow experience identification in gamified educational systems.įlow experience, according to the Flow Theory (Csikszentmihalyi & Csikszentmihalyi, 1975), refers to an optimal experience felt by people while performing an activity as a result of total involvement in the task (Csikszentmihalyi & Csikszentmihalyi, 1975, 1988 Csikszentmihalyi, 1997a). Through a data-driven study (N = 23) using structural equation modeling, we identified possibilities to predict the students’ flow experience through the speed of students’ actions. To address this challenge, we used behavior data logs produced by students during the use of a gamified educational system to predict the students’ flow experience. The main problem with these methods is the high cost of the equipment and the impossibility of applying them massively. The methods currently used to identify students’ flow experience are based on self-reports or equipment ( e.g., eye trackers or electroencephalograms). One of the current challenges is to identify whether students are managing to achieve this experience in educational systems. The flow experience ( i.e., challenge-skill balance, action-awareness merging, clear goals, unambiguous feedback, concentration, sense of control, loss of self-consciousness, transformation of time, and autotelic experience) is an experience highly related to the learning experience.
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