Publication Details
Predicting students' flow experience through behavior data in gamified educational systems
Students flow experience, Educational systems, Gamified education, Behavior data,
Data-driven study
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. One of the current
challenges is to identify whether students are managing to achieve this
experience in educational systems. The methods currently used to identify
students flow experience are based on self-reports or equipment (e.g., eye
trackers or electroencephalograms). The main problem with these methods is the
high cost of the equipment and the impossibility of applying them massively. 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.
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. 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.
@article{BUT178152,
author="OLIVEIRA, W. and TENORIO, K. and HAMARI, J. and PASTUSHENKO, O. and ISOTANI, S.",
title="Predicting students' flow experience through behavior data in gamified educational systems",
journal="Smart Learning Environments",
year="2021",
volume="8",
number="1",
pages="1--18",
doi="10.1186/s40561-021-00175-6",
issn="2196-7091",
url="https://www.fit.vut.cz/research/publication/12735/"
}