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OLIVEIRA, W. TENORIO, K. HAMARI, J. PASTUSHENKO, O. ISOTANI, S.
Original Title
Predicting students' flow experience through behavior data in gamified educational systems
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
Students flow experience, Educational systems, Gamified education, Behavior data, Data-driven study
Authors
OLIVEIRA, W.; TENORIO, K.; HAMARI, J.; PASTUSHENKO, O.; ISOTANI, S.
Released
1. 12. 2021
ISBN
2196-7091
Periodical
Smart Learning Environments
Year of study
8
Number
1
State
Republic of Singapore
Pages from
Pages to
18
Pages count
URL
https://www.fit.vut.cz/research/publication/12735/
BibTex
@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/" }
Documents
s40561-021-00175-6.pdf