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OLIVEIRA, W. TENORIO, K. HAMARI, J. PASTUSHENKO, O. ISOTANI, S.
Originální název
Predicting students' flow experience through behavior data in gamified educational systems
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Students flow experience, Educational systems, Gamified education, Behavior data, Data-driven study
Autoři
OLIVEIRA, W.; TENORIO, K.; HAMARI, J.; PASTUSHENKO, O.; ISOTANI, S.
Vydáno
1. 12. 2021
ISSN
2196-7091
Periodikum
Smart Learning Environments
Ročník
8
Číslo
1
Stát
Singapurská republika
Strany od
Strany do
18
Strany počet
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/" }