Publication Details

Modeling students' flow experience through data logs in gamified educational systems

OLIVEIRA, W.; ISOTANI, S.; PASTUSHENKO, O.; HAMARI, J.; HRUŠKA, T. Modeling students' flow experience through data logs in gamified educational systems. In Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021. online: IEEE Communications Society, 2021. p. 97-101. ISBN: 978-1-6654-4106-3.
Czech title
Modelování zkušeností studentů s tokem prostřednictvím datových protokolů v gamifikovaných vzdělávacích systémech
Type
conference paper
Language
English
Authors
OLIVEIRA, W.
Isotani Seiji
Pastushenko Olena, Ing. (DIFS)
Hamari Juho
Hruška Tomáš, prof. Ing., CSc. (DIFS)
Keywords

Flow experience; Flow Theory; Gamified educational systems; Students'experience;
User modeling

Abstract

User modeling in gamified educational systems is a contemporary challenge. In
particular, modeling the students' flow experience (i.e., challenge-skill
balance, action-awareness merging, clear goals, unambiguous feedback, total
concentration on the task at hand, sense of control, loss of self-consciousness,
transformation of time, and autotelic experience) during a gamified system usage
is highly challenging. It is because measurement' instruments usually are
invasive, removing the users from the flow experience and/or cannot be applied
massively (e.g., participant observation, questionnaires or
electroencephalogram). We faced this challenge by conducting a data-driven study
(N = 23), where we used a robust statistical method (i.e., partial least squares
path modeling) to model the students' flow experience, based on their interaction
data (e.g., number of mouse clicks) in a gamified educational system. The main
results indicate a relationship between the interaction logs and four flow
experience dimensions. Our finds contribute to the area of gamified educational
systems, through the students' flow experience modeling. Finally, based on our
results, we also provided a series of recommendations for future studies.

Published
2021
Pages
97–101
Proceedings
Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021
Conference
IEEE 21ST INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2021), United States, US
ISBN
978-1-6654-4106-3
Publisher
IEEE Communications Society
Place
online
DOI
UT WoS
000719352000031
EID Scopus
BibTeX
@inproceedings{BUT177492,
  author="OLIVEIRA, W. and ISOTANI, S. and PASTUSHENKO, O. and HAMARI, J. and HRUŠKA, T.",
  title="Modeling students' flow experience through data logs in gamified educational systems",
  booktitle="Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021",
  year="2021",
  pages="97--101",
  publisher="IEEE Communications Society",
  address="online",
  doi="10.1109/ICALT52272.2021.00037",
  isbn="978-1-6654-4106-3",
  url="https://www.fit.vut.cz/research/publication/12700/"
}
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