Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
OLIVEIRA, W.
Isotani Seiji
Pastushenko Olena, Ing.
Hamari Juho
Hruška Tomáš, prof. Ing., CSc., UIFS (FIT)
Abstrakt

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.

Klíčová slova

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

Rok
2021
Strany
97–101
Sborník
Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021
Konference
IEEE 21ST INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2021)
ISBN
978-1-6654-4106-3
Vydavatel
IEEE Communications Society
Místo
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/"
}
Soubory
Projekty
Metody AI pro zabezpečení kybernetického prostoru a řídicí systémy, VUT, Vnitřní projekty VUT, FIT-S-20-6293, zahájení: 2020-03-01, ukončení: 2023-02-28, ukončen
Pracoviště
Nahoru