Modeling students' flow experience through data logs in gamified educational systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU144223" target="_blank" >RIV/00216305:26230/21:PU144223 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/12700/" target="_blank" >https://www.fit.vut.cz/research/publication/12700/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICALT52272.2021.00037" target="_blank" >10.1109/ICALT52272.2021.00037</a>
Alternative languages
Result language
angličtina
Original language name
Modeling students' flow experience through data logs in gamified educational systems
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021
ISBN
978-1-6654-4106-3
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
97-101
Publisher name
IEEE Communications Society
Place of publication
online
Event location
United States
Event date
Jul 12, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000719352000031