A Methodology for Multimodal Learning Analytics and Flow Experience Identification within Gamified Assignments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138860" target="_blank" >RIV/00216305:26230/20:PU138860 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/12184/" target="_blank" >https://www.fit.vut.cz/research/publication/12184/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3334480.3383060" target="_blank" >10.1145/3334480.3383060</a>
Alternative languages
Result language
angličtina
Original language name
A Methodology for Multimodal Learning Analytics and Flow Experience Identification within Gamified Assignments
Original language description
Much research has sought to provide a flow experience for students in gamified educational systems to increase motivation and engagement. However, there is still a lack of quantitative research for evaluating the influence of the flow state on learning outcomes. One of the issues related to flow experience identification is that used techniques are often invasive or not suitable for massive applications. The current paper suggests a way to deal with this challenge. We describe a methodology based on multimodal learning analytics, aimed to provide automatic students flow experience identification in the gamified assignments and measuring its influence on the learning outcomes. The application of the developed methodology showed that there are correlations between learning outcomes and flow state, but they depend on the initial level of the user. This finding suggests adding dynamic difficulty adjustment to the gamified assignment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
ISBN
978-1-4503-6819-3
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
1-9
Publisher name
Association for Computing Machinery
Place of publication
Honolulu
Event location
Honolulu
Event date
Apr 25, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000626317803089