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Publication result detail
PASTUSHENKO, O.
Original Title
Gamification in Assignments: Using Dynamic Difficulty Adjustment and Learning Analytics to Enhance Education
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
This paper discusses the opportunities for gamification and dynamic difficulty adjustment based on multimodal learning analytics in assignments. Altogether this covers a broader term of personalized education, which is getting more attention among the researchers in recent years. The difference of this work from other similar researches is that it suggests combining several domains to achieve better results: gamification (in order to improve student's motivation and involvements), and dynamic difficulty adjustment. All this is made possible by applying multimodal learning analytics and creating useful learning dashboards for the teachers.
English abstract
Keywords
gamification; dynamic difficulty adjustment; personalized learning; multimodal learning analytics
Key words in English
Authors
RIV year
2020
Released
03.09.2019
Publisher
Association for Computing Machinery
Location
Barcelona
ISBN
978-3-319-77711-5
Book
Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion
Edition
Extended Abstracts
Pages from
47
Pages to
53
Pages count
7
URL
https://www.fit.vut.cz/research/publication/12063/
BibTex
@inproceedings{BUT161461, author="Olena {Pastushenko}", title="Gamification in Assignments: Using Dynamic Difficulty Adjustment and Learning Analytics to Enhance Education", booktitle="Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion", year="2019", series="Extended Abstracts", pages="47--53", publisher="Association for Computing Machinery", address="Barcelona", doi="10.1145/3341215.3356335", isbn="978-3-319-77711-5", url="https://www.fit.vut.cz/research/publication/12063/" }
Documents
CHI2019_doctoral_consortium