Estimating Engagement in Gamified Activities

The premise behind gamified learning systems is that they improve students’ motivation. However, there is still a scarcity of studies on examining motivational sources that may drive targeted motivation and engagement in gamified learning activities. Improving our understanding of this aspect requires a multi-faceted approach that allows both identifying relevant motivators and assessing their significance. We address this gap by employing three well-recognized theoretical frameworks: Self-determination theory, Expectancy Value theory and Big 5 Personality theory in experimental research aimed to shed new light on the driving forces behind students’ engagement in gamified activities. Accordingly, in this paper we present the results of an empirical study aimed at obtaining evidence on the potential of utilizing these frameworks for predicting learners’ engagement in certain categories of gamified learning activities. A specific objective is to determine which of the three scales yields the highest predictive outcomes with regard to students’ engagement in gamified practicing. The initial results of the study demonstrate empirically that the EVC scale yields the best predictive ability compared to other scales. It also shows the value of using multiple scales for identifying significant sources influencing the engagement in gamified activities.

Keyword: gamification; gamified learning; motivation; motivational scales

Views
24
18.07.2023 since the date of
Downloaded
1
18.07.2023 since the date of
Last Access Date
28 Mayıs 2024 11:38
Google Check
Click
Full text
Detailed View
Publication Name
(dc.title)
Estimating Engagement in Gamified Activities
Author/s
(dc.contributor.yazarlar)
Rita Ismailova, Christo Dichev, Darina Dicheva
Publication type
(dc.type)
Konferans Bildirisi
Language
(dc.language)
İngilizce
Publication year
(dc.date.issued)
2022
National/International
(dc.identifier.ulusaluluslararasi)
Uluslararası
Source
(dc.relation.journal)
IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)
Additional source name / Conference information
(dc.identifier.kaynakadiekbilgi)
2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), 04-07 December 2022, Hung Hom, Hong Kong
Page
(dc.identifier.startpage)
447-452
ISSN/ISBN
(dc.identifier.issn)
ISBN: 978-1-6654-9117-4
Publisher
(dc.publisher)
IEEE Xplore Digital Librar, USA
Databases
(dc.contributor.veritaban)
IEEE Xplore
Databases
(dc.contributor.veritaban)
Scopus
Index Type
(dc.identifier.index)
Scopus
Abstract
(dc.description.abstract)
The premise behind gamified learning systems is that they improve students’ motivation. However, there is still a scarcity of studies on examining motivational sources that may drive targeted motivation and engagement in gamified learning activities. Improving our understanding of this aspect requires a multi-faceted approach that allows both identifying relevant motivators and assessing their significance. We address this gap by employing three well-recognized theoretical frameworks: Self-determination theory, Expectancy Value theory and Big 5 Personality theory in experimental research aimed to shed new light on the driving forces behind students’ engagement in gamified activities. Accordingly, in this paper we present the results of an empirical study aimed at obtaining evidence on the potential of utilizing these frameworks for predicting learners’ engagement in certain categories of gamified learning activities. A specific objective is to determine which of the three scales yields the highest predictive outcomes with regard to students’ engagement in gamified practicing. The initial results of the study demonstrate empirically that the EVC scale yields the best predictive ability compared to other scales. It also shows the value of using multiple scales for identifying significant sources influencing the engagement in gamified activities.
Abstract
(dc.description.abstract)
Keyword: gamification; gamified learning; motivation; motivational scales
URL
(dc.rights)
https://ieeexplore.ieee.org/document/10148391
DOI
(dc.identifier.doi)
10.1109/TALE54877.2022.00079
Faculty / Institute
(dc.identifier.fakulte)
Mühendislik Fakültesi
Department
(dc.identifier.bolum)
Bilgisayar Mühendisliği Bölümü
Author(s) in the Institution
(dc.contributor.author)
Rita İSMAİLOVA
Kayıt No
(dc.identifier.kayitno)
BL9DC17EFC
Record Add Date
(dc.date.available)
2023-07-18
Notes (Publication year)
(dc.identifier.notyayinyili)
2022
Subject Headings
(dc.subject)
gamification
Subject Headings
(dc.subject)
gamified learning
Subject Headings
(dc.subject)
motivation
Subject Headings
(dc.subject)
motivational scales
Analyzes
Publication View
Publication View
Accessed countries
Accessed cities
Our obligations and policy regarding cookies are subject to the TR Law on the Protection of Personal Data No. 6698.
OK

creativecommons
Bu site altında yer alan tüm kaynaklar Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.
Platforms