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

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Yayın Adı
(dc.title)
Estimating Engagement in Gamified Activities
Yazar/lar
(dc.contributor.yazarlar)
Rita Ismailova, Christo Dichev, Darina Dicheva
Yayın Türü
(dc.type)
Konferans Bildirisi
Dil
(dc.language)
İngilizce
Yayımlanma Yılı
(dc.date.issued)
2022
Ulusal/Uluslararası
(dc.identifier.ulusaluluslararasi)
Uluslararası
Kaynak
(dc.relation.journal)
IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)
Kaynak Adı Ek Bilgi / Konferans Bilgisi
(dc.identifier.kaynakadiekbilgi)
2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), 04-07 December 2022, Hung Hom, Hong Kong
Sayfa
(dc.identifier.startpage)
447-452
ISSN/ISBN
(dc.identifier.issn)
ISBN: 978-1-6654-9117-4
Yayıncı
(dc.publisher)
IEEE Xplore Digital Librar, USA
Veri Tabanları
(dc.contributor.veritaban)
IEEE Xplore
Veri Tabanları
(dc.contributor.veritaban)
Scopus
İndex Türü
(dc.identifier.index)
Scopus
Özet
(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.
Özet
(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
Fakültesi / Enstitütü
(dc.identifier.fakulte)
Mühendislik Fakültesi
Bölümü
(dc.identifier.bolum)
Bilgisayar Mühendisliği Bölümü
Kurumdaki Yazar/lar
(dc.contributor.author)
Rita İSMAİLOVA
Kayıt No
(dc.identifier.kayitno)
BL9DC17EFC
Kayıt Giriş Tarihi
(dc.date.available)
2023-07-18
Not (Yayımlanma Yılı)
(dc.identifier.notyayinyili)
2022
Konu Başlıkları
(dc.subject)
gamification
Konu Başlıkları
(dc.subject)
gamified learning
Konu Başlıkları
(dc.subject)
motivation
Konu Başlıkları
(dc.subject)
motivational scales
Analizler
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