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Developing Educational Serious Games via a Cloud Solution: Identification and implementation of a model that fits Cloud Computing into Educational Games
Högskolan i Skövde, Institutionen för informationsteknologi. University of Salerno.
2022 (engelsk)Independent thesis Advanced level (degree of Master (One Year)), 20 poäng / 30 hpOppgave
Abstract [en]

Cloud computing is a current trend in information technology and has become an important part of many industries. In the educational games field, cloud computing has the potential to revolutionize how educational games are created, delivered, and consumed.This research aims to contribute to a better understanding of how cloud computing can be integrated into the development of educational games and how developers can utilize its powerful tools to create games that are not only more engaging but also more effective in terms of learning outcomes and deployment speed. To address this issue, this thesis investigates the practicalities of integrating cloud computing with educational games using the fundamentals of ”Educational Serious Games as a Service” (ESGaaS) which highlight a set of characteristics that enable the execution of educational games in a cloud environment. This research takes into account the requirements of the ”Happy Heart” game in order to develop and evaluate such a model, as well as to identify an architecture that is compatible with the ESGaaS model and the quality criteria necessary for such an architecture. By applying a design science research method, we developed a prototype that addresses the needs of an ESGaaS-compliant architecture, and we evaluated it by highlighting the sensitivity points, risks, non-risks, and tradeoffs of such an architecture. This research has demonstrated that deploying educational games according to the characteristics of ”Educational Serious Games as a service” can solve some of the challenges of educational game development and lead to faster deployment of the game, improved learning outcomes, and easier assessment of student performance.

sted, utgiver, år, opplag, sider
2022. , s. 70
HSV kategori
Identifikatorer
URN: urn:nbn:se:his:diva-22319OAI: oai:DiVA.org:his-22319DiVA, id: diva2:1742449
Eksternt samarbeid
University of Salerno
Fag / kurs
Informationsteknologi
Veileder
Examiner
Tilgjengelig fra: 2023-03-09 Laget: 2023-03-09 Sist oppdatert: 2025-09-29bibliografisk kontrollert

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