A Strategy of Learning Computational Thinking through Game Based in Virtual Reality: Systematic Review and Conceptual Framework

Sukirman Sukirman,Laili Farhana Md Ibharim,Budi Murtiyasa,Che Soh Said

doi:10.15388/infedu.2022.07

Abstract

Research trends on computational thinking (CT) and its learning strategies are showing an increase. The strategies are varying, for example is using games to provide enjoyment, engagement, and experience. To improve the high level of immersion and presence of game objects, learning strategies through games can be improved by virtual reality (VR) technology and its application. However, a systematic review that specifically discusses game based in VR (GBiVR) settings is lacking. This paper reports previous studies systematically about the strategies used to learn CT through games and VR applications. 15 papers were selected through Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. As the result, this study proposes a conceptual framework for designing a strategy to learn CT through GBiVR settings. The framework consists of critical aspects of variables that can be considered in the learning environment like game elements, VR features, and CT skills. All the aspects are discussed below.

Highlights

Research trends on computational thinking (CT) are showing an increase in recent decades (Ilic et al, 2018; Tang et al, 2020)
The articles were published by reputable publishers such as the Institute of Electrical and Electronics Engineers (IEEE), Association for Computing Machinery (ACM), Springer International Publishing, Routledge - Taylor & Francis, and John Wiley & Sons, Ltd
The number of publications is showing an increase, which means that the trend about the strategy of learning CT and its related through game based in virtual reality (VR) settings is positively growing over the year

Summary

Introduction

Research trends on computational thinking (CT) are showing an increase in recent decades (Ilic et al, 2018; Tang et al, 2020). They added that programming and CT is described as thought processes involved in formulating problems and their solutions that are represented in an effective form to be carried out by an informationprocessing agent (Cuny et al, 2010). By learning CT, students may benefit from the principles, concepts, and approaches commonly applied to computer science

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