
The development of the Metaverse has drawn much attention in education. Roblox, as an important platform in the Metaverse, attracts millions of young users, which raises the question of how its effectiveness as a learning environment can be maximized. This study aims to synthesize the available evidence to provide an overview of the current research on learning in Roblox by exploring its benefits, challenges, and existing gaps. In line with PRISMA and assisted by LDA topic modeling, we included 40 studies that were analyzed to answer our questions. The research findings show that: (1) Roblox could be combined with social interactive learning or collaborative learning environments, provide a VR environment that supports learning, and be of benefit to programming in STEM education; (2) the use of Roblox in learning has the advantages of attracting a large number of student users, eliciting the positive attitudes of students, and promoting students’ cognitive and noncognitive learning abilities; and (3) there are also challenges such as cyberbullying, cybersecurity, lack of adequate teaching design, etc. Empirical studies on this topic have only begun to emerge, and more future research is needed into different pedagogical scenarios to explore the effects, factors, outcomes, designs, etc.
systematic review, learning in Metaverse, challenges, latent Dirichlet allocation, benefits, L, Education
systematic review, learning in Metaverse, challenges, latent Dirichlet allocation, benefits, L, Education
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 104 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
