VR visualization-aided learning using data analytics

Fernando Suarez-Warden, Nora Argelia Aguilera González,Viacheslav Kalashnikov

INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM(2022)

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摘要
The current advances in technology applications and data analytics must receive the attention it deserves; otherwise, the innovations of recent research in education will achieve little. This work proposes an integration of concepts, explorations, and schemes using virtual reality and data sets as tools that lead to significant performance improvement in learning. In many intricate cases, the use of virtual-reality-aided visualization to interpret 3D models or drawings correctly as an exploratory instrument has resulted in substantial solutions. A statistical validation is appropriate to confirm the hypothesis to be probed. The challenge is to accomplish the teaming of virtual-reality-aided-visualization technology with Data Analytics to impact learning performance positively. Also, other elements such as decision-making functions and laser cutting and the analysis of variances or ANOVA statistical methods to confirm the hypotheses in this research are discussed in this article.
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关键词
Learning performance,Virtual reality visualization,Data analytics,Decision-making,Nesting,Educational innovation
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