Integrating circular fuzzy approach with an interval valued EDAS approach to evaluate teaching effectiveness in virtual and augmented reality classrooms

将循环模糊方法与区间值EDAS方法相结合,用于评估虚拟和增强现实课堂中的教学效果

阅读:2

Abstract

Virtual reality (VR) and augmented reality (AR) technologies have created new possibilities that redefine the scope of modern education, allowing for the creation of entirely immersive and engaging learning environments. With the rapid adoption of these technologies to enhance educational environments, the importance of having methods to measure the effectiveness of teaching performance in such immersive settings has become increasingly crucial. This study introduces a new framework that integrates the circular interval-valued intuitionistic fuzzy (CIVIF) framework and the evaluation based on the distance from average solution (EDAS) method to assess teaching effectiveness in VR and AR classrooms. The proposed framework assesses various pedagogical strategies, learner engagement levels, and technological efficacy in VR/AR classrooms, taking into account the uncertainties inherent in these evaluations. The proposed framework is validated through experimental case studies in VR/AR classrooms, which demonstrate that collaborative AR projects are the most effective approach, followed by gamified learning and storytelling. The findings confirm that this hybrid approach provides greater objectivity and scalability, offering actionable insights for educators and administrators to identify strengths, weaknesses, and areas for improvement within a given methodology. These results demonstrate the model's ability to provide insight into enhanced teaching methodologies in immersive learning contexts. This research presents a transformative tool for education stakeholders, leading to data-driven increases in teaching effectiveness specific to the needs of next-generation classrooms.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。