Ruby Mann
Papers
1
Total Citations
4
H-Index
1
About
Ruby Mann’s research lies at the intersection of mathematics education and immersive technology, with a focus on how virtual reality (VR) can transform the way students grasp complex mathematical concepts. Her most-cited work, "Assisting Students to Understand Mathematical Graphs Using Virtual Reality Application" (2019), has garnered 4 citations and stands as a pioneering contribution to the field. In this study, Mann demonstrated how VR environments can make abstract graphical representations—such as functions and coordinate systems—tangible and interactive, offering a novel pedagogical tool that bridges the gap between visual intuition and formal mathematics. Her approach not only enhances student engagement but also provides a replicable framework for educators seeking to integrate VR into STEM curricula. Though early in her career, Mann’s work signals a promising trajectory in educational technology, with potential to influence how spatial reasoning and data visualization are taught. Her research is particularly valuable for students and researchers exploring the cognitive and practical benefits of immersive learning, marking her as an emerging voice in the ongoing effort to make mathematics more accessible through innovation.
Research Focus
Key Achievements
Top Papers
- 1