Towards a Virtual Reality-Based Educational System for Teaching Single-Layer Perceptron Concepts

We present a Virtual Reality (VR) educational system for teaching single-layer perceptron concepts, offering an immersive and interactive approach to enhance traditional learning methods. The VR platform gamifies neural network training by simulating a logical OR gate in a factory-inspired environment, aiming at bridging abstract theories with practical applications. In a user study with eight participants, the system received positive but also critical feedback for its interactivity and usability, achieving a System Usability Scale score of 64.69. As an initial study on teaching machine learning in VR, this work highlights VR’s potential to enhance comprehension and engagement through experiences.

Khezrian, N., Farzinnejad, F., & Grubert, J. (2025, March). Towards a Virtual Reality-Based Educational System for Teaching Single-Layer Perceptron Concepts. In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 1416-1417). IEEE.