Ethics in Immersion: XR and the Synthetic Data Dance Revolution

Abstract

This work in progress (WiP) paper is exploring immersive learning approaches within computing education, focusing on synthetic data (SD) generation, data ethics, biometrics for extended reality (XR). Using Google Colab™ with SynthDataVault this platform serves as both a practical tool for SD creation and an interactive teaching environment. With AR Ballet biometric datasets, students engage with SD generation concepts while critically examining ethical implications surrounding body-related data. The core educational objectives include developing AI competencies, applying SD within XR, fostering ethical awareness, and promoting interdisciplinary learning between computing and the arts. This approach integrates theoretical understanding with hands-on experience, addressing challenges such as differential privacy and algorithmic bias. Future stages will refine SD processes, enhance XR applications, and further explore the ethical dimensions of biometric data synthesis. By integrating technical and ethical considerations, the project aims to enhance computing education through cross-disciplinary, real-world creative and technical applications.