ANN-based immersive context teaching approach in virtual reality environments Available to Purchase

In order to improve teaching and learning, this research investigates the creative integration of Artificial Neural Networks (ANNs) within immersive Virtual Reality (VR) settings. The suggested ANN-based immersive context teaching method makes use of ANNs’ adaptive qualities to tailor educational materials to each student’s specific requirements and preferred method of learning. This method promotes better recall, deeper conceptual understanding, and higher student engagement by developing immersive and interactive learning scenarios. The study describes how artificial neural networks (ANNs) can evaluate student performance data in real-time, producing personalised learning routes and instant feedback. Furthermore, the immersive quality of virtual reality enables students to interact practically and experientially with difficult subjects, encouraging active learning. Although the strategy has a lot of potential, there are certain issues with data privacy, accessibility, and technical implementation.