Design and Implementation of AI-Based Authoring Tools for Learning Systems Development

This study provides a complete AI-based educational material creation technique. The objective is to improve learning materials' quality, accuracy, and flexibility. The recommended solution involves sorting raw data, adding information using transformer-based models, and optimizing the final result using powerful optimization algorithms. Self-attention, reinforcement learning, and mistake correction provide context-appropriate and well-organized information. The technique outperforms previous AI-based writing tools in utility, scale, speed, accuracy, and user participation. Many educational contexts can utilize the strategy to produce high-quality, student-friendly teaching resources. It offers robust data protection features and protects data with several capabilities. The strategy emphasizes individualized content and interaction to engage users and boost student achievements. Schools that desire fast, affordable, and customizable AI-powered lesson planning may use this strategy. The current school system effectively utilizes this strategy.