Adaptive Learning Revolution with AI-Driven Personalization and Gamified Real-Time Interaction

As cutting-edge technologies like artificial intelligence, machine learning, cloud computing, OpenAI, LLM, generative AI, augmented reality (AR), virtual reality (VR), mixed reality (MR), extended reality (XR), and big data become more prevalent, it is helpful from an educational point of view to analyze the AI-enabled Adaptive Learning Platform with Gamified Personalized System and Real-Time Recommendations. This will allow learners to take full advantage of these new technologies. The literature review and their research on the Adaptive Learning Model are conducted from this point of view. This study assesses the potential of cutting-edge technologies for adaptive learning platforms, addressing the proliferation of personalized with recommendations & gamified educational approaches. Since 2012, numerous studies have been conducted to this extent. Also, the perspective of current going on studies is crucial to provide advanced and accurate solutions in the realm of education which can transform the complete educational & research field. This paper synthesizes the guide for future research and studies on how to better platforms design AI-Based Adaptive Learning Platform with Dynamic Content Delivery, Real-Time Feedback, Student Engagement, Competency-Based Education, Supervised Association Rules, Dynamic System Models, Open Educational Resources (OERs), Reinforcement Learning, Advanced Analytics & Visualization, Scalability, Low Latency. These advancements highlight the potential for AI and machine learning to strengthen personalized learning & gamification, improve student engagement and optimize educational results.