Personalized Learning Platform using Artificial Intelligence

This research proposes a complete framework for solving the difficulties of poor student management and high attrition rates in Massive Open Online Courses (MOOCs) through the integration of Artificial Intelligence (AI) technologies. The framework for mitigating these challenges is presented in this research study. In this study, a multi-pronged strategy is utilized and variety of methods such as discussion forums, content curation, peer to peer content and collaborative projects are investigated. The exploration of AI driven adaptive learning and evaluation methods to enhance the experience of taking massive MOOC is the primary focus of this research. The result findings indicate the efficiency of AI powered adaptive quiz production is giving significance evaluations of student performance. It also represents significance of standardized assessment method and co-effective platforms to integrate the Adaptive Educational Systems. Further, the study indicates essential aspects for improvement within existing MOOC infrastructures. The essential area aspects include personalization driven by AI, elements of gamification and enhanced interactivity. In evaluating the problem-solving skill and delivering personalized feedback, innovative evaluation methos such as Script Concordance evaluations became effective according to comparative review of MOOC platforms. This research also differentiates between general MOOC and connectivity MOOC(c-MOOC) to address the distinct issues in the process of encouraging student engagement. This study presents a unique framework using AI to provide individualized learning experience and incorporates personality test to determine the interest of learners. It also suggests the appropriate career pathways and employs a comprehensive set of evaluation metrics to examine the cognitive capacities and learning development. Through the strategic integration of AI methods such as expanded interactive features and adaptive assessment methods, this study develops multi dimensional method to enhancing the learner's ability to keep data from MOOC and achieve personalized learning outcomes.