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AI-Driven Personalized Learning Paths: Enhancing Education Through Adaptive Systems

  • Roop Kumar Yekollu,
  • Tejal Bhimraj Ghuge,
  • Sammip Sunil Biradar,
  • Shivkumar V. Haldikar,
  • Omer Farook Mohideen Abdul Kader

摘要

The study discusses the revolutionary impacts of artificial intelligence (AI) on education. It also focuses on the creation and the application of the personalized learning pathways driven by AI. The educational experiences of learners are transformed in the recent years due to the usage of data analytics and machine learning algorithm. These processes assist in the customization of instruction as per the requirement of the learners. The study has examined multiple applications such as AI-powered learning management systems such as Watson Education powered by IBM. Moreover, the adaptive educational sites such as Duolingo have also been cited as an instance of AI-based learning platform. The challenges and the prospects of AI-oriented personalized education are also shown in the study. Moreover, the incorporation of AI-based characters, EDUBOT program, and networked learning are the recommended strategies mentioned in the study to improve education through adaptive systems.