AI Driven Technological Drift in Interactive Learning

Abstract

AI and ML technology are changing how people learn in both education and professional growth. Our approach integrates AI-driven study schedules, resume tracking, student performance analysis, and discussion facilitation to create an inclusive atmosphere. Students are able to maximize their learning experiences with the AI-Integrated Study Plan module, which customizes study programs based on user data analysis.. The Resume Tracker module, in a similar vein, uses machine learning algorithms to process resumes and connect candidates with jobs, thus streamlining the application process. Personalized support is provided via the Student Performance Analysis module, which predicts performance trends using machine learning techniques. By using AI-powered content recommendation and intelligent moderation, the Discussion Forum module also promotes collaborative learning. Through providing tailored assistance, encouraging involvement, and enabling ongoing growth, our project aims to revolutionize education and equip learners for success in the modern, fast-paced world. Our goal is to provide students with the tools and resources they need to succeed in a world that is becoming more competitive and dynamic, enabling them to reach their full potential and make valuable contributions to society.

Authors and Affiliations

K Gopala Reddy, J Vishala SubbaLakshmi, P Phani Sivani, S Kiran Kumar

Keywords

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  • EP ID EP747891
  • DOI https://doi.org/10.46501/IJMTST1009012
  • Views 2
  • Downloads 0

How To Cite

K Gopala Reddy, J Vishala SubbaLakshmi, P Phani Sivani, S Kiran Kumar (2024). AI Driven Technological Drift in Interactive Learning. International Journal for Modern Trends in Science and Technology, 10(9), -. https://europub.co.uk/articles/-A-747891