Generative AI and Its Impact on Personalized Intelligent Tutoring Systems

Subhankar Maity, Aniket Deroy
10/14/2024
cs.CLcs.AI

No confident code implementation found for this paper.

Abstract

Generative Artificial Intelligence (AI) is revolutionizing educational technology by enabling highly personalized and adaptive learning environments within Intelligent Tutoring Systems (ITS). This report delves into the integration of Generative AI, particularly large language models (LLMs) like GPT-4, into ITS to enhance personalized education through dynamic content generation, real-time feedback, and adaptive learning pathways. We explore key applications such as automated question generation, customized feedback mechanisms, and interactive dialogue systems that respond to individual learner needs. The report also addresses significant challenges, including ensuring pedagogical accuracy, mitigating inherent biases in AI models, and maintaining learner engagement. Future directions highlight the potential advancements in multimodal AI integration, emotional intelligence in tutoring systems, and the ethical implications of AI-driven education. By synthesizing current research and practical implementations, this report underscores the transformative potential of Generative AI in creating more effective, equitable, and engaging educational experiences.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{maity2024generative,
  title  = {Generative AI and Its Impact on Personalized Intelligent Tutoring Systems},
  author = {Subhankar Maity and Aniket Deroy},
  year   = {2024},
  eprint = {2410.10650},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.10650v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2410.10650.svg)](https://codeofpaper.com/paper/2410.10650)

Discussion