Generative AI and Its Impact on Personalized Intelligent Tutoring Systems
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Abstract (arXiv)
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.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 2 of its 29 references that are in the map. First posted on arXiv 14 Oct 2024.
Builds on
2 of 29 references.
References · 2
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Citing papers per year: 2024: 3; 2025: 7; 2026: 1.
11 papers.
- 2025A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasurescited by 54
- 2025Generative AI in Education: From Foundational Insights to the Socratic Playground for Learningcited by 5
- 2025Can LLMs Infer Personality from Real World Conversations?cited by 3
- 2024Prompt Engineering Using GPT for Word-Level Code-Mixed Language Identification in Low-Resource Dravidian Languagescited by 2
- 2025Agentic Persona Control and Task State Tracking for Realistic User Simulation in Interactive Scenarioscited by 1
- 2026Open TutorAI: An Open-source Platform for Personalized and Immersive Learning with Generative AIcited by 1
- 2024Cancer-Answer: Empowering Cancer Care with Advanced Large Language Modelscited by 0
- 2024CryptoLLM: Unleashing the Power of Prompted LLMs for SmartQnA and Classification of Crypto Postscited by 0
- 2025Evaluating the Impact of AI-Powered Audiovisual Personalization on Learner Emotion, Focus, and Learning Outcomescited by 0
- 2025Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics?cited by 0
- 2025Enhancing knowledge tracing robustness for new question cold start in Intelligent Tutoring Systemscited by 0
- 2026Open TutorAI: An Open-source Platform for Personalized and Immersive Learning with Generative AI6 Feb 2026
- 2025Enhancing knowledge tracing robustness for new question cold start in Intelligent Tutoring Systems8 Dec 2025
- 2025Agentic Persona Control and Task State Tracking for Realistic User Simulation in Interactive Scenarios30 Nov 2025
- 2025Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics?3 Aug 2025
- 2025Can LLMs Infer Personality from Real World Conversations?18 Jul 2025
- 2025A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures24 Jun 2025
- 2025Evaluating the Impact of AI-Powered Audiovisual Personalization on Learner Emotion, Focus, and Learning Outcomes5 May 2025
- 2025Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning12 Jan 2025
- 2024CryptoLLM: Unleashing the Power of Prompted LLMs for SmartQnA and Classification of Crypto Posts12 Nov 2024
- 2024Cancer-Answer: Empowering Cancer Care with Advanced Large Language Models11 Nov 2024
- 2024Prompt Engineering Using GPT for Word-Level Code-Mixed Language Identification in Low-Resource Dravidian Languages6 Nov 2024