mlsanityData to 7 Oct 2026

Bringing Generative AI to Adaptive Learning in Education

arXiv 2402.14601 ↗First posted 2 Feb 2024cs.CY cs.AI cs.HCcited by 24

On the map: Diffusion models → Diffusion foundations and sampling

Abstract (arXiv)

The recent surge in generative AI technologies, such as large language models and diffusion models, has boosted the development of AI applications in various domains, including science, finance, and education. Concurrently, adaptive learning, a concept that has gained substantial interest in the educational sphere, has proven its efficacy in enhancing students' learning efficiency. In this position paper, we aim to shed light on the intersectional studies of these two methods, which combine generative AI with adaptive learning concepts. By presenting discussions about the benefits, challenges, and potentials in this field, we argue that this union will contribute significantly to the development of the next-stage learning format in education.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Placed in Diffusion foundations and sampling, one of 14 directions in Diffusion models. Builds on 49 of its 158 references that are in the map. First posted on arXiv 2 Feb 2024.

Builds on

49 of 158 references.

Closest ancestors · 3

Same direction, newest first

  1. 2021Diffusion Models Beat GANs on Image Synthesis11 May
  2. 2020Score-Based Generative Modeling through Stochastic Differential Equations26 Nov
  3. 2020Denoising Diffusion Probabilistic Models19 Jun

Other references · 46

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2023GPT-4 Technical Reportcited by 18,132
  4. 2022Training language models to follow instructions with human feedbackcited by 15,712
  5. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  6. 2022Generative Adversarial Networkscited by 5,603
  7. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  8. 2013Auto-Encoding Variational Bayescited by 3,980
  9. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  10. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  11. 2022Survey of Hallucination in Natural Language Generationcited by 2,056
  12. 2020DiffWave: A Versatile Diffusion Model for Audio Synthesiscited by 1,339
34 more
  1. 2023ModelScope Text-to-Video Technical Reportcited by 651
  2. 2023Instruction Tuning for Large Language Models: A Surveycited by 617
  3. 2023NExT-GPT: Any-to-Any Multimodal LLMcited by 610
  4. 2021Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speechcited by 445
  5. 2023A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPTcited by 364
  6. 2023Character-LLM: A Trainable Agent for Role-Playingcited by 335
  7. 2015Deep Knowledge Tracingcited by 328
  8. 2022Inversion-Based Style Transfer with Diffusion Modelscited by 290
  9. 2023ToolQA: A Dataset for LLM Question Answering with External Toolscited by 273
  10. 2015A Critical Review of Recurrent Neural Networks for Sequence Learningcited by 223
  11. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
  12. 2020Context-Aware Attentive Knowledge Tracingcited by 172
  13. 2016Dynamic Key-Value Memory Networks for Knowledge Tracingcited by 170
  14. 2019A Self-Attentive model for Knowledge Tracingcited by 169
  15. 2022M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systemscited by 152
  16. 2019EKT: Exercise-aware Knowledge Tracing for Student Performance Predictioncited by 109
  17. 2023EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Educationcited by 80
  18. 2022Knowledge Tracing: A Surveycited by 76
  19. 2019Neural Cognitive Diagnosis for Intelligent Education Systemscited by 75
  20. 2023MathChat: Converse to Tackle Challenging Math Problems with LLM Agentscited by 67
  21. 2019Knowledge Tracing with Sequential Key-Value Memory Networkscited by 60
  22. 2018Unsupervised Keyphrase Extraction with Multipartite Graphscited by 50
  23. 2022How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Modelscited by 43
  24. 2022What is it like to program with artificial intelligence?cited by 39
  25. 2019Enhancing Item Response Theory for Cognitive Diagnosiscited by 25
  26. 2024LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendationcited by 19
  27. 2023Learning by Analogy: Diverse Questions Generation in Math Word Problemcited by 18
  28. 2021Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testingcited by 17
  29. 2023An Unified Search and Recommendation Foundation Model for Cold-Start Scenariocited by 12
  30. 2024CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfercited by 10
  31. 2023Let Me Teach You: Pedagogical Foundations of Feedback for Language Modelscited by 9
  32. 2023Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Educationcited by 8
  33. 2022Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Educationcited by 5
  34. 2023ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs)cited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 7; 2025: 10; 2026: 7.

24 papers.

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  1. 2024Large Language Models for Education: A Survey and Outlookcited by 185
  2. 2024ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detectioncited by 37
  3. 2025Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoningcited by 33
  4. 2025Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systemscited by 32
  5. 2025MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detectioncited by 24
  6. 2025LLM-based Automated Grading with Human-in-the-Loopcited by 13
  7. 2024AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correctioncited by 12
  8. 2024Foundation Models for Education: Promises and Prospectscited by 10
  9. 2025Can Vision-Language Models Evaluate Handwritten Math?cited by 10
  10. 2025CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoringcited by 7
  11. 2024Time Series Analysis for Education: Methods, Applications, and Future Directionscited by 5
  12. 2024Knowledge Tagging with Large Language Model based Multi-Agent Systemcited by 5
12 more
  1. 2025Using Large Language Models for education managements in Vietnamese with low resourcescited by 4
  2. 2026PATS: Personality-Aware Teaching Strategies with Large Language Model Tutorscited by 4
  3. 2025From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Modelscited by 3
  4. 2026Edu-Theater: A Data-Efficient Agent Framework for Scalable Learner Behavior Simulation through Staging Roll-Callcited by 2
  5. 2025Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on a Math Textbookcited by 1
  6. 2026Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Spacecited by 1
  7. 2024Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directionscited by 0
  8. 2025Cognifying Education: Mapping AI's transformative role in emotional, creative, and collaborative learningcited by 0
  9. 2026Dynamic Framework for Collaborative Learning: Leveraging Advanced LLM with Adaptive Feedback Mechanismscited by 0
  10. 2026Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learningcited by 0
  11. 2026"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systemscited by 0
  12. 2026PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planningcited by 0

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