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Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics

arXiv 2507.18949 ↗First posted 25 Jul 2025cs.CY cs.CLcited by 0

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Abstract (arXiv)

Large language models (LLMs) are revolutionizing the field of education by enabling personalized learning experiences tailored to individual student needs. In this paper, we introduce a framework for Adaptive Learning Systems that leverages LLM-powered analytics for personalized curriculum design. This innovative approach uses advanced machine learning to analyze real-time data, allowing the system to adapt learning pathways and recommend resources that align with each learner's progress. By continuously assessing students, our framework enhances instructional strategies, ensuring that the materials presented are relevant and engaging. Experimental results indicate a marked improvement in both learner engagement and knowledge retention when using a customized curriculum. Evaluations conducted across varied educational environments demonstrate the framework's flexibility and positive influence on learning outcomes, potentially reshaping conventional educational practices into a more adaptive and student-centered model.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 29 of its 33 references that are in the map. First posted on arXiv 25 Jul 2025.

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29 of 33 references.

References · 29

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2022Training language models to follow instructions with human feedbackcited by 15,712
  3. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
  4. 2020Aligning AI With Shared Human Valuescited by 706
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  6. 2016Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?cited by 194
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  8. 2018MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledgecited by 30
  9. 2024APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMscited by 11
  10. 2023TrainerAgent: Customizable and Efficient Model Training through LLM-Powered Multi-Agent Systemcited by 8
  11. 2023Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Educationcited by 7
  12. 2024LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Educationcited by 5
17 more
  1. 2020Families In Wild Multimedia: A Multimodal Database for Recognizing Kinshipcited by 4
  2. 2023Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systemscited by 4
  3. 2024Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learningcited by 4
  4. 2024Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systemscited by 3
  5. 2024Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMscited by 3
  6. 2024Indexing Analytics to Instances: How Integrating a Dashboard can Support Design Educationcited by 2
  7. 2024Physics-informed neural networks with curriculum training for poroelastic flow and deformation processescited by 2
  8. 2024Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systemscited by 2
  9. 2024Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approachcited by 2
  10. 2024Assessing Personalized AI Mentoring with Large Language Models in the Computing Fieldcited by 2
  11. 2024ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scalecited by 2
  12. 2024Learning Analytics in Higher Education -- Exploring Students and Teachers Expectations in Germanycited by 1
  13. 2024Towards an Operational Responsible AI Framework for Learning Analytics in Higher Educationcited by 1
  14. 2024Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding Curriculum Learning in Subpopulation Shift Setupscited by 1
  15. 2024Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Educationcited by 1
  16. 2024ALPACA -- Adaptive Learning Pipeline for Comprehensive AIcited by 1
  17. 2024Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networkscited by 1

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