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

arXiv: https://arxiv.org/abs/2507.18949 · HTML: https://mlsanity.com/paper/2507.18949/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 29 of its 33 references that are in the map.
- First posted on arXiv 25 Jul 2025.

## Builds on (most cited first, 29 of 29)

- [Language Models are Few-Shot Learners](https://mlsanity.com/paper/2005.14165/) (2020)
- [Training language models to follow instructions with human feedback](https://mlsanity.com/paper/2203.02155/) (2022)
- [PaLM: Scaling Language Modeling with Pathways](https://mlsanity.com/paper/2204.02311/) (2022)
- [Aligning AI With Shared Human Values](https://mlsanity.com/paper/2008.02275/) (2020)
- [Deep Transfer Learning with Joint Adaptation Networks](https://mlsanity.com/paper/1605.06636/) (2016)
- [Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?](https://mlsanity.com/paper/1610.01983/) (2016)
- [Curriculum reinforcement learning for quantum architecture search under hardware errors](https://mlsanity.com/paper/2402.03500/) (2024)
- [MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge](https://mlsanity.com/paper/1803.05223/) (2018)
- [APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs](https://mlsanity.com/paper/2410.19656/) (2024)
- [TrainerAgent: Customizable and Efficient Model Training through LLM-Powered Multi-Agent System](https://mlsanity.com/paper/2311.06622/) (2023)
- [Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education](https://mlsanity.com/paper/2312.09548/) (2023)
- [Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning](https://mlsanity.com/paper/2404.15156/) (2024)
- [LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education](https://mlsanity.com/paper/2410.15025/) (2024)
- [Families In Wild Multimedia: A Multimodal Database for Recognizing Kinship](https://mlsanity.com/paper/2007.14509/) (2020)
- [Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems](https://mlsanity.com/paper/2304.01732/) (2023)
- [Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems](https://mlsanity.com/paper/2403.17634/) (2024)
- [Physics-informed neural networks with curriculum training for poroelastic flow and deformation processes](https://mlsanity.com/paper/2404.13909/) (2024)
- [Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs](https://mlsanity.com/paper/2405.12946/) (2024)
- [Indexing Analytics to Instances: How Integrating a Dashboard can Support Design Education](https://mlsanity.com/paper/2404.05417/) (2024)
- [Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems](https://mlsanity.com/paper/2409.19769/) (2024)
- [Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach](https://mlsanity.com/paper/2411.08149/) (2024)
- [Assessing Personalized AI Mentoring with Large Language Models in the Computing Field](https://mlsanity.com/paper/2412.08430/) (2024)
- [ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale](https://mlsanity.com/paper/2412.14200/) (2024)
- [Learning Analytics in Higher Education -- Exploring Students and Teachers Expectations in Germany](https://mlsanity.com/paper/2401.11981/) (2024)
- [Towards an Operational Responsible AI Framework for Learning Analytics in Higher Education](https://mlsanity.com/paper/2410.05827/) (2024)
- [Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding Curriculum Learning in Subpopulation Shift Setups](https://mlsanity.com/paper/2411.15272/) (2024)
- [Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education](https://mlsanity.com/paper/2412.09914/) (2024)
- [ALPACA -- Adaptive Learning Pipeline for Comprehensive AI](https://mlsanity.com/paper/2412.10950/) (2024)
- [Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks](https://mlsanity.com/paper/2412.18564/) (2024)

## 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.