Cover Image

Learning in Context: Personalizing Educational Content with Large Language Models to Enhance Student Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lim, Joy Jia Yin, Zhang-Li, Daniel, Yu, Jifan, Cong, Xin, He, Ye, Liu, Zhiyuan, Liu, Huiqin, Hou, Lei, Li, Juanzi, Xu, Bin
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination
by: Zhang-Li, Daniel, et al.
Published: (2024)

Simulating Classroom Education with LLM-Empowered Agents
by: Zhang, Zheyuan, et al.
Published: (2024)

Mapping Student-AI Interaction Dynamics in Multi-Agent Learning Environments: Supporting Personalised Learning and Reducing Performance Gaps
by: Hao, Zhanxin, et al.
Published: (2025)

MAIC-UI: Making Interactive Courseware with Generative UI
by: Tu, Shangqing, et al.
Published: (2026)

Student-AI Interaction in an LLM-Empowered Learning Environment: A Cluster Analysis of Engagement Profiles
by: Hao, Zhanxin, et al.
Published: (2025)

Personalized Learning Path Planning with Goal-Driven Learner State Modeling
by: Lim, Joy Jia Yin, et al.
Published: (2025)

Personalized Programming Education: Using Machine Learning to Boost Learning Performance Based on Students' Personality Traits
by: Tseng, Chun-Hsiung, et al.
Published: (2025)

Personalized Inhibition Training with Eye-Tracking: Enhancing Student Learning and Teacher Assessment in Educational Games
by: Rehman, Abdul, et al.
Published: (2025)

LearnMate: Enhancing Online Education with LLM-Powered Personalized Learning Plans and Support
by: Wang, Xinyu Jessica, et al.
Published: (2025)

Decoding Student Dialogue: A Multi-Dimensional Comparison and Bias Analysis of Large Language Models as Annotation Tools
by: Cao, Jie, et al.
Published: (2026)

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
by: Chen, Eason, et al.
Published: (2024)

PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts
by: Do, Tiffany D., et al.
Published: (2024)

Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems
by: Liu, Zhengyuan, et al.
Published: (2024)

Design Implications for Student and Educator Needs in AI-Supported Programming Learning Tools
by: Ma, Boxuan, et al.
Published: (2026)

ExaCraft: Dynamic Learning Context Adaptation for Personalized Educational Examples
by: Chatterjee, Akaash, et al.
Published: (2025)

Tracing Prompt-Level Trajectories to Understand Student Learning with AI in Programming Education
by: Shao, Tianyu, et al.
Published: (2026)

MARLens: Understanding Multi-agent Reinforcement Learning for Traffic Signal Control via Visual Analytics
by: Zhang, Yutian, et al.
Published: (2024)

Generative Co-Learners: Enhancing Cognitive and Social Presence of Students in Asynchronous Learning with Generative AI
by: Wang, Tianjia, et al.
Published: (2024)

AttentiveLearn: Personalized Post-Lecture Support for Gaze-Aware Immersive Learning
by: Liu, Shi, et al.
Published: (2026)

TSConnect: An Enhanced MOOC Platform for Bridging Communication Gaps Between Instructors and Students in Light of the Curse of Knowledge
by: Liu, Qianyu, et al.
Published: (2025)

Continual Learning for Enhancing Personal Assistants Using Machine Learning
by: Ahmed Kakamin Mahmood, et al.
Published: (2026)

PersonaMail: Learning and Adapting Personal Communication Preferences for Context-Aware Email Writing
by: Yao, Rui, et al.
Published: (2026)

Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations
by: Chen, Chaoran, et al.
Published: (2024)

Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning
by: Hou, Xinying, et al.
Published: (2025)

Empowering Personalized Learning through a Conversation-based Tutoring System with Student Modeling
by: Park, Minju, et al.
Published: (2024)

Input-Envelope-Output: Auditable Generative Music Rewards in Sensory-Sensitive Contexts
by: Ye, Cong, et al.
Published: (2026)

Quantifying Personality in Human-Drone Interactions for Building Heat Loss Inspection with Virtual Reality Training
by: Liu, Pengkun, et al.
Published: (2025)

The Effects of Generative AI Agents and Scaffolding on Enhancing Students' Comprehension of Visual Learning Analytics
by: Yan, Lixiang, et al.
Published: (2024)

Generative AI as a Tool for Enhancing Reflective Learning in Students
by: Yuan, Bo, et al.
Published: (2024)

Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot
by: Lim, Jun Hong, et al.
Published: (2023)

Integrating Virtual and Augmented Reality into Public Education: Opportunities and Challenges in Language Learning
by: Kojić, Tanja, et al.
Published: (2026)

Adapting to Educate: Conversational AI's Role in Mathematics Education Across Different Educational Contexts
by: Liu, Alex, et al.
Published: (2025)

Do Students with Different Personality Traits Demonstrate Different Physiological Signals in Video-based Learning?
by: Tseng, Chun-Hsiung, et al.
Published: (2024)

Leveraging User Experience and Learning Analytics for Enhanced Student Well-being
by: Aadmi-Laamech, Khadija El, et al.
Published: (2024)

Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content
by: Li, Wenqi, et al.
Published: (2025)

Enhancing Representation Learning of EEG Data with Masked Autoencoders
by: Zhou, Yifei, et al.
Published: (2024)

CollaClassroom: An AI-Augmented Collaborative Learning Platform with LLM Support in the Context of Bangladeshi University Students
by: Sayeed, Salman, et al.
Published: (2025)

Enhancing Higher Education with Generative AI: A Multimodal Approach for Personalised Learning
by: Chan, Johnny, et al.
Published: (2025)

Personalized Continual EEG Decoding: Retaining and Transferring Knowledge
by: Li, Dan, et al.
Published: (2024)

Designing Scaffolded Interfaces for Enhanced Learning and Performance in Professional Software
by: Liu, Yimeng, et al.
Published: (2025)