3 papers
cs.AI2026
Mathematics Teachers Interactions with a Multi-Agent System for Personalized Problem Generation
Candace Walkington, Theodora Beauchamp, Fareya Ikram +4
Large language models can increasingly adapt educational tasks to learners characteristics. In the present study, we examine a multi-agent teacher-in-the-loop system for personaliz…
cs.CY2026
A Multi-Agent Approach to Validate and Refine LLM-Generated Personalized Math Problems
Fareya Ikram, Nischal Ashok Kumar, Junyang Lu +4
Students benefit from math problems contextualized to their interests. Large language models (LLMs) offer promise for efficient personalization at scale. However, LLM-generated per…
cs.CY2026
Should There be a Teacher In-the-Loop? A Study of Generative AI Personalized Tasks Middle School
Candace Walkington, Mingyu Feng, Itffini Pruitt-Britton +2
Adapting instruction to the fine-grained needs of individual students is a powerful application of recent advances in large language models. These generative AI models can create t…