FACET: Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational Worksheets

FACET is a teacher-facing LLM-based multi-agent system that generates personalized mathematics worksheets for grade 8 students by modeling learner profiles (cognitive proficiency and intrinsic motivation), adapting content through a teacher agent, and evaluating quality through an automated evaluator agent. The system was evaluated through automated agent-based assessment and exploratory feedback from K-12 in-service teachers on authentic curriculum content.

The increasing heterogeneity of student populations poses significant challenges for teachers, particularly in mathematics education, where cognitive, motivational, and emotional differences strongly influence learning outcomes. While AI-driven personalization tools have emerged, most remain performance-focused, offering limited support for teachers and neglecting broader pedagogical needs. This paper presents the FACET framework, a teacher-facing, large language model (LLM)-based multi-agent sy

Source

Framework Categories

Tool Types

Tags