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

Research / Other Relevance: 9/10 2 cited 2025 paper

FACET is a teacher-facing LLM-based multi-agent system that generates individualized mathematics worksheets for grade 8 students by incorporating both cognitive proficiency and intrinsic motivation profiles. The framework uses three specialized agents (learner, teacher, evaluator) and was validated through automated assessments and exploratory feedback from K-12 teachers.

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

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2.1 Pedagogical knowledge 2.2 Pedagogy of generated outputs 2.3 Pedagogical interactions 3.1 Content knowledge 3.2 Content alignment

Tool Types

Teacher Support Tools Tools that assist teachers — lesson planning, content generation, grading, analytics.

Personalised Adaptive Learning Systems that adapt content and difficulty to individual learners.

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

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