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20122026
most citedReinforcement Learning under Model Mismatch

11 citations · 52 across the 93 of their papers we have counts for

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5 papers · 1 filter

cs.HC2026

LLM-Based Educational Simulation: Evaluating Temporal Student Persona Stability Across ADHD Profiles

Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins +2

Student simulation with Large language models (LLMs) offers a scalable alternative for educational research and teacher training. Yet, its validity depends on whether models mainta…

cs.HC2026

Stable Personas: Dual-Assessment of Temporal Stability in LLM-Based Human Simulation

Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins +2

Large Language Models (LLMs) acting as artificial agents offer the potential for scalable behavioral research, yet their validity depends on whether LLMs can maintain stable person…

cs.HC2026

FACET: Multi-Agent AI Supporting Teachers in Scaling Differentiated Learning for Diverse Students

Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins +3

Classrooms are becoming increasingly heterogeneous, comprising learners with diverse performance and motivation levels, language proficiencies, and learning differences such as dys…

cs.HC20251 cited

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

Jana Gonnermann-Müller, Jennifer Haase, Konstantin Fackeldey +1

The increasing heterogeneity of student populations poses significant challenges for teachers, particularly in mathematics education, where cognitive, motivational, and emotional d…

cs.HC20245 cited

Human-AI Co-Creativity: Exploring Synergies Across Levels of Creative Collaboration

Jennifer Haase, Sebastian Pokutta

Human-AI co-creativity represents a transformative shift in how humans and generative AI tools collaborate in creative processes. This chapter explores the synergies between human…