Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows

arXiv:2605.14322 · cs.AI · Submitted 2026-05-14 · Read on arXiv

cs.AI

Submitted: 2026-05-14

Updated: 2026-09-29

Comments: Under review

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 3× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• VizQStudio: Iterative Visualization Literacy MCQs Design with Simulated Students
• EdNet: A Large-Scale Hierarchical Dataset in Education
• LearnLM: Improving Gemini for Learning
• The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution
• EduEval: A Hierarchical Cognitive Benchmark for Evaluating Large Language Models in Chinese Education
• TutorBench: A Benchmark To Assess Tutoring Capabilities Of Large Language Models
• MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
• EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios
• TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

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