mlsanityData to 14 Oct 2026

Evaluating Gemini in an arena for learning

arXiv 2505.24477 ↗First posted 30 May 2025cs.CY cs.AI cs.LGcited by 11

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Abstract (arXiv)

Artificial intelligence (AI) is poised to transform education, but the research community lacks a robust, general benchmark to evaluate AI models for learning. To assess state-of-the-art support for educational use cases, we ran an "arena for learning" where educators and pedagogy experts conduct blind, head-to-head, multi-turn comparisons of leading AI models. In particular, N = 189 educators drew from their experience to role-play realistic learning use cases, interacting with two models sequentially, after which N = 206 experts judged which model better supported the user's learning goals. The arena evaluated a slate of state-of-the-art models: Gemini 2.5 Pro, Claude 3.7 Sonnet, GPT-4o, and OpenAI o3. Excluding ties, experts preferred Gemini 2.5 Pro in 73.2% of these match-ups -- ranking it first overall in the arena. Gemini 2.5 Pro also demonstrated markedly higher performance across key principles of good pedagogy. Altogether, these results position Gemini 2.5 Pro as a leading model for learning.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 13 of its 54 references that are in the map. First posted on arXiv 30 May 2025.

Builds on

13 of 54 references.

References · 13

  1. 2021Training Verifiers to Solve Math Word Problemscited by 10,109
  2. 2020Measuring Massive Multitask Language Understandingcited by 7,963
  3. 2021Measuring Mathematical Problem Solving With the MATH Datasetcited by 5,371
  4. 2018Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challengecited by 4,886
  5. 2023GPQA: A Graduate-Level Google-Proof Q&A Benchmarkcited by 2,879
  6. 2023MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIcited by 2,080
  7. 2024Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preferencecited by 1,184
  8. 2025Humanity's Last Examcited by 491
  9. 2024Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluationcited by 191
  10. 2024Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approachcited by 54
  11. 2024Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertisecited by 50
  12. 2024LearnLM: Improving Gemini for Learningcited by 25
1 more
  1. 2023Human participants in AI research: Ethics and transparency in practicecited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 6; 2026: 5.

11 papers.