Date
Publisher
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.
Study at a glance
- Question: Which leading AI model best supports learning goals in realistic educational scenarios?
- Setting and data: 189 educators role-playing learning interactions and 206 pedagogy experts evaluating four leading AI models.
- Method: Blind, head-to-head comparisons where educators role-play learning interactions with AI models and experts judge which model better supports learning.
Why it matters
Artificial intelligence is poised to transform education, but the research community lacks a robust, general benchmark to evaluate AI models for learning.
Key findings
- In evaluations with 189 educators and 206 pedagogy experts, experts preferred Gemini 2.5 Pro in 73.2% of match-ups over other leading models.
- Gemini 2.5 Pro demonstrated markedly higher performance across key principles of good pedagogy compared to other evaluated models.
- Gemini 2.5 Pro ranked first overall among evaluated models in supporting realistic learning goals.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Why use AI?
Study design

