Stanford University added 204 new studies to its AI Hub for Education research repository in January, bringing the total number of articles to 1,027. This release constitutes one of the largest expansions of the repository to date and reflects the rapid increase in academic research examining generative AI in pre-kindergarten to grade 12 education.
The update significantly increased the volume of peer-reviewed and preprinted research available in one place, at a time when schools and EdTech providers were moving from pilot programs to larger programs. AI deployment.
January update pushed the repository beyond 1,000 studies
Chris Agnew, who works on AI Hub for Education, shared details of the update on LinkedInwriting, “It’s been a few months since you last saw an announcement about additions to the Stanford University Research Repository AI Hub for Education. He added that the pause followed internal work, saying: “Our team has been working hard to overhaul internal systems to improve filtering accuracy for users. »
Agnew said the January release represented a major breakthrough, writing: “We’re excited to start 2026 with a BIG addition of articles! He confirmed that the update added 204 studies, bringing the repository to “1,027 pre-printed, peer-reviewed articles”, which he described as “an increase of almost 25% in articles compared to the last two months of 2025”.
New articles examined student bias, trust and behavior
Agnew highlighted several studies added in the January update that highlighted emerging areas of interest in AI education research. An article by researchers from University College London And Carnegie Mellon University built a benchmark for assessing gender fairness in automated essay comments based on large linguistic models, finding that “most LLMs respond differently by gender.”
Another study from the National and Kapodistrian University of Athens examined how Greek high school students responded to ChatGPT. Agnew noted that exposure to hallucinations led students to “restrict their own use to topics they already understood (and could validate).”
Research from the University of Denver explored how five- and six-year-olds perceived the human-like qualities of AI chatbots and examined “the role of parents in the interaction,” which Agnew described as some of the most significant work he’s seen to date in early childhood AI research.
Framework designed for evidence-based decisions
The research repository is located within Stanford’s AI Hub for Education and is part of the SCALE initiative as part of the Stanford Accelerator for Learning. Studies are categorized as descriptive, impact-based, or analytical research, with a focus on generative AI in K-12 education in the United States.
The collection includes pre-published academic research, but excludes journalism and opinion articles. Research summaries are AI-generated and human-reviewed, with updates released monthly.
As Agnew warned in his article: “Always check your sources and use critical thinking,” emphasizing that even as the repository continues to grow rapidly, interpretation and application remain essential.