Two major tech companies are launching ambitious research and training programs to help educators integrate AI into classrooms, even as psychologists warn that digital engagement alone doesn't guarantee students are actually learning. OpenAI has established the Learning Lab, a research network designed to study how artificial intelligence affects learning, teaching, and assessment across different educational settings. Simultaneously, Google is expanding its AI Educator Series with new training modules and a national virtual event scheduled for September 19, 2026.

What Does OpenAI's Learning Lab Actually Do?

OpenAI Education convened researchers, educators, and builders at its San Francisco headquarters to launch the Learning Lab, positioning it as an ongoing research ecosystem rather than a single project. The initiative brings together independent researchers, educators, students, and builders across disciplines including learning science, neuroscience, economics, sociology, policy, and technology to develop shared research questions and examine what works across different educational settings.

The company acknowledges significant gaps in current knowledge. OpenAI describes existing research on AI's effectiveness for learning as "early and mixed" and points to a real risk that students could use AI to reach answers without doing the thinking needed to build understanding, judgment, and longer-term skills. "These challenges cannot be solved by a better model or a single study," the company stated.

The Learning Lab has three stated goals: maintaining a research network that continues across future model releases, sharing findings that can contribute to the field and inform OpenAI's products, and giving participants greater understanding of frontier AI through hands-on work and access to the company's technical teams. Researchers from the University of Tartu presented work connected to Estonia's national AI rollout and their study of how AI affects cognition over time. The University of Tartu and Stanford University are also working with OpenAI on new approaches to measuring learning outcomes.

How Are Teachers Getting Trained to Use AI Effectively?

Google is taking a different approach by focusing on practical, bite-sized training for educators. The Google AI Educator Series offers free, on-demand training designed to give teachers practical AI skills they can use immediately, with sessions taking less than 15 minutes to earn a digital badge. The company is adding new modules on the first Wednesday of every month, complete with rigorous checks for understanding.

Google listened to educator feedback requesting more hands-on practical applications. The latest modules help teachers accomplish several concrete goals:

• Eliminate Administrative Work: Learn how to identify frequent, simple tasks like drafting notification emails to parents when an assignment is missed and automate them through Google tools to reclaim time with students.
• Provide Personalized Support: The Active Problem-Solving module introduces Gemini's Guided Learning feature, which helps students work through complex problems with Socratic guidance rather than providing direct answers.
• Elevate Student Research: For higher education, the Planning the Inquiry module demonstrates how to use Gemini's Deep Research feature to build skills in student research and inquiry for papers and theses.
• Build Interactive Learning: The "AI Quest: Market Marshes" module teaches educators how to create interactive game-based learning experiences based on real-world topics, from human agency to flood forecasting.

Google is hosting a free, 10-hour virtual Badge-a-thon on September 19, 2026, from 9:00 AM to 7:00 PM ET. Teachers can drop in for lightning talks from fellow educators, get hands-on training, and earn official ISTE-aligned digital badges live. The event is designed specifically for K-12 educators and includes custom swag giveaways.

Why Are Experts Concerned About Measuring AI Learning Success?

While tech companies invest in AI education tools, the American Psychological Association has released a comprehensive expert report warning that digital engagement with educational technology does not equate to actual learning. The APA Expert Report on Children's and Adolescents' Learning with Educational Technology specifically cautions that generative AI tools present significant pedagogical risks by artificially elevating immediate academic performance without fostering durable knowledge or foundational skills.

The report, compiled by a multidisciplinary panel of cognitive and educational psychologists, emphasizes that true learning is best measured by a learner's capacity to apply newly acquired concepts beyond digital interfaces, rather than by metrics such as screen time, click frequency, or interactive rewards. Nicole Barnes, the APA's executive lead psychologist for education, underscores the critical distinction between output quality and cognitive development, noting that AI-assisted essays or assignments do not inherently reflect improved writing ability or critical thinking.

"AI-assisted essays or assignments do not inherently reflect improved writing ability or critical thinking," explained Nicole Barnes, the APA's executive lead psychologist for education.

Nicole Barnes, Executive Lead Psychologist for Education, American Psychological Association

Rather than enforcing blanket restrictions, the APA report advocates for pedagogical strategies that train students to actively interrogate AI-generated content. Learners are encouraged to test algorithmic assumptions, identify logical inconsistencies, cross-reference multiple sources, and evaluate how responses shift under varying conditions. This approach reframes AI from an autonomous answer engine into an interactive framework for continuous academic scrutiny and skill refinement.

What Accountability Measures Are Experts Recommending?

The APA report mandates that companies must substantiate learning claims with rigorous, peer-reviewed data, while school districts are urged to require credible, independent validation before procuring or licensing digital platforms. For parents navigating consumer EdTech markets, the APA recommends a fundamental due diligence approach: verify the organizational backing of educational software, scrutinize marketing assertions against available scientific literature, and demand transparent efficacy metrics.

OpenAI's Learning Lab appears to be responding to these concerns by positioning itself as a long-term research initiative. The company states that "good research takes time, and some of the questions we're asking may take years to answer well." It plans to make research tools, methodologies, and learnings more widely available through existing resources including the OpenAI Research Index, Researcher Access Program, ChatGPT for Academic Researchers, Learning Outcomes Measurement Suite, OpenAI Forum, and OpenAI Academy.

The convergence of these initiatives reflects a broader shift in AI education from rapid deployment to evidence-building. OpenAI is inviting researchers studying how ChatGPT affects teaching and learning, examining AI's effects on assessment and education systems, or developing relevant measures, methods, and datasets to register their interest in joining the Learning Lab. Meanwhile, Google's focus on practical teacher training suggests that implementation and educator readiness are moving forward in parallel with research efforts, creating both opportunities and risks for students and schools navigating this rapidly evolving landscape.