ChatGPT, Llama, Claude, Grok, DeepSeek, Claude – these are names. Specifically, this is a non-comprehensive list of the various AI technologies that are revolutionizing how we teach, learn, and make – on an extremely rapid and fairly disorienting basis! We’ve covered these evolutions extensively, but in a space changing this quickly, information deprecates as quickly as last year’s AI models. Accordingly, we’re pleased to announce the first official issue of “The Latest Findings on AI and Learning,” your one-stop source for the latest updates and findings in this dynamic technology space. Releasing each month, this helpful article series will keep you up-to-date with the cutting edge AI-powered instruction. Read on for the latest, and check back each month for more!
Image Credit: Emily Tate Sullivan for EdSurge
As reported by the great minds at EdSurge, a coalition of 19 schools across the U.S. is working together to determine how AI can best support teachers and students in the classroom. This initiative, dubbed the School Teams AI Collaborative, is testing AI in real-world learning environments, helping educators develop strategies for effective integration. In Boston, for example, middle school teachers are using AI to provide personalized feedback on student writing, while students in Denver are programming AI chatbots to assist with research projects. The common thread? Educators are exploring how AI can augment, rather than replace, teaching, keeping learning personal, engaging, and student-centered.
Image Credit: EDUCAUSE
The 2025 EDUCAUSE AI Landscape Study surveyed university leaders across the U.S., and the results make one thing clear: AI is becoming a strategic priority in higher education. In fact, 57% of institutions now consider AI a critical component of their long-term plans, up from 49% from last year. The top concerns? Academic integrity, AI-assisted coursework, and faculty training. However, there’s a growing gap between larger universities with robust AI resources and smaller institutions struggling to keep up. As AI becomes embedded in everything from tutoring to curriculum design, the challenge for higher ed is ensuring that AI access is equitable across all learning environments.
A recent survey of over 1,000 undergraduate students in the UK found that 92% now use AI tools for learning. That’s a dramatic increase from last year, when just 66% reported using AI for coursework. With this report of near-ubiquitous use, the AI learning revolution appears to be fully underway. The most common uses? AI-powered summarization, concept explanations, and idea generation. However, students also expressed concerns about fairness and accuracy, and many felt their universities were lagging behind in providing clear guidelines on AI use. The takeaway? While students are eagerly integrating AI into their learning workflows, institutions need to catch up with support, training, and ethical guidance.
One of the most fascinating AI breakthroughs this month comes from NYU researchers, who developed an AI model that generates entirely new game concepts based on human play patterns. By studying how people invent casual games (like playground activities), the AI can create rules, objectives, and mechanics that feel natural and engaging to human players. In blind testing, players found AI-designed games just as fun as human-made ones. The implications for educational game design are huge—in the future, AI could dynamically create customized, engaging learning experiences tailored to each student’s needs.
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That’s a wrap on this month’s biggest stories in AI and learning! Want to explore game-based learning solutions designed with the future in mind? Get in touch to learn how Filament Games is bringing cutting-edge AI into educational games. See you next month for more insights into the ever-evolving world of learning!