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All-in-one Learning Platform, Gauth, Launches User-Generated Education
PRNewswire

All-in-one Learning Platform, Gauth, Launches User-Generated Education

Publish date: 01 Sep 2026

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Gauth debuts over 200 AI math courses covering Algebra I through AP Calculus, plus a feature that lets students build and share their own lessons

SINGAPORE, Sept. 1, 2026 /PRNewswire/ -- Gauth, the all-in-one study platform, today announced the full launch of Gauth AI Course on web and in-app, timed to back-to-school season. The launch includes a library of more than 200 AI-powered math courses spanning every U.S. high school math topic, from Algebra I through AP Calculus, and a new capability that lets students generate their own courses on any topic they choose. Studies show that around 60% of students prefer visual learning, a share that rises in STEM fields. The new math courses are designed for these learners, turning complex math concepts into intuitive visual experiences.

Gauth AI Course
Gauth AI Course

Since launching in 2020, Gauth has established itself as one of the world's most widely adopted educational apps, surpassing 200 million downloads and supporting a global community of students and lifelong learners. Math is the most-requested subject worldwide, accounting for 40.52% of student queries in the U.S. and 42.71% globally. Within math, algebra accounts for 64.3% of US queries and 62.8% globally.

AI Course is built to make abstract math concrete. Each lesson breaks a complex idea into highly contextualized visuals and explains it through examples, then reinforces it with mindmaps, frameworks, and quizzes for active recall. A built-in AI Tutor lets students pause mid-lesson to ask questions or go deeper without losing their place.

The launch also marks the arrival of user-generated education. The UGC feature enables students to personalize their lessons, study at their own pace, and direct exactly how they want to learn a subject. The courses can then be shared with classmates, turning every student into a potential course creator.

As highlighted in recent coverage by Forbes, this approach reverses the traditional economics of course creation—instead of building one course for thousands, Gauth enables millions of personalized courses, each designed for an audience of one. The feature has already resonated with students like Emily Peraza, a college senior who used AI Course to master the Krebs cycle for the MCAT: "I'm a really visual learner, so a wall of text on something abstract is hard for me to hold onto. The thing I could never get was a way to actually watch the pathway unfold at the level I needed."

"At Gauth, we know learning isn't a one-size-fits-all experience so instead of asking millions of learners to fit into the same course, AI Course lets each student generate one designed specifically for them. It's a new model that shifts students from consuming education to creating a learning experience that matches their own curiosity, skill level, and goals, making learning more effective and fair," commented Alan Wang, CTO at Gauth.

By continuously improving its self-developed models, model access, and learning pathways, Gauth reshapes education infrastructure and significantly improves the effectiveness and fairness of education. Gauth AI Course is available now on the web at gauth.com/course and in the Gauth app on iOS and Android.

About Gauth

Gauth is an industry-leading all-in-one AI learning platform. Purpose-built for education, Gauth provides deep conceptual understanding and connects users with expert resources to solve complex academic challenges. For more information, please visit Gauth's official website and its TikTok.


Sources:

Source: Alwawi et al., BMC Med Educ 2026; 58.9% of 462 university students preferred visual learning, with higher rates in medical (63.1%) and scientific (62.1%) vs. humanities (50.3%) disciplines. https://pmc.ncbi.nlm.nih.gov/articles/PMC13005565/

Source: Jawed et al., Comput Intell Neurosci 2019, citing research that ~65% of the population are visual learners. https://pmc.ncbi.nlm.nih.gov/articles/PMC6513874/


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