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MathGPT.ai adds Moodle integration, expanding its support to all leading LMS platforms in higher education. The post MathGPT.ai™ Adds Seamless Moodle Integration, Expanding Its Support Across Leading Higher Education LMS Platforms appeared first on MathGPT.ai .
When NOVA math instructor Teresa Overton piloted MathGPT.ai, student grades improved after the very first exam. By spring, her classes logged over 1,500 tutoring sessions — nearly double the fall volume. Discover how on-demand AI tutoring is reducing instructor workload and moving the needle on student success at a large open-access institution. The post This Professor Switched to MathGPT.ai—Her…
MathGPT.ai is committed to meeting modern accessibility standards for equitable learning so that all students have an equal path to success in their studies. The post MathGPT.ai: Accessible by Design appeared first on MathGPT.ai .
Empowering Today’s Higher Education Math Faculty As a higher education math instructor, you’re constantly balancing course rigor with the diverse support needs of your students–all while managing the administrative weight of assignment creation, grading, and curriculum transitions. What if you could reclaim your time while simultaneously offering your students an infinitely patient, personalized…
As teens increasingly turn to AI chatbots for nonjudgmental companionship, new concerns about digital safety and mental health are emerging. Discover the hidden risks of unregulated AI and learn why implementing strict guardrails—like those used by MathGPT.ai—is essential to protect young users while providing a safe, supportive learning environment. The post Why Teens Open Up to Bots—and Why…
Yuvraj Khanna, Raghav Rastogi, Dhruv Kumar, Peter Relan, Hung Tran MathGPT AI R&D Introduction When math has to deal with language we have found a fascinating way to encode words as numbers, but when language has to deal with math, how good is it? At MathGPT.ai, our R&D team has spent over two years working […] The post Are the best Open Source models (Qwen, Phi, Nvidia, DeepSeek) robust…
When I was a math tutor at The University of Iowa’s graduate school, I noticed something deeply concerning yet common: most students weren’t struggling because they lacked ability—they simply needed a different kind of support. They’d turn to resources that spit out answers without clarifying the underlying concepts, leaving them stuck in a cycle of […] The post From Tutor to Founder: Why I Built…
Yuvraj Khanna, Raghav Rastogi, Dhruv Kumar, Peter Relan, Hung Tran MathGPT AI R&D Introduction This is the 4th blog in our series of examining recall vs mathematical reasoning in LLM’s. Building on our previous blog, we are going to compare the performance of the OpenAI’s o1 model with DeepSeek R1 and 6 and models distilled […] The post Comparing DeepSeek’s R1, 6 Models Distilled from R1, and…
Yuvraj Khanna, Raghav Rastogi, Dhruv Kumar, Peter Relan, Hung Tran MathGPT AI R&D In our earlier research, “Exploring the Limits of Reasoning vs. Recall in Large Language Models: A Case Study with the MATH dataset,” we uncovered a critical weakness in advanced language models. While these models showcase impressive abilities, we have found that they […] The post Exploring the Limits of Reasoning…
Yuvraj Khanna, Raghav Rastogi, Dhruv Kumar, Peter Relan, Hung Tran MathGPT AI R&D In “our previous paper“ “Exploring the Limits of Reasoning vs. Recall in Large Language Models: A Case Study with MATH,” we unveiled a critical insight into the current capabilities of advanced language models. Our research exposed a fundamental weakness: these frontier LLM’s often rely […] The post Exploring the…
