OATutor revolutionizes personalized education by offering an open-source, adaptive learning platform tailored to every course by utilizing leading edge GenAI research. Whether you're a teacher, researcher, or student, OATutor provides the tools you need to succeed.
OATutor is the first fully open-source adaptive tutoring system, designed to advance research in Intelligent Tutoring Systems (ITS). By providing a Creative Commons-licensed problem library and leveraging Bayesian Knowledge Tracing for skill mastery, combined with built-in A/B testing capabilities, OATutor offers a robust platform for experimentation and analysis, making it easier than ever to innovate and replicate adaptive learning studies.
Built on Intelligent Tutoring System principles, OATutor tailors problem-solving pathways to each student’s unique needs, offering personalized guidance and real-time feedback. We strive to empower teachers to create dynamic, individualized learning experiences, helping students master challenging concepts at their own pace.
OATutor is actively being deployed in partnership with leading educational institutions and organizations to enhance learning experiences. Our current collaborators include:
Take control of your learning with OATutor. Get instant feedback, personalized practice problems, and the support you need to excel in your studies. OATutor adapts to your learning pace, ensuring you build confidence and mastery along the journey.
OATutor is developed by the Computational Approaches to Human Learning (CAHL) Research Lab at UC Berkeley’s School of Education. Led by Professor Zach Pardos, our interdisciplinary team of educators, researchers, and developers is dedicated to advancing the future of education through innovative technology.
