An online course with an AI tutor achieves a significantly higher completion rate than traditional online courses thanks to a personalized learning experience. Does Artificial Intelligence enable quality education for everyone? Artificial Intelligence can revolutionize education: Instead of mass teaching, AI tutors could provide personalized, active and hands-on learning experiences. This can be a useful complement to the crowded classroom, the dry lecture, and especially in combination with online courses, which are used by millions of people around the world to learn every day. The latter scenario in particular plays a central role in the plans of learning platform startup Korbit, as only a small portion of humanity has access to quality education.

An online course with an AI tutor achieves a significantly higher completion rate than traditional online courses thanks to a personalized learning experience. Does Artificial Intelligence enable quality education for everyone? Artificial Intelligence can revolutionize education: Instead of mass teaching, AI tutors could provide personalized, active and hands-on learning experiences. This can be a useful complement to the crowded classroom, the dry lecture, and especially in combination with online courses, which are used by millions of people around the world to learn every day. The latter scenario in particular plays a central role in the plans of learning platform startup Korbit, as only a small portion of humanity has access to quality education.

We investigate how automated, data-driven, personalized feedback in a large-scale intelligent tutoring system (ITS) improves student learning outcomes. We propose a machine learning approach to generate personalized feedback, which takes individual needs of students into account. We utilize state-of-the-art machine learning and natural language processing techniques to provide the students with personalized hints, Wikipedia-based explanations, and mathematical hints. Our model is used in Korbit, a large-scale dialogue-based ITS with thousands of students launched in 2019, and we demonstrate that the personalized feedback leads to considerable improvement in student learning outcomes and in the subjective evaluation of the feedback.

We present Korbit, a large-scale, open-domain, mixed-interface, dialogue-based intelligent tutoring system (ITS). Korbit uses machine learning, natural language processing and reinforcement learning to provide interactive, personalized learning online. Korbit has been designed to easily scale to thousands of subjects, by automating, standardizing and simplifying the content creation process. Unlike other ITS, a teacher can develop new learning modules for Korbit in a matter of hours. To facilitate learning across a widerange of STEM subjects, Korbit uses a mixed-interface, which includes videos, interactive dialogue-based exercises, question-answering, conceptual diagrams, mathematical exercises and gamification elements. Korbit has been built to scale to millions of students, by utilizing a state-of-the-art cloud-based micro-service architecture. Korbit launched its first course in 2019 on machine learning, and since then over 7,000 students have enrolled. Although Korbit was designed to be open-domain and highly scalable, A/B testing experiments with real-world students demonstrate that both student learning outcomes and student motivation are substantially improved compared to typical online courses.

Machine learning doesn't have to be hard. With Korbi's help, you'll breeze through the content and solve challenges at your own pace. After completing the course, you'll obtain a certificate that proves your skills to eager employers looking for talented ML developers. The only prerequisite for the course is basic knowledge of calculus, linear algebra and statistics. No programming experience is required.