A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
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Abstract (arXiv)
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.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 May 2020.
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Citing papers per year: 2021: 2; 2022: 3; 2023: 1; 2024: 1; 2025: 2.
9 papers.
- 2021Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systemscited by 8
- 2025Opportunities and Challenges of LLMs in Education: An NLP Perspectivecited by 6
- 2022A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millionscited by 3
- 2023ML-Based Teaching Systems: A Conceptual Frameworkcited by 3
- 2024Transferring Domain Knowledge with (X)AI-Based Learning Systemscited by 3
- 2021Comparative Study of Learning Outcomes for Online Learning Platformscited by 2
- 2022Raising Student Completion Rates with Adaptive Curriculum and Contextual Banditscited by 1
- 2022Question Personalization in an Intelligent Tutoring Systemcited by 0
- 2025PAPPL: Personalized AI-Powered Progressive Learning Platformcited by 0
- 2025PAPPL: Personalized AI-Powered Progressive Learning Platform18 Aug 2025
- 2025Opportunities and Challenges of LLMs in Education: An NLP Perspective30 Jul 2025
- 2024Transferring Domain Knowledge with (X)AI-Based Learning Systems3 Jun 2024
- 2023ML-Based Teaching Systems: A Conceptual Framework12 May 2023
- 2022Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits28 Jul 2022
- 2022Question Personalization in an Intelligent Tutoring System25 May 2022
- 2022A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions3 Mar 2022
- 2021Comparative Study of Learning Outcomes for Online Learning Platforms15 Apr 2021
- 2021Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems13 Mar 2021