A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
| Autor: | Iulian Vlad Serban, Aaron Courville, Dung Do Vu, Robert Belfer, Joelle Pineau, Ekaterina Kochmar, Laurent Charlin, Varun Gupta, Yoshua Bengio |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
G.4 I.2.0 I.2.1 I.2.7 K.3.1 Computer Science - Machine Learning Computer science Computer Science - Artificial Intelligence Interface (computing) Personalized Computer Science - Human-Computer Interaction Cloud computing Intelligent tutoring system Personalized learning computer.software_genre Article Human-Computer Interaction (cs.HC) Machine Learning (cs.LG) Interactive Learning Data science Computer Science - Computers and Society Dialogue-based tutoring system Computers and Society (cs.CY) Reinforcement learning ComputingMilieux_COMPUTERSANDEDUCATION Computer Science - Computation and Language Multimedia business.industry Deep learning Natural language processing Content creation STEM Artificial Intelligence (cs.AI) Interactive learning Artificial intelligence business Computation and Language (cs.CL) computer |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030522391 AIED (2) Artificial Intelligence in Education |
| DOI: | 10.17863/cam.53793 |
| Popis: | 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. 6 pages, 1 figure, 1 table, accepted for publication in the 21st International Conference on Artificial Intelligence in Education (AIED 2020) |
| Databáze: | OpenAIRE |
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