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A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions
- Publication Year :
- 2022
-
Abstract
- Despite artificial intelligence (AI) having transformed major aspects of our society, less than a fraction of its potential has been explored, let alone deployed, for education. AI-powered learning can provide millions of learners with a highly personalized, active and practical learning experience, which is key to successful learning. This is especially relevant in the context of online learning platforms. In this paper, we present the results of a comparative head-to-head study on learning outcomes for two popular online learning platforms (n=199 participants): A MOOC platform following a traditional model delivering content using lecture videos and multiple-choice quizzes, and the Korbit learning platform providing a highly personalized, active and practical learning experience. We observe a huge and statistically significant increase in the learning outcomes, with students on the Korbit platform providing full feedback resulting in higher course completion rates and achieving learning gains 2 to 2.5 times higher than both students on the MOOC platform and students in a control group who don't receive personalized feedback on the Korbit platform. The results demonstrate the tremendous impact that can be achieved with a personalized, active learning AI-powered system. Making this technology and learning experience available to millions of learners around the world will represent a significant leap forward towards the democratization of education.<br />9 pages, 6 figures
- Subjects :
- FOS: Computer and information sciences
Computer Science - Computers and Society
Computer Science - Machine Learning
Artificial Intelligence (cs.AI)
Computer Science - Artificial Intelligence
Computers and Society (cs.CY)
Computer Science - Human-Computer Interaction
I.2.0
K.3.1
K.4.0
Human-Computer Interaction (cs.HC)
Machine Learning (cs.LG)
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....8d34dac9e4792403b93f0f0a44159cbd