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Decision Support

Personalize

Education - Personalized Learning

General Public

Education - Personalized Learning

For:
Foreign language learners
Goal:
Improved Customer Experience, Increase Revenues
Problem addressed
Personalized learning tailors the pace and focus of instruction to the needs and goals of individual students. As individualizing a curriculum for large numbers of students takes a lot of time and effort, personalized learning is generally supported by technology, much more so than in traditional classrooms.
 
Learning languages is one topic in particular that requires a deep level of immersion. Keeping learners engaged and motivated over extended periods of time can be challenging. While many language learning websites exist, they can often be poorly implemented.
Scope of use case
Keeping foreign language learners engaged with Deep Learning in the Duolingo app.
Description
A number of AI techniques can be employed to enrich the language learning experience, such as gamification for motivation and automatic speech recognition / text to speech for practicing listening and speaking.
 
Duolingo is a personalized language learning app with 500 million registered users and 37 million monthly active users1. It offers 95 courses in 38 different languages. Duolingo employs many different applications of AI from an adaptive placement test, intelligent content delivery based on the concept of “spaced repetition” to maximize learning effectiveness, gamification for engagement and speech processing to bring the application to life.
 
After deploying these deep learning based features Duolingo saw an immediate increase of 2nd day retention of 12%2.
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Raw Data
Audio
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Audio Signal processing
Deep Learning
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Personalize
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