CategoriesDigital learningEducation

What Duolingo taught me


I consider Duolingo he best learning application available on the market to date. I have been using for quite almost 4 months and I thought it is useful to write down the reasons why I consider it to be an outstanding mobile-first learning app. I think all educational developers and instructional designers should take inspiration from Duolingo much as possible.  The reason is the combination of some important elements.

  • It's a mobile native application: it's thought as a mobile-first application, it offers also a desktop web version although 80% of users are mobile.
  • It uses gamification elements: it uses a structured learning plan divided into several learning stages which the user has to unlock progressively. For each level completed experience points are awarded. The app allows to compare the experience points collected periodically with other friend users.
  • It's free of charge and is ad-free.
  • It's fully adaptive to the learner. A opening test at the beginning of each course determines the level of expertise in the language. That influences the entire course.
  • Reinforces learning: it uses strength bars which decrease without constant training. In this way it encourages the user not to give up and learn more.
  • The GUI is well designed: the options are minimalistic and seamless.
  • It uses crowdsourcing: to earn money it asks the users to translate documents and review other translations. Crowd translation is not only a smart business model but is also the most reliable way to elicit ground truth.

Published by Daniele Di Mitri

Daniele Di Mitri is a research group leader at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.

Leave a Reply

Your email address will not be published. Required fields are marked *