This is exemplified by a field study that randomized college classes to either active or passive learning. The fluency heuristic leads to an ironic situation whereby the more you’re actually learning, the harder it feels - and thus the less you think you’re learning. This might lead to conflict in terms of designing learning experiences. If it feels easy, you must have learned a lot but if it feels hard, you must have not learned so much. The idea is that you base your perceived learning on how easy it feels when you learn. One explanation of this involves fluency. Similarly, student evaluations of perceived learning in college classes don’t meaningfully correlate with actual performance. This is not awful, but closer to 0 than to 1! For comparison, perceived learning correlated much more strongly with motivation to learn (.59) and satisfaction with learning (.51). 34 between actual and perceived learning. This meta-analysis found a correlation of. Perceived learning is very different from actual learning.

To learn a language, Duolingo argues, consistency is key-so we took a look at the science behind language learning. Haven’t heard the Duolingo episode on our new podcast, The Science of Change? Listen here! A collection of research on language learningĭuolingo is a popular language-learning app and website, well-known for its supportive, engaging and slightly addictive behavioral design strategies. For listeners who want a deeper dive into the behavioral science behind each episode, we’ve compiled and summarized the most relevant research here. On this episode of The Science of Change, host Kristen Berman talks with with Duolingo’s Head of Product Management Cem Kansu to talk about the ways this amazing app keeps people engaged and learning. The Science Behind the Science of Change: How the Duolingo App Approaches Language Learning

Duolingo app