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公司:duolingo

关联话题: 多邻国

多邻国(英语:Duolingo;/ˌdjuːoʊˈlɪŋɡoʊ/ DEW-oh-LING-goh)是美国一个语言学习网站及应用程序。该公司以免费增值模式营运:网站及应用程序皆免费使用,但也有提供付费升级版本。

截至2021年6月,多邻国提供了40种语言共106种的语言课程,也有许多语言课程正在开发中。

How a sense of urgency leads to growth at Duolingo

These are the 5 principles that guide Duolingo's growth strategy!

A little spring cleaning: reducing the app size by 20%

Our app size had steadily increased since 2020 at roughly 50MB per year. It was time for some spring cleaning!

How Duolingo uses AI to create lessons faster

Duolingo's human teaching experts are using AI to make new lessons faster than ever!

平原期实现4年内DAU增长4.5倍,Duolingo是如何做到的?

已经有很多产品从 Duolingo 身上汲取了灵感。

Meaningful metrics: How data sharpened the focus of product teams

Our Data Science team developed a growth framework that helped to grow DAUs by 4x since 2019. Let’s explore the path that led us to that framework, aka The Growth Model!

Meaningful metrics: How data sharpened the focus of product teams

Our Data Science team developed a growth framework that helped to grow DAUs by 4x since 2019. Let’s explore the path that led us to that framework, aka The Growth Model!

Interning with Duolingo: bringing our characters to a new dimension

We love our summer interns, and we’re particularly proud of our Thrive Program, an 8-week program that provides second-year students from communities underrepresented in tech the chance to develop their technical skills and experience life at Duolingo.

Our Thrive interns always get to work on incredibly impactful projects, and their work lives on long after they leave! Meet Monica, whose work with the art and design team included bringing a brand-new animation technique to the company!

How Duolingo’s AI Learns What You Need to Learn

The AI that powers the language-learning app today could disrupt education tomorrow.

How does Duolingo evaluate effectiveness?

Duolingo wants their learners to gain the skills they need to communicate in a new language. Here's how they evaluate the app's effectiveness!

Art meets technology: the next step in bringing our characters to life

The Duolingo cast now lip syncs along during your lessons!

Giving our characters voices

Learn more about how we’re creating custom text-to-speech voices for all of our characters.

Building character: How a cast of characters can help you learn a language

We designed a set of characters that our global community of language learners would feel motivated by – and hopefully fall in love with.

The Duolingo CEFR Checker: An AI tool for adapting learning content

This text adaptation task poses a difficult challenge for us in efficiently producing accessible content for learners from many levels—not only for our Stories, but also for Podcasts and other features across Duolingo products. So, we’ve built semi-automated machine learning systems to aid in our content creation process targeting various language proficiencies, as measured by the CEFR standard. In particular, we’ve built the CEFR Checker to help transform and check that content across languages appropriately targets beginner, intermediate, and advanced learners. Today, we’re making this tool available to language educators and the general public as well! Its use and methodology are described in some detail below.

Duolingo设计总监刘尧:当招聘设计师时,我在想什么?

多邻国相比上面两家公司是另外一个思路,Uber 能走多远,取决于线下运营,但多邻国不一样,多邻国的产品都是线上的。所以设计在产品里的优先级与重视程度也是不一样的。我们现在大概有 10 个产品设计师,概念与 Uber 的产品设计师定义一致,2-3 个插画师(这是多邻国产品本身属性造成的结果,因为当初决定走插画路线),一个动效设计师(帮助插画师把插画动起来)。多邻国产品主要注重游戏性,游戏界面,包括机制,而动效在游戏中是很重要的。

How Duolingo uses AI in every part of its app

Language learning has surged during the pandemic. Duolingo, which is synonymous with gamified language learning, saw its fastest growth period this March, with a 101% global increase in new users. From those who simply have more time on their hands to students trying to keep up during the pandemic school year, the app is a huge boon. All that extra data isn’t going to waste — because Duolingo invested early in AI, the app keeps getting better as it grows beyond the 30 million monthly active users reported in December 2019.

How we're improving Duolingo's course creation process

At Duolingo, we believe it’s important to use data to drive our decisions. This includes decisions about how best to teach languages. You probably aren’t thinking about it while you’re doing your daily Spanish lessons, but in the background, we have dedicated teams of volunteers and staff working on improving the courses we teach you and developing new versions of the courses, which we call “trees”. Once these trees are done, we release them as A/B experiments to a portion of learners and track the impact on engagement with the app. This lets us ensure that the changes we made would actually be beneficial to the learning experience on Duolingo.

However, one downside to this approach is that it is a very retrospective measure: it gives us information on how a tree performed after we have finished making changes. But what if we wanted to see how we’re doing on improving a course while we’re still working on it?

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