Myriam  Rogahn

Myriam Rogahn

1599360840

Forming Good Learning Habits with Duolingo UX

The first time I learned about Duolingo was through a meme — the one where Duo (the owl mascot), would ‘threaten’ users with passive-aggressive notifications if they didn’t continue using the app.

I didn’t think much of it at the time, but with this year’s turn of events, I decided to learn Japanese on my spare time. It’s been four months since I started, and I’ve observed some design choices that made the learning experience more enjoyable and friendly. I wanted to talk about these design choices and share my thoughts about them.


Using Gamification as a Motivator

Keep the Streak Alive

Streaks are a gamification mechanic that keep track of a user’s daily progress towards a completed action (finishing a lesson). They’re great for habit forming as they provide positive reinforcement for an action, giving the user a sense of achievement.

Duolingo makes it easy to start streaks, as users are able to set their own daily goals; 5 minutes; 10 minutes; 15 minutes per day, and so on. Five to ten minutes per day seems relatively easy compared to taking a weekly hour-long college class — I guess the takeaway from this is to_ break down the task _and make it easier, so that users are less inclined to give up when starting off.

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Streak screen after completing a lesson

One of the things I’ve noticed is that I tend to start passion projects with an excited mindset. I’d start planning out the details and writing down cool things I can do along the way — only to get discouraged when I run into a roadblock. Usually, this leads to throwing out the project because I don’t see instant results.

_Maybe you can relate or experienced this before, but I just wanted to share some encouragement for those who may need it — to not give up on the things you may want to try or start. __Growth doesn’t always come quickly nor dramatically. _Focus on small improvements everyday and after awhile you’ll realize how much progress has been made. Streaks are a strong tool to help you visualize that progress and keep you on track.

Leaderboards, Statistics, and Achievements

These features weren’t too impactful towards my learning experience, but I felt that I should talk about them because they’re some of the main features highlighted by Duolingo.

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#life #ux #personal-development #design #learning

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Forming Good Learning Habits with Duolingo UX
Myriam  Rogahn

Myriam Rogahn

1599360840

Forming Good Learning Habits with Duolingo UX

The first time I learned about Duolingo was through a meme — the one where Duo (the owl mascot), would ‘threaten’ users with passive-aggressive notifications if they didn’t continue using the app.

I didn’t think much of it at the time, but with this year’s turn of events, I decided to learn Japanese on my spare time. It’s been four months since I started, and I’ve observed some design choices that made the learning experience more enjoyable and friendly. I wanted to talk about these design choices and share my thoughts about them.


Using Gamification as a Motivator

Keep the Streak Alive

Streaks are a gamification mechanic that keep track of a user’s daily progress towards a completed action (finishing a lesson). They’re great for habit forming as they provide positive reinforcement for an action, giving the user a sense of achievement.

Duolingo makes it easy to start streaks, as users are able to set their own daily goals; 5 minutes; 10 minutes; 15 minutes per day, and so on. Five to ten minutes per day seems relatively easy compared to taking a weekly hour-long college class — I guess the takeaway from this is to_ break down the task _and make it easier, so that users are less inclined to give up when starting off.

Image for post

Streak screen after completing a lesson

One of the things I’ve noticed is that I tend to start passion projects with an excited mindset. I’d start planning out the details and writing down cool things I can do along the way — only to get discouraged when I run into a roadblock. Usually, this leads to throwing out the project because I don’t see instant results.

_Maybe you can relate or experienced this before, but I just wanted to share some encouragement for those who may need it — to not give up on the things you may want to try or start. __Growth doesn’t always come quickly nor dramatically. _Focus on small improvements everyday and after awhile you’ll realize how much progress has been made. Streaks are a strong tool to help you visualize that progress and keep you on track.

Leaderboards, Statistics, and Achievements

These features weren’t too impactful towards my learning experience, but I felt that I should talk about them because they’re some of the main features highlighted by Duolingo.

Image for post

#life #ux #personal-development #design #learning

Jerad  Bailey

Jerad Bailey

1598891580

Google Reveals "What is being Transferred” in Transfer Learning

Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community — What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question.

The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others.

#developers corner #learn transfer learning #machine learning #transfer learning #transfer learning methods #transfer learning resources

UI/UX Design & Development Company | UI/UX Design Services

UI/UX Design & Development Company

The main factor that defines the success of any mobile app or website is the UI/UX of that app. The UI/UX is responsible for app elegance and ease of use of the app or website.

Want a unique UI/UX designer for an app or website development?

WebClues Infotech has the best UI/UX developers as they have a good experience of developing more than 950+ designs for the customers of WebClues Infotech. With a flexible price structure based on customer requirements, WebClues Infotech is one of the efficient and flexible UI/UX developers.

Want to know more about our UI/UX design services?

Visit: https://www.webcluesinfotech.com/ui-ux-development-company/

Share your requirements https://www.webcluesinfotech.com/contact-us/

View Portfolio https://www.webcluesinfotech.com/portfolio/

#ui/ux design & development company #ui/ux design services #ui ux design company #ui/ux development services #hire ui/ux designers #hire dedicated ui/ux designer

sophia tondon

sophia tondon

1620898103

5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

#machinelearningapps #machinelearningdevelopers #machinelearningexpert #machinelearningexperts #expertmachinelearningservices #topmachinelearningcompanies #machinelearningdevelopmentcompany

Visit Blog- https://www.xplace.com/article/8743

#machine learning companies #top machine learning companies #machine learning development company #expert machine learning services #machine learning experts #machine learning expert

Jackson  Crist

Jackson Crist

1617331066

Intro to Reinforcement Learning: Temporal Difference Learning, SARSA Vs. Q-learning

Reinforcement learning (RL) is surely a rising field, with the huge influence from the performance of AlphaZero (the best chess engine as of now). RL is a subfield of machine learning that teaches agents to perform in an environment to maximize rewards overtime.

Among RL’s model-free methods is temporal difference (TD) learning, with SARSA and Q-learning (QL) being two of the most used algorithms. I chose to explore SARSA and QL to highlight a subtle difference between on-policy learning and off-learning, which we will discuss later in the post.

This post assumes you have basic knowledge of the agent, environment, action, and rewards within RL’s scope. A brief introduction can be found here.

The outline of this post include:

  • Temporal difference learning (TD learning)
  • Parameters
  • QL & SARSA
  • Comparison
  • Implementation
  • Conclusion

We will compare these two algorithms via the CartPole game implementation. This post’s code can be found here :QL code ,SARSA code , and the fully functioning code . (the fully-functioning code has both algorithms implemented and trained on cart pole game)

The TD learning will be a bit mathematical, but feel free to skim through and jump directly to QL and SARSA.

#reinforcement-learning #artificial-intelligence #machine-learning #deep-learning #learning