LearnEasy

A gamified machine learning solution for learning

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Inspiration

Having talked with Kaltura content manager for large organization, a huge problem is how to get employees’ engagement across the company and how to create a learning culture inside the company. Videos are often hard to find and there is no recognition for an employee in watching a video on Kaltura during the working hours. We are proposing an innovative and easy way of using already existing corporate videos. Content managers will have a very easy process to reach users; at the same time, we offer a staggering gamified experience for employees and offer clear rewards and recognitions for their time spent learning.

What it does

Our tool uses videos on Kaltura and allow to create rewarding games. The content manager of a company can create learning paths for different topics. Users’ knowledge on a specific is tracked through a growing bar. A self-explained guide helps to simplify the process.

How we built it

This project is build as HTML website using PHP and JavaScript. The videos and thumbnails are requested via PHP and JavaScript API from the Kaltura Server.

We have built LearnEasy in two direction: we worked on the front-end of the prototype and we designed a basic back-end to import videos, in order to be able to show the potential of the idea. We integrated with Kaltura structure and designed to make it very easy for content and training manager to add new levels and “gamified” videos. On top, we developed a machine learning strategy to design a personalized recommender of videos, even though due to the time-constraint, we couldn’t implement for the MVP.

Business Model

B2B Solution for existing Kaltura customers, selling package integration services based on a monthly subscription model (based on # of employees).

Challenges we ran into

Kaltura is a “non-standard” tool: in fact, it is used for different purposes in tools such as youtube and coursera, where the willingness of the user to watch a video is clear. In Kaltura, especially among corporate companies, users need to be engaged and motivated to learn and develop their skills through Kaltura.

Accomplishments that we're proud of

We were able to speak with a couple of Kaltura users’ and get their feedback on our vision: we believe that having an understanding of the problem up-front from real users can bring a lot of added value.

What we learned

  • Kaltura has a great potential but at the moment its full potential is not yet exploited.
  • Think carefully about the problem, and then build a product on top.
  • No matter how big is a certain problem: in 24 hours and with a clear project scope, a basic MVP of your idea can be - created.
  • Gamification enhances motivation and creates emulation and collaboration

What's next for LearnEasy

We need to implement it with beta users, get more feedback and add new functionalities. Ideally, we should monitor user's’ interaction before and after the implementation and understand if there is a significant change in users’ engagement and retention over time.

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