Development of an online e-learning platform Case Study - Ficus Technologies

End-to-End Development of an online e-learning platform

Development of an online e-learning platform for different categories of learners.
Country
Europe
Industry
Edtech
Timeline
08.2021-05.2023
Project Team
10 specialists

ABOUT PROJECT

Our client is a leading company in the field of corporate training. Their platform revolutionizes enterprise learning by simplifying and speeding up the process. With an e-learning platform, you can create and deliver beautifully designed text-based courses directly to learners through popular chat apps, making learning accessible on the go. The platform uses micro-learning and spaced learning principles, ensuring practical knowledge retention. Interactive exercises can be included within the learner chat client, enhancing engagement and providing real-time statistics on course progress.

85%
Learners complete the courses
97%
Learner satisfaction rate
15
Mins to complete a lesson
8x
Learning curve improvement

THE SPECIALISTS WE WERE WORKING WITH

The firm came to us for outsourcing because they didn’t have an internal department for software development.

PARTNERSHIP GOAL

The client contacted us with the need to develop a universal online learning system that would include teachers’ workrooms with the ability to create new learning materials by groups and educational levels and a multichannel distribution system for learning materials. Thanks to the work of our team, the client successfully ran a multichannel online e-learning platform.

BEFORE
At the beginning of the cooperation, the company had a prototype platform that displayed ready-made lessons in two distribution channels for users.
AFTER
The platform allows users to create and deliver text-based courses through popular chat apps, reaching learners on mobile devices. It provides an advanced course composer and a guided assessment tool, making the course creation process hassle-free. And also supports interactive exercises within the learner chat client, increasing memorability and providing real-time course performance statistics.

THE TECHNOLOGIES WE USED IN THE PROJECT:

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WHAT WE DID

  • Development of the interface of the project for creating educational content.
  • Implemented the ability to deliver educational content to students through various channels.
  • Developed a lecturer’s admin panel.
  • Developed the functionality of analytics of learning outcomes for students.
  • Implemented the functionality of multilingual translation of educational content using a neural network.
  • Implemented connection of third-party services: chatbots, and integration with messengers.

WHAT THE COLLABORATION Process Looks Like

1
Idea discussion
  • We discuss what goals your new software should achieve.
2
Business Analysis
  • We analyze the current processes and needs of your business.
3
Desired State Modeling
  • Our team ensures the improvement of the analyzed process.
4
Solution Design
  • Together, we approve the optimal solution to meet your needs.
5
Architecture Design
  • Our team comes up with how the software will look and operate.
6
Software Development
  • We create a solution step by step with constant quality control.
7
Product testing
  • We do quality manual and automated testing of products.
8
Product release
  • We are ensuring that all stages of development are completed for a successful release.

Implemented Features

Content editor panel

The Content Editor panel for the online education platform provides various features and functions to facilitate the creation and editing of content by teachers. It allows you to create genuinely unique learning materials. Our Content Editor panel has a lightweight editing mechanism compared to other HTML web editors. The editor provides formatting options such as list numbering, bullet selection, symbols, block quotes, horizontal alignment rules, and various media like pictures, documents, and emoticons.

Content editor panel
Translation of content through a neural network

Translation of content through a neural network uses a neural network-based system to convert text or other forms of content from one language to another. This approach utilizes deep learning techniques to train a neural network on large amounts of multilingual data, allowing it to learn the patterns and structures of different languages. By leveraging this learned knowledge, the neural network can generate translations that capture the original content’s meaning and context. Implementing content translation through a neural network can offer several benefits for an online educational platform. It enables the platform to provide multilingual support, allowing students from different language backgrounds to access and understand the learning materials. The neural network-based translation system can automatically process and translate course content, instructional materials, and communication within the platform, facilitating effective communication and knowledge dissemination across language barriers.

Translation of content through a neural network
Yuliia Borodavko

Yuliia Borodavko

Client Engagement Director

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