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Education

At VECTOR Labs, we combine our experience and domain expertise to enhance learning, training, and knowledge-sharing processes to build interactive and easy-to-use online educational products.

With our services, we can help you create your digital learning products with the power of a personalised approach, data science, AI, powerful tools, and outstanding learning and engagement tactics.

Solutions for every need

According to the World Economic Forum forecast on the future of jobs, 50% of workers should reshape their professional skills or learn new ones by 2025. We know that gaining new skills, both professional and interpersonal, is essential and having the help of a digital solution makes the process easier and more accessible.

EdTech software has several advantages over other domains, such as low-cost LMS development and customization, easy accessibility, and increased effectiveness. 

We are thrilled to create e-Learning solutions that alter how educational institutions, startups, EdTech content creators, and students teach and learn. We are here to assist you in developing cutting-edge educational software that uses the most recent technological advancements for internationally accessible, enjoyable, and reasonably priced learning using our expertise and analytical experience.

Our experts will create tailored EdTech applications and software for every need. Our clients have used our key capabilities to:

  • Redesign their IT infrastructure and landscape.
  • Make learning more accessible and affordable.
  • Enable remote education.
  • Create a future campus that is digitally safe and secure.
  • Data enablement and digital integration.

Building personalised learning experience

By leveraging advanced technologies, we give our clients the tools to optimise their knowledge management solutions and deliver a personalised learning experience.

Our tech-enabled services can take your ideas forwards, including:

We develop secure and scalable custom products for the needs of your organisation.

  • Integration

We aim to provide flawless data exchange between systems and integrate custom applications with already installed third-party systems.

Using our expertise in the latest technologies in AI, ML, and NLP helps us create winning solutions.​​​

We have created architectures covering multiple data sources, formats and types, including internal ERP data, CRM data, other downstream systems’ data, sensors stream data, and external data.

We have the expertise in all of the above to combine them into a solution that adds value to your company and transforms your business.

Education Case Studies

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Educational gamification platform with mobile applications

Overview: One of our clients, an educational company, wanted to create a platform that would engage children in learning and promote reading habits among them. The challenge was to build a platform that had an exciting UX for the children and a complex back-end with multi-level users. The platform needed to allow children to play Q&A games based on books they had read, compete with other children, leave ratings for the book and communicate among themselves and within a group.

Solution: Our team started by developing the MVP and web version with a smaller team. After successfully completing the MVP, we made several major upgrades and the platform expanded to iOS and Android applications. The development process was intensive and required us to work within tight deadlines. Despite this, we delivered a smooth and efficient platform that worked with thousands of students throughout the country. 

One of the unique features of the platform was the ability for children to play Q&A games based on the books, compete in teams, leave ratings and comments and communicate with teachers, classmates, family members and other users. This not only made the learning experience more enjoyable but also helped to build a community of young readers. Furthermore, the platform functionalities included a virtual payment system with a custom gateway. 

During peak times the platform had over 20,000 users on the site, and it coped with the volume successfully. This was a testament to the scalability and reliability of the platform, which was designed to handle large volumes of traffic.
 

Status: Since the platform’s development in 2019, we have developed multiple upgrades and new modules, as well as mobile applications. Moreover, the clients are more than happy and thankful in partnering with us.

Key Metrics: Our team fully maintained and supported the web and mobile applications for four years, while the books’ questions base grew to over 35,000 questions and 700,000 played Q&A games.

We are proud to have contributed to the education of children through this platform, making learning more fun and interactive. Our team continues to work with the client to improve and enhance the platform in order to keep up with the evolving education industry.

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A platform generating civic education content for teachers

Overview: Our team was approached by a non-profit organization that focuses on improving the quality of civic education in schools across the country. They were looking for a comprehensive platform that would provide teachers and active citizens with working materials for teaching the subject of citizenship education.
 

Challenge: The main challenge was to develop a user-friendly platform that would allow teachers to quickly and easily generate an activity-filled plan for teaching dozens of curriculum topics. We also needed to ensure that the platform complied with the requirements of the Ministry of Education and provided teachers with a comprehensive set of lesson objectives and activities.

 

Solution: Our team developed a resource platform that enabled teachers and active citizens to get a sub-work plan to work on a selected civics topic. We created an intuitive interface for teachers that allowed them to select the audience, choose the section and lesson they wish to prepare, and model how to conduct the lesson. We also included a set of lesson objectives that were compatible with the requirements of the Ministry of Education. Each lesson plan included activity ideas, requirements, and preparation time needed. With the plan thus created, a student sheet could be made. Each teacher was able to see all the generated lessons in their profile.

Results: The Civic Education Platform was successfully developed and launched. The platform received positive feedback from teachers and active citizens who found it to be a valuable resource for teaching the subject of citizenship education. Our team is proud to have contributed to the improvement of civic education in schools across the country.

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Special education learning management system

Overview: One of our clients approached us with the need to develop an innovative and comprehensive educational learning management system. Our team worked closely with them to create a single platform that combines essential features to make it an indispensable tool for educators, parents, and students alike.

The system is designed to provide a seamless and efficient experience for all stakeholders involved in the educational process. Educators can easily track student progress and communicate with parents, while also managing paperwork, tracking special education programs, and implementing the Responding to the Intervention model (RTI).

With the system's advanced functionality, educators can ensure that each student receives the correct level of support, leading to improved learning outcomes. 

Solution: Our team worked closely with the founder of the educational learning management system to fully understand the requirements of educators, parents, and students. We held frequent meetings with the founder to ensure that the platform met their needs and exceeded their expectations. Throughout the development process, we were proactive and inquisitive, asking questions to ensure we were on the right track and providing advice on UX and functionality.

We designed and developed a comprehensive platform that included tailored interfaces for educators and students. The interfaces were designed to meet their specific needs and provide them with a seamless experience. Our team incorporated a wide range of essential features, including progress tracking, parent communication, paperwork management, special education program tracking, RTI model, and Gradebook. We also added additional features like peer assessments for students, Goalbank, and valuable analytical dashboards to provide educators with valuable insights into the performance of their students.

To ensure that the system we built was fully customizable, we utilized Python and Django for the back end, React for the front end and used AWS capabilities. This allowed us to develop a system that could be tailored to the unique needs of each school. Our team thoroughly tested the product at all stages of development to ensure its quality and functionality.

 

Tech stack: Python, Django, React, AWS.

Results: The platform is designed to achieve several goals, including improving student performance, increasing parent engagement, streamlining paperwork management, enhancing personalized learning, and providing valuable data insights.

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Video platform and chatbot for historical education museum

Overview: The Client was in need of our expertise to develop an interactive online platform for historical education centred around the survival stories of prisoners in the concentration camps during the Communist era in Bulgaria. The general idea was to allow the users to have a virtual video conversation with the survivors by asking questions and receiving the

best answer from a pre-recorded set of answers to the most popular questions. They had drawn inspiration from a similar project about stories from Nazi-Germany concentration camps, but they didn't have the technical know-how on how to achieve it. A similar platform can be seen here. We worked in cooperation with multiple teams engaged with filming the interviews, video processing and graphic design.
 

Solution:

Phase 1 - Planning

We started with thorough planning of the questions for the interviews and the recording process since the team had only a couple of days to spend with each person and there was no room for mistakes. Every person had to be interviewed according to a prepared script and asked a very specific list of more than 500 questions such as "What is your name?", "What is your favourite colour?", "What do you remember about World War II?" and others.

Phase 2 - Data preparation

The video post-processing team took the challenging task to cut and edit the raw videos into a set of several thousand video answers. Our job was to categorize all of the video data by a weighted keywords approach and implement an algorithm that would match the keywords in the user question with the categorized answers in the database.

Phase 3: Algorithm development

Taking into account the grammar specifics for the English and Bulgarian languages, we made several configuration iterations to adjust the weights of the keywords and improve the performance of the algorithm. A team of internal and external testers helped to verify the results by trying out a large number of questions with different wording variations. All of the tests were monitored and actively used to constantly improve the algorithm. 

Once the platform recorded enough real-user data, the plan was to introduce an AI language model to allow for even more realistic and insightful conversations with the survivors. We would still use the keyword-matching algorithm to compare and measure the AI model performance, which would need significantly more data than we initially had at the start of the project. 

Phase 4 - Website development

When the algorithm was ready we continued with integrating it into the rest of the platform where users can log in, keep track of previous chat sessions and find out interesting information and facts about that particular historical period for further evaluation.
 

 

Future plans: Once the platform records enough real-user data, an advanced AI language model will be introduced to allow for even more realistic and insightful conversations with the survivors. The weighted keyword-matching algorithm is a good benchmark to compare and measure the AI model performance, which would need significantly more data than we initially had at the start of the project.

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