The Challenge
The client for the project, Halmstad University, previously used an application that retrieved educational programs from its own database. They wanted to change this and hoped to instead use the shared Ladok platform to manage their educational offerings on the website. The challenge was to move from their old system to something new with the requirement that “it should work at least as well as before, if not better.”
Consid had been maintaining the university’s old solution, built in .NET, for several years. This meant that the team had a good understanding of how the previous system worked and could quickly identify areas for improvement.
The Solution
To address the client’s challenges, an automated platform was developed that synchronizes educational data from Ladok to Sitevision. The solution was built using a customized integration in Node.js, where a REST app continuously retrieves and updates educational information in real-time. This made it possible to combine data from Ladok with editorial content.
The design of the educational pages was based on user data collected using the tool Hotjar. By analyzing click and scroll maps, the team was able to understand user behavior and create a more logical and user-friendly structure. An additional improvement was the further development of the AI model Halmstad University used, Rek.ai. The new model optimizes the search on educational pages by providing course recommendations based on the user’s interests and search intentions.