Proof of concept of an adaptive learning system for engineering students

Purpose and goal:

The aim of the project is to develop an adaptive learning system (ALS) for engineering students, with the aim of improving their productivity, motivation and engagement in their studies. We create a personal tutor, KAI, that adapts to the student´s individual needs and offers an interactive learning experience. By using advanced AI technology and collaborating with student associations and teachers, we aim to increase the throughput and depth of knowledge of engineering students, thereby addressing national educational challenges.

Expected results and effects:

The expected effects and results of the project include increased student engagement and motivation, faster learning and higher throughput. Students will achieve a deeper understanding of the course material, leading to higher score and better well-being. For teachers, this means increased class engagement and insights into student progress with minimal extra effort. Universities benefit from lower dropout rates and improved academic standards, strengthening their reputations and budgets.

Approach and implementation:

The project is divided into four phases. First, the foundations are established with course selection and engagement of key partners. Then the first version of the KAI is developed and tested with feedback from students.

In the third phase, a detailed prototype of the study plan is created with rigorous testing and evaluation. Finally, the study plan is launched operationally and the scalability is assessed. Collaboration with student associations, faculty and AI experts is critical to success, with a focus on ease of use and continuous development.