The iMath project aims to develop a new AI-driven tool that supports higher education math students, providing them with a database of resources, hands-on activities, self-evaluation tests on their previous performance.
The iMath Project is addressed to:
- Math lecturers interested in optimization and learning algorithms topics
- Researchers interested in optimization and learning algorithms topics
- Math students at university level interested in improving their math knowledge through the use of a learning environment based on the application of artificial intelligence
Lucami lab is a partner of iMath project to:
- to contribute to engineering students learning optimisation
- to contribute to AI algorithms for student path recommendation
- to engage our students
Invitation
You may experience the iMath driven learning tool by yourself. Please note the project is in development phase and materials are being updated regularly. A registration is mandatory and is available on the link https://edu.living-lab.gr/mathe/MALI_TM.php The first successful logon will guide you to personalised website with links to self-assessment, video lectures and learning materials. The recommended trial scenario should run as follows:
- Take the Self-need assessment link and select a preferred teaching topic and subtopic.
- Answer the quiz questions
- Based on the provided results a set of courseware materials will be suggested to you with the aim to improve your knowledge in the required domains.
- Reevaluate your knowledge.
We will appreciate your response using the provided form.