Our advanced AI systems provide adaptive, real-time feedback that is precisely tailored to the individual needs of learners. Through continuous and personalized analysis of learning progress, our products can provide targeted hints and corrections that directly improve understanding and optimize knowledge retention. We are constantly developing this field of research in order to continuously increase the efficiency and accuracy of our educational solutions.

We use advanced algorithms to gain deep insights into learners' knowledge and help them to continuously expand their knowledge. Our research aims to use big data analysis and processing to create precise learning paths that are tailored to the skills and needs of each individual. We are continuously driving this work forward in order to further improve the personalization of learning.

Our AI products encourage learners to set their own goals, plan their learning and reflect on their learning progress. Research focuses on promoting processes of self-regulation and thus empowering learners to actively take control of and optimize their learning process. We are constantly developing these technologies in order to strengthen learners' metacognitive skills.

Our research focuses on the development of advanced AI methods for mapping content to learning objective taxonomies and metadata. By using artificial intelligence, we can precisely classify learning content and link it to relevant learning objectives. This enables targeted and efficient learning path design and improved personalization of educational content. Our aim is to provide learners with optimal support through intelligent structuring and categorization of knowledge and to offer them a tailored learning process.