In the rapidly evolving landscape of educational offerings, new demands are being placed on educational ecosystems, interoperability, and compliance with GDPR. This tutorial will discuss approaches and share best practices for building educational ecosystems that not only address these emerging challenges but also encompass critical themes such as scalability, adaptability, and learning analytics.
We will explore the fundamental standards LTI vs. cmi5, Common Cartridge, and xAPI, and their significance for the integration and interoperability of learning systems. Our goal is to equip you with the insights needed to create robust educational frameworks that meet contemporary needs.
The tutorial is structured as follows:

1. Introduction to Learning Technologies: Overview of the role of technologies in education and the necessity of standards.
2. Educational Ecosystems – Best-of-Suite vs. Best-of-Breed: Discussion of the advantages and disadvantages of these approaches in shaping learning environments.
3. Interoperability – Specifications and Standards: Examination of relevant standards and their impact on the integration of learning systems.
4. The Role of Middleware – Use-Cases: Analysis of how middleware enhances interoperability, supported by a demo for illustration.

Join us to expand your knowledge of the technologies that are shaping the future of learning!

In education, artificial intelligence is enabling a profound transformation. This tutorial offers you a comprehensive insight into the world of AI-powered education and shows how these technologies can be used to create personalized learning experiences. AI’s ability to analyze and adapt learning processes offers new ways to meet individual educational needs. Find out how you can use AI to make education more efficient and accessible. Immerse yourself in the future of educational technology and discover how AI is fundamentally changing the way we learn.

Our tutorial is structured as follows:

1. • AI in education: Discover how AI is redefining learning methods and enabling innovative educational solutions.
   • Personalized Recommendations: Learn how AI-based systems provide tailored course recommendations.
   • Learning Analytics: Incease learning success and optimize education through data-driven insights.
   • LLMs: Use large language models to make learning more efficient and effective.
   • Integration in LMS: Find out how AI can be effectively integrated into learning management systems.

We look forward to discussing and exploring the possibilities of AI in education with you.

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The Learning Tech Night will take place at TROFEO, within walking distance of Fraunhofer FOKUS. More details will be announced on the LTS.

Tickets are available at the registration desk (while supplies last) when you check in at Fraunhofer FOKUS for the Learning Technology Symposium on the morning of the event.