Gamification and Serious Games in Education

AI & Interoperability in School Education: The German Federal Approach Towards an Educational Ecosystem

Training sustainability for the German Armed Forces: The Virtual Learning Environment and its vision, chances and challenges

Combine Individual Skill Development with Organisational Agility: LinkedIn Learning Hub’s AI-Driven Innovations

How AWS Addresses the Digital Skills Gap in Germany with a Unique Ecosystem Approach

AI Driven personlized XR Training

AI agents in the industrial metaverse. From advisor to assistant and supporter with multi-agent systems

AI integration within the Learning Management System

This tutorial offers an insight into the world of digital authenticity and provenance mechanisms. While we have gained experience with analog solutions in the past, our current focus is on the digital level. With the proliferation of social media, deep fakes and disinformation, this topic is becoming increasingly relevant. In this tutorial, we shed light on the role of technologists, the importance of provenance and authenticity in digital media, and discuss technical approaches. Our main focus is on the use of C2PA, not only in the field of images and moving images, but also in other possible applications.

The tutorial is structured as follows:

• Provenance & authenticity: Importance in the context of digital media
• The role of technologists and research in the fight against counterfeiting
• Open standards: Introduction to the Coalition for Content Provenance and Authenticity (C2PA)
• C2PA in video sections: Our experiences with VoD, Dash and Live
• Multilayered areas of application: Where C2PA could play a role alongside image & video media
• Development status and challenges for the application areas of C2PA
• Practical examples of application and case studies on C2PA
• Future developments and trends in digital authenticity

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GenAI Trends in Research & Education (Microsoft Perspective)

Instructors as Innovators: Insights from Creating GenAI-Augmented Learning Experiences

How Gen AI accelerates e-learning with ILIAS

Interoperability in educational content search and matching with AI

Achieving Interoperability in Education: The Schulconnex Standardization Solution

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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