Prof. Dr. Tim Schlippe, IU International University of Applied Sciences, Germany

Speech Title: Use Cases and Challenges for AI in Education

 

Abstract: Access to education is one of people’s most important assets and ensuring inclusive and equitable quality education is goal 4 of United Nation’s Sustainable Development Goals. The research area “AI in Education” addresses the application and evaluation of Artificial Intelligence (AI) methods in the context of education and training. One of the main focuses of this research is to analyze and improve teaching and learning processes with respect to various challenges such automation, multilinguality, accessibility, explainability, recommender systems, question answering, (semi-)automatic grading, sentiment analysis and many more. In his talk, Prof. Dr. Tim Schlippe will present his research activities in these fields as well as his university's efforts to apply AI to various use cases. IU International University of Applied Sciences is the largest university in Germany with students from all over the world, which has set itself the goal as one of the most modern learning institutions in Europe to offer everyone the opportunity for education.

Biography: Prof. Dr. Tim Schlippe is a professor of Artificial Intelligence at IU International University of Applied Sciences and CEO of the company Silicon Surfer. He studied computer science at Karlsruhe Institute of Technology and did his master's thesis at Carnegie Mellon University. After successfully completing his PhD at the Karlsruhe Institute of Technology, Prof. Dr. Schlippe worked at Across Systems GmbH as a consultant and project manager for several years before founding the company Silicon Surfer. At Silicon Surfer, he develops AI-powered products and services that have social value, e.g., the WaveFont technology which automatically and intuitively visualizes information and emotion from the voice in subtitles and captions. Prof. Dr. Schlippe has in-depth knowledge in the fields of artificial intelligence, machine learning, natural language processing, multilingual speech recognition/synthesis, machine translation, language modeling, computer-aided translation, and entrepreneurship, which can be seen in his numerous publications at international conferences in these areas.

Prof. Dr. Schlippe’s current research interests are primarily in the fields of AI in Education, Natural Language Processing, and Subtitling/Captioning. As IU International University of Applied Sciences grows rapidly, especially in distance learning, he investigates innovative methods such as automatic short answer grading, conversational AI, and gamification, which are then used in practice at IU to provide optimal support to both students and teaching staff.

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