Artificial Intelligence in Education Technologies: New Development and Innovative Practices

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.Dr. Eric Cheng is a specialist in knowledge management and Lesson Study. He is an Associate Dean of the Faculty of Education and Human Development of the Education University of Hong Kong. He earned his Doctor of Education in education management from the University of Leicester. His research focuses on exploring organizational and technological factors, and management strategies that enable school leaders and teachers to leverage pedagogical knowledge assets. Such leveraging aims at improving student learning and capitalizing on the knowledge assets as school intellectual capital for sustainable development. His publication covers the areas of knowledge management, AI in education school management, Lesson and Learning Study. He is the author and edited author of five academic books. Eric has successfully launched more than 20 research and teaching development projects with external and competitive funds in the capacity of Principal Investigator. Dr. Tianchong Wang is currently a Lecturer, Secondary Teacher Education in the Department of Education at Swinburne University of Technology, Australia. Dr Wang obtained an Ed.D. degree from the Chinese University of Hong Kong, an M.Sc. degree from the University of Hong Kong and a B.A. Hons degree from Hong Kong Baptist University. He has a solid technical background in Information and Communication Technologies (ICTs); he holds several professional qualifications such as MCP, MCSA, MCSE, MCDBA, MCTS, MCITP, ACSP, ACTC and THXCP. He is also a member of IEEE. As an advocate of using digital technologies to enhance education quality and inclusion, Dr Wang’s current research interests include AI in education, blended learning, mobile learning, and digital learning for development. He has been participating in research projects commissioned or supported by international organizations such as UNESCO, IDRC and the HEAD Foundation. He often serves as a resource person for development aid agencies, conducting teacher capacity-building activities in the Global South.

• Part I: Emerging AI Technologies, Methods, Systems, and Infrastructure.- Part II: Innovative Practices of Teaching and Assessment Driven by AI and Education Technologies.- Part III: Curriculum, Teacher Professional Development and Policy for AI in Education.- Part IV: Issues and Discussions on AI In Education and Future Development.