University of Siegen, Germany
Hasan is a research associate, currently working at the institute of Knowledge Based Systems and Knowledge Management, University of Siegen. His main field of research is technology enhanced learning, utilizing different technologies such as knowledge graphs, explainable AI (XAI), recommender systems and conversational agents (Chatbots) to develop explainable decision-support systems for educators and learners.
University of Siegen, Germany
Christian Weber is a substitute professor at the chair for Medical Computer Science with the Focus on Mobile Health Information Systems and a postdoctoral researcher with the Institute of Knowledge-Based Systems and Knowledge Management (KBS & KM), University of Siegen, Germany. He is continuously researching the extension and exploitation of evolving, semantically enhanced knowledge maps for ongoing industrial, educational, and medical digitalization using AI and is active for that in national and international funded research projects (DFG, BMBF, H2020, Erasmus plus, and many more), industrial collaborations. Furthermore, he heads the intelligent infrastructure division of the interdisciplinary and inter-university research group “digital practice”, located within the faculty of life science at the University of Siegen, researching novel digital medicine and medical digitalization approaches and applications under the concept of international and medical data spaces with integrated mobile, digital twins. He heads funded research projects at the intersection of computer science, medicine, education, and manufacturing and carries the strong belief that any digital solution always needs a human factor.
University College London, United Kingdom
Prof. Mutlu Cukoruva is a professor of Learning and Artificial Intelligence
IOE - Culture, Communication & Media. He investigates the potential of analytics and artificial intelligence solutions to support human learning. His primary research interest lies in enhancing individuals' ability to learn how to learn and solve complex problems collaboratively. On a broader scale, his work aims to address the critical socio-educational challenge of preparing people for a future alongside AI agents, where skills beyond the routine cognitive abilities currently emphasized by many education systems will be essential.
The University of Queensland, Australia
Dr. Hassan Khosravi is an Associate Professor in Data Science and Learning Analytics at The University of Queensland. As a computer scientist by training, he is passionate about the role of artificial intelligence in the future of education. In his research, he draws on theoretical insights driven from the learning sciences and exemplary techniques from the fields of human-centred AI and crowdsourcing to build technological solutions that enhance student learning and experience. His past research and publications have addressed a number of diverse topics such as learning graphical models, statistical-relational learning, social network analysis, cybersecurity and game theory.
Utrecht University, Netherlands
Dr. Jeroen Ooge is an assistant professor at Utrecht University. His research is situated in human-computer interaction, which investigates how people interact with technologies. Dr. Ooge is specialised in human-centred explainable artificial intelligence, which studies how outcomes of AI models can be explained to different audiences in different contexts; for example, teenagers in an educational context. He is interested in how transparency affects people's trust in AI models, how it supports people's decision-making, whether it improves people's understanding of AI models, etc. with particular focus on studying how data visualisation can help in this endeavour.