Kaśka Porayska-Pomsta is full Professor of AI in Education at the University College London, UCL Faculty of Education and Society, UCL Knowledge Lab. She holds Joint Honours Masters in Linguistics and Artificial Intelligence and a PhD in Artificial Intelligence, from the University of Edinburgh. Kaśka is both an AI engineer and a social scientist, with her research focusing on building AI technologies for human learning, interrogating whether and how AI technologies may be used to support human learning, development, and communication, and generating empirical evidence of the impact of AI in Education.

Throughout her work, Kaśka aims to strike a balance between the needs of learners and practitioners in real world educational contexts and the design and engineering opportunities and constraints related to creating and deploying AI for Education. Diversity, inclusion and trust in the AI technologies represent key themes throughout her research.

As a member of the management committee for the Bloomsbury Centre for Educational Neuroscience, the advisory board for the UCL EdTech Labs, expert committee for the UCL-Amazon Web Services Centre for Data Innovation, jury member for the UNESCO King Hamad Bin Isa Al-Khalifa Prize for the Use of ICT in Education, as well as an associate editor for the International Journal of Artificial Intelligence in Education, among her multiple engagements on the topics of educational technology and responsible AI in Education, she offers transdisciplinary insights that leverage the engineering, the learning sciences, and the ethics of AI in education dimensions across all her work.

Piet Kommers is emeritus professor in the field of media, communication, and education at the University of Twente the Netherlands. Piet earned his Ph.D. at the topic of Conceptual Representations for Learning with Hypertext. He is a visiting professor in several countries. Piet has made significant contributions to the fields of cognitive tools for learning, VR and AI learning environments, and the role of media in communication.

His research has yielded numerous influential publications and has been cited extensively. His work has been recognized globally, earning accolades such as an Honorary Professorship from UNESCO and an Honorary Doctorate from the Capital Normal University in Beijing. Throughout his career, Piet has been actively involved in organizing and speaking at various international conferences and workshops focused on cognitive technologies, educational media, and societal applications of ICT. He has served as a scientific advisor on strategic educational policies at NATO, UNESCO, World Bank and other institutions. He is also the initiator of the International Journal of Web-Based Communities. He has recently published his book:Sources for a Better Education.

Sonsoles López-Pernas is an Academy Fellow at University of Eastern Finland, where she works since 2022 as a member of the Learning Analytics unit. She obtained her PhD in Telematics Engineering at Universidad Politécnica de Madrid (Spain). Her research interests are learning analytics and artificial intelligence in education as well as game-based learning. She is skilled in quantitative methods that include process and sequence mining, network analysis, and data visualization. Tha majority of her publications are in the fields of learning analytics and education technology.

Csilla is an economist with a PhD in educational science and she is the leader of the CEE Education and Skills Team of PwC. She has a close to 20 years’ experience in the education sector. She worked in university management and then for 10 years in the central government she was responsible for the development of e-services within the higher education sector. In PwC she and her team leads projects that support the digital transformation of education institutions while promote the learning of job-ready and future-ready competences for students.

María Guijarro Sanz is a professor and cognitive linguist at Universidad Complutense de Madrid. Her doctoral research focused on language teaching. This involved empirical research and the development of both online and in-person interactive pedagogical materials. Over the past decade, she has dedicated herself to designing learning experiences using digital tools. Additionally, she works as a neuroeducation consultant for private companies, advising them on how to apply cognitive learning principles to their training programs, regardless of the subject matter.

Prof. Dr. György Molnár, Professor, former Dean of the Kandó Kálmán Faculty of Electrical Engineering at Óbuda University, Head of the Trefort Ágoston Engineering Pedagogical Centre, senior expert and current professional developer of OH. Professor at Széchenyi István University. Electrical engineering teacher, biomedical engineer, Doctor of Education (PhD.), public education leader-certified teacher, active member of several scientific and professional committees (MTA, MAB, SZIT, MPT, HERA, IKT). Bolyai János and ÚNKP Research Fellow and Master Teacher Gold Medallist. Active member of several national and international scientific organisations.

Since 2001, he has been continuously involved as a university lecturer in teaching and research issues in the higher education system. In addition to her core ICT-based research topics, she has been involved in the role of informatics and engineering education, methodological and technological innovation in vocational education and training, and the use of digital pedagogy, experiential pedagogy and artificial intelligence, which have also given her the opportunity to research new modern, atypical and electronic teaching-learning pathways.

Dr. Enikő Nagy is an accomplished engineer, educator, and associate professor with over 25 years of experience in the field of computer science education. She holds a degree in IT, English, and Computer Science Teaching from the University of Miskolc in Dunaújváros and furthered her education with a postgraduate course in England through a Tempus grant. She earned her doctoral degree from the University of Pécs in 2014. Throughout her career, Dr. Nagy has taught at all levels of education, from primary schools to universities, including significant roles at the University of Pécs and currently at Óbuda University, where she focuses on robotics in education, databases, and enterprise information systems. Her international teaching experience spans several countries, including England, Belgium, Slovakia, and Uganda, and she has a strong commitment to lifelong learning, as evidenced by her recent training at Oracle Academy.

Dr. Nagy's extensive career includes roles in both public education and higher education. She has contributed to curriculum development, thesis supervision, and served on final examination boards. As a researcher, her work has concentrated on theoretical computer science, data processing, educational robotics, and the application of IT in various sectors. In addition to her academic roles, she has worked on IT development projects, focusing on design, coordination, and implementation tasks that align with business opportunities. Her dedication to education extends to private tutoring, where she helps students with individualized IT learning needs, and her professional experience is further enriched by her involvement in international education and research collaborations.