Keynote speakers

John Traxler Professor of Digital Learning FEHW (Faculty of Education Health & Wellbeing)

Biography

John Traxler, FRSA, is Professor of Digital Learning in the Institute of Education at the University of Wolverhampton and UNESCO Chair: Innovative Informal Digital Learning in Disadvantaged and Development Contexts. He is a Founding Director of the International Association for Mobile Learning. He is co-editor of the definitive, Mobile Learning: A Handbook for Educators and Trainers, and of Mobile Learning: the Next Generation, available in Arabic, of Mobile Learning and Mathematics, Mobile Learning and STEM: Case Studies in Practice, Mobile Learning in Higher Education: Challenges in Context, and Critical Mobile Pedagogy, and many keynotes, panels, papers, articles and chapters on all aspects of learning with mobiles. His journal papers have been cited over 9000 times and is in the top 2% in his discipline. He has worked on many digital learning projects and missions. He has been responsible for large-scale mobile learning implementations, small-scale mobile learning research interventions, capacity building, major evaluations, landscape reviews, and curriculum development.He has extensive experience developing e-learning and mobile learning capacity amongst university teachers. Over the last five years, he has become involved in policy and strategy. He is a frequent international keynote speaker, and has worked with a number of international agencies and international corporates.

Title

The new normal: Innovative informal digital learning after the pandemic

Details

The global pandemic has led to a ‘pivot’ to digital learning in many sectors of many countries, in schools, colleges and universities. My work with the UK Edtech Hub, British Council and Commonwealth of Learning suggests this response to the pandemic has been pedagogically conservative within those schools, colleges and universities, and furthermore may be increasing digital divides and educational disadvantage for those individuals, communities and cultures that are ignored, oppressed or poorly served by those schools, colleges and universities. My research explores in which innovative informal digital learning can help and support.

 

Mirjana Ivanovic  Full Professor at Faculty of Sciences, University of Novi Sad, Serbia

Biography

Mirjana Ivanovic holds the position of Full Professor at Faculty of Sciences, University of Novi Sad, Serbia. She is a member of National Scientific Committee for Electronics, Telecommunication and Informatics within Ministry of Education, Science and Technological Development, Republic of Serbia. She was a member of University Council for Informatics for more than 12 years. Prof. Ivanovic is author or co-author of 14 textbooks, several international monographs and more than 450 research papers, most of which are published in international journals and conferences. Her research interests include agent technologies, intelligent techniques, applications of data mining and machine learning techniques in medical domains and technology enhanced learning. She is member of Program Committees of more than 300 international conferences, Program/General Chair of several international conferences, and leader of numerous international research projects. Mirjana Ivanovic delivered several keynote speeches at international conferences and visited numerous academic institutions all over the world as visiting researcher (Germany, Slovenia, Australia, China, Korea). Currently she is Editor-in-Chief of the Computer Science and Information Systems journal.

Title

AI-based Approaches in Processing Big Data in Precision Medicine

Details

In modern dynamic, constantly developing society more and more people suffer from chronical and serious diseases. Accordingly, world renowned health big players and stakeholders have been recognized importance of development of appropriate services to help patients suffering from different kinds of diseases but also to old/desabled people in making their lifes bearable and easier. For such support collection of huge amounts of patient’s complex big data (like clinical, environmental, nutritional, everyday activities…) is needed. It is necessary to properly aggregate such data, analyze it and present to the doctors/caregivers to recommend adequate treatment and actions to improve patient’s health related factors and status. The intention of this presentation is to give a brief summary on modern approaches in gathering, processing, and using huge amounts of data in precision medicine influenced by powerful techniques and approaches of Artificial Intelligence, Data Mining and Machine Learning. Several typical cases and systems will be presented inspired by authors’ long-lasting experiences in using Artificial Intelligence methods in numerous applications including several medical areas.