Inaugurated in 2019, the APSCE Fellowship recognizes outstanding members of the Asia-Pacific Society for Computers in Education (APSCE) in the field of computers in education. The title of APSCE fellow indicates, (1) Sustained and distinguished academic contributions to the advancement of research in the field of computers in education at the international level; (2) A strong track record in academic networking and services within the Asia-Pacific region.
The full guidelines for APSCE Fellows are available here
The APSCE Fellows (in alphabetical order):
- Tak-Wai CHAN (Taiwan)
- H. Ulrich HOPPE (Germany)
- Chee-Kit LOOI (Singapore)
- Riichiro MIZOGUCHI (Japan)
Chan bears a personal mission to facilitate the building of regional research communities since the early nineties. He co-founded two conference series, ICCE and GCCCE, and, respectively, two corresponding international academic societies, APSCE and GCSCE, one for the Asia-Pacific regional community and the other for the global Chinese community.
H. Ulrich HOPPE
Professor, Department of Computer Science and Applied Cognitive Science (Engineering Faculty), University of Duisburg-Essen, Germany
Year of induction: 2019
Dr. H. Ulrich Hoppe holds a full professorship in the area of “Collaborative and Learning Support Systems” at the University of Duisburg-Essen (Germany). After his PhD on interactive programming in mathematics education in 1984, Ulrich Hoppe has worked for about ten years in the area of intelligent user interfaces and cognitive models in HCI, before he re-focused his research on intelligent support in educational systems and distributed collaborative environments in 1995. With his COLLIDE Research Group he has participated in more than ten European projects on Technology-enhanced learning. He was one of the initiators of the European Network of Excellence Kaleidoscope (2004-07). Since 2015 he is engaged as a PI in a Research Training Group on “User Centred Social Media” funded by the German National Science Foundation (DFG). His current research is focused on computational techniques for learning and knowledge building in various context, including higher education as well as vocational education and training. He is an active member of the Learning Analytics community where he particularly pursues the integration and adaptation of computational methods, such as combinations of (social) network analysis with other methods of data mining and artefact analysis.
Professor, National Institute of Education, Nanyang Technological University, Singapore
Year of induction: 2019
Chee-Kit Looi is Professor of Education at the National Institute of Education, Nanyang Technological University (NTU) in Singapore. He was the Founding Head of the Learning Sciences Lab, the first research centre devoted to the study of the sciences of learning in the Asia-Pacific region. He is also co-Director of the Centre of Research and Development in Learning, NTU. He organized ICCE 1995 and ICCE 2005 in Singapore, and served as President of APSCE from 1997 to 2011. He is a founding member of the Global Chinese Society of Computers in Education and served as its past president.
Chee-Kit’s research in education is characterized by producing outcomes, processes or artifacts that impact practice. An early completed project involved the design of digital mathematics manipulatives which have been made available to all secondary schools in Singapore. He is the PI or co-PI of several research projects funded by the National Research Foundation, Singapore. His research work on creating routine practices of rapid collaborative learning using GroupScribbles has made significant inroads into transforming school practices in several primary and secondary schools. His research on seamless and mobile learning has made good progress toward creating a model of 1:1 computing in schools, remarkable in terms of achieving sustainability and scalability in ten over schools.
Chee-Kit was an associate editor for the JLS, and an editorial member of JCAL, ijCSCL, and IJAIED. He was a member of the Core Expert Group that developed the framework for assessing Collaborative Problem Solving in OECD PISA 2015.
Fellow, Japan Advanced Institute of Science and Technology (JAIST), Japan
Year of induction: 2019
Riichiro Mizoguchi received Ph.D. degree from Osaka University in 1977. He had been a full professor of the Institute of Scientific and Industrial Research, Osaka University from 1990 to 2012 and a research professor of Research Center for Service Science, Japan Advanced Institute of Science and Technology (JAIST) from October, 2012 to March, 2019. He is currently Fellow of JAIST and Associate researcher, ISTC-CNR Laboratory for Applied Ontology, Trento, Italy. His research interests include Non-parametric data analyses, Knowledge-based systems, Ontology engineering and Intelligent learning support systems. Dr. Mizoguchi was President of International AI in Education Society and Asia-Pacific Society for Computers in Education from 2001 to 2003 and President of Japanese Society for Artificial Intelligence(JSAI) from 2005-2007. He received honorable mention for the Pattern Recognition Society Award in 1985, Best paper award of the Institute of Electronics, Information and Communication Engineers in 1988, 10th Anniversary Memorial Paper Award of JSAI in 1996, Best paper awards of ICCE99 and ICCE2006, Best paper award of JSAI in 2006 and 2012, and Best paper award of Japan Society for Information and Systems in Education in 2010 and 2019. He was Vice-President of SWSA (Semantic Web Science Association) and Co-Editor-in-Chief of J. of Web Semantics from 2005 to 2009 and from 2008 to 2011, respectively. He is currently an associate editor of ACM TiiS and an editorial board member of Applied Ontology.