It is very important to utilize data and evidences related to education and learning activities effectively in order to promote research for improving education and for nurturing human resources.
Also, we need to discuss educational policies to use data on education and learning activities not only for individual educational institutions but also for nationwide use. To do so, Science Council of Japan (SCJ) established “SIG on educational data utilization at the national level” aiming at, (1) to understand the current situation of the collection and utilization of education / learning related data and to solve problems in domestic and overseas, (2) to create a policy for collecting educational data at the national level. Also, with regard to the analysis of educational data (learning analytics), we are now conducting a research on the Cabinet Office ‘s Strategic Innovation Creation Program (SIP) Phase 2 / Cyber Space Infrastructure Technology Utilizing Big Data, and Japan Society for the Promotion of Science Association for Scientific Research Grant-in-Aid for Scientific Research (S). At this symposium, we will introduce these studies and discuss utilization of educational data at national level and how to implement evidence based education through learning analytics.
We are looking forward to your participation..

For details

Date : 22 March 2019 (Friday), 13:00 – 18:00 (Open: 12:30)

Venue : Symposium Hall 5th Floor, International Science Innovation Building, Kyoto University

Registration FeeーFree

Go to this Webform to Registerーhttps://goo.gl/WWjKJW
(200 seats available on a  first-come asis)

Registration Deadlineー 20 March 2019

Due to the limited availability of seats, early registration is recommended to ensure your participation.

Science Council of Japan (SCJ)

JSPS Grant-in-Aid for Scientific Research (S), Grant No.16H06304
“Information Infrastructure for Supporting Education and Learning by Using Educational Big Data”
Supporting Organisations:
Society for Learning Analytics Research (SoLAR)
Japan Massive Open Online Education Promotion Council (JMOOC)
Academic Center for Computing and Media Studies (ACCMS), Kyoto University



12:30 Registration
13:00 Opening and Welcome
  Hiroaki OGATA (Organizer)
Academic Center for Computing and Media Studies(ACCMS), Kyoto University
13:15 Keynote Speech
“Importance of Education and Learning Data and Future Prospects”
Speaker: Yuichiro ANZAI
Senior Advisor, Japan Society for the Promotion of Science
13:45 Keynote Speech
“For the Growth of Learning Analytics”
Speaker: Michihiko MINOH
Member of Science Council of Japan, Executive Director, RIKEN
14:15 Intermission
14:30 Panel Discussion
Topic: “How to Utilize and Apply Education Data”
Panelists:(Member of Science Council of Japan
Kentaro INUI, RIKEN Center for Advanced Intelligence Project, Tohoku University
Takashi KUSUMI, Kyoto University
Etsuya SHIBAYAMA, The University of Tokyo
Shinya NISHIDA, NTT Communication Science Laboratories
Nobuyuki FUJIMURA, The University of Tokyo
Kaori MAEDA, Hiroshima City University
Kayo MATSUSHITA, Kyoto University
Atsuko MIYAJI, Osaka University
15:50 Intermission
16:00 Keynote Speech
“Supporting Evidence-Based Education through Learning Analytics”
Speaker:Abelardo PARDO
SoLAR President Professor, University of South Australia
16:30 Case Studies in Learning Analytics
Shian-Shyong TSENG, Vice President, Asia University, Taiwan
Stephen J.H. YANG, National Central University, Asia University, Taiwan
Atsushi SHIMADA, Kyushu University
Masanori YAMADA, Kyushu University
Chifumi NISHIOKA, Kyoto University
Ivica BOTICKI, Kyoto University, University of Zagreb, Croatia
Brendan FLANAGAN, Kyoto University
Gokhan AKCAPINAR Kyoto, University
Rwitajit MAJUMDAR Kyoto, University
18:00 Closing

Keynote Speech

Yuichiro Anzai (Senior Advisor, Japan Society for the Promotion of Science
Executive Academic Advisor, Keio University)
Title Importance of Education and Learning Data, and the Future Prospects
The world of teaching and learning has been radically influenced by the 21-century digital transformation. Based on digital technology, accumulating and analyzing education data in order to raise the learner’s abilities is exactly what many developed countries are trying to achieve. In Japan, a large-scale project that steps into the cognitive process to develop data infrastructure and incorporate AI technology to help every learner to maximize one’s ability was launched as part of the Cross-ministerial Strategic Innovation Promotion Program (SIP). This keynote speech will introduce: the project outline, academic and social problems, and future prospects in the data-driven teaching and learning.
Chair of the Artificial Intelligence Technology Strategic Council of the Cabinet Office
●2011 – 2018:
President of Japan Society for the Promotion of Science
●2001 – 2009:
President of Keio University
Michihiko MINOH (Executive Director, RIKEN)
Title For the Growth of Learning Analytics
The importance of evidence-based education is gaining great momentum. Access logs of LMS and electronic textbooks are currently the mainstream for evidence information. However, are these data really compelling evidence of education? In this keynote speech, the role of information in the field of education will be examined by: taking an informational stance towards the concept of education, and considering the fundamental problem of what is information. Lastly, by reviewing the current practical research on ICT utilized education, the direction of the future will also be discussed.
● 2010 – 2016:
Deputy Executive Director, Kyoto University
Chief Information Officer, Kyoto University
Director-general at Institute for Information Management and Communication, Kyoto University
● 2006 – 2010:
Director, Academic Center for Computing and Media Studies, Kyoto University
● 2002
Professor, Academic Center for Computing and Media Studies, Kyoto University
Abelardo PARDO(SoLAR President, Professor, University of South Australia)
Title Supporting Evidence-Based Education through Learning Analytics
The widespread availability of data collected while learners participate in an experience is perceived as an opportunity to increase its quality. Typical use of this data includes the creation of predictive models for retention and/or student engagement. But the data can also be considered as “evidence” of how learners engage with tasks. Educational institutions need to have robust procedures to ensure that support and verify that graduates acquire the adequate skills. Data and learning analytics methods may contribute to these procedures by transforming the collected data into knowledge and further into evidence. In this talk we will review first how learning analytics are integrated as part of a learning experience and the type of data and sensemaking procedures that can be used to provide evidence of learning.
Abelardo Pardo is Professor and Dean Academic at the Division of Information Technology, Engineering and the Environment at the University of South Australia. His research interests include the design and deployment of technology to increase the understanding and improve digital learning experiences. More specifically, his work examines the areas of learning analytics, personalized active learning, and technology for student support.He is the author of over 150 research papers in scholarly journals and international conferences in the area of educational technology and engineering education. He is currently member of the executive board and vice president of the Society for Learning Analytics Research (SoLAR).


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Academic Center for Computing and Media Studies, Kyoto University
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