Overview
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.
Organizer ：
Science Council of Japan (SCJ)
Sponsor ：
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
Program
| 12：30 | Registration |
| 13：00 | Opening and Welcome |
| Hiroaki OGATA (Organizer) Academic Center for Computing and Media Studies(ACCMS), Kyoto University |
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| 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 |
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| 13：45 | Keynote Speech |
| “For the Growth of Learning Analytics” Speaker: Michihiko MINOH Member of Science Council of Japan, Executive Director, RIKEN |
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| 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 |
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| 15：50 | Intermission |
| 16：00 | Keynote Speech |
| “Supporting Evidence-Based Education through Learning Analytics” Speaker:Abelardo PARDO SoLAR President Professor, University of South Australia |
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| 16：30 | Case Studies in Learning Analytics |
| Speakers: 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 |
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| 18：00 | Closing |
Keynote Speech
| Yuichiro Anzai (Senior Advisor, Japan Society for the Promotion of Science Executive Academic Advisor, Keio University) |
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| Title | Importance of Education and Learning Data, and the Future Prospects |
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Abstract 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. |
| Biography ●Current: 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 |
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| Michihiko MINOH (Executive Director, RIKEN) | |
| Title | For the Growth of Learning Analytics |
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Abstract 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. |
| Biography ● 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 |
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| Abelardo PARDO（SoLAR President, Professor, University of South Australia） | |
| Title | Supporting Evidence-Based Education through Learning Analytics |
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Abstract 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. |
| Biography 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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Contact Us
Ogata Laboratory
Academic Center for Computing and Media Studies, Kyoto University
Mail：contact@let.media.kyoto-u.ac.jp
WEB：https://bit.ly/2AhjWY5
TEL：+81 75 753 9052
