\n12\uff1a30<\/strong><\/td>\nRegistration<\/strong><\/td>\n<\/tr>\n\n13\uff1a00<\/strong><\/td>\nOpening and Welcome<\/strong><\/td>\n<\/tr>\n\n\u00a0<\/strong><\/td>\nHiroaki OGATA (Organizer) \nAcademic Center for Computing and Media Studies(ACCMS), Kyoto University<\/span><\/td>\n<\/tr>\n\n13\uff1a15<\/strong><\/td>\nKeynote<\/strong>\u00a0Speech<\/strong><\/td>\n<\/tr>\n\n<\/td>\n | \u201cImportance of Education and Learning Data and Future Prospects\u201d \nSpeaker: Yuichiro ANZAI \nSenior Advisor, Japan Society for the Promotion of Science<\/td>\n<\/tr>\n | \n13\uff1a45<\/strong><\/td>\nKeynote<\/strong>\u00a0Speech<\/strong><\/td>\n<\/tr>\n\n<\/td>\n | \u201cFor the Growth of Learning Analytics\u201d \nSpeaker: Michihiko MINOH \nMember of Science Council of Japan, Executive Director, RIKEN<\/td>\n<\/tr>\n | \n14\uff1a15<\/strong><\/td>\nIntermission<\/strong><\/td>\n<\/tr>\n\n14\uff1a30<\/strong><\/td>\nPanel Discussion \n<\/strong><\/td>\n<\/tr>\n\n<\/td>\n | Topic: \u201cHow to Utilize and Apply Education Data\u201d<\/strong> \nPanelists:\uff08Member of Science Council of Japan<\/span>\uff09 \nKentaro INUI,\u00a0RIKEN Center for Advanced Intelligence Project, Tohoku University \nTakashi KUSUMI, Kyoto University \n<\/span>Etsuya SHIBAYAMA,\u00a0The University of Tokyo \n<\/span>Shinya NISHIDA,\u00a0NTT Communication Science Laboratories \n<\/span>Nobuyuki FUJIMURA,\u00a0The University of Tokyo \n<\/span>Kaori MAEDA,\u00a0Hiroshima City University \n<\/span>Kayo MATSUSHITA,\u00a0Kyoto University \n<\/span>Atsuko MIYAJI,\u00a0Osaka University<\/span><\/td>\n<\/tr>\n\n15\uff1a50<\/strong><\/td>\nIntermission<\/strong><\/td>\n<\/tr>\n\n16\uff1a00<\/strong><\/td>\nKeynote Speech<\/strong><\/td>\n<\/tr>\n\n<\/td>\n | \u201cSupporting Evidence-Based Education through Learning Analytics\u201d \nSpeaker:Abelardo PARDO<\/span> \nSoLAR President Professor, University of South Australia<\/td>\n<\/tr>\n\n16\uff1a30<\/strong><\/td>\nCase Studies in Learning Analytics<\/strong><\/td>\n<\/tr>\n\n<\/td>\n | Speakers: \nShian-Shyong TSENG,\u00a0Vice President, Asia University, Taiwan \n<\/span>Stephen J.H. YANG,\u00a0National Central University, Asia University, Taiwan \n<\/span>Atsushi SHIMADA,\u00a0Kyushu University \n<\/span>Masanori YAMADA,\u00a0Kyushu University \n<\/span>Chifumi NISHIOKA,\u00a0Kyoto University \n<\/span>Ivica BOTICKI,\u00a0Kyoto University, University of Zagreb, Croatia \n<\/span>Brendan FLANAGAN,\u00a0Kyoto University \n<\/span>Gokhan AKCAPINAR Kyoto,\u00a0University \n<\/span>Rwitajit MAJUMDAR Kyoto,\u00a0University<\/span><\/td>\n<\/tr>\n\n18\uff1a00<\/strong><\/td>\nClosing<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \nKeynote Speech<\/strong><\/h1>\n \n\n\n\n<\/colgroup>\n\n\nYuichiro Anzai (Senior Advisor, Japan Society for the Promotion of Science \nExecutive Academic Advisor, Keio University)<\/td>\n<\/tr>\n | \nTitle<\/td>\n | Importance of Education and Learning Data, and the Future Prospects<\/td>\n<\/tr>\n | \n<\/td>\n | Abstract \nThe 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\u2019s 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.<\/td>\n<\/tr>\n | \nBiography \n\u25cfCurrent: \nChair of the Artificial Intelligence Technology Strategic Council of the Cabinet Office \n\u25cf2011 – 2018: \nPresident of Japan Society for the Promotion of Science \n\u25cf2001 – 2009: \nPresident of Keio University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n<\/colgroup>\n\n\nMichihiko MINOH (Executive Director, RIKEN)<\/td>\n<\/tr>\n | \nTitle<\/td>\n | For the Growth of Learning Analytics<\/td>\n<\/tr>\n | \n<\/td>\n | Abstract \nThe 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.<\/td>\n<\/tr>\n | \nBiography \n\u25cf 2010 – 2016: \nDeputy Executive Director, Kyoto University \nChief Information Officer, Kyoto University \nDirector-general at Institute for Information Management and Communication, Kyoto University \n\u25cf 2006 – 2010: \nDirector, Academic Center for Computing and Media Studies, Kyoto University \n\u25cf 2002 \nProfessor, Academic Center for Computing and Media Studies, Kyoto University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n<\/colgroup>\n\n\nAbelardo PARDO\uff08SoLAR President, Professor, University of South Australia\uff09<\/td>\n<\/tr>\n | \nTitle<\/td>\n | Supporting Evidence-Based Education through Learning Analytics<\/td>\n<\/tr>\n | \n<\/td>\n | Abstract \nThe 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 \u201cevidence\u201d 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.<\/td>\n<\/tr>\n | \nBiography \nAbelardo 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).<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\u00a0<\/span><\/p>\n \n | | | | | | | | | | | | | | | | | | | | | | | | | | | |