Extending Learning Analytics to Support Active Adults at All ages

Abstract

In this talk, I will discuss the possibilities to extend learning analytics for the support of active adults at all ages. As smart technologies pervade our everyday environments, they change what people should learn to be a happy participant of our society. For instance, ubiquitous availability of smart devices and communication networks may have reduced the burden for people to remember factual information. At the same time, they may have increased the benefits to master the uses of new digital technologies. In the midst of such a social and technological shift, we could design a novel integrated platform that supports people at all ages to learn, work and collaborate easily. As a first step towards building such a platform, we have begun to explore an inclusive and pervasive learning analytics environment in collaboration with the city of Itoshima.





























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Shin'ichi Konomi

Shin’ichi Konomi is a Professor and Director of Learning Analytics Center at the Faculty of Arts and Science, Kyushu University. He received his Ph.D. degree in Computer Science from Kyoto University in 1996, and M.Eng. degree in Computer Science and Communication Engineering from Kyushu University. Before joining Kyushu University in 2017, he was an associate professor at the University of Tokyo, a senior research associate at the University of Colorado at Boulder, and a postdoctoral research scientist at GMD (German National Research Centre for Information Technology with eight institutes in three different cities; since 2001 merged with Fraunhofer Society). He conducts research based on human-centric and data-centric approaches to develop novel computational environments that make people smarter and happier. He is a member of ACM, IEEE, IEICE, IPSJ, DBSJ, and GIS Association of Japan.