Discovery Series: LEAF: A Learning and Evidence Analytics Framework in Japan and for the World

Date & Time: 
Friday, March 17, 2023 - 11:30am to 1:00pm
Location: 
Zoom and In-Person at Discovery Park, Room G150

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Discovery Series Presents:

Title: LEAF: A Learning and Evidence Analytics Framework in Japan and for the World

Abstract: : Learning Analytics (LA) is a growing field focusing on capturing, analyzing, and utilizing data from teaching-learning contexts. It aims to facilitate a better understanding of the learning experiences and thereby enhance it. In this panel, we shall share the research findings from a sustained collaboration between researchers and educators from Japan over the last six years. The LA-enhanced system, designed and developed in Japan, was also utilized in classroom teaching in higher education contexts in Japan and at the institutional level with other international collaborators. Presenting the research case studies would highlight a model of how to support reflective practices in an analytics-driven learning ecosystem.

Bios:

Hiroaki Ogata

Hiroaki Ogata is a professor at the Academic Center for Computing and Media Studies and the Graduate School of Informatics, Kyoto University, Japan. His research includes LA, educational data science, CSCL, CSCW, and CALL.

Brendan Flanagan

Brendan Flanagan is an Associate Professor at the Center for Innovative Research and Education in Data Science, Institute for Liberal Arts and Sciences, and the Graduate School of Informatics at Kyoto University. His research interests include learning analytics, educational informatics, machine learning, and language learning.

Rwitajit Majumdar

Rwitajit Majumdar received a Ph.D. from IDP-ET at IIT Bombay in India. He is a senior lecturer at the Graduate School of Informatics at Kyoto University. His research interests include technology-enhanced learning environment design, Learning Analytics, and studying human-data interactions in educational contexts.

Izumi Horikoshi

Izumi Horikoshi received a Ph.D. from Sophia University in Japan. Her research interests include Learning Analytics and classroom visualization for formative assessment and reflection. She is a member of JSET, JSiSE, and SoLAR.

Yuko Toyokawa

Yuko Toyokawa is a Ph.D. student at Graduate School of Informatics, Kyoto University. Her research interests include Learning Analytics, active reading, and learning support for students with special needs.