On Wednesday June 18th at 10:30, we are happy to host Prof. Dr. Rwitajit Majumdar for an invited talk with the title: “Context, Data and Inferencing: When Human-AI Meet to Learn”.
Dr. Rwitajit Majumdar is an Associate Professor at Kumamoto University, Japan, affiliated with the Research and Educational Institute for Semiconductors and Informatics, as well as the Graduate School of Social and Cultural Sciences, Division of Instructional System Studies and School of Informatics. His research focuses on learning analytics and human-data interactions, aiming to enhance technology-enhanced learning by analyzing user and e-learning system interactions to inform AI technology design and evaluate its effectiveness. Dr. Majumdar has led several projects, collaborating with researchers from Japan and internationally, aimed at supporting technology-enhanced and evidence-based education. He has received multiple research grants, such as the JSPS Grant-in-Aid for Scientific Research from the Japanese government, and has been honored with awards like the APSCE Early Career Researcher Award and the IEEE TCLT Early Career Researcher Award in Learning Technologies. Dr. Majumdar completed his Ph.D. in Educational Technology at the Indian Institute of Technology Bombay in 2018 and worked at Kyoto University as post-doc and senior lecturer till 2023. He has shared his work through extensive publication in international journals and conferences, in the fields of educational technology and learning analytics.
Abstract: Online learning tools are now versatile and they often have capacity to interface the human and the artificial intelligence through data-driven services using multimodal data. This talk will discuss few data-driven services created to support reflective practices of instructors, learners and researchers from education technology. LA-ReflecT, is one such platform which is in active development in the Learning Analytics lab at Kumamoto University. The talk will demonstrate the platform as a context of how interaction logs, artefacts generated, and behavioral traces such as gaze can be captured and utilized for supporting educational activities and also understanding teaching-learning dynamics. Teachers can author micro-learning activities in LA-ReflecT and publish them for the learners to attempt. A learning dashboard provides the different services for the learner and teachers to reflect on the attempted activity tasks. It also provides access to the various interaction data for further analysis by the stakeholders including the educational researchers. The talk will follow up with opportunities of research collaboration.
Due to space limitations, if you wish to participate in person, please contact Irene-Angelica Chounta via email. The talk will also be streamed online (link will be announced here shortly before the talk).
