EMOOCS 2023: Preparing for Society 5.0 with MOOC Capabilities Extension

While the European MOOC Stakeholders Summit has "European" in its name, we had been participating in it since 2021. This 2023, Professor Cross and I are part of the conference's International Track which aims to promote broader participation in MOOC research. Since we were track chairs, I was hesitant to submit our work to the International Track. Fortunately, this work is a collaboration with Wisdom Inc. where I worked as a software engineer. It made it a perfect fit for the Business Track.

Demonstration of the software created with Wisdom Inc.

For a copy of relevant materials (e.g., presentation, paper) or any questions you may have, please feel free to reach out to me through the Contact Me gadget on this blog's sidebar.

Details

Title: Preparing for Society 5.0 with MOOC Capabilities Extension. An industry-academia collaboration on learning analytics dashboard development
Authors: May Kristine Jonson Carlon, Kensuke Yokoi, John Maurice Gayed, Hiroshi Suyama, Jeffrey S. Cross
Date: June 14 to 16, 2023
DOI: TBD

Abstract

Academia-industry collaborations are beneficial when both sides bring strengths to the partnership and the collaboration outcome is of mutual benefit. These types of collaboration projects are seen as low-risk learning opportunity for both parties. In this paper, government initiatives that can change the business landscape and academia-industry collaborations that can provide upskilling opportunities to fill emerging business needs are discussed. In light of Japan's push for next-level modernization, a Japanese software company took a positive stance towards building new capabilities outside what it had been offering its customers. Consequently, an academic research group is laying out infrastructure for learning analytics research. An existing learning analytics dashboard was modularized to allow the research group to focus on natural language processing experiments while the software company explores a development framework suitable for data visualization techniques and artificial intelligence development. The results of this endeavor demonstrate that companies working with academia can creatively explore collaborations outside typical university-supported avenues.

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