@article{KristineJonsonCarlonYokoiMauriceGayedetal.2023,
  author    = {Kristine Jonson Carlon, May and Yokoi, Kensuke and Maurice Gayed, John and Suyama, Hiroshi and Cross, Jeffrey},
  title     = {Preparing for Society 5.0 with MOOC Capabilities Extension},
  series = {EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash?},
  journal   = {EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash?},
  editor    = {Meinel, Christoph and Schweiger, Stefanie and Staubitz, Thomas and Conrad, Robert and Alario Hoyos, Carlos and Ebner, Martin and Sancassani, Susanna and Żur, Agnieszka and Friedl, Christian and Halawa, Sherif and Gamage, Dilrukshi and Cross, Jeffrey and Kristine Jonson Carlon, May and Deville, Yves and Gaebel, Michael and Delgado Kloos, Carlos and von Schmieden, Karen},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  doi       = {10.25932/publishup-62080},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-620809},
  pages     = {9 -- 20},
  year      = {2023},
  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 a 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.},
  language  = {en}
}