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IEEE LWMOOCS 2020 : 7th IEEE Learning with MOOCS
IEEE LWMOOCS 2020 : 7th IEEE Learning with MOOCS

IEEE LWMOOCS 2020 : 7th IEEE Learning with MOOCS

Antigua Guatemala, Guatemala
Event Date: September 30, 2020 - October 02, 2020
Abstract Submission Deadline: April 19, 2020
Submission Deadline: May 24, 2020
Notification of Acceptance: June 21, 2020
Camera Ready Version Due: July 05, 2020




About

The 4th Industrial Revolution: Challenges and Opportunities

Massively open on-line courses are learning platforms delivering high-quality content to hundreds or thousands of simultaneous users. This IEEE conference provides academic and industry professionals the opportunity to discuss research into MOOC technologies as well as the practical aspects of creating and offering MOOCs to diverse worldwide audiences. Now in its sixth year, LWMOOCs is a respected international forum to collaborate, share, network, learn, and display the latest advances in MOOCs.


Call for Papers

We call for submissions from a variety of disciplines and topics. We encourage submissions that build on the theme of enhancing workforce diversity and inclusion. All submissions will be double-blind peer-reviewed, and a selection will be chosen to present a vibrant program that maximizes time for discussion and participation through a single-track threaded with poster sessions, full-length paper presentations, shorter lighting-round presentations, active-learning workshops, and keynote presentations from leading experts. Example topics, though not limited to this list, include:

  • The role of MOOCs shaping the 4th Industrial Revolution
  • Expanding the learner community through MOOCs
  • Social implications of MOOCs
  • Assistive and inclusive MOOC techniques
  • Open content, open licensing, and MOOC delivery
  • International cooperation in MOOC projects
  • Using MOOCs in employee training
  • Scaffolding courses and planning MOOC curricula
  • On-line MOOC degree programs
  • Learning analytics in MOOC courses
  • Learning science and educational research models
  • Learning engineers applying sound science with MOOC platforms
  • Machine Learning, AI, and MOOC delivery



Credits and Sources

[1] IEEE LWMOOCS 2020 : 7th IEEE Learning with MOOCS


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