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LWMOOCS 2023 : IEEE Learning with MOOCS 2023


When Oct 11, 2023 - Oct 13, 2023
Where Cambridge, MA USA
Abstract Registration Due Jul 14, 2023
Submission Deadline Apr 3, 2023
Notification Due Apr 14, 2023
Final Version Due Jul 14, 2023
Categories    moocs   online learning

Call For Papers

This IEEE conference provides academic, government, and industry professionals the opportunity to discuss research related to MOOCs as well as the practical aspects of creating and offering MOOCs to diverse worldwide audiences. Now in its ninth edition, LWMOOCs is a respected international forum to collaborate, network, learn, and share the latest advances in MOOCs. This edition will return to the MIT campus, the home of the first LWMOOCs event in 2014. The aim is to reinvigorate and expand the topics discussed at the conference to include blended learning and other open online courses.

We call for submissions from a variety of disciplines and topics. We encourage submissions that build on the theme of enhancing the definition of success of a MOOC project or blended learning. 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 lightning round presentations, active-learning workshops, and keynote presentations from leading experts. Example topics, though not limited to this list, include:
»The role of open online courses in the higher education/professional development landscape
»Expanding the learner community
»Social implications of open online courses
»Inclusive and accessible design in online courses
»Open content, open licensing, and open delivery
»International cooperation in MOOC or blended learning projects
»Using open online learning in employee training
»Scaffolding courses and planning curricula
»Free or low-cost online degree programs
»Learning analytics
»Learning science and educational research models
»Applying the learning sciences in online course design
»Machine learning and AI applications in online learning design or delivery
»Successful implementations of virtual reality and augmented reality in open online learning
»Applications of technology and opportunities to improve the open online landscape

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