The Moocshop will survey the rapidly expanding ecosystem of Massive Open Online Courses. We will foster a cross-institutional and cross-platform dialogue in order to articulate and synthesize the plurality of challenges that arise when evaluating and designing MOOCs. While the forms and functions of MOOCs are currently evolving, we aim to develop a shared foundation for an interdisciplinary field of inquiry moving forward.
We invite researchers, technologists, and course designers from universities and industry to share their approaches and perspectives on key topics, including analytics and data mining, assessment, credentialing, pedagogy, platform design, data standards, and privacy.
Date: July 9 or 13 @ the Artificial Intelligence in Education Conference in Memphis, Tennessee
Submission Deadline: April 22
Camera-Ready Deadline: TBA
Invited Speaker: George Siemens
- analytics and data mining
- platform design
- course features
- instructor-facing features
- authoring tools
- evaluation of efficacy
- accreditation / credentialing / certification
- modalities of use (present / future)
- student models
- data standards
We provide two submission types in order to maximize participation opportunities and create a discussion that is as timely as possible.
- Short Paper (3-6 pages): Short papers should present work with at least 30% novel, unpublished content. Authors with this type of submission will receive feedback on their submission.
- Abstract/Title: For early stage or work in progress. We will publish accepted papers and abstracts in a Workshop Proceedings, and with authors’ permission, presentation materials. This Proceedings will also include a summary of the workshop and will be published online under a Creative Commons license.
The final schedule will be based on the number of submissions. Authors of accepted short papers will present for 10-25 minutes and authors of accepted abstracts will present for 5-15 minutes.
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