Abstract
The moocshop will survey the rapidly expanding ecosystem of Massive Open Online Courses (MOOCs). 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. Researchers, technologists, and course designers from universities and multiple platforms will share their approaches and perspectives on key topics, including analytics and data mining, assessment, pedagogy, platform design, data standards, and privacy for open datasets.
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© 2013 Springer-Verlag Berlin Heidelberg
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Pardos, Z.A., Schneider, E. (2013). First Annual Workshop on Massive Open Online Courses. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_161
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DOI: https://doi.org/10.1007/978-3-642-39112-5_161
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39111-8
Online ISBN: 978-3-642-39112-5
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