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ORCIDNicholas Lewkow
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2010 – 2019
- 2018
[c8]Ani Aghababyan, Nicholas Lewkow, Ryan S. Baker:
Enhancing the Clustering of Student Performance Using the Variation in Confidence. ITS 2018: 274-279- [c7]Jacqueline L. Feild, Nicholas Lewkow, Sean Burns, Karen Gebhardt
:
A generalized classifier to identify online learning tool disengagement at scale. LAK 2018: 61-70 - 2017
- [c6]Ani Aghababyan, Nicholas Lewkow, Ryan S. Baker:
Exploring the asymmetry of metacognition. LAK 2017: 115-119 - [c5]Shirin Mojarad, Nicholas Lewkow, Alfred Essa, Jie Zhang, Jacqueline L. Feild:
Quasi-experimental design for causal inference using Python and Apache Spark: a hands-on tutorial. LAK 2017: 502-503 - 2016
- [c4]Jacqueline L. Feild, Nicholas Lewkow, Neil L. Zimmerman, Mark Riedesel, Alfred Essa:
A Scalable Learning Analytics Platform for Automated Writing Feedback. EDM 2016: 688-693 - [c3]Lalitha Agnihotri, Shirin Mojarad, Nicholas Lewkow, Alfred Essa:
Educational data mining with Python and Apache spark: a hands-on tutorial. LAK 2016: 507-508 - [c2]Nicholas Lewkow, Jacqueline L. Feild, Neil L. Zimmerman, Mark Riedesel, Alfred Essa, David Boulanger, Jeremie Seanosky, Vive Kumar, Kinshuk, Sandhya Kode:
A Scalable Learning Analytics Platform for Automated Writing Feedback. L@S 2016: 109-112 - 2015
- [c1]Nicholas Lewkow, Neil L. Zimmerman, Mark Riedesel, Alfred Essa:
Learning Analytics Platform. Towards an Open Scalable Streaming Solution for Education. EDM 2015: 460-463
Coauthor Index
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