Livedatalab: A cloud-based platform to facilitate hands-on data science education at scale

Aaron Green, Cheng Xiang Zhai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present LiveDataLab, a novel general cloud-based platform that facilitates data science education at scale by enabling instructors to oer hands-on data science assignments using large real-world datasets. Using real course assignments as examples, our demonstration will walk attendees through the process of an instructor deploying an assignment, students working on and submitting assignments, and leaderboard-based competition and automated grading to demonstrate the major functions and benets of LiveDataLab.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450368049
DOIs
StatePublished - Jun 24 2019
Event6th ACM Conference on Learning at Scale, L@S 2019 - Chicago, United States
Duration: Jun 24 2019Jun 25 2019

Publication series

NameProceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019

Conference

Conference6th ACM Conference on Learning at Scale, L@S 2019
CountryUnited States
CityChicago
Period6/24/196/25/19

Keywords

  • Cloud computing
  • Data science education
  • Virtual lab

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Education

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  • Cite this

    Green, A., & Zhai, C. X. (2019). Livedatalab: A cloud-based platform to facilitate hands-on data science education at scale. In Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019 (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/1122445.1122456