Implementing learning analytics to foster a stem learning ecosystem at the city-level: Emerging research and design challenges

Denise Nacu, Pooja Upadhyay, Evan Skorepa, Tre Everette, Evelyn Flores, Mighel Jackson, Nichole Pinkard

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

1 Scopus citations

Abstract

To address the goal of increasing and broadening participation of youth in STEM fields, a learning ecosystem approach is a promising strategy. Learning analytics can play an important role in such efforts which aim to build learning supports across the diverse spaces in which learning and development occurs, including informal, formal, and online contexts. This paper introduces a city-level learning analytics implementation effort in a developing STEM ecosystem in one mid-sized city. We describe aspects of our design and research approach and challenges that emerge by taking a learning ecosystem perspective of learning and development.

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
Country/TerritoryUnited States
CityChicago
Period6/24/196/25/19

Keywords

  • Broadening participation
  • Human-centered design
  • Learning analytics
  • Learning ecosystems
  • STEM learning

ASJC Scopus subject areas

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

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