Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges
Item
Title
Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges
Abstract/Description
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.
Author/creator
Date
Series
Pages
1–4
Publisher
Association for Computing Machinery
Resource type
Research/Scholarly Media
Resource status/form
Published Text
Scholarship genre
Reflection/Retrospective
Keywords
IRE Approach/Concept
Open access/full-text available
Yes
Peer reviewed
Yes
ISBN
978-1-4503-6804-9
URL
Citation
Nacu, D., Upadhyay, P., Skorepa, E., Everette, T., Flores, E., Jackson, M., & Pinkard, N. (2019). Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges. Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale, 1–4. https://doi.org/10.1145/3330430.3333651
Comments
No comment yet! Be the first to add one!