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Co-ML: Collaborative Machine Learning Model Building for Developing
  Dataset Design Practices
v1v2v3 (latest)

Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices

ACM Transactions on Computing Education (TOCE), 2023
15 November 2023
Tiffany Tseng
Matt J. Davidson
Luis Morales-Navarro
Jennifer King Chen
Victoria Delaney
Mark Leibowitz
Jazbo Beason
R. Benjamin Shapiro
ArXiv (abs)PDFHTML

Papers citing "Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices"

3 / 3 papers shown
Title
In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings
  with MobileMaker
In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker
S. Petridis
Michael Xieyang Liu
Alexander J. Fiannaca
Vivian Tsai
Michael Terry
Carrie J. Cai
152
1
0
06 May 2024
Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of
  Machine Learning Applications
Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of Machine Learning Applications
Luis Morales-Navarro
Yasmin B. Kafai
Vedya Konda
D. Metaxa
MLAU
216
17
0
08 Apr 2024
Not Just Training, Also Testing: High School Youths' Perspective-Taking
  through Peer Testing Machine Learning-Powered Applications
Not Just Training, Also Testing: High School Youths' Perspective-Taking through Peer Testing Machine Learning-Powered ApplicationsTechnical Symposium on Computer Science Education (SIGCSE), 2023
Luis Morales-Navarro
Meghan Shah
Yasmin B. Kafai
134
8
0
21 Nov 2023
1