Exploring Why Underrepresented Students Are Less Likely to Study Machine Learning and Artificial Intelligence-Reference-Cited by-同舟云学术

Exploring Why Underrepresented Students Are Less Likely to Study Machine Learning and Artificial Intelligence

Published:2021-06-26 Issue: Volume: Page:
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Container-title:Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1
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Author:

Barretto Daphne¹,LaChance Julienne¹,Burton Emanuelle²,Liao Soohyun Nam¹

Affiliation:

1. Princeton University, Princeton, NJ, USA

2. University of Illinois at Chicago, Chicago, IL, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3430665.3456332

Reference29 articles.

1. Computer Science Principles

2. Phillip A. Boda and Steven McGee. [n.d.]. Broadening participation and success in AP CS A: Predictive modeling from three years of data.([n. d.]). https://www.jointhepartnership.net/wp-content/uploads/2020/12/Boda_McGee_SIGCSE_2021--1.pdf (In Proc). Phillip A. Boda and Steven McGee. [n.d.]. Broadening participation and success in AP CS A: Predictive modeling from three years of data.([n. d.]). https://www.jointhepartnership.net/wp-content/uploads/2020/12/Boda_McGee_SIGCSE_2021--1.pdf (In Proc).

3. Applying the Communal Goal Congruity Perspective to Enhance Diversity and Inclusion in Undergraduate Computing Degrees

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