26 citations · 93 across the 14 of their papers we have counts for
14 papers
Investigating Youth's Technical and Ethical Understanding of Generative Language Models When Engaging in Construction and Deconstruction Activities
Luis Morales-Navarro
The widespread adoption of generative artificial intelligence/machine learning (AI/ML) technologies has increased the need to support youth in developing AI/ML literacies. However,…
Building babyGPTs: Youth Engaging in Data Practices and Ethical Considerations through the Construction of Generative Language Models
Luis Morales-Navarro, Daniel J. Noh, Yasmin B. Kafai
As generative language models (GLMs) have gained popularity, youth are increasingly using them in their everyday lives. As such, most research has centered on supporting youth as u…
Youth as Advisors in Participatory Design: Situating Teens' Expertise in Everyday Algorithm Auditing with Teachers and Researchers
Daniel J. Noh, Deborah A. Fields, Luis Morales-Navarro +3
Research on children and youth's participation in different roles in the design of technologies is one of the core contributions in child-computer interaction studies. Building on…
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications
Luis Morales-Navarro, Yasmin B. Kafai, Lauren Vogelstein +2
While there is widespread interest in supporting young people to critically evaluate machine learning-powered systems, there is little research on how we can support them in inquir…
Learning about Data, Algorithms, and Algorithmic Justice on TikTok in Personally Meaningful Ways
Luis Morales-Navarro, Yasmin B. Kafai, Ha Nguyen +11
TikTok, a popular short video sharing application, emerged as the dominant social media platform for young people, with a pronounced influence on how young women and people of colo…
Investigating Youths' Everyday Understanding of Machine Learning Applications: a Knowledge-in-Pieces Perspective
Luis Morales-Navarro, Yasmin B. Kafai
Despite recent calls for including artificial intelligence (AI) literacy in K-12 education, not enough attention has been paid to studying youths' everyday knowledge about machine…
Understanding Growth Mindset Practices in an Introductory Physical Computing Classroom: High School Students' Engagement with Debugging by Design Activities
Luis Morales-Navarro, Deborah A. Fields, Yasmin B. Kafai
Background and Context: While debugging is recognized as an essential practice, for many students, encountering bugs can generate emotional responses such as fear and anxiety that…
Failure Artifact Scenarios to Understand High School Students' Growth in Troubleshooting Physical Computing Projects
L. Morales-Navarro, D. A. Fields, D. Barapatre +1
Debugging physical computing projects provides a rich context to understand cross-disciplinary problem solving that integrates multiple domains of computing and engineering. Yet un…
Not Just Training, Also Testing: High School Youths' Perspective-Taking through Peer Testing Machine Learning-Powered Applications
L. Morales-Navarro, M. Shah, Y. B. Kafai
Most attention in K-12 artificial intelligence and machine learning (AI/ML) education has been given to having youths train models, with much less attention to the equally importan…
Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices
Tiffany Tseng, Matt J. Davidson, Luis Morales-Navarro +5
Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Y…
Connecting Beliefs, Mindsets, Anxiety, and Self-Efficacy in Computer Science Learning: An Instrument for Capturing Secondary School Students' Self-Beliefs
Luis Morales-Navarro, Michael T. Giang, Deborah A. Fields +1
Background and Context: Few instruments exist to measure students' CS engagement and learning especially in areas where coding happens with creative, project-based learning and in…
Making Sense of Machine Learning: Integrating Youth's Conceptual, Creative, and Critical Understandings of AI
Luis Morales-Navarro, Yasmin B. Kafai, Francisco Castro +17
Understanding how youth make sense of machine learning and how learning about machine learning can be supported in and out of school is more relevant than ever before as young peop…
Designing Bugs or Doing Another Project: Effects on Secondary Students' Self-Beliefs in Computer Science
Luis Morales-Navarro, Deborah A. Fields, Michael Giang +1
Debugging, finding and fixing bugs in code, is a heterogeneous process that shapes novice learners' self-beliefs and motivation in computing. Our Debugging by Design intervention (…
Conceptualizing Approaches to Critical Computing Education: Inquiry, Design and Reimagination
Luis Morales-Navarro, Yasmin B. Kafai
As several critical issues in computing such as algorithmic bias, discriminatory practices, and techno-solutionism have become more visible, numerous efforts are being proposed to…