31 citations · 42 across the 9 of their papers we have counts for
9 papers
Understanding teens' self-beliefs when learning to construct and deconstruct AI/ML systems: Developing a survey instrument
Luis Morales-Navarro, Deborah Fields, Michael T. Giang +3
Despite growing calls to foster AI literacy, there are few available survey instruments designed for children and youth that study computational empowerment alongside construction…
Building to Understand: Examining Teens' Technical and Socio-Ethical Pieces of Understandings in the Construction of Small Generative Language Models
Luis Morales-Navarro, Daniel J. Noh, Lucianne Servat +3
The rising adoption of generative AI/ML technologies increases the need to support teens in developing AI/ML literacies. Child-computer interaction research argues that constructio…
Rapid Testing, Duck Lips, and Tilted Cameras: Youth Everyday Algorithm Auditing Practices with Generative AI Filters
Lauren Vogelstein, Vedya Konda, Deborah Fields +3
Today's youth have extensive experience interacting with artificial intelligence and machine learning applications on popular social media platforms, putting youth in a unique posi…
Learning AI Auditing: A Case Study of Teenagers Auditing a Generative AI Model
Luis Morales-Navarro, Michelle Gan, Evelyn Yu +3
This study investigates how high school-aged youth engage in algorithm auditing to identify and understand biases in artificial intelligence and machine learning (AI/ML) tools they…
What Can Youth Learn About Artificial Intelligence and Machine Learning in One Hour? Examining How Hour of Code Activities Address the Five Big Ideas of AI
Luis Morales-Navarro, Yasmin B. Kafai, Eric Yang +1
The prominence of artificial intelligence and machine learning in everyday life has led to efforts to foster AI literacy for all K-12 students. In this paper, we review how Hour of…
Assessing Changes in Thinking about Troubleshooting in Physical Computing: A Clinical Interview Protocol with Failure Artifacts Scenarios
Luis Morales-Navarro, Deborah A. Fields, Yasmin B. Kafai +1
Purpose: The purpose of this paper is to examine how a clinical interview protocol with failure artifact scenarios can capture changes in high school students' explanations of trou…
Unpacking Approaches to Learning and Teaching Machine Learning in K-12 Education: Transparency, Ethics, and Design Activities
Luis Morales-Navarro, Yasmin B. Kafai
In this conceptual paper, we review existing literature on artificial intelligence/machine learning (AI/ML) education to identify three approaches to how learning and teaching ML c…
Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of Machine Learning Applications
Luis Morales-Navarro, Yasmin B. Kafai, Vedya Konda +1
As artificial intelligence/machine learning (AI/ML) applications become more pervasive in youth lives, supporting them to interact, design, and evaluate applications is crucial. Th…
Twenty Constructionist Things to Do with Artificial Intelligence and Machine Learning
Yasmin Kafai, Luis Morales-Navarro
In this paper, we build on the 1971 memo "Twenty Things to Do With a Computer" by Seymour Papert and Cynthia Solomon and propose twenty constructionist things to do with artificial…