Youth as Advisors in Participatory Design: Situating Teens' Expertise in Everyday Algorithm Auditing with Teachers and Researchers
- URL: http://arxiv.org/abs/2504.07202v2
- Date: Fri, 11 Apr 2025 16:26:55 GMT
- Title: Youth as Advisors in Participatory Design: Situating Teens' Expertise in Everyday Algorithm Auditing with Teachers and Researchers
- Authors: Daniel J. Noh, Deborah A. Fields, Luis Morales-Navarro, Alexis Cabrera-Sutch, Yasmin B. Kafai, DanaƩ Metaxa,
- Abstract summary: We situate youth as advisors to a group of high school computer science teacher- and researcher-designers creating learning activities.<n>Specifically, we explore algorithm auditing as a potential entry point for youth and adults to critically evaluate generative AI algorithmic systems.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: 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 this work, we situate youth as advisors to a group of high school computer science teacher- and researcher-designers creating learning activities in the context of emerging technologies. Specifically, we explore algorithm auditing as a potential entry point for youth and adults to critically evaluate generative AI algorithmic systems, with the goal of designing classroom lessons. Through a two-hour session where three teenagers (16-18 years) served as advisors, we (1) examine the types of expertise the teens shared and (2) identify back stage design elements that fostered their agency and voice in this advisory role. Our discussion considers opportunities and challenges in situating youth as advisors, providing recommendations for actions that researchers, facilitators, and teachers can take to make this unusual arrangement feasible and productive.
Related papers
- LLM Agents for Education: Advances and Applications [49.3663528354802]
Large Language Model (LLM) agents have demonstrated remarkable capabilities in automating tasks and driving innovation across diverse educational applications.
This survey aims to provide a comprehensive technological overview of LLM agents for education, fostering further research and collaboration to enhance their impact for the greater good of learners and educators alike.
arXiv Detail & Related papers (2025-03-14T11:53:44Z) - Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications [0.41942958779358674]
algorithm auditing is a method for understanding algorithmic systems' opaque inner workings and external impacts from the outside in.<n>This paper proposes five steps that can support young people in auditing algorithms.
arXiv Detail & Related papers (2024-12-09T20:55:54Z) - Intelligent Tutors for Adult Learners: An Analysis of Needs and Challenges [0.4916390772672078]
This work examines the sociotechnical factors that influence the adoption and usage of intelligent tutoring systems in self-directed learning contexts.
We present Apprentice Tutors, a novel intelligent tutoring system designed to address the unique needs of adult learners.
arXiv Detail & Related papers (2024-11-19T19:05:04Z) - Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions [50.545824691484796]
We identify six themes around the theme challenges and opportunities to improve Software Developer Diversity and Inclusion (SDDI)<n>We identify benefits, harms, and future research directions for the four main themes.<n>We discuss the remaining two themes, Artificial Intelligence & SDDI and AI & Computer Science education, which have a cross-cutting effect on the other themes.
arXiv Detail & Related papers (2024-04-10T16:18:11Z) - Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of Machine Learning Applications [0.44998333629984877]
This paper positions youth as auditors of their peers' machine learning (ML)-powered applications.
In a two-week workshop, 13 youth (ages 14-15) designed and audited ML-powered applications.
arXiv Detail & Related papers (2024-04-08T21:15:26Z) - Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities [52.828843153565984]
AI-based storytelling and reading technologies are becoming increasingly ubiquitous in preschoolers' lives.
This paper investigates how they function in practical storytelling and reading scenarios and, how parents, the most critical stakeholders, experience and perceive them.
Our findings suggest that even though AI-based storytelling and reading technologies provide more immersive and engaging interaction, they still cannot meet parents' expectations due to a series of interactive and algorithmic challenges.
arXiv Detail & Related papers (2024-01-24T20:55:40Z) - Artificial Intelligence for Scientific Research: Authentic Research Education Framework [6.772344064510275]
We implement a program in which teams of students with complementary skills develop useful artificial intelligence (AI) solutions for researchers in natural sciences.
Our approach also directly benefits scientists, who get an opportunity to evaluate the usefulness of machine learning for their specific needs.
arXiv Detail & Related papers (2022-09-19T16:50:05Z) - Teachable Reinforcement Learning via Advice Distillation [161.43457947665073]
We propose a new supervision paradigm for interactive learning based on "teachable" decision-making systems that learn from structured advice provided by an external teacher.
We show that agents that learn from advice can acquire new skills with significantly less human supervision than standard reinforcement learning algorithms.
arXiv Detail & Related papers (2022-03-19T03:22:57Z) - All Together Now: Teachers as Research Partners in the Design of Search
Technology for the Classroom [3.7448613209842967]
We showcase the value of involving teachers in all aspects related to the design of search tools for the classroom.
We share insights on the role of the experts-in-the-loop, i.e., teachers who provide the connection between search tools and students.
arXiv Detail & Related papers (2021-05-08T14:25:44Z) - Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI)
Curriculum [58.86139968005518]
The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created an AI curriculum for pre-tertiary education.
A team of 14 professors with expertise in engineering and education collaborated with 17 principals and teachers from 6 secondary schools to co-create the curriculum.
The co-creation process generated a variety of resources which enhanced the teachers knowledge in AI, as well as fostered teachers autonomy in bringing the subject matter into their classrooms.
arXiv Detail & Related papers (2021-01-19T11:26:19Z) - Is 40 the new 60? How popular media portrays the employability of older
software developers [78.42660996736939]
We analyzed popular online articles and related discussions on Hacker News through the lens of employability issues and potential mitigation strategies.
We highlight the importance of keeping up-to-date, specializing in certain tasks or technologies, and present role transitions as a way forward for veteran developers.
arXiv Detail & Related papers (2020-04-13T10:00:03Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.