Výsledky vyhledávání - "SOLYST, JAEMARIE"

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Children's Overtrust and Shifting Perspectives of Generative AI

Autor: Solyst, Jaemarie, Yang, Ellia, Xie, Shixian, Hammer, Jessica, Ogan, Amy, Eslami, Motahhare

Publikováno v: Proceedings of the 18th International Scoeity of the Learning Sciences (ICLS) 2024

The capabilities of generative AI (genAI) have dramatically increased in recent times, and there are opportunities for children to leverage new features for personal and school-related endeavors. However, while the future of genAI is taking form, the

Externí odkaz: http://arxiv.org/abs/2404.14511

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Comparative Design-Based Research: How Afterschool Programs Impact Learners' Engagement with a Video Game Codesign

Autor: Solyst, Jaemarie, Uchidiuno, Judith Odili, Harpstead, Erik, Kemper, Jonaya, Higashi, Ross

Publikováno v: International Society of the Learning Sciences 2023

Community-based afterschool programs are valuable spaces for researchers to codesign technologies with direct relevance to local communities. However, afterschool programs differ in resources available, culture, and student demographics in ways that

Externí odkaz: http://arxiv.org/abs/2307.11903

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Making Sense of Machine Learning: Integrating Youth's Conceptual, Creative, and Critical Understandings of AI

Publikováno v: Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023

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 people interact with machine learning powered applications everyday; while

Externí odkaz: http://arxiv.org/abs/2305.02840

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Investigating Girls' Perspectives and Knowledge Gaps on Ethics and Fairness in Artificial Intelligence in a Lightweight Workshop

Autor: Solyst, Jaemarie, Axon, Alexis, Stewart, Angela E. B., Eslami, Motahhare, Ogan, Amy

Publikováno v: Proceedings of the 16th International Society of the Learning Sciences (ICLS) 2022, pages 807-814

Artificial intelligence (AI) is everywhere, with many children having increased exposure to AI technologies in daily life. We aimed to understand middle school girls' (a group often excluded group in tech) perceptions and knowledge gaps about AI. We

Externí odkaz: http://arxiv.org/abs/2302.13947

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