Players exhibit consistent flexibility or specialization behavior across two games with conflicting performance incentives, indicating individual agency dominates structural differences.
What is AI Literacy? Competencies and Design Considerations,
9 Pith papers cite this work. Polarity classification is still indexing.
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Participatory design with high school students and teachers around generative AI produced three practices for critical AI literacy: unsettling assumptions, mutual learning via complementary expertise, and grounding critique in cultural knowledge and creative practice.
The Reliance Negotiation Framework models student LLM reliance in writing as recursive negotiation among perceived benefits, risks, ethical commitments, and situational demands, including a separate non-negotiation path for strong ethical commitments.
Creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative freedom, even when guidance aids AI literacy.
An open-source platform integrates LEGO robotics with web visualizations to teach KNN, linear regression, and Q-learning to middle and high school students, with pre-post surveys showing improved self-reported understanding after a two-day course.
Interviews reveal a four-stage vibe coding workflow that accelerates prototyping while introducing tensions between quick efficiency and reflective design intention, plus asymmetries in trust and ownership.
A narrative review of AI language technologies in multilingual healthcare identifies performance gaps in safety and equity and proposes seven grand challenges centered on reliability, human oversight, and cross-disciplinary collaboration.
A participatory workshop showed teens developing technical and socio-ethical understandings while constructing small generative LMs, offering evidence and a theory-backed framing for studying novice AI comprehension.
A university course design enables non-technical students across majors to reach the Create level of Bloom's taxonomy by repeatedly applying a problem-data-model-evaluation-reflection pipeline with concurrent ethics training and hands-on studios.
citing papers explorer
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Change is Hard: Consistent Player Behavior Across Games with Conflicting Incentives
Players exhibit consistent flexibility or specialization behavior across two games with conflicting performance incentives, indicating individual agency dominates structural differences.
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Emergent Technology, Emergent Critique: Students and Teachers Developing Critical AI Literacy through Participatory Design around Generative AI
Participatory design with high school students and teachers around generative AI produced three practices for critical AI literacy: unsettling assumptions, mutual learning via complementary expertise, and grounding critique in cultural knowledge and creative practice.
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The Reliance Negotiation Framework: A Dynamic Process Model of Student LLM Engagement in Academic Writing
The Reliance Negotiation Framework models student LLM reliance in writing as recursive negotiation among perceived benefits, risks, ethical commitments, and situational demands, including a separate non-negotiation path for strong ethical commitments.
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How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy
Creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative freedom, even when guidance aids AI literacy.
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Teaching Machine Learning Fundamentals with LEGO Robotics
An open-source platform integrates LEGO robotics with web visualizations to teach KNN, linear regression, and Q-learning to middle and high school students, with pre-post surveys showing improved self-reported understanding after a two-day course.
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Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration
Interviews reveal a four-stage vibe coding workflow that accelerates prototyping while introducing tensions between quick efficiency and reflective design intention, plus asymmetries in trust and ownership.
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Artificial intelligence language technologies in multilingual healthcare: Grand challenges ahead
A narrative review of AI language technologies in multilingual healthcare identifies performance gaps in safety and equity and proposes seven grand challenges centered on reliability, human oversight, and cross-disciplinary collaboration.
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Building to Understand: Examining Teens' Technical and Socio-Ethical Pieces of Understandings in the Construction of Small Generative Language Models
A participatory workshop showed teens developing technical and socio-ethical understandings while constructing small generative LMs, offering evidence and a theory-backed framing for studying novice AI comprehension.
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From Understanding to Creation: A Prerequisite-Free AI Literacy Course with Technical Depth Across Majors
A university course design enables non-technical students across majors to reach the Create level of Bloom's taxonomy by repeatedly applying a problem-data-model-evaluation-reflection pipeline with concurrent ethics training and hands-on studios.