Four types of LLM reliance (Strategic 34.3%, Instrumental 30.9%, Dialogic 30.4%, Dependent 4.5%) were identified among undergraduates, with AI literacy predicting type and value/cost beliefs predicting intensity.
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What is AI Literacy? Competencies and Design Considerations
18 Pith papers cite this work. Polarity classification is still indexing.
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Players exhibit consistent flexibility or specialization behavior across two games with conflicting performance incentives, indicating individual agency dominates structural differences.
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.
Interviews and probe sessions show that mixed reality supports continuous hybrid workflows in UI/UX design, leading to four proposed design dimensions for future MR systems.
Introduces the VET framework to categorize and critique polarized AI narratives including hype, doom, denial, and normalcy.
ML-specific code smells occur 41-94 times less often than general Python smells in 279 projects, with associations to commit frequency and domain but none for general smells or most other project characteristics.
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 four-layer training method coincided with 18–50% faster case processing in two Brazilian government control units using free AI tools and human-in-the-loop review.
Proposes a modular agentic architecture for educational LLMs with stage-specific modules to incorporate pedagogical advice and improve controllability over monolithic chatbots.
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
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.
The paper introduces KI-Adventskalender, an online daily challenge series for data and AI literacy, and reports higher participation in 2025 with persistent early attrition and stabilization after day 12.
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.
DURA framework applied in one CS2 course enabled LLM use for concept clarification and debugging while increasing office hour attendance and improving student perceptions of instructor care.
Self-reported LLM usage frequency associates more consistently with pre-instruction AI perceptions than prior education or self-rated familiarity in graduate trainees.
citing papers explorer
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Four Types of LLM Reliance and Their Predictors Among Undergraduate Writers: A Mixed-Methods Study at a Minority-Serving R1 University
Four types of LLM reliance (Strategic 34.3%, Instrumental 30.9%, Dialogic 30.4%, Dependent 4.5%) were identified among undergraduates, with AI literacy predicting type and value/cost beliefs predicting intensity.
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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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Stitching the Divide: Investigating Mixed Reality as a Bridge Between Paper-Based and Digital Artifacts in UI/UX Design
Interviews and probe sessions show that mixed reality supports continuous hybrid workflows in UI/UX design, leading to four proposed design dimensions for future MR systems.
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VET: A Framework for Analyzing AI Discourse
Introduces the VET framework to categorize and critique polarized AI narratives including hype, doom, denial, and normalcy.
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Comparing ML-Specific and General Python Code Smells Across Project Characteristics
ML-specific code smells occur 41-94 times less often than general Python smells in 279 projects, with associations to commit frequency and domain but none for general smells or most other project characteristics.
-
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.
-
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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The Main Barrier to AI Adoption in the Public Sector Is Lack of Training: How a Structured Method Accompanied Productivity Gains in Two Brazilian Government Cases
A four-layer training method coincided with 18–50% faster case processing in two Brazilian government control units using free AI tools and human-in-the-loop review.
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Modularizing Educational LLM-Agency for Fostering Responsible Learning Assistance
Proposes a modular agentic architecture for educational LLMs with stage-specific modules to incorporate pedagogical advice and improve controllability over monolithic chatbots.
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How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
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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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KI-Adventskalender: An Informal Learning Intervention for Data & AI Literacy
The paper introduces KI-Adventskalender, an online daily challenge series for data and AI literacy, and reports higher participation in 2025 with persistent early attrition and stabilization after day 12.
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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.
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Demystify, Use, Reflect, Assess (DURA): An Experience Report on LLM Integration in CS2
DURA framework applied in one CS2 course enabled LLM use for concept clarification and debugging while increasing office hour attendance and improving student perceptions of instructor care.
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Engagement Intensity as a Learner-Modeling Signal for Adaptive AI Ethics Instruction
Self-reported LLM usage frequency associates more consistently with pre-instruction AI perceptions than prior education or self-rated familiarity in graduate trainees.