🏷️ human-ai-collaboration
15 pages tagged with human-ai-collaboration(13 articles, 2 concepts)
📄 Making AI-Generated Feedback Matter: From Provision to Student Enactment
> **Synthesis:** Alsaiari et al. (2026) report a large-scale quasi-experimental cohort study (13,037 students; 51,296 student-authored resources) comparing three AI-mediated feedback workflows. Studen…
📄 Beyond Output Metrics: Reframing AI-Assisted Vocal Pedagogy Through Human Learning and Educational Value
> **Synthesis:** Li (2026) presents a conceptual Perspective arguing that AI-assisted vocal pedagogy should be evaluated not by how precisely AI measures vocal output (pitch, stability, timing) but by…
🏷️ Learner Agency
> **Learner agency** — the capacity of learners to act intentionally, make choices, and exercise control over their own learning. In AI in education, agency is a central concern because AI tools can b…
🏷️ Trust Calibration
> **Trust calibration** — the metacognitive capacity to align one's confidence in an AI system with its actual reliability in a given context, knowing when to trust and when to question its output. Tr…
📄 Exploring AI-Supported Disciplinary Mediation in Student Project Teams' Text-Based Communication
> **Synthesis:** Cheng, Chung, Chiu, Lin & Liao (2026) present Spritz, a Discord-based [[llm]] technology probe that mediates disciplinary boundaries in interdisciplinary student project teams, findin…
📄 Chat Debugging: An Exploratory Study of Human-AI Collaboration to Debug Analog Circuits
> **Synthesis:** This exploratory study investigates how undergraduates use [[llm|LLMs]] to debug malfunctioning analog circuits under exam conditions, identifying both promising [[human-ai-collaborat…
📄 Agreement Is Not Quality: Blind Expert Verification of Human and LLM Qualitative Coding When Human Consensus Is Not Ground Truth
> **Alex Liu, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He, Min Sun** — arXiv preprint (2026).…
📄 The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise
> **Nolan Lovett** — Human Resource Development Review (author accepted manuscript, 2026).…
📄 Unanticipated Effects of Generative AI on Expertise Pathways and Performance Perception in System Administration
> **Rana Abou Khamis, Hala Assal, Ashraf Matrawy** — arXiv preprint (2026).…
2026-08-03 · generative-ai, professional-training, cognitive-offloading, over-reliance, lifelong-learning
📄 Human-LLM Collaborative Inductive Coding for Conceptualizing K-12 Educator AI Use
> **Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He** — arXiv preprint (2026).…
📄 To Facilitate or not to Facilitate: Human and LLM Facilitator Tendencies in Online Discussions
> **Dimitris Tsirmpas, Katerina Korre, John Pavlopoulos** — arXiv preprint (2026).…
📄 Uncovering Students' Mental Models of Generative Artificial Intelligence
This study investigates how students conceptualize generative AI (GenAI) and how those mental models shape their academic integration. A student's mental model of GenAI — their beliefs about what it c…
📄 Co-Creating Buildable and Open Social Robot Study Companions with University Students
> **Farnaz Baksh, Matevz B. Zorec, Feiazie Baksh, Karl Kruusamae** (2026). ICSR + ART 2026, London…
📄 Exploring How Agent Voice Accents Shape Human-AI Collaboration in K-12 Group Learning
**Ravi, Stevens, Hurt, Hanks, Lin & Anderson (2026)**. Ravi et al. investigate how the voice accent of a [[generative-ai]] conversational peer agent shapes learners' perceptions, trust, and interactio…
📄 Generativism: Toward a Learning Theory for the Age of Generative Artificial Intelligence
**Li & Zheng (2026)**. Li & Zheng argue that the four dominant learning theories — behaviorism, cognitivism, constructivism, and connectivism — show significant conceptual limitations as [[generative-…