arXiv AI
Jun 4
AI from concrete to abstract: demystifying artificial intelligence to the general public
arXiv:2006. 04013v6 Announce Type: cross Abstract: Artificial Intelligence (AI) has been adopted in a wide range of domains.
How do machines learn? Evaluating the AIcon2abs method
arXiv:2401. 07386v5 Announce Type: cross Abstract: This study expands on previous work that introduced the AIcon2abs method (AI from Concrete to Abstract: Demystifying Artificial Intelligence to the general public), an innovative approach designed to increase public understanding of machine learning (ML) across diverse age groups, including K-12 students, and aims to evaluate its effectiveness.
Related stories
arXiv AI
Jun 18
AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice
arXiv:2606. 18617v1 Announce Type: cross Abstract: There exist numerous tutor training platforms.
arXiv AI
Jul 14
Metacognition in LLMs: Foundations, Progress, and Opportunities
arXiv:2607. 11881v1 Announce Type: cross Abstract: Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-making, communication, and more.
arXiv AI
Jun 12
Generativism: Toward a Learning Theory for the Age of Generative Artificial Intelligence
arXiv:2606. 12441v1 Announce Type: cross Abstract: The four dominant learning theories of behaviorism, cognitivism, constructivism, and connectivism show significant conceptual limitations as generative artificial intelligence (AI) proliferates in educational settings.
arXiv AI
Jul 2
DigitalCoach: Communication and Grounding Gaps in Human and Agentic Computer Use Coaching
arXiv:2606. 31980v1 Announce Type: cross Abstract: Agents are increasingly capable of automating software tasks, but can they teach humans how to use software themselves?
arXiv AI
Jun 2
Beyond One-shot: AI Agents for Learning in Field Experiments
arXiv:2606. 02458v1 Announce Type: new Abstract: Organizations routinely run experiments for A/B testing, yet the data generated from one experiment is underutilized to inform subsequent intervention design.
arXiv AI
Jul 20
A Scaffolded GenAI Lab in Early Undergraduate CS: A Mixed-Methods, Multi-Course Evaluation
arXiv:2505. 00100v2 Announce Type: replace-cross Abstract: Background and Context.
arXiv AI
Aug 3
Human-LLM Collaborative Inductive Coding for Conceptualizing K-12 Educator AI Use
arXiv:2607. 28889v1 Announce Type: cross Abstract: Qualitative researchers increasingly encounter interaction corpora whose scale exceeds what manual coding alone can address, and large language models (LLMs) are frequently proposed as analytic assistants.
arXiv AI
Jun 30
Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images
arXiv:2606. 28510v1 Announce Type: cross Abstract: Across social and online platforms, people are increasingly exposed to AI-generated images.
arXiv AI
Jul 28
How College Students Use AI to Navigate Course Readings: Evidence from an Eight-Week Study
arXiv:2602. 09907v3 Announce Type: replace-cross Abstract: College students increasingly use AI chatbots to support academic reading, yet we lack granular understanding of how these interactions shape their reading experience and cognitive engagement.
arXiv AI
Jun 26
Trust in Generative AI for Health Information Consumption and the Effect of Learned Dependency: An Experimental Investigation
arXiv:2606. 20605v2 Announce Type: replace-cross Abstract: Background: Generative artificial intelligence (GenAI) is increasingly used for health information, yet its influence on users' trust calibration remains unclear.
arXiv AI
Jul 15
Self-Regulated Reading with AI Support: An Eight-Week Study with Students
arXiv:2602. 09907v2 Announce Type: replace-cross Abstract: College students increasingly use AI chatbots to support academic reading, yet we lack granular understanding of how these interactions shape their reading experience and cognitive engagement.