Results 51 to 60 of about 32,554 (300)
When AI outputs become documents: Documentation activity in human–AI dialogue
Abstract Large language models (LLMs) generate texts that increasingly circulate as documents in knowledge infrastructures, yet their documentary status remains theoretically underdetermined. Unlike traditional documents, LLM outputs lack identifiable authorship, stable provenance, or testimonial grounding.
Sascha Donner
wiley +1 more source
Recommendations: Enhancing AI Literacy for the United States of America
This report contains recommendations for enhancing AI literacy for the United States of America. Recommendations include prompting the Biden administration to develop a campaign around AI literacy and invest in formal and informal education to advance ...
National Artificial Intelligence Initiative Office. The National AI Advisory Committee
core
Background UNESCO reports that around 70 countries have adopted AI-related strategies, recognizing AI literacy as essential for preparing citizens in an AI-driven world.
Chih-Chan Cheng +3 more
doaj +1 more source
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley +1 more source
AI literacy guidelines and policies for academic libraries: A scoping review
Artificial intelligence (AI) literacy has become an important skill for library and information professionals. This scoping review synthesizes the literature that explores the use of AI literacy to educate academic librarians and library users.
Richardson, Joanna, Ali, Muhammad Yousuf
core +1 more source
Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
Student perspectives on AI‐supported formative assessment in pharmacology
Abstract Aims High‐quality feedback is crucial for helping medical students understand and apply core concepts of pharmacology, yet personalized feedback is resource‐intensive to produce. Artificial intelligence (AI) offers a potential solution, but little is known about students' perspectives on AI‐generated feedback.
Jon Andsnes Berg +6 more
wiley +1 more source
Feedback is the most powerful driver of learning, but it can afford variable effects depending on the method used. The design of feedback for computer‐based assessment—now increasingly prevalent in higher education—remains relatively underexplored, particularly for pharmacology education.
Claire Y. Hepburn
wiley +1 more source
This chapter introduced various models of AI literacy education, in particular building on the twenty-first century skills framework to comprise important digital skill sets in today’s digital world. Such skills are essential given the challenges brought
Leung, Jac Ka Lok +5 more
core +1 more source
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran +2 more
wiley +1 more source

