Results 191 to 200 of about 78,480 (259)
Trusting Generative AI for Health Advice: Preregistered Survey Experiment. [PDF]
Landrum AR, Verma N, Kehrberg A.
europepmc +1 more source
Abstract This study presents a novel bioeconomy optimization framework, BiOpt, designed to address critical questions regarding the strategic use of limited US biomass resources for biofuel production. By integrating detailed techno‐economic analyses, life cycle assessments, and resource assessment data, BiOpt optimizes resource distributions across ...
Nicholas A. Carlson +3 more
wiley +1 more source
Gauging support for autonomous delivery drones powered by artificial intelligence: A public survey in Singapore. [PDF]
Cheung JC, Ho SS.
europepmc +1 more source
Abstract Aims In the context of pharmacology and toxicology education, there is a growing shift toward programmatic assessment models that prioritize longitudinal learning, reflection and development of higher‐order cognitive skills. As part of this transition, we are exploring alternative and more meaningful forms of assessment. This qualitative study
Narin Akrawi +2 more
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
Authors' academic but not personal expertise or gender affect message credibility in science communication. [PDF]
Ulsperger A +6 more
europepmc +1 more source
Abstract Aims To learn effectively, students need timely, specific, actionable feedback—known as formative feedback—on what and how well they are learning and on how to improve further. Providing effective feedback to help students learn pharmacology is a complex task.
Thomas Anthony Angelo
wiley +1 more source
Network Influence vs. Credibility in YouTube Sleep-Health Communication. [PDF]
Ghahramani A +2 more
europepmc +1 more source
Differentiated trust: navigating credibility landscapes in community-engaged research. [PDF]
Arxer SL.
europepmc +1 more source

