Results 201 to 210 of about 62,964 (261)

Experiences of Diagnostic Radiography Students With Workplace‐Based and Online Learning During the COVID‐19 Pandemic: A Study Across Four Higher Education Institutions in South Africa

open access: yesJournal of Medical Radiation Sciences, EarlyView.
This study explored diagnostic radiography students' learning experiences during COVID‐19 across four South African Higher Education Institutions. Themes included challenges with clinical placements, PPE and online learning, as well as inclusive learning enablers. Findings inform strategies to support students during future crises.
Siyabonga Goodwill Hadebe   +2 more
wiley   +1 more source

Student Perceptions of the Implementation of Novel Sonography Phantoms in Radiography Curricula: A Mixed Methods Study

open access: yesJournal of Medical Radiation Sciences, EarlyView.
Anthropomorphic sonography phantoms can assist radiography students with understanding the theoretical principles of sonography. We examined students' perceptions of participating in tutorials which required students to use four sonography phantoms.
Jad Boutros, Susan Said, Jillian Clarke
wiley   +1 more source

Disrupting the Chain of Displaced Aggression: A Review and Agenda for Future Research

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT Displaced aggression refers to instances in which a person redirects their harm‐doing behavior from a primary to a secondary, substitute target. Since the publication of the first empirical article in 1948, there has been a noticeable surge in research referencing this theory in both management and psychology journals.
Constantin Lagios   +4 more
wiley   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher   +3 more
wiley   +1 more source

Computational modeling of rhythmic expectations: Perspectives, pitfalls, and prospects. [PDF]

open access: yesPLoS Comput Biol
Damsma A   +8 more
europepmc   +1 more source

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