Results 221 to 230 of about 398,547 (348)
The role of generative AI in collaborative problem‐solving of authentic challenges
Abstract This study investigates undergraduate and postgraduate teamwork in a four‐week ‘Generative AI for Social Good’ hackathon, focusing on how students use GAI tools in authentic problem‐solving within their learning ecology. It examines the factors that foster productive collaboration and explores evidence of AI extending human cognition beyond ...
Nancy Law +7 more
wiley +1 more source
Using WhatsApp for vaccine promotion in low- and middle-income countries: practitioner-informed perspectives. [PDF]
Jamison A +7 more
europepmc +1 more source
Abstract The present study examined the roles of interconnectedness and mindfulness in collective action participation and the motivations underlying the participation. Two studies were conducted. In Study 1, 377 participants completed measures of mindfulness, interconnectedness, collective action intention and participation at baseline, with 308 and ...
Floria H. N. Chio +2 more
wiley +1 more source
Objective To describe the development and validation of the Prostate Cancer Electronic Health (eHealth) Literacy Instrument (P‐CeHLI). This is in response to: (i) a lack of clear and validated eHealth literacy measurement for men with prostate cancer; (ii) the unique information processing, decision making, and digital communication experience of men ...
Stuart Robert Jackson +6 more
wiley +1 more source
WhatsApp-Based Intervention for Diabetes Prevention and Care in Argentina: Implementation and Process Evaluation. [PDF]
Nejamis A +6 more
europepmc +1 more source
Uses and Gratifications Theory dalam Media Sosial WA (WhatsApp)
Ludwiq Suparmo
openalex +1 more source
WhatsApp Goes to School: Mobile Instant Messaging between Teachers and Students [PDF]
Dan Bouhnik, Mor Deshen
openalex +1 more source
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley +1 more source

