Results 221 to 230 of about 1,186,313 (324)
Populating and Staying with Methodological Surprise
Abstract This submission shares methodological experiments, cultivated in practices of composting by staying open to a surprise in art and design education research. Openness towards a surprise reduces a need to control a defining momentum of inquiry and instead welcomes composted and layered unknowns through multisensory learning experiences.
Mira Kallio‐Tavin, Mirka Koro
wiley +1 more source
Abstract Art education research in mainland China has evolved considerably over the past decade, influenced by its socio‐cultural, educational and political contexts. This study examined the current methodological trends in this field, using Crotty's scaffolding framework for social research to dissect and critique methodological choices.
Ning Luo
wiley +1 more source
Towards the learning organization: Collective Knowledge Development in the Multimedia Sector
Diane‐Gabrielle Tremblay
openalex +1 more source
Confidence Building Among Correlated Streams in Multimedia Surveillance Systems
Pradeep K. Atrey +2 more
openalex +2 more sources
A Critical Analysis of Immersive Environments: A Methodology for Museum Education
Abstract Due to the COVID‐19 pandemic, museum professionals have adopted various technological resources that have expanded museums into new virtual spaces. These virtual spaces do much more than simply communicate information to visitors and attract them to visit the museum physically: they offer new teaching and learning contexts.
Emma June Huebner
wiley +1 more source
Multimedia Document Structure for Distributed Theatre
Jack Jansen +2 more
openalex +2 more sources
ABSTRACT Objective To explore how regulatory frameworks, material constraints, and systemic conditions influence nursing practice, focusing on the Nursing and Midwifery Council (UK) Code, emotional labour, gendered expectations, and healthcare technology.
Jamie Brian Smith, Rosie Stenhouse
wiley +1 more source
Comparison and Validation of Actigraphy Algorithms Using a Large Community Dataset: Algorithm Validation Study. [PDF]
Panesar D +3 more
europepmc +1 more source

