Results 221 to 230 of about 156,550 (311)

The beauty of experiential learning in anatomy

Anatomical Sciences Education, EarlyView.
Abstract Anatomy is a unique subject where one must learn by doing. This is achieved through a variety of methods like dissection, use of prosections, imaging, playful learning (crocheting structures, drawing, and painting organs), through functional movement like yoga or pilates, use of 3D plastic models or by immersing oneself in virtual or augmented
Bipasha Choudhury, Ingrid Gouldsborough
wiley   +1 more source

Scarcity mindset's positive association with using alternative financial services. [PDF]

PLoS One
Rooney G, Loibl C.
europepmc   +1 more source

Dissection versus prosection by anatomical region: Evaluating a regional group dissection curriculum in medical education

Anatomical Sciences Education, EarlyView.
Abstract Gross anatomy education has undergone significant changes due to evolving curricular demands, leading to reduced hands‐on dissection opportunities in many medical schools. The purpose of this study was to compare the academic performance of medical student dissectors and those assigned to prosection‐based learning across anatomical regions ...
Andrew J. Gaetano, Jason Howard, Luke Ritter, Maha Khan, Nicolas Jozefowski, Eva L. Murdoch   +5 more
wiley   +1 more source

Financial precarity and mental health among French health students: a nationwide cross-sectional study. [PDF]

BMJ Open
Tavolacci MP, Berthelot P, Dellamonica J, Josseran L, Veber B, Ladner J.   +5 more
europepmc   +1 more source

Guidelines for designing and implementing game‐based learning in comparative anatomy education

Anatomical Sciences Education, EarlyView.
Abstract Game‐based learning (GBL) is increasingly used in health professions anatomy education to promote engagement, knowledge acquisition, collaboration, and application of knowledge. However, its application to comparative veterinary anatomy remains fragmented, with limited guidance on how games can be systematically designed around the specific ...
Arthur Chin Haeng Lau, Renato Lopes Previdelli   +1 more
wiley   +1 more source

Nurses carry substantial student loans: health care workforce implications. [PDF]

Health Aff Sch
Friese CR, Khadr L, Marriott DJ, Medvec BR, Titler MG.   +4 more
europepmc   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

BRI DataLab: an AI-assisted research platform for Chinese infrastructure finance. [PDF]

Front Big Data
Koshy SS.
europepmc   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Conceptualizing algorithmic inequality and future agenda. An annual review of information science and technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley   +1 more source