Results 131 to 140 of about 357,425 (266)

Learning Outcomes of Psychomotor Domains in Welding Technology: VR Welding Kit Assessment: A Systematic Literature Review

Ardian Arifin, Nur Hazirah Noh Seth, Norziha Megat Mohd. Zainuddin, Habibah Norehan Haron   +3 more
openalex   +2 more sources

THE INFLUENCE OF LEARNING MODEL AND SCHOOL ORIGIN ON PSYCHOMOTOR OUTCOMES ISLAMIC FAITH AND MORALITY

, 2023
Muhammad Polem, Afrilia Dwi Cahya, Ali Akbarjono, Rahayu Kariadinata, Adam Malík   +4 more
openalex   +1 more source

Factors Contributing to Screen Exposure in Preschool Children and Its Associated Outcomes: A Systematic Review

Child: Care, Health and Development, Volume 52, Issue 2, March 2026.
ABSTRACT Objectives This systematic review aims to synthesise the current evidence on risk and protective factors that lead to prolonged screen exposure, and to identify both adverse and positive developmental outcomes associated with that screen exposure in preschool children. Materials and Methods Following PRISMA 2020 guidelines, a systematic search
Maria Inês Gomes, Helena Sousa, Marisa Lousada, Daniela Figueiredo   +3 more
wiley   +1 more source

Teaching for Critical Thinking in Vocational Education and Training

International Journal of Training and Development, Volume 30, Issue 1, Page 93-103, March 2026.
ABSTRACT Due to the increasing complexity of the demands of the job market, the importance of generic competencies in pupils is increasingly emphasised in secondary vocational education programmes. In this context, critical thinking competency has been highlighted as the one that enables pupils to act as autonomous, competent, independent and ...
Bojana Vignjević Korotaj, Iva Buchberger   +1 more
wiley   +1 more source

Exploring the multifaceted learning benefits of video gaming among female university students in Saudi Arabia. [PDF]

Sci Rep
Alwhaibi RM, Alanzan R, Aldamok R, Aldafas L, Alanazi R, Alwahibi A, Mortada E, Aygun Y.   +7 more
europepmc   +1 more source

Impact of Suaahara, an integrated nutrition programme, on maternal and child nutrition at scale in Nepal

Maternal &Child Nutrition, Volume 22, Issue 1, March 2026.
Suaahara, relative to comparison areas, reduced maternal underweight and improved complementary feeding practices with children 6–23.9 months of age, increasing the percentages of children having minimum dietary diversity, minimum meal frequency and minimum acceptable diet; feeding sick child more and administering oral rehydration solution and zinc ...
Edward A. Frongillo, Shalini Suresh, Deependra K. Thapa, Kenda Cunningham, Pooja Pandey Rana, Ramesh P. Adhikari, Subir Kole, Bhim Pun, Indra Kshetri, Debendra P. Adhikari, Rolf Klemm   +10 more
wiley   +1 more source

Evaluating the effectiveness of disaster nursing programs based on Bloom's taxonomy: a meta-analysis. [PDF]

BMC Nurs
Lee SJ, Kim KJ.
europepmc   +1 more source

Lung Ultrasound Training: A Scoping Review of Educational Interventions and Outcomes

Australasian Journal of Ultrasound in Medicine, Volume 29, Issue 1, February 2026.
ABSTRACT Background Lung ultrasound (LUS) is increasingly recognised as an essential diagnostic and monitoring tool in acute and critical care. As its use grows, understanding how LUS education is designed, delivered, and evaluated for practicing healthcare professionals has become essential.
Patrick Lavoie, Maude Crétaz, Élisabeth Quesnel, Jessica Van Tassel, Claudie Roussy, Christina Dagher, André Denault, Tanya Mailhot   +7 more
wiley   +1 more source

Flipped Classroom Model for Cardiopulmonary Resuscitation Training Among Novice Nursing Students in Oman: Exploratory Quasi-Experimental One-Group Pretest/Post-Test Design. [PDF]

SAGE Open Nurs
Natarajan J, Rajjoub RA, Tawfik WK, Gangadharan S, Sreekala RP, Al Buraiki HA, Al Shibli AMK, Seshan V, Kavumpurath J.   +8 more
europepmc   +1 more source

Machine learning methods for predicting adverse drug events: A systematic review

British Journal of Clinical Pharmacology, Volume 92, Issue 2, Page 422-444, February 2026.
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo, Fatemeh Ahmadi, Mohammad Ali Omrani, Sheikh S. Abdullah, Neda Rostamzadeh, Atefeh Jafari, Lujain Izzedin, Kamran Sedig, Flory T. Muanda   +8 more
wiley   +1 more source