Results 71 to 80 of about 247,520 (248)

Negotiating University, Fulfilling the Dream: The Case of Black Students

Genealogy
The experiences of Black students in Canadian higher education shed light on the societal and institutional challenges that influence their social and economic aspirations.
Carl E. James, Michael Asres
doaj   +1 more source

Book review:Technology-enhanced professional learning: process, practices and tools. London & New York: Routledge (Edited by Alison Littlejohn and Anoush Margaryan, 2014)

Journal of Interactive Media in Education, 2014
The editors’ objective for this collection is ‘to stimulate the development of an integrated domain of technology-enhanced professional learning’.
Steve Walker
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Technology-Enhanced Learning in the Education of Oncology Medical Professionals: A Systematic Literature Review. [PDF]

J Cancer Educ, 2023
Kulaksız T, Steinbacher J, Kalz M.
europepmc   +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

Arthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart, Anne Horne, Angelo Gaffo, Lisa K. Stamp, N. Lawrence Edwards, Nicola Dalbeth   +5 more
wiley   +1 more source

Editorial. Teacher education for effective technology integration

Italian Journal of Educational Technology, 2018
About a decade ago, several researchers used Shulman’s (1986) framework about Pedagogical Content Knowledge (PCK) – a body of knowledge that constitutes a special amalgam of content, pedagogy, learn- ers, and context – as a theoretical basis for ...
Marina De Rossi, Charoula Angeli
doaj   +1 more source

Technology-Enhanced Learning and Its Association with Motivation to Learn Science from a Cross-Cultural Perspective. [PDF]

J Sci Educ Technol, 2023
Ginzburg T, Barak M.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Influence of primary students' self-regulated learning profiles on their rating of a technology-enhanced learning environment for mathematics. [PDF]

Front Psychol, 2023
Bednorz D, Bruhn S.
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source