Earsmus+ Project Partner Meetings and Training at University of Nicosia and Universitat Politècnica de VelènciaEAGLE(Enhancing Higher Education e-Learning Structures and Modules in Conflict Regions of ...

Longer length of initial electronic health record training is strongly correlated with EHR satisfaction, KLAS research has shown. But 80% of newly-hired healthcare personnel are already experienced ...

As educational leaders with a combined experience of over 70 years, we have championed efforts to support collaboration for teachers while finding ourselves in a siloed and often lonely position of ...

Abstract: Optimizer-based meta-learning, specifically model-agnostic meta-learning (MAML), has emerged as a powerful tool for tackling the cold-start recommendation problem. In these ...

Welcome to the Steps to Leaps Learning Modules! Through these specifically designed sessions Boilermakers will find resources focused on enhancing and improving their holistic well-being. Steps to ...

The Cyber Fusion Innovation Center, a.k.a. CFIC, and the Technology and Innovation Center, or ArCTIC, scheduled a collaboration event on June 4 in Georgia to discuss the Department of Defense’s ...

Collaborative learning (CL) and student engagement have been extensively researched. There are few studies on the interaction between college students and its underlying mechanism. This research ...

Indrani Dey is a PhD student in Learning Sciences at the University of Wisconsin-Madison, studying under Dr. Sadhana Puntambekar. At iSAT, she works with Dr. Puntambekar to investigate how students’ ...

Back to U.S. Army Southern European Task Force, Africa TUNIS, Tunisia – A controlled detonation shakes the ground as a cloud of smoke rises over the training range. For explosive ordnance disposal ...

Collaborative giving has surged over the past 10 years. Indeed, nearly half of the 300-plus collaborative funds—entities that pool or channel resources from multiple donors to nonprofits—that ...

Abstract: Deep learning-based methods for hyperspectral image super-resolution (SR) have achieved significant success in recent years. These methods typically consist of feature extraction module (FEM ...