Asynchronous Distance Learning Performance and Knowledge Retention of the National Institutes of Health Stroke Scale Among Health Care Professionals Using Video or e-Learning: Web-based Randomized ...

Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

The emergence of tools like ChatGPT complicates the ability of instructors to assess genuine learning, raising concerns about the future of this educational model. The COVID pandemic accelerated the ...

Background: Critical thinking is a crucial skill in the nursing profession and must be fostered through nursing education. Simulation-based learning (SBL) with technological modalities is a ...

Ohio State may offer university-wide asynchronous classes on every federal general election day as part of an effort to encourage civic engagement if university leadership approves the resolution.

Pāʻia School, file photo by Wendy Osher. Pāʻia Elementary School will remain closed to students and staff through Friday, Oct. 3, as post-fire restoration efforts continue. While the campus did not ...

During the pandemic, many students were exposed to a “new” kind of coursework that has existed at colleges for years: classes where all instruction is conducted virtually, rather than in a physical ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Introduction: In online learning context, achievement emotions are of great significance and exert an influence on students’ learning performance. However, the research conclusions about the impact of ...

Reinforcement Learning RL is increasingly used to enhance LLMs, especially for reasoning tasks. These models, known as Large Reasoning Models (LRMs), generate intermediate “thinking” steps before ...