The online language learning market is transforming workforce training and global collaboration for enterprises. Enhanced digital solutions are enabling organizations to upskill talent, drive ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

The pandemic opened the door to HyFlex learning out of necessity and now, in 2025, colleges and universities as well as individual educators are continuing to provide students with the flexibility to ...

The bell rings at 10:00 a.m. A teacher begins explaining quadratic equations. Some students lean forward, pencils ready. Others stare at the clock. A few are still turning yesterday’s lesson over in ...

A dyslexia diagnosis was supposed to offer solutions for a boy named Tobey. His learning difference was first identified in a routine school screening and led to tutors, speech therapy, a ...

Abstract: Asynchronous federated learning (AFL) tackles the straggler effect of traditional synchronous federated learning (SFL). Yet, AFL may face limited (communication, computation, and energy) ...

Houston ISD has paused plans for what state-appointed Superintendent Mike Miles called synchronous learning, a setup where students would learn remotely from another teacher while their own teacher ...

Abstract: Federated learning combined with edge computing has greatly facilitated transportation in real-time applications such as intelligent traffic systems. However, synchronous federated learning ...

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 ...