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 ...

Introduction: The purpose of this study is to identify distance students’ learning strategies and styles and find out the effect of their learning styles on their learning strategies in higher ...

The Department of Education revisited proposed changes to asynchronous clock, credit-hour, and subscription-based programs in distance education. In previous years, the Department of Education’s final ...

Ashley Gunter receives funding from, The Arts and Humanities Research Council UK, British Academy UK, National Research Foundation, Newton Fund UK. Across Africa, distance education has become one of ...

Zayd Abukar from Educational Advisory Board will guide attendees through an exploration of who today’s adult learners are—their motivations, their constraints and how their pathways through higher ...

STARKVILLE, Miss.—Mississippi State Online is recognizing the success of its students and the continued growth of its distance education programs during National Distance Learning Week, Nov. 3–7.

It is the modern techno-zombie idea, sometimes animated by misplaced enthusiasm and other times animated by cold hard necessity. Couldn’t we just use tech tools so that this teacher way over here ...

Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. A Los Angeles Unified School District student ...

The New York Court of Appeals' waiver applies to students who are unable to enter the U.S. before the start of the fall semester and are issued a visa on or before Oct. 3. New York's top court will ...

As virtual reality technology continues to develop, more colleges and universities are integrating it into the student experience inside and outside of the classroom. A recent survey of chief ...

VML introduces a new framework of machine learning. Unlike conventional machine learning models that are typically optimized over a continuous parameter space, VML constrains the parameter space to be ...