Games-based activities foster active, relaxed learning and collaborative problem-solving. Rebecca Andrew and Sam Chadwick offer guidance on how to design and tailor them to suit a range of needs ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

Abstract: The Capacitated Electric Vehicle Routing Problem (CEVRP) poses a novel challenge within the field of vehicle routing optimization, as it requires consideration of both customer service ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...

Forbes contributors publish independent expert analyses and insights. CEO & Co-author of Mastery - Why Deeper Learning is Essential... For all the talk about the importance of lifelong learning for ...

Forbes contributors publish independent expert analyses and insights. Jean Eddy is the Executive Chair of American Student Assistance. In this third and final article on the report, we’ll highlight ...

Background: Problem-based learning (PBL) has emerged as a transformative educational strategy aimed at enhancing critical thinking in medical education. While some studies suggest PBL significantly ...

As part of my Simply Explained series, I’ve been covering a range of student-centered instructional approaches, from project-based learning to experiential and inquiry-based learning. Today, I cover ...

Education experts are encouraging schools to consider problem-based learning (PBL) in a move to improve engagement and creativity among high school students. New research demonstrates how hands-on, ...

Abstract: Cybersecurity education incorporates a variety of teaching methods such as traditional lectures, lectures combined with hands-on exercises, and concept maps. One of the most well-known ...

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 ...