As AI accelerates marketing change, content teams need agility. Learn how people, process, and platform form the foundation ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

Abstract: The increasing complexity of educational challenges in technical disciplines highlights the need for personalized learning systems to address diverse student needs. Traditional methods, ...

Sometimes the smartest answer isn’t the most technical one. This collection highlights ingenious fixes that cut through ...

For elementary students, math problem-solving often feels like a puzzle without all the pieces. They know there’s a solution somewhere, but they can’t quite see how it all fits together. Behind every ...

Microplastics seem to be everywhere—in the air we breathe, the water we drink, the food we eat. They have turned up in human organs, blood, testicles, placentas and even brains. While the full health ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The great challenge in teaching analytical chemistry today is to ensure the learning ...

Employers are drowning in AI-generated job applications, with LinkedIn now processing 11,000 submissions per minute—a 45 percent surge from last year, according to new data reported by The New York ...

Interdisciplinary thematic learning, driven by thematic tasks and real-world problems, is an effective vehicle for cultivating students' problem-solving skills and individual development. However, ...