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 ...

Learn how to develop and register a feature set, the first tutorial in a series on using managed feature store in Azure Machine Learning. In this tutorial series, you learn how to use the managed ...

Abstract: Most current session-based recommendations model session sequences solely based on the user's target behavior, ignoring the user's hidden preferences in auxiliary behaviors. Additionally, ...

Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...

Parents visiting their children’s kindergarten class for the first time may think they’ve arrived at the wrong room, especially if they expect it to resemble the kindergarten they attended as ...

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 ...

When educators panic about artificial intelligence in the classroom, they often fall back on a familiar definition of learning: a change in long-term memory. It sounds scientific. It gives the ...

University students are often sedentary due to classroom designs that limit opportunities for movement. However, more activity can improve students’ mental-health and academic results. This study ...

The findings offer insights into students’ experiences during the PBL process and highlight how these experiences foster the development of cross-cutting skills applicable to various domains of life.

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 ...

Abstract: Motor imagery (MI) electroencephalogram (EEG) signals exhibit cross-session variability, which hinders traditional EEG classification models from achieving satisfactory performance in ...