This tech tool can turn any video into an interactive learning experience that engages students—and gives teachers instant insights into their level of understanding.

This study explores the potential of applying machine learning (ML) methods to identify and predict areas at risk of food insufficiency using a parsimonious set of publicly available data sources. We ...

He began his career with the Public Schools of Robeson County (PSRC) as a seventh-grade math teacher. Earlier in his journey as a classroom teacher, Locklear recalled an assistant principal stating ...

Selected as one of the top applications from over 1,600 submissions, LearnWise AI wins the Bronze Award in the AI in ...

(KNSI) – St. Cloud Area School District 742 hosted a summit on Friday to reimagine what learning could look like in the years ...

It can be more difficult to identify what kids are learning in cyber schools, in general, but the challenge is more severe at ...

Overview of the SAFAL Assessment The SAFAL Assessment is a new initiative aimed at evaluating children's comprehension, critical thinking, and problem-solving abilities. This assessment aligns with ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Abstract: Cerebral stroke is a major global health issue, contributing to high mortality and long-term disability. Early identification of individuals at high risk of stroke can significantly improve ...

A recent EdWeek Research Center survey found that 75% of teachers, principals, and district leaders said their schools or ...