For the past three months, The Chronicle‘s reporters have been writing a series of articles collectively titled Measuring Stick, describing the consequences of a higher-education system that refuses ...

Each day, as students enter my biology classroom, someone will inevitably ask the question, “What are we doing today?” My response always attempts to shift their frame of thought from the ...

The coronavirus pandemic supercharged efforts to create new schools and school models. Learning pods, microschools, homeschool co-ops, hybrid homeschools, forest schools, and other efforts that defy ...

Colleges have increased the number of ways they assess their students’ learning, but their use of the data to inform changes in curriculum has not kept pace, according to a report released on Tuesday.

When the Every Student Succeeds Act was enacted, speculation swirled that states might use it as a launching pad to use measures of students’ social and emotional competencies to determine whether ...

It's not a new question, but it's certainly a divisive one -- how to best measure student learning. As the Department of Education works toward finding a way to assess student learning beyond what ...

In preparing students for the world outside school, what skills are important to learn? This goes to the heart of the research addressed in the Deeper Learning Report released by the National Research ...

Remember, learning has one purpose: to help us become better at something. If we are not measuring this in terms of what we are expected to do, and our learning experiences do not explicitly cover ...

Counting the grains of learning. Meanwhile, one of the widespread criticisms of online schools is a CREDO study which found that cyberschool students lost 72 days of learning in reading and a whopping ...

The Hechinger Report covers one topic: education. Sign up for our newsletters to have stories delivered to your inbox. Consider becoming a member to support our nonprofit journalism. In the education ...

In the introductory overview, we highlighted the significant problems and false positives that accompany current Large Language Model (LLM) detection tools. The inability to identify LLM output, plus ...