Student information includes information collected about students by schools, states and third-party providers. Learn what it includes, when information becomes personally identifiable and why recognizing what can identify a student matters.
Educational products promise personalized learning, actionable data and improved achievement. Those claims may be true, but leaders still need evidence that matches the claim, demonstrates learning beyond the product and reflects implementation conditions they can realistically reproduce.
Assessment and testing are often treated as interchangeable, but they aren’t the same thing. A test is one way to gather evidence. Assessment is the larger process of determining what we need to understand, gathering and interpreting evidence and deciding what happens next.
Year-over-year test scores can reveal meaningful patterns, but small changes do not automatically explain what caused them. Responsible interpretation requires context, implementation evidence and the patience to distinguish sustained improvement from ordinary variation.
“Snake-breeding behavior” occurs when people optimize measure outcomes while undermining the purpose the measure was created to serve. Through the lens of Compassionate Assessment, Dr. Mary Cochron explains how this pattern emerges and why leaders must continually return to purpose.
Data meetings often begin with scores and end with conclusions. Meaningful interpretation requires something more: implementation evidence, context, and the discipline to stay curious longer before rushing to judgment.
Educational systems often assume implementation happened without ever examining whether new practices became stable, coherent, and meaningful experiences for students. Understanding implementation requires looking beyond compliance and into the daily realities of classrooms.
Educational systems often rush to evaluate outcomes before understanding whether new initiatives were implemented consistently. Before looking for growth, leaders should first ask whether the work itself has actually taken hold.
Assessment data is often technically sound yet still misused. The problem is rarely the numbers themselves — it’s the urgency, pressure, and human systems surrounding them.
