“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.
Artificial intelligence can generate information in seconds, but it cannot replace human judgment. Education’s responsibility is not simply to teach students how to use AI, but how to think critically, evaluate responsibly, and exercise discernment in an AI-rich world.
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.
In education, urgency is often treated as a virtue. However, meaningful improvement inside complex systems rarely happens through rushed implementation or constant initiative shifts. Sustainable growth requires stability, coherence, and leadership willing to protect the work long enough for it to matter.
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.
Statewide assessments don’t answer every question, but they can reveal meaningful patterns over time. The key is asking questions aligned to what the data is actually designed to show.
Statewide assessments provide valuable system-level insights, but only when used correctly. Learn what test results can and cannot tell us about student learning.
