Critics of standardized testing have often pointed to what they call an obvious flaw; to wit, that achievement data is skewed by how well prepared students are. This new collection method satisfies that:
School reformers are obsessed with data; they say it is the only thing that will tell them what works.
In fact, some educational leaders and key decision makers gather rather mundane data to help them improve their schools. One firm visits classrooms for mere minutes to tally "Critical Teaching Attributes," or behaviors that they say teachers should display. They then quantify those data across the school, month, or year.
What sorts of data would you like to acquire and measure in your classroom? What makes the most sense? What will help you make the most effective instructional decisions?
Value added is designed to account for demographic differences. It looks at the same test results (no new tests are given) but with an eye on how much a student’s performance improved each year. ["School evaluation gets a new tool," Times New Leader]
School reformers are obsessed with data; they say it is the only thing that will tell them what works.
In fact, some educational leaders and key decision makers gather rather mundane data to help them improve their schools. One firm visits classrooms for mere minutes to tally "Critical Teaching Attributes," or behaviors that they say teachers should display. They then quantify those data across the school, month, or year.
What sorts of data would you like to acquire and measure in your classroom? What makes the most sense? What will help you make the most effective instructional decisions?