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Dr. Audra Kosh began her career in education as an eighth-grade math teacher. After transitioning out of the classroom to pursue her passion for research, Audra completed a Ph.D. in Learning Sciences with a focus on educational measurement and mathematics education at the University of North Carolina at Chapel Hill. Now working as a Research Scientist at Edmentum, Audra does psychometric analyses and assessment research for Edmentum’s suite of assessments.
All Posts by Dr. Audra Kosh
There are lots of different ways to assess student learning, and establishing some common vocabulary provides a framework for identifying the most appropriate ways to use assessment as a part of quality instruction. Two of the most common types are formative assessment and summative assessment. Let’s break those down!
Whenever we use instruments to measure things, whether it’s a yardstick to measure height, a clock to measure drive time, or a test to measure student ability, there is some amount of noise that can result in slightly different measurements each time. That noise is called measurement error. In educational testing, this measurement error is more often referred to as the standard error of measurement—abbreviated “SEM.”
In this video, we’re exploring standard deviation—the statistics term you may (or may not) remember but will find handy when it comes to analyzing your assessment data! Let’s take a closer look at what standard deviation is, and then how you can use it to make sense of your data, starting with a simple definition.