Presentations

Using Administrative Test-Score Data to Study Educational Opportunity in the US

Anonymous — Mon, 15 Apr 2019 19:49:21 +0000

Using Administrative Test-Score Data to Study Educational Opportunity in the US Anonymous (not verified) Mon, 04/15/2019 - 13:49 Benjamin Shear

Keynote address presented by Benjamin Shear at the St John’s University in Queens, New York at the 7th Annual Leadership Symposium on Mar. 16, 2019.

In this talk Dr. Shear will discuss the Stanford Education Data Archive (SEDA), a publicly available dataset containing information about student achievement for nearly all US public school districts. The talk will briefly describe the origin and features of the data, and will then summarize relevant research studies drawing on the data. The discussion will focus on studies that describe educational opportunity in the US at different geographic scales. The talk will consider both the substantive findings of these studies and the role that a large-scale dataset such as SEDA can play for educational administrators, leaders, and researchers.

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Tolerating Approximate Answers about Student Learning

Anonymous — Fri, 08 Jun 2018 19:23:48 +0000

Tolerating Approximate Answers about Student Learning Anonymous (not verified) Fri, 06/08/2018 - 13:23 Derek Briggs

Presented by Derek Briggs at the Oxford University Centre for Educational Assessment on May 24, 2018.

The statistician John Tukey once wrote “Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise.” Some prime examples of vague questions in education, for which only approximate answers are likely available: What are students learning? How much are they learning? Are they learning enough? These questions, which require considerable unpacking, stand in contrast to more precise questions that can be answered with greater confidence: How reliable are the scores on this test? Is a test score high enough to infer mastery of the content domain? Is the score predictive of success on other related tests? These latter questions, while not wrong per se, represent the sorts of things that psychometricians think that people should care about, rather than the sorts of questions they actually care about. There is good reason to debate the appropriate role for psychometrics to play in contexts where there is a desire to make inferences about student growth. In this talk, I use recent and ongoing research on learning progressions in mathematics and science to illustrate how measurement provides a valuable frame of reference in our attempts to answer questions about student learning. Yet I also emphasize the danger of overselling measurement as an outcome when theories of learning are nascent and scoreable items are in short supply.

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Measuring Student Learning: Assessment 101

Anonymous — Tue, 08 Sep 2015 21:20:10 +0000

Measuring Student Learning: Assessment 101 Anonymous (not verified) Tue, 09/08/2015 - 15:20 Derek Briggs

Presented by Derek Briggs at the Aspen Institute Education Summit on Sept. 26, 2015.

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