All students enter school with a combination of "headwinds" and "tailwinds". Tailwinds are the things that make school easier for students. Tailwinds include things such as coming from a home with parents of high education levels and economic stability, being a native English speaker, not having a disability, and being a member of the cultural majority. Each of those characteristics plays a role in helping a student experience success in school.

Headwinds on the other hand make school more difficult. Headwinds can include having economic instability at home, parents with lower levels of education, having a disability, or still learning English. The more headwinds a student has, the more difficulty they will have in maximizing their academic potential and the more “tailwinds” they will need. Tailwinds come in the form of high-quality instruction, support, and intervention.

The Academic Support Index, or ASI, quantifies these headwinds. A student’s ASI is the sum of their headwinds. Their ASI can also be considered a measure of the amount of support that they will need in order to mitigate the impact of those educational headwinds. Students with a low ASI will likely need very little additional support outside of Tier 1 instruction. Higher ASI students will likely need proportionally higher amounts of Tier 2 and sometimes Tier 3 supports.

There is a strong relationship between the ASI and academic outcomes. These include standardized and standards-based assessments such as the SAT, Smarter Balanced Assessments, AP and IB tests, STAR Reading and Math, kindergarten screeners, cumulative grade point averages, rates of college eligibility, and rates of college degree attainment. We have studied these effects over seven years of data as well as across urban, suburban, and rural schools. To date over 400,000 students have been scored on the ASI. (See the featured post below for a list of papers and presentations on the ASI).

Because the ASI is able to reliably predict student outcomes you have to opportunity to interrupt that predictability by using the ASI to make sure that you are identifying the right students for early intervention and support. With effective intervention, predictive analytics can become preventive analytics.

Sunday, November 4, 2018

ASI slides for visiting WASC team

Click here to access the slide deck from the presentation. Please feel free to email me with any questions.

Tuesday, April 17, 2018

AERA 2018 Slide deck

Thank you all for attending my session.  You can access the slides from the presentation here. Please feel free to email me with your thoughts, questions, or concerns.  If you have difficulty accessing this file please email me and I can send it to you directly.

Friday, April 6, 2018

AERA 2018, New York, April 17th, 10:35-12:05

Session Title:   Building Your Own Academic Support Index for Research, Evaluation, and Intervention Design

Abstract 
Disaggregating data by demographic categories such as gender, race, and class ignores the fact that
students exist in multiple categories simultaneously and that these categories are inherently interactive. The Academic Support Index (ASI) addresses this by accounting for the additive impact of students’characteristics. The ASI is a tool based on the statistical relationship between demographic fields and student academic performance. The ASI has strong correlation to outcomes including Smarter Balanced Assessments, grade point averages, and post-secondary degree attainment. This session will include an introduction to the background, development, and effective applications of the ASI as well as a practicum for researchers and educators to calculate the ASI of their students.

Monday, March 19, 2018

Equity Conference: San Pablo, California

Thank you for attending this past Saturday.  Please email me with any questions.
Click here to see the slide deck.