"Quantifying the support a student may need to succeed" ​​

The Academic Support Index (TM) by David Stevens is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Read the chapter on the Academic Support Index in the Cambridge Handbook of Applied School Psychology

All students come to us with a combination of factors that make learning easier for some and more difficult for others. Through the Academic Support Index(TM) we are now able to quantify these factors providing each student with a score that not only strongly correlates to academic outcomes but more importantly helps predict student performance beginning with kindergarten screeners all the way through post-secondary degree attainment. The Academic Support Index can help identify which students will benefit the most from early intervention and support. With this knowledge in hand, schools and institutions can begin to interrupt the predictability of performance providing all students with a pathway to success.

Academic Support Index(TM)

If you are interested in learning more about the Academic Support Index for use in your school, district, or research contact me using the form below.

The Academic Support Index(TM) by David Stevens is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.

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Learn more about the Academic Support Index here

How the ASI can help support improved student outcomes:

  • More equitable resource allocation (AERA 2022) and balanced school or classroom assignment (CERA 2022).
  • Helps identify students who may underperform academically in advance to provide time for effective intervention. (AERA, 2015, 2017, 2018)
  • Predictive of student performance. (AERA, 2015, 2018)
  • Supports the comparison of student performance across sites and across academic years to better identify effective programs.  (AERA, 2018)
  • FERPA compliant by keeping student data anonymous. (AERA, 2018)