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The Concept of CIDER: Continuous Improvement through Data, Evaluation, and Research

Many SageFox team members are involved in a group we've called CIDER: Continuous Improvement through Data, Evaluation, and Research. The CIDER team is a key performance strategy within a larger project, Engineering PLUS (Partnerships Launching Underrepresented Students.)

The Engineering PLUS Alliance is recruiting partners to join networked communities that will build an inclusive infrastructure to drive the transformative, systemic and sustainable change needed to achieve 100K undergraduate and 30K graduate engineering degrees awarded annually to BIPOC and women students by 2026.


Key SageFox team members involved: Alan Peterfreund, Brie Johnson, Jordan Esiason, Mike Chery-Winder, Talia Goldwasser, Tyler Clark, and Rebecca Zarch


External partners: CSEdResearch (Monica McGill, Julie Smith and Jordan Williamson); Drexel University (Amy Slaton and Kayla Maxey); Northeastern University (David Kaili and Mohith Kota); and Rath Educational Evaluation and Research (Ken Rath and Ami Slater)


Work Examples:


As a partner in the NSF INCLUDES Alliance, the CIDER team's mission is to achieve change through activities supported by well informed data and evidence. The CIDER team brings together a multidisciplinary effort to support the data-focused activities, research and evaluation of the Engineering PLUS Alliance. They are supporting the work by engaging their synergistic team of data scientists, researchers and evaluators (internal and external) and creating an infrastructure that supports both the formation and support of the Alliance and the work being done broadly to effect educational equity in the engineering education ecosystem. Here are a few examples of the work CIDER has brought to the table:


NSF's Eddie Bernice Johnson INCLUDES Alliance Engineering PLUS (Partnerships Launching Underrepresented Students). This work is supported by the National Science Foundation under award HRD-2119930. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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