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02/21/2021. Tool
Implementation Checklist Define measures of success in alignment with your logic model, including non-academic measures of impact. Develop tools to collect data on the identified measures, including both quantitative and qualitative data. Set benchmarks to monitor progress towards outcomes. Put systems in place for collecting data that can be disaggregated by race, gender, IEP statues, home language, and other important factors to ensure equity of se

02/16/2021. Tool
Why should you create data-informed student groups? If your Student-Tutor Ratio is Small Groups instead of one-on-one, the composition of these groups will influence session effectiveness. If students are grouped haphazardly, without regard for their academic strengths and struggles, then tutors will find it much more challenging to meet the individual needs of every student in a group.

02/11/2021. Tool
Critical Question What data will the program collect to measure impact? How will these data reflect a holistic understanding of students’ experiences? What processes will be in place to review and act upon collected data? How will these review processes promote equity and reduce bias? Sub Elements (Click on the links or visit the pages on the lefthand navigation for more information.)