Anchor Bay Superintendent Jankowski uses EVOS data for advanced course enrollment strategy

March 25, 2025 | 2025 House Legislature MI, Michigan

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Anchor Bay Superintendent Jankowski uses EVOS data for advanced course enrollment strategy

This article was created by AI using a video recording of the meeting. It summarizes the key points discussed, but for full details and context, please refer to the video of the full meeting. Link to Full Meeting

In a recent meeting of the Appropriations Subcommittee on School Aid and the Department of Education, significant discussions highlighted the innovative use of data to enhance student learning and access to advanced courses in Michigan schools. A key focus was on the EVOS data system, which provides valuable insights into student performance and projections for future assessments.

The meeting showcased how school leaders, particularly Phil Jankowski, the superintendent of Anchor Bay Schools, are utilizing this data to transform educational opportunities. Jankowski shared his approach of automatically enrolling students in advanced courses based on their projected performance, rather than relying on a traditional opt-in system. This method aims to ensure that all students, regardless of their background or support at home, have access to higher-level courses. Families can still opt out if they choose, but the initiative is designed to encourage participation and set high expectations for all students.

This data-driven strategy has reportedly led to increased student growth, higher enrollment in advanced math and science classes, and a reduction in dropout rates within the district. Jankowski's story exemplifies how leveraging data can open doors for students who might otherwise miss out on these opportunities.

Additionally, the meeting addressed the resources available to educators, with partnerships formed with organizations like MASA and MAISA to provide support and training on using EVOS data effectively. These efforts aim to empower teachers across the state, ultimately benefiting students and enhancing educational outcomes.

As Michigan continues to explore innovative educational strategies, the focus on data-driven decision-making stands out as a promising approach to improving student success and equity in access to advanced learning opportunities.

Converted from Appropriations Subcommittee on School Aid and Department of Education - 3/25/2025 meeting on March 25, 2025
Link to Full Meeting

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