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  • Home / Academics / Find a Program / School Improvement Planning through Data Analysis Certificate / School Improvement Planning through Data Analysis Certificate Course Requirements | Ursuline - Liberal Arts College in OH

    School Improvement Planning through Data Analysis Certificate

    Programs

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    School Improvement Planning through Data Analysis Certificate Course Requirements

    Core Course Requirements for the School Improvement Planning through Data Analysis Certificate

    • ED 525 - Assessment Literacy & Analysis

      Appropriately using student assessment in the school environment requires a basic understanding of test creation, psychometric principles such as reliability and validity and the differences between different types of tests. In this course, basic knowledge and skills related to the creation and usage of major types of student assessments and their analysis will be discussed. Historical, ethical, and bias and fairness issues related to psychometrics will also be discussed to ensure that data-based decisions are responsible as well as educationally sound.

    • ED 545 - Classroom Assessment & Analysis

      Classroom assessment design and analysis is one of the fastest growing elements of the testing and measurement discipline. In this course, basic knowledge and skills related to the creation, usage, and interpretation of formative and summative classroom assessments will be discussed. The course focuses on using these types of assessments to improve student learning and concludes with discussion on how classroom assessment fits into the larger world of educational testing.

    • ED 565 - Data and Accountability Systems

      This course examines how the state and federal governments use assessment data to create an accountability picture of a school district and examines ways to target and plan to improve the various measures through a lens of school improvement. Topics in the course will relate to the following areas: local equitable access planning, progress toward graduation, early warning system, data usage for student academic success, value­added data for progress, special education profiles and ratings, OTES 2.0 and coaching.