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Disaggregating student outcomes data breaking down data into smaller, more specific subgroups provides an opportunity to unearth these nuances, which can significantly impact educational practices and policy (Berkner Choy, 2008).
Responding to Student Data ​ Compact content of lesson. Address misconceptions. Make connections to students prior experiences/learning. Create flexible groups. Use questioning to identify learning gaps. Adjust pace of lesson.
Most types of data in education fall into four main categories: Demographic information, which covers student background details. Academic performance, which includes test scores and grades. Behavioral records, which refer to attendance and discipline incidents.
7 Examples of Student Data Demographic Information. Academic Performance Data. Behavioral Data. Attendance Records. Social-Emotional Learning Data. Health and Wellness Data. Technology Usage Data.
What is student data? Education record: This can include learning assessments, test scores, attendance records, and other information related to student achievement. Personal information: Personally identifiable information, such as a students social security number, name, address, or contact information.
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Collect Different Types of Data The four types of data to collect and use as indicators of school or district success and progress are as follows: achievement data, demographic data, program data, and perception data.
It refers to the information collected about students academic progress, behavior, and educational experiences. By analyzing this data, educators can gain valuable insights into students strengths, weaknesses, and learning styles, allowing them to tailor their teaching methods ingly.
What is student data? In this document, student data refers specifically to students Personally Identifiable Information, or PII, which is any information that can be used to distinguish or trace an individuals identity either directly or indirectly through linkages with other information.

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