using assessment data to drive decision making

jones covered a distance of 50 miles on his first trip on a later trip he traveled 300 miles while going three times as fast his new time compared with the old time was
October 20, 2021
photosynthesis and cellular respiration 3
October 20, 2021
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using assessment data to drive decision making

GRADING RUBRIC MUST BE FOLLOWED

Instructions

Part 1: Display the Assessment Data

In this section of the assessment, display the assessment data you have collected from two summative assessments that you or a colleague have implemented in an educational setting. Each of these assessments must be explicitly aligned with research-based approaches. Note that the two assessments must reflect different approaches.

Do the following for the Part 1 deliverable:

  • Describe the students who have taken the assessment.
  • Present the assessments and, if applicable, the rubrics or scoring guides.
  • Describe the purpose of the assessments.
  • Identify the research-supported approach on which the assessments are based.
  • Provide a rationale for how the assessments were evaluated (rubric, percentage, et cetera).
  • Display the data collected from the assessments in a manner that will enable appropriate analysis.
    • If grading was by points or percentage, this data will be analyzed quantitatively.
    • If grading was done by rubric or comments, the data will be analyzed qualitatively.

Note: Do not use any student descriptors in the data display. Assign each student a code or number, not a fictitious first or last name. Resist the temptation to draw conclusions based on the data display. Conclusions can only be drawn based on the analysis of the data that you will complete in Part 2.

Part 2: Explain How Assessment Data Was Evaluated

In this section of the assessment, analyze the data you displayed in Part 1. Choose the appropriate data analysis approach based on the data you have collected.

  • Analyze the data following accepted data analysis methodology—either qualitative or quantitative.
  • Report your findings.
    • If you are using qualitative data analysis, this will be in the form of a rich narrative.
    • If you are using quantitative data analysis, this will be in the form of calculated statistics.

Part 3: Interpret the Findings From the Data Analysis

  • Do not use the data itself. Instead use the findings from your analysis of the data to draw logical conclusions.

Part 4: Evaluate the Data to Drive Next Instructional Steps

  • Describe the quality and usefulness of the data you collected from each assessment.

Part 5: Reflection

  • Compare the two data collection and analysis experiences in terms of your ability to:
  • Describe any learning you came away with from this experience in terms of the students, the test setting, the test construction, the approach to evaluation, or other aspects of this fieldwork experience.
  • Describe any insights from this fieldwork experience you will share with colleagues in order to promote a data-driven culture in your educational setting.
  • Analyze the extent to which this fieldwork experience aligned with your expectations in terms of what you have read in the professional literature.

Resources: Data and Decisions

 
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