Student Data Analysis Included in the tables are examples of how your data should be represented.
1. Administer and score an assessment to the entire class that will cover 3-5 different skills sets with 5 – 10 questions. This can be an in class assignment, exit ticket, or more formal quiz/assessment.
2. Record the data by skill in the Data by Skilltableand then again by student in theData by Studenttable.
3. Answer the following questions using your completed Data by Skilltable: a. Look at trends by standard, question, or objective. Which would you prioritize for reteaching or extension and why?
b. Considering what is in themisconceptionscolumn,identifyone to three foundational skillsthat studentsneed in order to move forward in their learning.
4. Answer the following question using your completed Data by Student table: a. Noting which students who are close to the mastery cut off, identify the major trends in which skills they are missing to achieve mastery.
5. In the Reteachingtable, group your students by who is ready for enrichment and who requires intervention. Describe the specific strategies/learning activities you plan to use with your students based on remediation or advancement of that skill.
6. Answer the following questions using theReteachingtable.
a. What modifications could you make to the strategies and learning activities for future lessons, to better facilitate student learning?
b. What modifications could you make to the data collection method in the future to better understand student growth?
