# STEP Standard 6 – Analysis of Student Learning

 Post-Test Data: Whole Class – Once you have assessed your studentsâ€™ learning on the topic, collect and analyze the post-test data to determine the effectiveness of your instruction and assessment.
 Number of Students Pre-Test Number of Students Post-Test Highly Proficient (90%-100%) 2 5 Proficient (80%-89%) 4 10 Partially Proficient (70%-79%) 9 12 Minimally Proficient (69% and below) 15 3
 Post-Test Analysis:Whole Class Based on your analysis of the whole class post-test data, what is your interpretation of the student learning? Cite examples and provide evidence of student learning that helped you come to this conclusion. Based on the whole class post-test data, write one paragraph analyzing the effectiveness of your instruction and assessment and effect on student learning. Cite examples and provide evidence of student learning to support this analysis. Post-Assessment Analysis: Subgroup Selection Pre-Test – Administer, collect, and score the pre-test. Enter data in the Table for Whole Class Pre-Test Results by LGComplete. Replace information with your information. Delete or add columns as needed by highlighting area, right click, â€œDelete â€ or â€œInsert.â€ Using the information obtained in Standard 1, select one subgroup population to focus on for this analysis. Provide a brief rationale for your selection (1-3 sentences). Post-Assessment Data: Subgroup (Gender, ELL population, Gifted, students on IEPs or 504s, etc.)
 Number of Students Pre-Test Number of Students Post-Test Highly Proficient (90%-100%) # # Proficient (80%-89%) # # Partially Proficient (70%-79%) # # Minimally Proficient (69% and below) # # Post-Assessment Analysis: Subgroup Based on your analysis of the subgroup post-test data, what is your interpretation of the student learning? Cite examples and provide evidence of student learning that helped you come to this conclusion. Based on the subgroup class post-test data, write one paragraph analyzing the effectiveness of your instruction and assessment and effect on student learning. If there is a student or group of students who have not mastered the objectives, discuss what you will do in future days to aid students’ understanding with respect to the unitâ€™s objectives. Cite examples and provide evidence of student misconceptions to support this analysis.
 Post-Assessment Data: Remainder of Class
 Number of Students Pre-Test Number of Students Post-Test Highly Proficient (90%-100%) # # Proficient (80%-89%) # # Partially Proficient (70%-79%) # # Minimally Proficient (69% and below) # #
 Post-Assessment Analysis: Subgroup and Remainder of Class Analyze the data of the subgroup as compared to the remainder of the class. In one paragraph, describe the effectiveness of your instruction for this unit using the findings from your analysis. Based on your analysis of student learning, discuss the next steps for instruction, including an objective that would build upon the content taught in this unit of instruction.