MTTS+IV

= Data Analysis = The goal set for my Pre-kindergarten class was Knowledge of Algebra, Patterns, and Functions. Based upon the data entered for the students in my class they did well in recognizing simple patterns goal/objective with a class average of 7 out of 10 on the assessment. The 2 nd objective of continuing a simple pattern the class average was 7 out of 10 on the assessment. For the 3 rd objective the students did not meet the goal of 7 out of 10 with an average of 6. For the goal score of at least 4 out of 5 for homework completion and accuracy the student’s average was 3 and they did not meet the goal. The student’s attendance rate did not meet the goal of 95% but meet 87.72%. The data shows that absences attribute to the lack of accuracy in work completion. Instructional Decisions Based on the pattern demonstrated several strategies can be implemented to improve students class scores. Some students have difficulty focusing on important information so graphs, charts and/or maps can be of assistance. Oral testing can also provide activities for a student to improve visual processing abilities. To make further instructional suggestions more students testing is definitely required. The students should be assessed to measure their abilities in order to determine strengths and weaknesses. Instructional accommodations and modifications should be based upon each learner’s pattern of strengths and weaknesses, along with the knowledge of specific academic performance abilities.


 * **CLASS GRADE BOOK** ||
 * |||||||||||||||||||||||||||||||||| Standard: 1.0 (Pre-K) Knowledge of Algebra, Patterns, and Functions ||  || Attendance || Homework ||
 * Unit Monitoring Plan: 1st Six Weeks |||||||||| Goal/Objective #1: Recognize simple patterns ||  |||||||||| Goal/Objective # 2: Continue a simple pattern ||   |||||||||| Goal/Objective # 3: Identify patterns in real-world situations ||   || 95 - 100% Excellent; 85 - 94% Good; 75 - 84 % Fair; 74% - below Poor || 1 - 5 (5 - Always complete and accurate) ||
 * Student: || 1 || 2 || 3 || 4 || 5 || AVG || 1 || 2 || 3 || 4 || 5 || AVG || 1 || 2 || 3 || 4 || 5 || AVG ||  ||   ||
 * 1 || 8 || 8 || 6 || 7 || 7 || 6 || 6 || 6 || 5 || 6 || 5 || 6 || 3 || 4 || 3 || 3 || 4 || 5 || 93 || 3 ||
 * 2 || 4 || 5 || 5 || 5 || 4 || 4 || 3 || 4 || 2 || 2 || 2 || 4 || 2 || 3 || 4 || 3 || 5 || 4 || 80 || 3 ||
 * 3 || 3 || 2 || 4 || 4 || 5 || 4 || 5 || 6 || 4 || 5 || 3 || 4 || 4 || 3 || 4 || 4 || 4 || 4 || 86 || 2 ||
 * 4 || 7 || 7 || 8 || 9 || 10 || 7 || 7 || 8 || 9 || 8 || 7 || 8 || 6 || 8 || 7 || 8 || 9 || 8 || 90 || 4 ||
 * 5 || 8 || 9 || 9 || 9 || 10 || 8 || 6 || 8 || 7 || 8 || 9 || 8 || 7 || 7 || 8 || 9 || 9 || 8 || 100 || 5 ||
 * 6 || 5 || 5 || 6 || 7 || 7 || 6 || 2 || 3 || 4 || 3 || 4 || 5 || 4 || 4 || 3 || 3 || 3 || 4 || 78 || 1 ||
 * 7 || 3 || 3 || 2 || 3 || 2 || 3 || 4 || 6 || 4 || 5 || 3 || 4 || 4 || 4 || 4 || 5 || 5 || 4 || 87 || 2 ||
 * 8 || 7 || 7 || 7 || 8 || 7 || 7 || 9 || 5 || 7 || 7 || 6 || 7 || 7 || 8 || 7 || 7 || 8 || 7 || 78 || 4 ||
 * 9 || 9 || 10 || 8 || 9 || 10 || 9 || 7 || 8 || 7 || 7 || 7 || 8 || 7 || 7 || 7 || 6 || 8 || 8 || 96 || 5 ||
 * 10 || 5 || 4 || 6 || 5 || 4 || 6 || 3 || 5 || 4 || 5 || 4 || 6 || 3 || 3 || 4 || 3 || 2 || 5 || 92 || 4 ||
 * 11 || 6 || 7 || 7 || 7 || 7 || 7.5 || 7 || 8 || 7 || 9 || 9 || 8 || 7 || 8 || 9 || 10 || 10 || 8 || 94 || 4 ||
 * 12 || 7 || 8 || 8 || 7 || 8 || 8 || 7 || 8 || 5 || 9 || 7 || 8 || 8 || 8 || 8 || 8 || 7 || 8 || 82 || 4 ||
 * 13 || 5 || 6 || 6 || 7 || 5 || 7 || 3 || 4 || 3 || 4 || 4 || 6 || 2 || 3 || 2 || 1 || 2 || 5 || 98 || 4 ||
 * 14 || 6 || 5 || 7 || 5 || 6 || 7 || 4 || 4 || 4 || 5 || 5 || 6 || 4 || 3 || 4 || 4 || 4 || 5 || 81 || 1 ||
 * 15 || 5 || 6 || 7 || 7 || 7 || 8 || 4 || 5 || 4 || 4 || 4 || 6 || 3 || 2 || 3 || 2 || 2 || 5 || 68 || 0 ||
 * 16 || 9 || 9 || 10 || 9 || 10 || 11 || 7 || 8 || 8 || 9 || 10 || 10 || 7 || 6 || 8 || 7 || 7 || 9 || 84 || 4 ||
 * 17 || 8 || 9 || 9 || 8 || 8 || 10 || 7 || 8 || 8 || 9 || 9 || 9 || 7 || 7 || 6 || 7 || 7 || 9 || 100 || 5 ||
 * 18 || 8 || 8 || 8 || 9 || 9 || 10 || 7 || 8 || 7 || 9 || 9 || 9 || 7 || 8 || 7 || 6 || 7 || 9 || 92 || 4 ||
 * 19 || 9 || 10 || 10 || 9 || 10 || 11 || 7 || 6 || 7 || 9 || 8 || 10 || 7 || 6 || 5 || 5 || 6 || 9 || 94 || 4 ||
 * 20 || 7 || 7 || 8 || 8 || 8 || 10 || 4 || 6 || 7 || 5 || 7 || 8 || 7 || 8 || 7 || 7 || 7 || 8 || 94 || 4 ||
 * 21 || 2 || 2 || 3 || 3 || 3 || 6 || 2 || 4 || 5 || 3 || 3 || 5 || 2 || 2 || 4 || 5 || 4 || 4 || 65 || 1 ||
 * 22 || 3 || 4 || 4 || 5 || 4 || 7 || 6 || 5 || 7 || 5 || 4 || 6 || 4 || 2 || 2 || 2 || 2 || 5 || 64 || 0 ||
 * 23 || 0 || 1 || 0 || 1 || 0 || 4 || 2 || 2 || 2 || 2 || 2 || 3 || 2 || 2 || 2 || 2 || 3 || 3 || 98 || 4 ||
 * 24 || 0 || 1 || 0 || 0 || 1 || 4 || 1 || 2 || 2 || 1 || 2 || 3 || 0 || 0 || 1 || 0 || 1 || 2 || 99 || 5 ||
 * 25 || 4 || 4 || 5 || 5 || 5 || 8 || 3 || 5 || 7 || 5 || 4 || 7 || 5 || 5 || 4 || 4 || 4 || 6 || 100 || 4 ||
 * CLASS AVERAGE ||  ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||   ||
 * Student: || 1 || 2 || 3 || 4 || 5 || 7 || 1 || 2 || 3 || 4 || 5 || 7 || 1 || 2 || 3 || 4 || 5 || 6 || 87.72 || 3 ||
 * Student: || 1 || 2 || 3 || 4 || 5 || 7 || 1 || 2 || 3 || 4 || 5 || 7 || 1 || 2 || 3 || 4 || 5 || 6 || 87.72 || 3 ||


 * **Goal/Objective # 3:** **Identify patterns in real-world situations** ||  ||
 * 1 || 2 || 3 || 4 || 5 || AVG ||
 * 3 || 4 || 3 || 3 || 4 || 5 ||
 * 2 || 3 || 4 || 3 || 5 || 4 ||
 * 4 || 3 || 4 || 4 || 4 || 4 ||
 * 6 || 8 || 7 || 8 || 9 || 8 ||
 * 7 || 7 || 8 || 9 || 9 || 8 ||
 * 4 || 4 || 3 || 3 || 3 || 4 ||
 * 4 || 4 || 4 || 5 || 5 || 4 ||
 * 7 || 8 || 7 || 7 || 8 || 7 ||
 * 7 || 7 || 7 || 6 || 8 || 8 ||
 * 3 || 3 || 4 || 3 || 2 || 5 ||
 * 7 || 8 || 9 || 10 || 10 || 8 ||
 * 8 || 8 || 8 || 8 || 7 || 8 ||
 * 2 || 3 || 2 || 1 || 2 || 5 ||
 * 4 || 3 || 4 || 4 || 4 || 5 ||
 * 3 || 2 || 3 || 2 || 2 || 5 ||
 * 7 || 6 || 8 || 7 || 7 || 9 ||
 * 7 || 7 || 6 || 7 || 7 || 9 ||
 * 7 || 8 || 7 || 6 || 7 || 9 ||
 * 7 || 6 || 5 || 5 || 6 || 9 ||
 * 7 || 8 || 7 || 7 || 7 || 8 ||
 * 2 || 2 || 4 || 5 || 4 || 4 ||
 * 4 || 2 || 2 || 2 || 2 || 5 ||
 * 2 || 2 || 2 || 2 || 3 || 3 ||
 * 0 || 0 || 1 || 0 || 1 || 2 ||
 * 5 || 5 || 4 || 4 || 4 || 6 ||
 * 1 || 2 || 3 || 4 || 5 || 6 ||
 * 1 || 2 || 3 || 4 || 5 || 6 ||
 * 1 || 2 || 3 || 4 || 5 || 6 ||


 * **Goal/Objective # 3:** **Identify patterns in real-world situations** ||  ||
 * 1 || 2 || 3 || 4 || 5 || AVG ||
 * 7 || 6 || 8 || 7 || 7 || 9 ||
 * 7 || 7 || 6 || 7 || 7 || 9 ||
 * 7 || 8 || 7 || 6 || 7 || 9 ||
 * 7 || 6 || 5 || 5 || 6 || 9 ||
 * 6 || 8 || 7 || 8 || 9 || 8 ||
 * 7 || 7 || 8 || 9 || 9 || 8 ||
 * 7 || 7 || 7 || 6 || 8 || 8 ||
 * 7 || 8 || 9 || 10 || 10 || 8 ||
 * 8 || 8 || 8 || 8 || 7 || 8 ||
 * 7 || 8 || 7 || 7 || 7 || 8 ||
 * 7 || 8 || 7 || 7 || 8 || 7 ||
 * 5 || 5 || 4 || 4 || 4 || 6 ||
 * 3 || 4 || 3 || 3 || 4 || 5 ||
 * 3 || 3 || 4 || 3 || 2 || 5 ||
 * 2 || 3 || 2 || 1 || 2 || 5 ||
 * 4 || 3 || 4 || 4 || 4 || 5 ||
 * 3 || 2 || 3 || 2 || 2 || 5 ||
 * 4 || 2 || 2 || 2 || 2 || 5 ||
 * 2 || 3 || 4 || 3 || 5 || 4 ||
 * 4 || 3 || 4 || 4 || 4 || 4 ||
 * 4 || 4 || 3 || 3 || 3 || 4 ||
 * 4 || 4 || 4 || 5 || 5 || 4 ||
 * 2 || 2 || 4 || 5 || 4 || 4 ||
 * 2 || 2 || 2 || 2 || 3 || 3 ||
 * 0 || 0 || 1 || 0 || 1 || 2 ||
 * 1 || 2 || 3 || 4 || 5 || 6 ||
 * 1 || 2 || 3 || 4 || 5 || 6 ||
 * 1 || 2 || 3 || 4 || 5 || 6 ||