2.8 Data Analysis
Candidates model and facilitate the effective use of digital tools and resources to systematically collect and analyze student achievement data, interpret results, communicate findings, and implement appropriate interventions to improve instructional practice and maximize student learning.
Artifact: Data Overview (to read narration, hold mouse in upper left hand corner of each slide)
Reflection:
This data overview project was completed in the Data Analysis and School Improvement course, ITEC 7305. The data overview project was a presentation that included multiple sources of data that had been analyzed to identify improvement needs, causes of performance problems and determine the next course of action. This data was collected from one of the elementary schools in our district that I support. The data overview included an analysis of demographics over a 3 year period of changes in race/ethnicity, gender, free/reduced lunch qualifications, attendance, and percentage of students with disabilities. In addition, the data overview focused on how those various student demographics affected math and reading CRCT results.
This artifact demonstrates mastery of the 2.8 standard because this data analysis involved collecting and analyzing student achievement data, interpreting the results of that collection and implementing interventions to improve instructional practice in order to maximize student learning and growth. I learned so much in this course about collecting and analyzing data that I have never been a part of before to this degree. Inputting the data in Excel and designing the charts for the presentation was enjoyable and a learning experience, as well. This course took place in the summer. This experience would have been more authentic and more beneficial to work with teachers at my school on this data during the school year. Student learning will definitely be impacted by the analysis of this data, if teachers collaborate with other team members to focus on improving instruction by evaluating various content areas and student work.
This data overview project was completed in the Data Analysis and School Improvement course, ITEC 7305. The data overview project was a presentation that included multiple sources of data that had been analyzed to identify improvement needs, causes of performance problems and determine the next course of action. This data was collected from one of the elementary schools in our district that I support. The data overview included an analysis of demographics over a 3 year period of changes in race/ethnicity, gender, free/reduced lunch qualifications, attendance, and percentage of students with disabilities. In addition, the data overview focused on how those various student demographics affected math and reading CRCT results.
This artifact demonstrates mastery of the 2.8 standard because this data analysis involved collecting and analyzing student achievement data, interpreting the results of that collection and implementing interventions to improve instructional practice in order to maximize student learning and growth. I learned so much in this course about collecting and analyzing data that I have never been a part of before to this degree. Inputting the data in Excel and designing the charts for the presentation was enjoyable and a learning experience, as well. This course took place in the summer. This experience would have been more authentic and more beneficial to work with teachers at my school on this data during the school year. Student learning will definitely be impacted by the analysis of this data, if teachers collaborate with other team members to focus on improving instruction by evaluating various content areas and student work.