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
Reflection:
The data overview artifact was created by analyzing CRCT scores for 3 years, identifying achievement gaps in a variety of demographic breakdowns, and creating a presentation to show the results and suggestions for improvement to the faculty. Data analysis element 2.8 is demonstrated with the data overview artifact because it took the collected assessment, located the highs and lows with student achievement, and start working on a strategic plan to bring the lows up to where the highs reside.
The lessons I learned from doing the research, analysis, and development of the data overview have helped to shape me into technology facilitator. Learning how to separate data into different subgroups and analyze the trends they create is important when focusing on data driven instruction. To improve the quality of this artifact, I would add to the descriptions of each slide. Having more detail would better serve to show the teachers that there is a need and a solution needs to be created. Through this artifact, it impacts school improvement, faculty development, and student learning by showing everyone what the needs are in the school and how to fix them through staff professional development and more attention to students who need it. This impact can be assessed by analyzing the data after the implement of a plan to fix the problem goes into place and new student data is recorded.
The data overview artifact was created by analyzing CRCT scores for 3 years, identifying achievement gaps in a variety of demographic breakdowns, and creating a presentation to show the results and suggestions for improvement to the faculty. Data analysis element 2.8 is demonstrated with the data overview artifact because it took the collected assessment, located the highs and lows with student achievement, and start working on a strategic plan to bring the lows up to where the highs reside.
The lessons I learned from doing the research, analysis, and development of the data overview have helped to shape me into technology facilitator. Learning how to separate data into different subgroups and analyze the trends they create is important when focusing on data driven instruction. To improve the quality of this artifact, I would add to the descriptions of each slide. Having more detail would better serve to show the teachers that there is a need and a solution needs to be created. Through this artifact, it impacts school improvement, faculty development, and student learning by showing everyone what the needs are in the school and how to fix them through staff professional development and more attention to students who need it. This impact can be assessed by analyzing the data after the implement of a plan to fix the problem goes into place and new student data is recorded.