According to Kowalski, Lasley, & Mahoney (2008), data-driven decision making emerged from the K-12 school reform efforts over the last 30 years. In many cases, programming decisions were implemented that impacted students and teachers without examining the potential for success. Thus, the policymakers failed to use data adequately to determine the targeted nature of the reform agenda. Another related factor was the lack of data-driven analysis that could determine the impact of the programming on student academic achievement. The end result led to policymaking outcomes that were sometimes based on subjective determinations over quantitative data. In addition, before the data could even be collected, the decision makers had already moved to the next reform effort.
Another related issue was the lack of teacher knowledge about both collecting data and analyzing data. Many educators do not have the background or the experience with how data analysis connects towards improving their teaching and learning environments. Thus, teachers might ignore positive or negative data in the overall process (Kowalski, Lasley, & Mahoney, 2008). Furthermore, Levitt and Dubner (2005) that the data can resolve riddles in a way that the educators can apply the results to the teaching and learning environments.
Step 1: Find three or more scholarly sources from peer-reviewed journals and examine two or more educational-related websites for background materials on data-driven decision making. As you conduct your research keep the following questions in mind:
- What is the underlying nature and purpose of data-driven decision making?
- What is the impact of data-driven decision making in relation to influencing the culture of your future or current school setting?
- How has data-driven decision making been used by policymakers towards reforming schools and improving student academic achievement?
Step 2: Create a PowerPoint Slideshow with 10-12 slides (in addition to the title and reference slides) that forms a professional development presentation regarding data-driven decision-making. Include talking points and details in the notes area for each slide. Prepare the notes areas as though you were going to give this file to someone else to present in front of a group.
Include the following essential elements in the PowerPoint:
- Describe at least three points about the underlying nature of data-driven decision making.
- Discuss at least three points for data-driven decision making in terms of the implementation and opportunities for change in schools.
- Evaluate at least two impacts of data-driven decision making on changing the school culture.
- Analyze at least two approaches on how data-driven decision making was used with school reform efforts.
- Analyze at least three practical implications about how the usage of data-driven decision making by teachers and administrators can improve student academic achievement.
Use the information from the textbook, the research, and the websites to complete the PowerPoint. Also, incorporate personal experiences and examples where possible. Use a minimum of three scholarly peer-reviewed resources (in addition to the text) and to educational-related websites to support your findings. Cite sources according to APA style in-text citations and references. Elements such as images and SmartArt help to add visual interest to a presentation.
Consider finding graphics that are openly licensed under the Creative Commons Agreement. Many such graphics can be found on Flickr.com. Read the description of Creative Commons (CC) agreement on the Flickr site. Use only those images that are openly shared under the CC agreement. Be sure to attribute your graphics using APA formatting.