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Edu 675 Week 5 Dq 2 Data Analysis and Early Feedback New

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EDU 675 Week 5 DQ 2 Data Analysis and Early Feedback NEW
To Buy This material Click below link http://www.uoptutors.com/edu-675-new/edu-675-week-5-dq-2-data-analysis-and-early-feedback-new Data Analysis and Early Feedback
School leaders have found many benefits from the implementation of action research methodology to initiate the change process (Buczynski & Hansen, 2014; Mills, 2014). It has been stated that action research “has been and continues to be a process of practical and grounded inquiry that reflects in its origins the empowerment of teacher to identify and solve their own problems” (Stringer, 2007, p. 32). Further, Buczynski and Hansen (2014 p. 365) explain that action research provides a clear path to understanding change because it is a “powerful tool” that guides our decisions and practices. As you have now finished implementing your intervention/innovation directly, this discussion provides the opportunity to prepare your data analysis as is expected for the final project, and to share it in the discussion forum for the purpose of providing and receiving feedback from your peers. This collaboration and preparation will further inform your analysis and revisions in preparation for the final project in Week Six.
Initial Post: Post your data analysis as an attachment following the format outlined below:
• Data Collection Strategies: In one-to-two pages, describe the data obtained through the observations. Charts, diagrams, or other visual depictions of your data may be included.
• Outcome Analysis: In one-to-two pages, present your conclusions of your data analysis. Explain the specific strategies that were successful, which strategies did not work as well as was anticipated? Additionally, explain how the strategies support the research questions.
Guided Response: You are encouraged to respond as quickly as possible on or even before Day 3, as the information you provide and receive from others will help refine the analysis in Week Six. In responses to two of your peers, comment on the data analysis presented in the initial post. Ask questions for clarification from your peers to encourage continued conversation and provide feedback about their data analysis, themes, trends that will assist them in developing their final analysis and action plan. Again, though two replies is the basic expectation, for deeper engagement and learning, you are encouraged to provide responses to any comments or questions others have given to you including the instructor to further the conversation while giving you opportunities to demonstrate your content expertise, critical thinking, and real world experiences with this topic.
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