This document provides guidance for an assignment requiring students to analyze data collected from implementing an intervention as part of an action research project. Students are asked to post their data analysis in two parts: 1) a description of data collection strategies and results, which can include visual depictions; and 2) conclusions about which strategies were successful or not and how the strategies relate to the research questions. Students are then asked to provide feedback on two peers' analyses by asking clarifying questions and commenting on themes and trends to help peers further develop their final analysis and action plan.
Ash edu 675 week 5 dq 2 data analysis and early feedback new
1. ASH EDU 675 Week 5 DQ 2 Data Analysis and
Early Feedback NEW
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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.
2. 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.