The educator or district leader analyzes collected data using appropriate method(s). The educator or district leader summarizes findings to share evidence-based recommendations with a broader audience.
Review the goal or research question of the pilot. Determine the data elements (i.e., metrics such as student attitudes, learning, or behaviors) necessary to achieve the success of the pilot. Clean (which involves the identification and removal of inaccurate or inconsistent data in a data set) and link the qualitative and quantitative data sources by individual student, teacher, and/or grade. Linking the data allows researchers to identify trends or, if a comparison group is present, effects that support evidence-based recommendations and conclusions for further use, purchase, and/or implementation scaling. Review results from the data analysis to identify key findings that can be used to answer the defined research question or determine whether the pilot goal to provide evidence-based recommendations was met.
Determine which audience needs to understand the findings of the analysis. There could be multiple audiences, for example, educators and district leaders. Consider the level of detail that is important for each potential audience. Does each group of stakeholders need to know the same information? What information about how the edtech tool was implemented will the audience need to interpret the findings? Would educators prefer to understand the curricular changes, whereas district leaders would be more concerned with cost and reach?
Review your summarized findings and recommendations to ensure your claims are supported by the data you collected, and that limitations are clearly stated (see Reporting Research Findings in the Resources section for help thinking through how to report various types of data and findings appropriately and accurately). For example, if you report that reading comprehension improved for students who used a particular edtech tool, be sure to clarify what other factors might have contributed to this outcome.
To earn the micro-credential, you must receive a passing evaluation for Parts 1 and 3. You must receive a yes in all parts submitted in Part 2.
Review your pilot goal or research question. What data elements are necessary to determine the success of the pilot or answer the research question? Please complete Part 1 before moving to Part 2.
Describe the data elements you will include in your analysis, making sure to describe:
To earn this micro-credential, please submit a document with the following data analysis and preparation to share the findings:
Submit the report or presentation you intend to share or have shared with colleagues or stakeholders who will make a purchasing, implementation, or scale-based decision. Include your final, evidence-based recommendation.
After you analyzed the data and created at least one visualization to communicate key findings, write a reflection that addresses the following:
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