Analysis of Grit Scores: Class, School, and Data Interpretation
VerifiedAdded on 2022/12/19
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AI Summary
This presentation provides an analysis of grit scores, data collection methods, and the application of the DIKW (Data, Information, Knowledge, Wisdom) pyramid. The presentation starts with an overview of the research process, defining key terms such as data collection, the DIKW pyramid, and the role of self-development. It explores the use of the DIKW pyramid to transform data into useful information, focusing on the results of class and school surveys. The presentation includes an analysis of grit scores, comparing the grit scores of students within the class and the school. The analysis includes the use of the grit scores, the academic level and the insights derived from it. The conclusion emphasizes the higher grit scores of the class students compared to the school average, indicating a stronger focus on goals. The presentation references relevant literature on digital skills and leadership in education, reinforcing the importance of data-driven insights in the educational context.
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