Analysis of Grit Scores: Class, School, and Data Interpretation

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Added on  2022/12/19

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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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DIKW Presentation
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Content
Research
Rusell approach
Data collection, use and process of DIKW pyramid
Turn Data to information, Class survey
Comparison of grit score
Class+school survey
Conclusion and Recommendations
References
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Research
Research refers to the process of systematic study that entails collection of
information about any field of study.
It is a systematic and creative work undertaken to maximise the stock of
knowledge regarding any subject.
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Rusell approach
Rusell is an educational process of self-development. Self-development is
only possible through society.
Rusell is an approach that helps in collection and evaluation of qualitative
and quantitative information systematically.
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Data collection, use and process of DIKW
pyramid
Data collection refers to the process of gathering information regarding
any field of study.
There are two important methods of data collection such as primary and
secondary. DIKW pyramid is use for identifying relationship between
data, information, knowledge and wisdom.
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Turn Data to information, Class survey
This is a step of DIKW pyramid that helps in turning the data into information.
There are various steps that are essential in turning data to information.
These are collect only useful data, use analytical tools etc.
Class grit
score
Num
ber in
surve
y
Highes
t
Acade
mic
Level
Grit
Score
19 2 4
13 3 4.2
2 4 3.7
2 5 4.7
1 6 4.15
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Comparison of grit score
Grit score help to determine the extent up to which an individual have interest
and focus towards achievement of its long term goals.
The another benefit that can be ascertained from the grit score is to determine the
level of internal competencies within a person.
This help to judge the gap in between the skills along with reasons so able to
apply appropriate number of techniques and tactics to improve the same.
Comparison of class grit score with other classes is clear from the presented
graphs and table along with their interpretation.
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Class+school survey
Wisdom is a part of DIKW pyramid that is related with the knowledge.
It is the upper of the DIKW pyramid that helps in identify the wisdom of
respondents. Class grit score
Number
in survey
Highest
Academic
Level
Grit
Score
19 2 4
13 3 4.2
2 4 3.7
2 5 4.7
1 6 4.15
37
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Conclusion and Recommendations
It has been concluded from the above presented information that grit score
of class students is higher than the students of overall school.
This depicts that the class students have high amount focus and interest
towards their goals.
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References
Carlisle, S., Ivanov, S. and Dijkmans, C., 2021. The digital skills divide: evidence from
the European tourism industry. Journal of Tourism Futures.
Rubach, C. and Lazarides, R., 2021. Addressing 21st-century digital skills in schools–
Development and validation of an instrument to measure teachers' basic ICT
competence beliefs. Computers in Human Behavior, 118, p.106636.
Antonopoulou, H., Halkiopoulos, C., Barlou, O. and Beligiannis, G.N., 2021.
Transformational Leadership and Digital Skills in Higher Education Institutes: During
the COVID-19 Pandemic. Emerging Science Journal, 5(1), pp.1-15.
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