Digital Skills and Research Methods: Class Survey and Grit Score

This report provides an overview of digital skills and research methods, encompassing various aspects of data analysis and interpretation. The report begins with an introduction to research, defining its systematic nature and highlighting the Russell approach. It then delves into data collection, the use and process of the DIKW (Data, Information, Knowledge, Wisdom) pyramid, and the transformation of data into information. A class survey is presented to demonstrate the practical application of these methods, with a focus on grit score comparisons among participants. The report further expands its scope by including class and school surveys, analyzing the relationship between academic levels and grit scores. The conclusion emphasizes the importance of grit and recommends strategies to improve skills and interests for achieving short- and long-term goals. References to relevant academic sources are also included.

Digital Skills and Research
Methods

My Details

Table of Contents
 Research
 Russell approach
 Data collection, use and process of DIKW pyramid
 Turn Data to information, Class survey
 Comparison of grit score
 Class+school survey
 Conclusion and Recommendation
 References

Research
Research can be stated as a systematic and
creative work undertaken to enhance the
knowledge stock. It is the careful consideration
of study about particular concern or issue by
use of scientific methods. As per the American
sociologist, research is defined as systematic
enquiry to define, explain, predict as well as
control an observed phenomenon.

Russell approach
Russell is often known as the first phase of
philosophical analysis in contrast to second
stage of synthesis. The key element of
philosophical work of Russell was
development of different philosophising
method, that though applied by him
consistently throughout the career, has been
ignored largely.

Data collection, use and process of DIKW pyramid
Data collection is stated as a process of collecting
data and measuring it on targeted variables in a
developed system, that then allow to answer the
questions and evaluate the outcomes. . It is a
systematic process which is conducted by a
researcher to gather information on the particular
research topic and collect high quality data or
information which is relevant to purpose.

Turn Data to information, Class survey
Number in survey Highest Academic
Level
Grit Score
50 3 3.625
50 3 3.8
75 5 4.8
It has been found that the total number
in survey is 175 respondents. The
highest academic level of 50 respondents
is 3, the highest academic level of
another 50 respondents is also 3 which
are medium. However, the highest
academic level of 75 respondents in the
survey out of 175 is 5 which is high.
Class Grit Score

Comparison of grit score
 In order to identify the degree to which a
person has interest and emphasis towards
accomplishment of long term goals, grid score
is very useful.
 Apart from this, this score also assist in judging
the gap among the skills with reasons which
enable to apply appropriate techniques to
enhance the same.

Class+school survey
 According to the results obtained from class
survey, there are 175 participants who have
highest academic level score and grit score.
The grit score of 50 respondents is 3.625,
another 50 respondents is 3.8 and the
remaining 75 respondents is 4.8 which is the
highest among all.
Number in
survey
Highest
Academic
Level
Class Grit
Score
50 3 3.625
50 3 3.8
75 5 4.8
Number in
survey
Highest
Academic
Level
School Grit
Score
50 3 3.625
20 3 3.5
50 4 4.6

Conclusion and Recommendation
From the overall presentation, it has been found that the student with
highest academic level and high grit score have high level of focus and
interest in the subject area in comparison to the individuals with low
grit score. In order to improve the skills and interest of people with low
grit score, it is recommended to emphasize on the ways which help in
improving the skills and abilities so that they can be able to accomplish
their short and long term goals.

References
 Allmann, K. and Blank, G., 2021. Rethinking digital skills in the era
of compulsory computing: methods, measurement, policy and
theory. Information, Communication & Society, 24(5), pp.633-648.
 Zaragoza-Sáez, P., Marco-Lajara, B. and Ubeda-Garcia, M., 2021.
Digital skills in tourism. A study from the Next Tourism Generation
(NTG) Alliance. Measuring Business Excellence.

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