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Instructions:
Introduction to Data Mining
Discussion Assignment on Data Mining (Introduction to Data Mining)
It is critical that students have access to high-quality educational programs and courses that prepare them to serve as servant-leaders in their fields and communities, bridging the gap between research and practice and knowledge and ethical decision-making. This is a written assignment in which students must illustrate how the course research has been applied and implemented in their own careers. Assignment:
Provide a 500-word (or 2-page double-spaced) reflection on how the course’s information, abilities, or theories have been or could be applied in a practical manner to your present work situation. If you are not already employed, describe
situations in which these theories and knowledge could be applied to a job opportunity in your field of study. Requirements:
Provide a minimum reflection of 500 words (or 2 pages double spaced).
In your first paragraph, you must provide a single thesis statement.
Use of correct APA citations and formatting. If outside resources are used for help, they must be properly mentioned.
Share a personal link to this course that highlights unique information and theories.
Demonstrate a sense of connection to your current workplace. Demonstrate a connection to your ideal employment setting if you are unemployed.
You should not give a general overview of the course’s assignments. The assignment encourages you to reflect on how you used or could use the knowledge and skills you gained by completing course objectives in the job.
Don’t forget that the writing quality is factored into the grade.
Introduction to Data Mining
RUBRIC |
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Excellent Quality 95-100%
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Introduction
45-41 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Literature Support 91-84 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Methodology 58-53 points Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met. |
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Average Score 50-85% |
40-38 points More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided. |
83-76 points Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration. |
52-49 points Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met. |
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Poor Quality 0-45% |
37-1 points The background and/or significance are missing. No search history information is provided. |
75-1 points Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration. |
48-1 points There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met |
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Introduction to Data Mining