Advanced Accounting
(2 pages) (APA format) (in-text citations is a must) (Must reference the Linkedln Task.
Link:
Instructions, Part B: Enhancing Excel with Generative AI Tools Course (Certificate)
- Log in to LinkedIn Learning and complete : The duration of the course is 1 hour.
- Download the Certificate of Completion. You must complete all course content to receive the certificate.
- Write a 2-page reflection paper on what you learned from the Enhancing Excel with Generative AI Tools course. Your paper should include the following:
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- The course covered free generative AI tools, both internal and external to Excel, and discussed their strengths and weaknesses. Describe a specific scenario from your own work or studies where you could apply one or more of these AI tools to an Excel task. Support your choice of tool(s) by referencing their specific capabilities as discussed in the course.
- Provide an example of how improperly organized data might lead to poor AI output. How would you reformat it based on the course’s guidance? Explain why this reformatting improves AIs ability to process and interpret data.
- What did you learn about the art of prompt engineering for AI tools in Excel? What potential pitfalls should you be aware of if prompts are poorly constructed?
- Share your overall thoughts about the course, including how what you learned will help you in your future accounting career.
- Submit your certificate of completion and reflection paper to Canvas.
Submit your written assignment in Canvas. Review the grading rubric to understand how you will be graded on this assignment. Reach out to your instructor if you have questions about the assignment.
Rubric
Module 6: Critical Thinking Rubric
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Module 6: Critical Thinking Rubric |
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Criteria |
Ratings |
Pts |
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This criterion is linked to a Learning OutcomeRequirements Part A: Construct the consolidation of foreign subsidiaries financial statements using remeasurement and translation methods |
50 to >40.0 ptsMeets ExpectationScores 81% – 100% on Connect Activity: “Week 6 Critical Thinking Activity.” 40 to >30.0 ptsApproaches ExpectationScores 61% – 80% on Connect Activity: “Week 6 Critical Thinking Activity.” 30 to >20.0 ptsBelow ExpectationScores 41% – 60% on Connect Activity: “Week 6 Critical Thinking Activity.” 20 to >0 ptsLimited EvidenceScores 0% – 40% on Connect Activity: “Week 6 Critical Thinking Activity.” |
50 pts |
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This criterion is linked to a Learning OutcomeCourse Completion & Certificate Submission |
5 to >4.0 ptsMeets ExpectationCertificate of Completion submitted correctly and on time. 4 to >3.0 ptsApproaches Expectation. 3 to >0.0 ptsBelow Expectation. 0 ptsLimited EvidenceCertificate of Completion not submitted. |
5 pts |
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This criterion is linked to a Learning OutcomeApplication of AI Tools in a Specific Scenario |
5 to >4.0 ptsMeets ExpectationProvides a detailed and insightful description of a specific scenario from their own work or studies where one or more AI tools could be applied to an Excel task. The choice of tool(s) is well-supported by referencing their specific capabilities as discussed in the course 4 to >3.0 ptsApproaches ExpectationDescribes a specific scenario from their own work or studies where one or more AI tools could be applied to an Excel task. The choice of tool(s) is supported by referencing their capabilities as discussed in the course. 3 to >2.0 ptsBelow ExpectationDescribes a scenario where AI tools could be applied, but the connection to personal work/studies is vague. The choice of tool(s) is mentioned but lacks detailed support from the course content. 2 to >0 ptsLimited EvidenceStruggles to describe a relevant scenario or justify the use of specific AI tools based on course content. |
5 pts |
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This criterion is linked to a Learning OutcomeImpact of Data Organization on AI Output |
5 to >4.0 ptsMeets ExpectationExplains clearly with a concrete example of how improperly organized data might lead to poor AI output. Provides detailed steps on how to reformat the data based on the course’s guidance and thoroughly explains why this reformatting improves AIs ability to process and interpret data. 4 to >3.0 ptsApproaches ExpectationExplains how improperly organized data might lead to poor AI output. Provides steps on how to reformat the data based on the course’s guidance and explains why this reformatting improves AIs ability to process and interpret data. 3 to >2.0 ptsBelow ExpectationIdentifies that data organization impacts AI output, but the explanation is somewhat vague or lacks specific examples. Mentions reformatting, but the explanation of why it improves AI processing is not fully developed. 2 to >0 ptsLimited EvidenceDoes not adequately explain the impact of data organization on AI output or provide clear steps for reformatting data. |
5 pts |
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This criterion is linked to a Learning OutcomePrompt Engineering for AI Tools |
5 ptsMeets ExpectationDemonstrates a strong understanding of prompt engineering for AI tools in Excel. Clearly articulates potential pitfalls of poorly constructed prompts and provides specific examples of how to avoid them. 4 ptsApproaches ExpectationUnderstands prompt engineering for AI tools in Excel. Articulates potential pitfalls of poorly constructed prompts. 3 ptsBelow ExpectationShows some understanding of prompt engineering but struggles to articulate potential pitfalls or provide specific examples. 2 ptsLimited EvidenceDemonstrates limited understanding of prompt engineering for AI tools in Excel. |
5 pts |
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This criterion is linked to a Learning OutcomeOverall Reflection and Future Application |
5 ptsMeets ExpectationProvides a comprehensive and insightful reflection on the course, including specific examples of how the learned concepts will be applied in their future accounting career. Demonstrates a clear connection between the course content and their professional goals. 4 ptsApproaches ExpectationShares overall thoughts about the course, including how what they learned will help them in their future accounting career. 3 ptsBelow ExpectationShares general thoughts about the course but struggles to articulate specific connections to their future accounting career. The reflection lacks depth. 2 ptsLimited EvidenceProvides a superficial reflection on the course with little to no connection to their future accounting career. |
5 pts |
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This criterion is linked to a Learning OutcomeWriting Quality |
5 ptsMeets ExpectationThe reflection paper is 1-2 pages in length, well-written, clear, concise, and free of grammatical errors. The paper follows all formatting guidelines. 4 ptsApproaches ExpectationReflection paper is well-written and clear with minimal grammatical errors. The paper follows most formatting guidelines. 3 ptsBelow ExpectationReflection paper is understandable but contains some grammatical errors or lacks clarity in certain sections. The paper follows some formatting guidelines. 2 ptsLimited EvidenceThe reflection paper is not within the specified length, difficult to understand, and contains numerous grammatical errors. The paper does not follow formatting guidelines. |
5 pts |
Total Points: 80

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