Assignment – Economic Analysis and Forecasting

In this assignment, students will explore the impact of digital currencies on traditional banking systems by leveraging AI tools to enhance their research and analytical skills. The project involves:

1. Brainstorming and Structuring: Using Concept Catalyst, students will generate and organize innovative ideas and research questions.
2. Literature Review: Summarizing key economic theories and previous research related to digital currencies and traditional banking.
3. Data Collection and Analysis: Planning and outlining data collection methods, then analyzing the gathered data to understand the economic impacts.
4. Discussion and Recommendations: Interpreting findings and discussing their implications, followed by providing practical recommendations based on the analysis.

Students will submit a comprehensive economic research proposal (minimum 3000 words) with a detailed outline and AI Declaration Statement, reflecting on how AI tools were used throughout the project. This assignment aims to develop critical thinking, systematic problem-solving, and innovative research skills, while integrating AI to enhance the learning experience

Instructions:

1. Introduction:
   • Define the scope of the project.
   • Introduce the economic topic or issue being analyzed.
2. Literature Review:
   • Summarize relevant economic theories and previous research.
   • Provide a theoretical framework for your analysis.
3. Data Collection and Analysis:
   • Gather data from credible sources.
   • Plan your data collection methods and tools.
4. Discussion:
   • Interpret the findings.
   • Discuss the implications of the results.
5. Conclusion and Recommendations:
   • Summarize key findings.
   • Provide recommendations based on the analysis.

AI Declaration Statement:

“I utilized Concept Catalyst to brainstorm ideas and structure my research proposal for the economic analysis project. The AI tool was instrumental in generating topics, formulating research questions, and organizing the literature review and discussion sections. All final content is my original work, refined and expanded upon the suggestions provided by Concept Catalyst.”

Assessment Criteria:

• Introduction: Clarity of the topic definition and scope (10%).
• Literature Review: Depth of research and theoretical framework (20%).
• Data Collection and Analysis Plan: Appropriateness and feasibility of methods (20%).
• Discussion: Insightfulness and relevance of interpretations (20%).
• Conclusion and Recommendations: Summarization and practical implications (20%).
• Use of AI Tools: Effective integration and reflection of AI-generated ideas (10%).