Understanding Ocean Acidification through AI-Driven Analysis

Purpose

To develop students’ understanding of ocean acidification and enhance their communication skills using AI tools to analyze and present data on this environmental issue.

Instructions

1. Select Data Sets
   • Choose relevant data sets on ocean acidification from reputable sources such as NOAA, NASA, or peer-reviewed journals.
2. AI-Driven Data Analysis
   • Use AI tools to analyze the selected data sets. Focus on identifying trends, patterns, and significant changes over time.
3. Interpretation and Understanding
   • Write a 1000-1200 word report interpreting the AI-generated results. Include:
     • Explanation of ocean acidification and its causes.
     • Summary of key findings from the AI analysis.
     • Discussion of the potential impacts of ocean acidification on marine life and ecosystems.
4. Communication
   • Create a 5-minute video presentation summarizing your findings. Use visual aids such as charts, graphs, and maps generated by the AI tools.
   • Ensure the presentation is clear, engaging, and effectively communicates the significance of your findings.
5. Submission
   • Submit your written report as a Word or PDF file through the Canvas assignment submission portal.
   • Upload your video presentation to a video-sharing platform (e.g., YouTube, Vimeo) and provide the link in your submission.

Grading Criteria

• Data Analysis (30%)
  • Effectiveness of AI tools in analyzing data.
  • Accuracy and relevance of the data sets chosen.
• Interpretation and Understanding (30%)
  • Depth of understanding demonstrated in the written report.
  • Clarity and coherence of the interpretation of AI results.
• Communication (30%)
  • Quality and clarity of the video presentation.
  • Use of visual aids to enhance understanding.
• Writing Quality (10%)
  • Organization and structure of the written report.
  • Proper grammar, spelling, and formatting.