📊 Data Stories

Overview

The ability to analyze data is a crucial skill, enabling individuals to draw meaningful conclusions and make informed decisions. By enhancing your ability to uncover trends and patterns, you are also developing insights that drive innovation to address real-world problems.

📋 Event Details

• 2 members from each team will compete in this event.
• At the start of the competition, teams will be given a packet of key figures and data related to this year’s theme.
• Teams will have 30 minutes to analyze the source material and develop a 5-minute (maximum) presentation.
• In their presentations, teams must:
  • Interpret key figures from the dataset and communicate their analysis to a panel of judges.
  • Identify one major challenge.
  • Propose one feasible solution that is grounded in the data or figures and relevant to the challenge area.

🏆 Evaluation Criteria

Your presentations will be evaluated based on the following categories:

1️⃣ Data Interpretation

🔹 Interpretation of Data: Does the team effectively analyze the provided figures and data and extract meaningful insights?
🔹 Analysis of Trends & Patterns: Are key trends, patterns, and correlations accurately identified and clearly explained?

2️⃣ Problem Identification

🔹 Relevance: Is the problem well-defined, specific, and relevant to the theme area? 🔹 Connection to Data: Is the problem clearly derived from the data and figures, demonstrating a strong connection between analysis and challenge?

3️⃣ Solution Proposal

🔹 Feasibility: How practical and innovative is the proposed solution to address the identified problem?
🔹 Implications: Does the solution demonstrate a thoughtful understanding of the data and challenge while considering ethical, accessibility, or implementation concerns?

4️⃣ Communication & Creativity

🔹 How well does the team communicate their findings and ideas within the 5-minute presentation?
🔹 Is the presentation engaging, structured, and easy to follow?

📝 Additional Notes

• Creativity and storytelling are encouraged—data is most impactful when presented clearly and persuasively.
• Presentations should not exceed 5 minutes—teams will be cut off if they exceed the time limit.
• Judges will consider how well teams integrate data-driven insights into their problem and solution.

Good luck, and may the best storytellers win! 🚀🎤📊

2025: 🏅 Are You Ready to Tell the Story of AI in Education?

Your challenge is to transform figures and data into meaningful insights and propose a data-driven solution to one of education’s biggest questions:

How can AI improve learning while ensuring fairness, accessibility, and effectiveness?

Theme: Use of AI in Education 📈📉📊

Resources

🔎 Key Considerations for AI in Education

As you analyze the dataset, think about:
✅ Equity & Access: Who benefits from AI in education, and who might be left behind?
✅ Bias & Ethics: How do AI algorithms influence learning opportunities and fairness?
✅ Personalization: How can AI improve individualized learning experiences?
✅ Teacher Support: How can AI assist (rather than replace) educators?
✅ Data Privacy: What safeguards should be in place when AI collects student data?

Use the data to support your arguments and make a compelling case for your proposed solution!

Final figures and references, will be linked here after the 2025 competition held in March 2025.