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Mahmoud Harding

Instructional Design Director, Data Science 4 Everyone

Cary, NC / Black or African American

👨 he/him/his

🎓B.S. Mathematics Education, North Carolina A & T State University;
🎓M.S. Applied Mathematics, North Carolina A & T State University; Graduate Certificate Applied Statistics and Data Management, North Carolina State University;
🎓M.S. Statistics, North Carolina State University

😁 Mahmoud loves listening to podcasts and both making and enjoying specialty coffee. After taking a course on different brewing methods, he now makes a fresh cup almost every morning.

Mahmoud Harding

By empowering classrooms to turn data into discovery, Mahmoud is building a future where every student speaks the language of data.

ABOUT HIS WORK

Mahmoud works on initiatives that make data literacy and data science education more accessible for every K-12 student across all subject areas. This commitment underscores the importance of continuing to collaborate with CSTA on developing the Data and Analysis topic from the updated standards. It also points to the need that prompted the creation of the National Learning Progressions for K-12 Data Science (https://datasciencelearning.org/ ), which provide a framework for how data skills progress across grade levels.

We hope educators from state leaders to classroom teachers will use these progressions and the updated standards to write curricula, develop assessments, and create data driven learning experiences. We will continue collaborating with CSTA as well as other subject area organizations to develop subject specific learning progressions across all grades and disciplines.

Ultimately, we envision creating a hub with classroom ready datasets and lessons. These resources will be aligned to the updated standards and learning progressions to help educators integrate data literacy and data science into their regular instructional practices.

Mahmoud Harding

WATCH & DISCUSS

Watch: From Kindergarten to Graduation: Real-World AI Implementation in CS Ed — CSTA 2025 Closing Keynote (34:43–39:52)

Discuss: 

  • How can we make sure AI systems use data in ways that are fair and respectful to everyone?

→ Prompts discussion on bias, equity, and inclusion in AI.

  • Who should be responsible if an AI makes a mistake or causes harm — the person who built it, the company that uses it, or the people who trained it with data?

→ Encourages thinking about accountability and ethics.

  • What kinds of information about you do you think should be private, and what’s okay for technology to collect or use?

→ Opens reflection on data privacy, consent, and personal boundaries online.

OTHER RESOURCES

EXTENSION ACTIVITIES

Adding It All Up Podcast

Data-Driven Minds: Prepping Students for a Smarter Future


Connecting Math to the Real World:

  • Mahmoud talks about helping students see how math connects to everyday decisions and social issues. What’s an example of data you’ve seen (online, in sports, or in your community) that made you think differently about something?

Using Data to Tell Stories:

  • Mahmoud emphasizes that data can tell powerful stories when students analyze it critically. How can data be used to challenge stereotypes or change opinions?

Becoming a Data-Driven Thinker:

  • The guests describe data literacy as a key future skill. What does being “data-driven” mean to you, and how could understanding data help you in your career or personal life?

ADVICE TO YOUNGER SELF

Watch: From Kindergarten to Graduation: Real-World AI Implementation in CS Ed — CSTA 2025 Closing Keynote (34:43–39:52)

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