Chapter 9 Module 8: Assessment and Growth
Welcome to the final module of your data science education journey! This module focuses on how to recognize and assess data science learning, design appropriate evaluation strategies for your context, and plan your continued growth as a data science educator.
Assessment and Growth in data science education isn’t about testing students on technical procedures or memorized definitions. It’s about recognizing when students are thinking like data scientists—asking good questions, reasoning with evidence, and communicating their findings clearly. It’s also about planning your own continued development in this exciting field.
By the end of this module, you’ll understand what data science learning looks like in practice, have concrete strategies for assessing student growth in data science thinking, a rubric customized for your teaching context, and a clear plan for your own continued learning and growth as a data science educator.
