【TCS Experiential Learning Friday | G9 AI Statistical Thinking】
- Ring Chen
- Jan 2
- 1 min read
This G9 AI Statistical Thinking session looked very different from a traditional math or statistics class.
Instead of long formula-based instruction or fixed answers, learning took place through a series of logic-based games that emphasized thinking, strategy, and choice.
Each activity required teamwork, discussion, and real-time decision-making.
Students worked with limited information and time, evaluating risk, adjusting strategies, and explaining the reasoning behind their choices.
The focus was not on speed or accuracy alone, but on understanding the decision-making process.
One activity involved a Texas Hold’em simulation.
As chips moved across the table and discussions grew lively, abstract ideas about statistics and probability became tangible.
Through experiences like these, students moved beyond chasing precise closed-form solutions.
They learned to work within constraints, understand probability and risk, and make better-informed decisions in complex, real-world situations.
