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How You & Your Team Can Learn Data Skills More Effectively

Webinar

Education can be the silver bullet for increasing productivity and personal satisfaction. Unfortunately, bad education is at best a waste of time and money, and at worst is demotivating. Fortunately, decades of research mean that we know a lot about how to teach well and how to learn well.

In this session Jo Boaler, the Nomellini & Olivier Professor of Mathematics Education at Stanford University, explains what we know about how to learn quantitative subjects well. You'll learn about the power of mindset on learning, the impact of physical movement and communication on understanding, and other techniques from neuroscience on how to learn in a more effective way. The techniques discussed originate from research in neuroscience and the learning sciences, but are also applicable to the world of data. Whether you are a teacher or a learner, you'll discover ways to improve your training program.

Key Takeaways:

  • Learn techniques backed by neuroscience for how to learn data and math in a more effective way
  • Learn how to overcome fear of technical subjects.
  • Learn about the power of “ish” for learning and for life.

Resources

Summary

This webinar explores the complexities of teaching and learning, and the transformative power of education. It delves into how effective learning can help overcome fear and promote data literacy. The host, Richie, introduces Joe Bowler, a mathematics education expert from Stanford University, who shares insights from her research and books like "Limitless Minds" and "Mathish". Bowler emphasizes the importance of a limitless mindset, the power of struggle in learning, and the value of diverse approaches to problem-solving. By highlighting the importance of a growth mindset and flexible thinking, she shows how understanding our brain's capacity for change can transform educational experiences. Through engaging stories and practical advice, such as encouraging diversity in mathematics and embracing struggle, this session unveils strategies for creating an environment where learning is about reshaping identities besides acquiring knowledge. As Bowler states, "The best times for your learning are when you're struggling and making mistakes," emphasizing that deep, meaningful learning often comes from challenging moments.

Key Takeaways:

  • Adopting a growth mindset can greatly improve learning and understanding.
  • Struggling and making mistakes are vital for brain growth and learning.
  • Diverse approaches to problem-solving enrich the learning experience.
  • Flexible thinking is essential in solving real-world mathematical and data challenges.
  • Encouraging collaborative learning leads to a deeper understanding and engagement.

Deep Dives

Importance of a Growth Mindset

The concept of a gr ...
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owth mindset is central to effective learning, as highlighted by Joe Bowler. Contrary to the fixed mindset that assumes abilities are static, a growth mindset encourages the belief in one's ability to learn and develop new skills. Bowler uses neuroscience to explain how our brains are constantly growing and changing, with learning facilitating the creation and strengthening of neural pathways. This highlights the idea that anyone can learn anything, given the right mindset. She shares an inspiring story of Nicholas Letchford, once labeled as learning disabled, who later earned a doctorate in applied mathematics from Oxford, showing that past labels do not define future potential. Adopting a growth mindset not only enhances learning but also positively affects health, reduces negative emotions, and can even increase longevity.

The Learning Power of Struggle

Struggle is often perceived negatively, yet Bowler emphasizes its vital role in the learning process. Struggling and making mistakes are when the brain is most active, leading to growth and deeper understanding. This concept is supported by research showing that synapses fire when mistakes are made, indicating brain activity and learning. Bowler encourages educators and learners to view struggle as a positive experience, suggesting that the discomfort of grappling with difficult concepts is where true learning occurs. This approach challenges traditional educational models that prioritize quick recall and correctness, advocating instead for an environment where students are encouraged to tackle challenging problems and see mistakes as learning opportunities.

Diverse Approaches to Problem-Solving

Diversity in problem-solving is a theme Bowler advocates for, highlighting that varied approaches can lead to richer learning experiences. She illustrates this with a simple math problem, 18 times 5, showing multiple ways to get the solution, from visualizing the problem to breaking it down into simpler calculations. This diversity in thought reflects real-world scenarios where problems can be approached from different angles. Bowler's emphasis on valuing different perspectives extends beyond math, suggesting that diverse teams and varied problem-solving strategies can lead to more innovative solutions in any field. The key is creating an environment that appreciates and encourages different ways of thinking.

Flexible Thinking and Its Real-World Applications

Flexible thinking, or what Bowler refers to as "elastic thinking," is essential in handling both academic and real-world challenges. This type of thinking allows individuals to adapt to new situations and solve problems creatively. Bowler contrasts algorithmic thinking, which is procedural and often performed better by computers, with flexible thinking, which is creative and uniquely human. In her book "Mathish," she explores how most real-world math involves "ish" numbers, which are approximate rather than precise. This perspective encourages learners to think conceptually and adaptively, preparing them for the complexities and nuances of real-world situations. By promoting flexible thinking, educators can equip students with a mindset that is not only adaptable but also innovative.

Jo Boaler Headshot
Jo Boaler

Nomellini & Olivier Professor of Mathematics Education at Stanford University

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