08-25, 13:00–13:40 (Asia/Kuala_Lumpur), JC 1
Our profession demands us to continuously learn new things and improve our skills while requiring us to manage our busy schedules. This talk addresses how to efficiently optimize time for learning. By understanding how our brain processes information and exploring effective learning strategies, pythonistas will gain practical tools to enhance their learning efficiency.
Pythonistas are constantly bombarded with new information and ever-changing demands. Despite their hectic schedules, they need to learn and adapt quickly.
In this talk I will explore methods to efficiently use our limited time for learning. I will delve into how the brain works during the learning process and discuss effective strategies for creating a comprehensive understanding of any topic.
Key points include:
- Understanding how the brain processes information in learning.
- Effective strategies for building a learning model:
- Gathering and prioritizing information
- Note-taking and chunking information
- Formulating hypotheses
- Creating an integrated higher-order understanding
- Practical application of these strategies to a learning example.
By the end of the talk, you will have actionable insights and strategies to enhance your learning processes, culminating with a practical demonstration of applying these concepts to learning a Python topic.
Matt is a technology and community leader passionate about exploring the learning process and applying these insights to foster the professional growth of his team, volunteer leaders in his community, and students.