Hack your learning 2022 - Part 1
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The document explores effective learning techniques based on neuroscience and cognitive principles, highlighting the importance of handwritten notes, deliberate practice, and the development of mental models for mastery. It debunks common learning myths, advocates for feedback and reflection, and offers strategies for continuous improvement in learning. Key insights emphasize that effective learning involves structured practice, timely feedback, and leveraging individual learning styles.
Hack your learning 2022 - Part 1
- 1. Hack your learning PART I Use Neuro-science and Cognitive learning techniques to help you learn faster! John Clegg Co-CEO Summer of Tech
- 3. A story about learning
- 4. A story about learning 7234234023748237402735 0244810528352039203480 92734234929834729347982 7496252610242312
- 5. STOP
- 6. STOP Before we start Take hand written notes
- 7. Science: ● When you hand write notes you summarise, paraphrase . (Creates new connects in your brain) ● Laptop note taking results in more verbatim copying of content . (You remember less)
- 8. “Learning isn’t a way to reaching one’s potential but rather a way of developing it. We create our own potential” Anders Ericsson
- 9. HOW LONG DOES IT TAKE TO LEARN SOMETHING?
- 10. 20 hours* Learn a skill
- 13. LEARNING MYTHS
- 14. Left Brain vs Right Brain
- 15. There is no silver bullet
- 16. Multi-tasking
- 17. Learning Styles
- 18. Google is only thing I need ...
- 19. Feedback
- 21. Myths Talent IQ
- 22. People don’t even try to get better at something because they believe that they just don’t have what it takes
- 23. What’s going on in the brain when you learn...
- 25. I want to teach you to become an EXPERT
- 26. I want to teach you to become an EXPERT at ANYTHING
- 28. Domain Skills & Knowledge
- 30. Chess Grandmasters recognise thousands of game patterns
- 31. Feedback loops
- 32. Practice more effectively Practice more effectively
- 33. Mental Models are the building blocks of learning Mental Models are the building blocks of learning KEY INSIGHT
- 34. Making connections between new and old information is what fuels your “Mental Models” KEY INSIGHT
- 35. Reflecting on feedback on what you learned will help make new connections KEY INSIGHT
- 36. How do you become an EXPERT?
- 37. Practice
- 38. It’s not harder practice It’s not longer practice It’s better practice
- 39. Practice makes permanent Most practice locks in whatever is practiced
- 40. HOW?
- 41. Exercise Remember a time when learning was EASY !
- 43. What mental state were you in when learning was easy?
- 45. Visual
- 48. Kinetic
- 51. Aural Strategies
- 52. Lists Reading Writing Writing Reading / Writing Strategies
- 54. vark-learn.com/the-vark-questionnaire/ goo.gl/eAGR4H Find your style - take the test
- 56. Kaizen Principles Feedback: The core principle of Continuous Improvement(CI) is the (self) reflection of processes. Efficiency: The purpose of CI is the identification, reduction, and elimination of suboptimal processes. Evolution: The emphasis of CI is on incremental, continual steps rather than giant leaps.
- 62. Learning model
- 63. Skills that you’ve mastered, need work
- 65. i) Deliberate Practice i) Deliberate Practice
- 66. Deliberate Practice is a highly structured activity engaged in with the specific goal of improving performance
- 67. 1) Motivation 2) Existing Knowledge 3) Feedback 4) Repetitive Tasks / Practice Deliberate Practice Principles
- 69. 2) Build on your knowledge
- 70. 3) Feedback
- 71. 4) Repetition
- 72. Steps for Deliberate Practice 1 Big Goal 2 Small Goal 3 Chunk Tasks 4 Do it ! 5 Evaluate 6 Strategise
- 73. 1) Big goal
- 74. 2) Small goal
- 75. 3) Chunk tasks Design practice exercises to achieve your small goals that will take a fine-grained task from unreliable to 95% reliability. Within one to three 45-90 minute sessions
- 76. Wait! We need to Prepare Watch videos Install tools / Fix equipment Prepare Environment
- 77. 4) Do it
- 78. 5) Get Feedback
- 79. If you can’t do get reliable to 95% in 2-3 sessions STOP You need to break in parts 6) Evaluate
- 80. 6) Evaluate
- 81. Re-evaluate what you need to achieve your goal Plot a path to your goal 7) Strategise
- 83. ● Vary your learning approaches ○ Boredom is your enemy ○ Too hard and you’ll get bored ● Count good repetitions ○ Keep score Deliberate Practice Tips
- 84. ● Learning has gotta hurt ○ You must push yourself ● Slow down - get the right pace ● Surround yourself with experts ● Go to meetups / hands-on workshops Deliberate Practice Tips
- 85. ● Imagine worst case scenarios ○ Flip it and figure out how learn to avoid these scenario ● Get advice to on how set expectations Deliberate Practice Tips
- 86. Not deliberate practice ● Step-by-step tutorials ● Listening to a lecture or presentation. Not all Practice is Deliberate Practice NO
- 88. Exercism.io 1. Fetch the exercise 2. Write code to solve the exercise on your own computer, satisfying each of the tests. 3. Submit your solution You also get to see other people's solutions to the same problem 4. Review feedback and look at how other people solved the same problem on the website. Ask questions to help you get the answer 5. Improve your solution and resubmit as many times as desired. Deliberate Practice Sites
- 89. How to get the best of Deliberate Practice 1) Structure your learning 2) “Prepare” to learn: Videos & Tools 3) Remove distractions 4) Learn what is just out of reach 5) Get timely feedback KEY INSIGHTS
- 92. Perceptual learning is a process by which the ability of sensory systems to respond to stimuli is improved through experience
- 93. Plane spotters in WWII Plane spotters in WWII Plane spotters in WWII
- 94. How does it work?
- 95. How does it work?
- 96. Perpetual Knowledge Machine learning for humans
- 97. NASA and UCLA study ● Got a group of non-pilots students ● Taught to identify 7 key components of flightdeck ● < 2 hours of exposure and only 5 mins of actual instruction ● Out performed pilots who had 1000+ flight hours Does it really work ?
- 98. How to get the best of Perceptual Knowledge 1) Try to figure it out first 2) “Guess” 3) Get timely feedback 4) When stuck ask for more context KEY INSIGHTS
- 99. Improving Learning at Work Improving Learning at Work
- 100. Read the Source
- 101. Lectures / Talks
- 102. ● Do the reading in advance ● Write down key findings ● Ask questions to affirm your model ● Reflect on what you learned Build your mental model MAXIMISE LEARNING
- 104. ● Work through tasks ● Focus on stretching your learning ● Get Support & Feedback Code workshops MAXIMISE LEARNING
- 106. Building a learning plan “HOW TO LEARN MACHINE LEARNING”
- 107. i) Use google to find to out how to start https://teachablemachine.withgoogle.com/ ii) Watch some tutorials and read some blogs https://machinelearningmastery.com/basic-concepts-in-machi ne-learning/ FIGURE OUT WHAT YOU NEED LEARN FIRST 1) BIG GOAL “Learn machine learning”
- 108. iii) Checklist of what I need to learn ● Python ○ What tools should I install and learn ○ Sci-kit, numpy, Jupyter notebooks ● Basic Data Science techniques ○ Classification, Regression, Clustering 1) BIG GOAL “Learn machine learning”
- 109. i) What do I what to learn Read tutorial on Classification http://scikit-learn.org/stable/tutorial/text_analy tics/working_with_text_data.html#extracting-fe atures-from-text-files Goal work through classification problem, understand different models 2) SMALL GOAL “Classification”
- 110. iii) Work through tutorial to get basics running http://www.cse.chalmers.se/~richajo/dit865/assignment0.html LEARNING PLAN TO RUN THROUGH THE DIFFERENT CLASSIFIERS AND UNDERSTAND DIFFERENCES OF CLASSIFIERS 2) SMALL GOAL “Classification”
- 111. i) What do I what to learn Read tutorial on Classification http://scikit-learn.org/stable/tutorial/text_analy tics/working_with_text_data.html#extracting-fe atures-from-text-files ii) What do I need to get ready Install Python, Sci-kit, Jupyter iii) Description Analysis: What does data look like? 3) CHUNK TASKS “Classification”
- 112. i) Set time to do work and remove distractions (understand any dependencies or transformations to get the data working) ● Random Forest ● Regression ● Decision Tree 4) DO IT “Classification”
- 113. i) Work through the results and how they differ compared to what data science explanations describe 5) FEEDBACK “Classification”
- 114. i) What next ? ● Different examples? ● Learn when to apply different models to sets of data ? 6) EVALUATE “Classification”
- 115. i) Figure out the next step on your journey 7) STRATEGY “Classification”
- 117. Summary
- 118. i) Mental models are the building blocks of learning ii) Figure out how you learn (More in part 2) iii) Build skills by Practice iv) Accelerated Learning Techniques - Deliberate Practice = Focused learning - Perpetual Learning = Learning by Example SUMMARY
- 119. Resources
- 120. Interesting books about learning
- 121. Credits: Diagrams and concepts from the following books
- 123. Just one more thing...
- 125. Questions
- 126. Questions