Hack your learning 2019
•
1 like•271 views
Ever wondered how you can accelerate your learning. Here is a deck that shows some of the latest research on neuroscience and cognitive science on learning. The slides will cover two key techniques: Deliberate Learning and Perceptual Knowledge to help you learn skills faster and become an expert at anything.
Report
Share
Hack your learning 2019
- 1. Hack your learning Use Neuro-science and Cognitive learning techniques to help you learn faster! Summer of Tech 2019
- 2. A story about learning
- 3. A story about learning 723423402374823740273502 448105283520392034809273 423492983472934798274962 52610242312
- 5. STOPBefore we start Take hand written notes
- 6. 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)
- 7. “Learning isn’t a way to reaching one’s potential but rather a way of developing it. We create our own potential” Anders Ericsson
- 8. HOW LONG DOES IT TAKE TO LEARN?
- 9. 20 hours * Learn a skill
- 12. LEARNING MYTHS
- 13. Left Brain vs Right Brain
- 14. There is no silver bullet
- 15. Multi-tasking
- 16. Learning Styles
- 17. Google is only thing I need ...
- 18. Feedback
- 20. Myths Talent IQ
- 21. People don’t even try to get better at something because they believe that they just don’t have what it takes
- 22. I want to teach you to become an EXPERT
- 23. I want to teach you to become an EXPERT at ANYTHING!
- 24. A quick look at what makes an expert...
- 25. Domain Skills & Knowledge
- 27. Chess Grandmasters recognise thousands of game patterns
- 28. Feedback loops
- 29. Practice more effectivelyPractice more effectively
- 30. Mental Models are the building blocks of learning Mental Models are the building blocks of learning KEY INSIGHT
- 31. Making connections between new and old information is what fuels your “Mental Models” KEY INSIGHT
- 32. Reflecting on feedback on what you learned will help make new connections KEY INSIGHT
- 33. HOW DO YOU BECOME AN EXPERT?
- 34. Practice
- 35. It’s not harder practice It’s not longer practice It’s better practice
- 36. Practice makes permanent Most practice locks in whatever is practiced
- 37. HOW?
- 38. Remember a time when learning was easy
- 41. Visual
- 44. Kinetic
- 47. Aural Strategies
- 48. Lists Reading Writing Writing Reading / Writing Strategies
- 50. vark-learn.com/the-vark-questionnaire/ goo.gl/eAGR4H Find your style - take the test
- 52. 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.
- 58. Learning model
- 59. Skills that you’ve mastered, need work
- 61. i) Deliberate Practicei) Deliberate Practice
- 62. Deliberate Practice is a highly structured activity engaged in with the specific goal of improving performance
- 63. 1) Motivation 2) Existing Knowledge 3) Feedback 4) Repetitive Tasks / Practice Deliberate Practice Principles
- 65. 2) Build on your knowledge
- 66. 3) Feedback
- 67. 4) Repetition
- 68. Steps for Deliberate Practice 1 Big Goal 2 Small Goal 3 Chunk Tasks 4 Do it ! 5 Evaluate 6 Strategise
- 69. 1) Big goal
- 70. 2) Small goal
- 71. 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
- 72. Wait! We need to Prepare Watch videos Install tools / Fix equipment Prepare Environment
- 73. 4) Do it
- 74. 5) Get Feedback
- 75. If you can’t do get reliable to 95% in 2-3 sessions STOP You need to break in parts 6) Evaluate
- 76. 6) Evaluate
- 77. Re-evaluate what you need to achieve your goal Plot a path to your goal 7) Strategise
- 79. ● Vary your learning approaches ○ Boredom is your enemy ○ Too hard and you’ll get bored ● Count good repetitions ○ Keep score Deliberate Practice Tips
- 80. ● 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
- 81. ● 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
- 82. Not deliberate practice ● Step-by-step tutorials ● Listening to a lecture or presentation. Not all Practice is Deliberate Practice NO
- 84. 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
- 85. 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
- 87. Perceptual learning is a process by which the ability of sensory systems to respond to stimuli is improved through experience
- 88. Plane spotters in WWIIPlane spotters in WWIIPlane spotters in WWII
- 89. How does it work?
- 90. How does it work?
- 91. Perpetual Knowledge Machine learning for humans
- 92. 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 ?
- 93. 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
- 94. Improving Learning at WorkImproving Learning at Work
- 95. Read the Source
- 96. Lectures / TalksLectures / Talks
- 97. ● 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
- 99. ● Work through tasks ● Focus on stretching your learning ● Get Support & Feedback Code workshops MAXIMISE LEARNING
- 100. Building a learning plan “HOW TO LEARN MACHINE LEARNING”
- 101. 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-machine-l earning/ FIGURE OUT WHAT YOU NEED LEARN FIRST 1) BIG GOAL “Learn machine learning” https://www.youtube.com/watch?v= -UGtqb7yrvo
- 102. 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”
- 103. i) What do I what to learn Read tutorial on Classification http://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.ht ml#extracting-features-from-text-files Goal work through classification problem, understand different models 2) SMALL GOAL “Classification”
- 104. 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”
- 105. i) What do I what to learn Read tutorial on Classification http://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.ht ml#extracting-features-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”
- 106. 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”
- 107. i) Work through the results and how they differ compared to what data science explanations describe 5) FEEDBACK “Classification”
- 108. i) What next ? ● Different examples? ● Learn when to apply different models to sets of data ? 6) EVALUATE “Classification”
- 109. i) Figure out the next step on your journey 7) STRATEGY “Classification”
- 110. Building a learning plan “HOW TO LEARN PYTHON”
- 111. i) Use google to find to out how to start ii) Watch some tutorials and read some blogs FIGURE OUT WHAT YOU NEED LEARN FIRST 1) BIG GOAL “Learn Python”
- 112. iii) Checklist of what I need to learn 1) BIG GOAL “Learn Python”
- 113. iii) Checklist of what I need to learn 1) SMALL GOAL “Learn Python”
- 114. i) What do I what to learn 2) SMALL GOAL “Duck Typing”
- 115. 2) SMALL GOAL “Duck Typing”
- 116. 3) CHUNK TASKS “”
- 117. 4) DO IT “Duck Typing”
- 118. 5) FEEDBACK “Duck Typing”
- 119. 6) EVALUATE “Duck Typing”
- 120. i) Figure out the next step on your journey 7) STRATEGY “Duck Typing”
- 121. What Ideas do you have?
- 122. Tips Learning Tips
- 123. Preparation: Like a Chef
- 124. Prepare everything before your learning / study session ● Books ● Pads / Pens ● Laptop ● Study materials Stop any possibility of distraction Preparation: Like a Chef
- 125. When to learn
- 126. Are you a morning person? Late night owl ? Think about a time when a task was easy? When was it ? When when when
- 127. Think about when you do certain tasks Make notes and learn when you do X best When when when
- 128. Reading Strategies
- 129. 1. Previewing: Learning about a text before really reading it. 2. Contextualizing: Placing a text in its other learning materials of your course. 3. Questioning to understand and remember: Asking questions about the content. 4. Outlining and summarizing: Identifying the main ideas and restating them in your own words. 5. Evaluating an argument: Testing the logic of a text 6. Comparing and contrasting related readings: Exploring likenesses and differences between texts to understand them better. Reading Strategies
- 130. Highlighting commits to short term memory Better to: Quiz yourself or show others Writing notes in the margin Highlighting doesn’t work NO
- 131. Tips Classical Music
- 133. Interesting books about learning
- 134. Credits: Diagrams and concepts from the following books
- 135. Questions?
- 136. Thanks!