Tweet
Tweet

Slide 1

Slide 1 text

Cultivating Instinct Katrina Owen Exercism

Slide 2

Slide 2 text

"You're Dr. Vilayanur S. Ramachandran!" —me

Slide 3

Slide 3 text

"Yes. Yes I am." —vsr

Slide 4

Slide 4 text

(very politely): "Who the hell are you?" —vsr

Slide 5

Slide 5 text

"Some rando." —me

Slide 6

Slide 6 text

"..." —vsr

Slide 7

Slide 7 text

"I live with a synaesthete!" —me

Slide 8

Slide 8 text

No content

Slide 9

Slide 9 text

"Two is such a cheerful, cuddly number!" —my classmate

Slide 10

Slide 10 text

No content

Slide 11

Slide 11 text

No content

Slide 12

Slide 12 text

"I'm hungry." —babies everywhere

Slide 13

Slide 13 text

Expertise

Slide 14

Slide 14 text

An expert isn't just a faster novice.

Slide 15

Slide 15 text

Intuition

Slide 16

Slide 16 text

TODO picture

Slide 17

Slide 17 text

"You can see bacteria from 40k feet?!?" —researcher

Slide 18

Slide 18 text

Experts can't tell you how they know

Slide 19

Slide 19 text

How do you teach intuition?

Slide 20

Slide 20 text

They don't know how they know.

Slide 21

Slide 21 text

Well, actually...

Slide 22

Slide 22 text

TODO picture

Slide 23

Slide 23 text

Science

Slide 24

Slide 24 text

Dr. Eleanor Gibson

Slide 25

Slide 25 text

No content

Slide 26

Slide 26 text

No content

Slide 27

Slide 27 text

No content

Slide 28

Slide 28 text

Meaningful dimensions

Slide 29

Slide 29 text

No content

Slide 30

Slide 30 text

Differentiation

Slide 31

Slide 31 text

Perceptual resolution

Slide 32

Slide 32 text

TODO picture

Slide 33

Slide 33 text

Perceptual learning

Slide 34

Slide 34 text

Differences in perception of novices and experts

Slide 35

Slide 35 text

How we extract information

Slide 36

Slide 36 text

Units

Slide 37

Slide 37 text

Novices see unrelated pieces of data. Experts see patterns.

Slide 38

Slide 38 text

Selectivity

Slide 39

Slide 39 text

Novices pay attention to irrelevant data. Experts don't even notice it.

Slide 40

Slide 40 text

How we extract information

Slide 41

Slide 41 text

How efficiently we extract information

Slide 42

Slide 42 text

Search type

Slide 43

Slide 43 text

Novices process serially. Experts process in parallel.

Slide 44

Slide 44 text

Novices process slowly. Experts process quickly.

Slide 45

Slide 45 text

Novices have a high attentional load. Experts process effortlessly.

Slide 46

Slide 46 text

No content

Slide 47

Slide 47 text

Discovery effects units selectivity

Slide 48

Slide 48 text

Fluency effects speed search type attentional load

Slide 49

Slide 49 text

TODO picture

Slide 50

Slide 50 text

Dr. Philip Kellman

Slide 51

Slide 51 text

TODO picture

Slide 52

Slide 52 text

Visual navigation

Slide 53

Slide 53 text

20 seconds of video 3 locations on a map

Slide 54

Slide 54 text

Reaction time: 30s

Slide 55

Slide 55 text

Accuracy: 50%

Slide 56

Slide 56 text

3 hours of training

Slide 57

Slide 57 text

Accuracy: 80% (up from 50%)

Slide 58

Slide 58 text

Reaction time: 15s (down from 30s)

Slide 59

Slide 59 text

Naive subjects

Slide 60

Slide 60 text

Accuracy: 60% (up from: random guess)

Slide 61

Slide 61 text

Reaction time: 20s (down from: dismal)

Slide 62

Slide 62 text

Non-pilots crushed it

Slide 63

Slide 63 text

TODO picture

Slide 64

Slide 64 text

Find a part (given the whole)

Slide 65

Slide 65 text

Find the whole (given a part)

Slide 66

Slide 66 text

Different representations

Slide 67

Slide 67 text

Scores improved (dramatically)

Slide 68

Slide 68 text

TODO picture

Slide 69

Slide 69 text

Perceptual Learning in Code

Slide 70

Slide 70 text

"You have a race condition on line 26." —my friend

Slide 71

Slide 71 text

Code review

Slide 72

Slide 72 text

Troubleshooting

Slide 73

Slide 73 text

TODO picture

Slide 74

Slide 74 text

Profiling

Slide 75

Slide 75 text

Refactoring

Slide 76

Slide 76 text

"How do you know where to begin?" —lots of people

Slide 77

Slide 77 text

Debugging

Slide 78

Slide 78 text

"Wait, what's that foreign key value?" —@tenderlove

Slide 79

Slide 79 text

mysql's max int 2,147,483,647

Slide 80

Slide 80 text

TODO picture

Slide 81

Slide 81 text

Abstractions

Slide 82

Slide 82 text

99 Bottles of Beer on Exercism

Slide 83

Slide 83 text

TODO picture

Slide 84

Slide 84 text

"How did you know?" —me

Slide 85

Slide 85 text

"It was obvious." —Sandi

Slide 86

Slide 86 text

Instinct (explained)

Slide 87

Slide 87 text

TODO picture

Slide 88

Slide 88 text

An Amateur's Guide

Slide 89

Slide 89 text

Brief classification episodes

Slide 90

Slide 90 text

Active judgement

Slide 91

Slide 91 text

Feedback

Slide 92

Slide 92 text

TODO picture

Slide 93

Slide 93 text

Lots of examples

Slide 94

Slide 94 text

No duplicates

Slide 95

Slide 95 text

Complex variation

Slide 96

Slide 96 text

Noise and distractors

Slide 97

Slide 97 text

TODO picture

Slide 98

Slide 98 text

Identifying a target skill

Slide 99

Slide 99 text

???

Slide 100

Slide 100 text

Naturalistic Decision Making

Slide 101

Slide 101 text

Sources of Power by Gary Klein

Slide 102

Slide 102 text

What next?

Slide 103

Slide 103 text

Unambiguous taxonomy

Slide 104

Slide 104 text

Well-defined activity

Slide 105

Slide 105 text

Fundamental distinction

Slide 106

Slide 106 text

No content

Slide 107

Slide 107 text

Programmer population doubles every 5 years

Slide 108

Slide 108 text

50% of programmers have <5 years experience

Slide 109

Slide 109 text

No signal—just noise

Slide 110

Slide 110 text

We need to go beyond the mere mechanics

Slide 111

Slide 111 text

Thank you

Slide 112

Slide 112 text

Katrina Owen @kytrinyx Co-founder and Principle Janitor Exercism

Slide 113

Slide 113 text

Katrina Owen @kytrinyx Co-author, with Sandi Metz 99 Bottles of OOP

Slide 114

Slide 114 text

Cultivating Instinct