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Are you a specialist or generalist?

This lesson delves into the specialist vs. generalist debate, exploring concepts like the 10,000-hour rule and 'sampling periods.' It also focuses on using modals of deduction to discuss past and present career paths.

C1 Work Business Psychology General Practical English Video
Are you a specialist or generalist?
Photo by Denise Jans / Unsplash

Summary

This downloadable PDF lesson for C1 ESL students explores the popular debate between choosing a specialist or a generalist career path. This advanced English class material uses an engaging video, vocabulary building exercises, and grammar practice to help students discuss career development, personal strengths, and strategic life choices.

The lesson helps advanced students critically analyze the "10,000 hours rule" versus the "sampling period" approach to mastery. Activities include a warm-up discussion on personal career aspirations, a listening comprehension task based on a TED-style talk, and vocabulary exercises to master terms like "wicked learning environment" and "shortsighted." Students will practice using modals of deduction to speculate about career paths and engage in speaking practice to apply their understanding of the topic. The material is designed to foster critical thinking and provide practical communication tools for discussing complex career and personal development concepts.

Activities

  • A warm-up discussion where students explore the concepts of "specialist" and "generalist" and reflect on their own tendencies.
  • Video comprehension questions based on a talk that challenges common beliefs about early specialization, introducing concepts like "sampling period" and "kind vs. wicked learning environments."
  • A vocabulary matching and fill-in-the-blanks exercise focusing on key terms from the video, such as "poster child," "quintessential," "dabbler," "extrapolate," and "epitome."
  • A grammar exercise focusing on modals of deduction/speculation (past and present), helping students to express certainty or possibility about past events and current situations related to career choices.
  • Speaking practice involving discussions where students apply new vocabulary and grammar to analyze real-world examples and their own career journeys.
00:00:7,211 Many of you here have probably heard of the 10,000 hours rule.
00:00:10,965 Itโ€™s the idea that to become great in anything takes
00:00:13,509 10,000 hours of focused practice.
00:00:15,970 So youโ€™d better get started as early as possible.
00:00:18,639 The poster child for this story is Tiger Woods.
00:00:22,477 His father famously gave him a putter when he was seven months old.
00:00:25,938 Fast forward to the age of 21โ€” heโ€™s the greatest golfer in the world.
00:00:29,192 Quintessential 10,000 hours story.
00:00:31,319 Another is that of the three Polgar sisters,
00:00:33,529 whose father decided to teach them chess in a very technical manner
00:00:36,699 from a very early age.
00:00:38,159 Two of his daughters went on to become grandmaster chess players
00:00:41,204 I got curious: if this 10,000 hours rule is correct,
00:00:43,956 then we should see that elite athletes get a head start
00:00:46,542 in so-called deliberate practice.
00:00:48,336 And in fact, when scientists study elite athletes,
00:00:50,671 they see that they spend more time in deliberate practice.
00:00:53,716 Not a big surprise.
00:00:55,009 When they actually track athletes over the course of their development,
00:00:58,387 the pattern looks like this:
00:00:59,806 the future elites tend to have what scientists call a sampling period,
00:01:3,351 where they try a variety of physical activities.
00:01:5,603 They gain broad general skills and delay specializing
00:01:9,023 until later than peers who plateau at lower levels.
00:01:11,859 That doesnโ€™t really comport with the 10,000 hours rule, does it?
00:01:15,071 So I started to wonder about other domains that we associate
00:01:17,907 with obligatory early specialization, like music.
00:01:21,119 Turns out the pattern is often similar.
00:01:22,995 The exceptional musicians didnโ€™t start spending more time in deliberate practice
00:01:26,791 than the average musicians until their third instrument.
00:01:29,585 They too tended to have a sampling period.
00:01:31,712 Even musicians we think of as famously precocious, like Yo-Yo Ma.
00:01:35,216 So this got me interested in exploring the developmental backgrounds
00:01:38,427 of people whose work I had long admired.
00:01:40,429 Duke Ellington shunned music lessons as a kid
00:01:42,765 to focus on baseball and painting and drawing.
00:01:45,017 Mariam Mirzakhani wasnโ€™t interested in math as a girl,
00:01:47,687 dreamed of becoming a novelist,
00:01:49,230 and went on to become the first and so far only woman to win the Fields Medal,
00:01:53,025 the most prestigious prize in the world in math.
00:01:55,278 Vincent van Gogh had five different careers before flaming out spectacularly,
00:01:59,740 and, in his late 20s,
00:02:0,825 picked up a book called โ€œThe Guide to the ABCs of Drawing.โ€
00:02:4,203 Claude Shannon was an electrical engineer at the University of Michigan
00:02:7,540 who took a philosophy course just to fulfill a requirement.
00:02:10,334 And in it he learned about a near century-old system of logic
00:02:13,671 by which true and false statements could be coded as ones and zeros
00:02:16,841 and solved like math problems.
00:02:18,467 This led to the development of binary code,
00:02:20,803 which underlies all of our digital computers today.
00:02:23,806 Frances Hesselbein took her first professional job at the age of 54,
00:02:27,602 and went on to become the CEO of the Girl Scouts.
00:02:30,271 Hereโ€™s an athlete Iโ€™ve followed.
00:02:32,064 He tried some tennis, some skiing, wrestling.
00:02:34,650 His mother was actually a tennis coach,
00:02:36,527 but she declined to coach him because he wouldnโ€™t return balls normally.
00:02:39,947 And he kept trying more sports:
00:02:41,449 handball, volleyball, soccer, badminton, skateboarding.
00:02:44,452 So who is this dabbler?
00:02:46,120 This is Roger Federer.
00:02:47,830 Every bit as famous as an adult as Tiger Woods.
00:02:50,917 And yet even tennis enthusiasts don't usually know anything
00:02:54,295 about his developmental story.
00:02:55,796 Why is that?
00:02:56,797 I think itโ€™s partly because the Tiger story is very dramatic,
00:02:59,675 but also because it seems like this tidy narrative
00:03:2,011 that we can extrapolate to anything that we want to be good at in our own lives.
00:03:5,973 But it turns out that in many ways, golf is a uniquely horrible model
00:03:9,227 of almost everything that humans want to learn.
00:03:11,437 Golf is the epitome of what the psychologist Robin Hogarth
00:03:14,148 called a kind learning environment.
00:03:15,858 Next steps and goals are clear; rules that are clear and never change.
00:03:20,363 When you do something, you get feedback that is quick and accurate.
00:03:24,116 Chess, also a kind learning environment.
00:03:26,744 On the other end of the spectrum are wicked learning environments
00:03:29,830 where next steps and goals may not be clearโ€” rules may change.
00:03:33,626 You may or may not get feedback when you do something,
00:03:36,170 it may be delayed, it may be inaccurate.
00:03:38,214 Which one of these sounds like the world we're increasingly living in?
00:03:41,717 So if hyper-specialization isnโ€™t always the trick in a wicked world, what is?
00:03:45,721 That can be difficult to talk about,
00:03:47,473 because sometimes it looks like meandering or zigzagging or keeping a broader view.
00:03:51,435 It can look like getting behind.
00:03:52,979 But if we look at research on technological innovation,
00:03:55,564 it shows that increasingly the most impactful patents are authored
00:03:58,693 by teams that include individuals
00:04:1,028 who have worked across a large number of different technology classes
00:04:4,282 and often merge things from different domains.
00:04:6,450 Someone whose work I've admired, who was sort of on the forefront of this,
00:04:9,954 is a Japanese man named Junpei Yokoi.
00:04:11,747 Yokoi didn't score well in his electronics exams at school,
00:04:14,542 so he had to settle for a low-tier job as a machine maintenance worker
00:04:17,837 at a playing card company in Kyoto.
00:04:19,547 He combined some well-known technology from the calculator industry,
00:04:22,758 with some well-known technology from the credit card industry,
00:04:25,761 and made handheld games.
00:04:26,929 And it turned this playing card company,
00:04:29,098 which was founded in a wooden storefront in the 19th century,
00:04:32,059 into a toy and game operation.
00:04:33,853 You may have heard of it, itโ€™s called Nintendo.
00:04:36,063 His magnum opus was the Game Boy.
00:04:38,316 We probably don't make as many of those people as we could,
00:04:41,235 because we don't tend to incentivize anything that doesn't
00:04:43,946 look like a head start or specialization.
00:04:46,115 And naturally, I think there are as many ways to succeed as there are people,
00:04:50,077 but I think we tend only to incentivize and encourage the Tiger path,
00:04:53,914 when increasingly, in a wicked world, we need people
00:04:56,375 who travel the Roger path as well.
00:04:58,377 Or as the eminent physicist and mathematician and writer
00:05:1,422 Freeman Dyson put it:
00:05:2,965 โ€œFor a healthy ecosystem, we need both birds and frogs.
00:05:6,719 Frogs are down in the mud seeing all the granular details.
00:05:9,722 The birds are soaring up above, not seeing those details,
00:05:12,516 but integrating the knowledge of the frogs.โ€
00:05:14,602 And we need both.
00:05:15,644 The problem, Dyson said, is that weโ€™re telling everyone to become frogs.
00:05:20,149 And I think in a wicked world, that's increasingly shortsighted.

Vocabulary focus

The vocabulary section introduces advanced terms and phrases from the video, essential for discussing career strategies and personal development. Key terms include "poster child," "quintessential," "dabbler," "extrapolate," "epitome," "wicked learning environment," "incentivize," and "shortsighted." Students will learn to use these terms in the context of career paths and learning approaches.

Grammar focus

This lesson concentrates on modals of deduction and speculation in the present and past. Students will review and practice using structures such as "must be/have been," "can't be/have been," and "may/might/could be/have been" to express degrees of certainty about career choices, personal attributes, and the implications of different learning paths.


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