What will today’s kindergartners need in order to succeed in the world as the Class of 2030?
“Student-centricity,” according to research conducted by McKinsey & Company on behalf of Microsoft Education, and showcased on the opening day at Bett, the world’s largest educational technology show here.
“That’s a theme we heard loud and clear: focusing on the learner,” said Barbara Holzapfel, the general manager of education marketing for Microsoft, during a presentation about the findings that attracted hundreds of people at a “standing room only” session of the conference.
They want to be supported by teachers who understand their needs, and want to be able to explore for themselves what interests them, she said.
Exhibiting that very trait were three 10-year-olds from Hong Kong, who came to the massive ed-tech show with their teacher Ms. Wong, to show off some of the inventions they built and programmed, including a paper airplane launcher and a tea-making machine that allows their teacher to choose how strong she wants her tea.
Here, the 5th-grade students from a government school explain what their invention does:
The automatic tea maker was a gift for their teacher, who explains their invention:
And the girls explain their favorite part about collaborating on the month-long project to create an automatic tea maker:
But what will all this student-centricity mean for teachers? “Teaching is one of the professions at the least risk of being automated,” said Holzapfel, who said the field is expected to grow exponentially.
The teacher “will morph into a guide and coach for students,” she said. “This is a generation that expects to have voice/choice in their own learning journey…and how they navigate it.”
Jobs of the Future
Lower-skill jobs are likely to continue to be replaced by automation. By 2030, “the fastest-growing occupations will require higher-level cognitive skills in areas such as collaboration, problem-solving, critical thinking, and creativity,” the researchers found, according to an announcement about the study. “To help all students build these crucial cognitive and social and emotional skills, educators will need training, technologies, and time.” (See the special report Education Week produced recently on this topic: Schools and the Future of Work.)
McKinsey’s research was based on input from 70 “thought leaders,” an analysis of 150 pieces of relevant research, and surveys of 2,000 teachers and 2,000 students across the U.S., the U.K., Canada, and Singapore.
The future of learning, work and life “is going to be profoundly social,” said Holzapfel, so students will need to develop and apply social and emotional skills. In fact, researchers found these “soft skills” to be twice as predictive of academic achievement as home environment and demographics.
Among the students surveyed, 50 percent indicated social-emotional skills were among their top priorities, compared with 30 percent of teachers. But perceptions differ. While only 30 to 40 percent of students feel they are receiving feedback on these skills, between 50 and 60 percent of teachers feel they are providing it.
Personalized Learning: Part of the Solution
Personalized learning is one of the most promising ways to develop social-emotional skills, according to the study. (See the special report Education Week produced recently on this topic: Personalized Learning: Vision vs. Reality.)
“Research in the past has shown that personalized learning improves cognition and skill development,” said Holzapfel.
“Seventy percent of students believe they can achieve higher growth and more content mastery when they are supported by teachers who really understand them as individuals,” and their individual learning needs, she said.
But personalized learning “is in very high demand, but very short supply,” she explained, noting that 70 percent of teachers say time is a barrier to the approach. Teachers and students in the study disagreed on the pace of learning, with educators identifying time constraints and the ability to individualize to so many students as central to the problem.
Microsoft sees technology as key to the solution. “Artificial intelligence, mixed reality, collaborative platforms, and technologies that go way beyond that—all of these technologies can be really powerful tools” to help teachers save time and gain insights into the learning and progress of each individual student, Holzapfel said.
For more than three decades, Mitch Resnick has immersed himself in educational technology and innovative learning models. Now a professor at the MIT Media Lab, and a co-creator of the popular Scratch programming language, Resnick remains a tireless advocate for student-centered education, collaborative learning environments, and the idea that coding is a form of literacy.
His new book, Lifelong Kindergarten: Cultivating Creativity Through Projects, Passion, Peers, and Play, is a look at our current educational moment. “Roughly two-thirds of grade school students will end up doing work that hasn’t been invented yet,” Resnick contends, hinting at the emerging worlds of artificial intelligence, self-driving cars, and “smart” houses. How do we prepare today’s students to meet that challenge?
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We talked with Resnick about the importance of coding in our school system, his thoughts on the changing roles of teachers, and new ways to engage students—and assess their work.
EDUTOPIA: You moved from journalism—writing about computers and business—to the field of educational technology and learning in the 1980s. What inspired that move?
MITCH RESNICK: The most important shift for me in thinking about computers and learning was actually the spring of 1982, the West Coast Computer Faire—which is like an early form of Maker Faire—and Seymour Papert was giving a keynote address. When I heard Seymour talk, it gave me new vision of what role computers might play in people’s lives: They weren’t just machines to get a job done—they could enable people to express themselves in new ways, and change the way people thought about themselves and thought about the world. That was very exciting to me.
EDUTOPIA: Are we still struggling with Papert’s early insight—almost astonishing at the time—that the computer isn’t just a processor of information but a platform for constructing human knowledge?
RESNICK: Yes I think so, and it mirrors a struggle in the education system that has nothing to do with technology. Many people think of learning and education as a process of delivering information or delivering instruction. Other people see learning and education as student-centered—learning is about exploring, experimenting, creating. Those are very different visions that predate the computer, but of course the computer can fit into either of those two models. It’s a wonderful device for delivering information, but it can also be a wonderful device for creating, exploring, and experimenting.
EDUTOPIA: There are influential people, like Apple CEO Tim Cook, saying, “What we need to do is get coding into every single public school. It needs to be a requirement in public schools across the board.” Is that right?
RESNICK: If it were up to me, I would introduce it. But I want to be careful because I don’t want to embrace it for the same reason that some people might. The first question I would ask is: “Why should we learn coding at all?” Many people embrace coding in schools as a pathway to jobs as computer programmers and computer scientists, and of course they’re right that those opportunities are expanding rapidly. But that’s not a great reason for everyone to learn how to code.
Very few people grow up to be professional writers, but we teach everyone to write because it’s a way of communicating with others—of organizing your thoughts and expressing your ideas. I think the reasons for learning to code are the same as the reasons for learning to write. When we learn to write, we are learning how to organize, express, and share ideas. And when we learn to code, we are learning how to organize, express, and share ideas in new ways, in a new medium.
EDUTOPIA: What does that look like in the school system? Does coding sit alongside math and reading? Is it integrated in some way?
RESNICK: These days I talk about our approach in terms of these four words that begin with the letter p: projects, passion, peers, and play. So that’s the approach I would take with coding, but also with any other learning: getting students to work on projects, based on their passion, in collaboration with peers, in a playful spirit. And each of those p’s is important. I think work on projects gives you an understanding of the creative process, how to start with just the inkling of an idea and then to build a prototype, share it with people, experiment with it, and continue to modify and improve it.
We know that kids are going to work longer and make deeper connections to the content when they are passionate about the ideas—when they care—and when they’re learning with and being inspired by peers. And I’d want to have kids experience coding in the same way.
EDUTOPIA: You’re describing a high-choice learning environment rooted in student passion and project work. Where’s the teacher in that mix?
RESNICK: The teacher still plays an incredibly important role, but in this approach it’s not so much about delivering instruction. One role the teacher is playing is the role of connector—connecting peers with one another to work together on solving problems. Teachers also act as catalysts by asking provocative questions: “What do you think will happen if…?” or “That surprised me, why do you think that happened?”
They’re consultants, too, and it’s not just about consulting on technical skills, but also about things like how you continue to work on something even when you are frustrated, or suggesting strategies for working with diverse groups of people. Finally, the teacher can be a collaborator, working together with kids on projects—because kids should see teachers as learners too.
EDUTOPIA: It sounds like a more democratic, open system, which seems to imply breaking down a lot of barriers?
RESNICK: I think breaking down barriers is a good way to think about it. When I think about the type of things that I might change in schools—and I know none of it is easy—a lot of it is about breaking down barriers. Break down the barriers between class periods, because 50-minute chunks are too constraining if you want to work on projects. Break down the barriers between disciplines, because meaningful projects almost always cut across disciplines. Break down the barriers between ages and have older kids work with younger kids—both groups benefit. And break down the barriers between inside of school and outside of school—have kids work on projects that are meaningful to their communities and bring people from the communities into the schools to support the teachers.
That’s one way of dealing with the challenge of a single teacher committed to 30 or more kids. It doesn’t have to be that way. Older kids can be helping younger kids, people from the community can be helping.
EDUTOPIA: A fair question—and a common criticism—is: How do you figure out whether kids are learning anything? How do you assess it?
RESNICK: I would take a portfolio-like approach, looking at what kids create. That’s what we do in our Scratch online community. You can see that a kid has created several dozen digital projects, and you can look through their projects and see their progression. For example, you might see the gradual adoption of new strategies—new types of artwork, but also new and improved programming structures.
I acknowledge that it’s difficult to arrive at quantitative measures, but I also think we each don’t necessarily need to. I sometimes make the analogy to the way I’ve been evaluated here at MIT. There are actually no quantitative measures in the process. Basically, they look at my portfolio: They see what I’ve created, they look at the trajectory and the progress over time, and they ask other people’s opinions about it. You’ll sometimes hear, “Well that’s not serious, we need quantitative measures to be serious.” Are they making the claim that MIT is not serious? I understand the criticism that it’s inefficient, but I think those are things we are going to need to deal with.
Again, it’s a big change and I’m not saying it’s easy, but I do think we need to move in that direction.
With a patent to her name and more likely on the way, the 15-year-old has made it her mission to inspire young innovators
Benjamin Franklin invented swim flippers when he was 12 years old. Frank Epperson, age 11, conceived of the popsicle, and 16-year-old George Nissen thought up a trampoline.
Just last year, Kiowa Kavovit, then 6, became the youngest to pitch her invention—a liquid bandage called Boo Boo Goo—on ABC’s “Shark Tank.”
In the United States, there is no age requirement for filing a patent.
Alexis Lewis, a 15-year-old inventor in Chapel Hill, North Carolina, wants children across the country to know that an inventor isn’t something you have to be when you grow up; they can be one now. Lewis holds a patent for a wheeled travois—a triangular load-carrying device with a bamboo frame and a bed of netting that she designed to serve Somali refugees, who need to transport their children many miles to camps and hospitals. Her patent-pending emergency mask pod is a football-shaped canister with protective gear that firefighters and first responders can throw through a window of a smoke-filled building to those trapped inside.
The two-time winner of the ePals-Smithsonian Spark!LabInvent It Challenge, a competition for young inventors age 5 to 18, is a vocal advocate for “Inventing 101” courses to be a part of middle school curriculums.
Why should more people invent?
I think not only is it important to tell people that they can invent but it’s important also to tell them that they should be [inventing] because they have their own unique perspective on the world. Everybody has lived a different life, everybody has seen it [the world] slightly differently and I think everybody has a slightly different take on each problem. And I think if we all work together we can solve a tremendous number of problems.
What motivates you to invent?
My inventions are motivated by one of two things usually. One, it’s a humanitarian issue, basically people who aren’t getting the help they need, people who are dying unnecessarily when they could be saved. Another reason that I often invent is that I’ll get myself absolutely buried in a piece of physics, just learning about it obsessively. Then, I start to realize that there are little things that can be done to make technologies revolving around it a little bit more efficient here, a little bit more effective there.
Can you tell us a little bit about the environment you grew up in and how that’s impacted you as an inventor?
My mom would always read to the family about various world issues. When Hurricane Katrina hit [Alexis was 5 years old], we learned all about that—what a hurricane was, how it worked, the effects of Hurricane Katrina itself, what they were doing to help clear out floodwaters, all sorts of fascinating stuff. Being homeschooled, I had a lot of free time in which I was encouraged to basically go and do and build almost anything I wanted. I had access to videos on any subject, so I got to learn about the science of everything, and I read voraciously. I think having those channels of knowledge open to me was completely invaluable.
Do you think you have some advantages as an inventor given the fact that you’ve started young?
I don’t mean to put adults down, but when you’ve grown up and you’ve seen the world for a long time, you think its one way. I’d say that starting young has had an advantage in that I have the ability to look at something and not think, “oh this is a problem that can’t be solved,” but instead think maybe we’ve been looking at it just a little bit wrong. Kids, since they haven’t been told this is something that would never work over and over, have the have the ability to do that.
What is Inventing 101? Where did the idea come from, and why is it important to you?
It’s a class I hope to have administered to middle school students across the country that would basically tell them that they are capable of inventing. It would show them kids who have already invented. If people aren’t told when they’re young that they can invent, it’s going to be much harder to convince them that they can.
I had this idea when I was looking back at the stuff I had done, at my inventions and realizing that these are some simple [designs.] It’s not going to necessarily be the collapsible travois with custom made specially fabricated joints, it’s going to be the simple bamboo one that anybody can make. It’s not necessarily going to be the $700 grenade launcher, it’s going to be a little football-shaped pod that costs all of $4. People are stunned when they hear what I’ve done. But these are things that I know for a fact a lot of people can do. So I thought there’s got to be some way to awaken that self-confidence in people to enable them to do that.
How does your Emergency Mask Pod (EMP) work?
The emergency mask pod is basically a two-part football canister that holds a smoke mask made by Xcaper Industries, a pair of goggles and a little light-emitting device, most likely a LED light strip in the final version. The goggles allow people to concentrate more fully on getting out without having to worry about their eyes burning. The mask gives people the ability to breathe without dealing with the toxic effects of the smoke, and the light strip allows people to more easily locate the pod when it flies into a dark smoky room.
Designing the EMP pod was a process of trial and error. I’m a kid. I like things that go boom and shoot, and so my first thought was let’s just launch it up there. I did a whole bunch of research, and I was looking at a couple of different launcher mechanisms. I had the mascot of a local sports team fire a pneumatic cannon, basically a t-shirt cannon, into an open window from a very close distance, and accuracy was pretty abysmal. I went from a pneumatic cannon, which didn’t work at all, to a couple of so-so throwable devices, and ended up finally with a throwable canister with an accuracy of over 75 percent.
People think that the inventors of the world are the crazy mad scientists and white lab coats working long hours developing crazy new technologies. But that’s not the case. It’s not something reserved for Edison, Graham Bell, all the greats. Inventors are basically anybody and everybody who’s ever tried to solve a problem.
The conventional wisdom about 21st century skills holds that students need to master the STEM subjects — science, technology, engineering and math — and learn to code as well because that’s where the jobs are. It turns out that is a gross simplification of what students need to know and be able to do, and some proof for that comes from a surprising source: Google.
All across America, students are anxiously finishing their “What I Want To Be …” college application essays, advised to focus on STEM (Science, Technology, Engineering, and Mathematics) by pundits and parents who insist that’s the only way to become workforce ready. But two recent studies of workplace success contradict the conventional wisdom about “hard skills.” Surprisingly, this research comes from the company most identified with the STEM-only approach: Google.
Sergey Brin and Larry Page, both brilliant computer scientists, founded their company on the conviction that only technologists can understand technology. Google originally set its hiring algorithms to sort for computer science students with top grades from elite science universities.
In 2013, Google decided to test its hiring hypothesis by crunching every bit and byte of hiring, firing, and promotion data accumulated since the company’s incorporation in 1998. Project Oxygen shocked everyone by concluding that, among the eight most important qualities of Google’s top employees, STEM expertise comes in dead last. The seven top characteristics of success at Google are all soft skills: being a good coach; communicating and listening well; possessing insights into others (including others different values and points of view); having empathy toward and being supportive of one’s colleagues; being a good critical thinker and problem solver; and being able to make connections across complex ideas.
Those traits sound more like what one gains as an English or theater major than as a programmer. Could it be that top Google employees were succeeding despite their technical training, not because of it? After bringing in anthropologists and ethnographers to dive even deeper into the data, the company enlarged its previous hiring practices to include humanities majors, artists, and even the MBAs that, initially, Brin and Page viewed with disdain.
Project Aristotle, a study released by Google this past spring, further supports the importance of soft skills even in high-tech environments. Project Aristotle analyzes data on inventive and productive teams. Google takes pride in its A-teams, assembled with top scientists, each with the most specialized knowledge and able to throw down one cutting-edge idea after another. Its data analysis revealed, however, that the company’s most important and productive new ideas come from B-teams comprised of employees who don’t always have to be the smartest people in the room.
Project Aristotle shows that the best teams at Google exhibit a range of soft skills: equality, generosity, curiosity toward the ideas of your teammates, empathy, and emotional intelligence. And topping the list: emotional safety. No bullying. To succeed, each and every team member must feel confident speaking up and making mistakes. They must know they are being heard.
Google’s studies concur with others trying to understand the secret of a great future employee. A recent survey of 260 employers by the nonprofit National Association of Colleges and Employers, which includes both small firms and behemoths like Chevron and IBM, also ranks communication skills in the top three most-sought after qualities by job recruiters. They prize both an ability to communicate with one’s workers and an aptitude for conveying the company’s product and mission outside the organization. Or take billionaire venture capitalist and “Shark Tank” TV personality Mark Cuban: He looks for philosophy majors when he’s investing in sharks most likely to succeed.
STEM skills are vital to the world we live in today, but technology alone, as Steve Jobs famously insisted, is not enough. We desperately need the expertise of those who are educated to the human, cultural, and social as well as the computational.
No student should be prevented from majoring in an area they love based on a false idea of what they need to succeed. Broad learning skills are the key to long-term, satisfying, productive careers. What helps you thrive in a changing world isn’t rocket science. It may just well be social science, and, yes, even the humanities and the arts that contribute to making you not just workforce ready but world ready.
Like a lot of children, my sons, Toby, 7, and Anton, 4, are obsessed with robots. In the children’s books they devour at bedtime, happy, helpful robots pop up more often than even dragons or dinosaurs. The other day I asked Toby why children like robots so much.
“Because they work for you,” he said.
What I didn’t have the heart to tell him is, someday he might work for them — or, I fear, might not work at all, because of them.
It is not just Elon Musk, Bill Gates and Stephen Hawking who are freaking out about the rise of invincible machines. Yes, robots have the potential to outsmart us and destroy the human race. But first, artificial intelligence could make countless professions obsolete by the time my sons reach their 20s.
You do not exactly need to be Marty McFly to see the obvious threats to our children’s future careers.
Say you dream of sending your daughter off to Yale School of Medicine to become a radiologist. And why not? Radiologists in New York typically earn about $470,000, according to Salary.com.
But that job is suddenly looking iffy as A.I. gets better at reading scans. A start-up called Arterys, to cite just one example, already has a program that can perform a magnetic-resonance imaging analysis of blood flow through a heart in just 15 seconds, compared with the 45 minutes required by humans.
Maybe she wants to be a surgeon, but that job may not be safe, either. Robots already assist surgeons in removing damaged organs and cancerous tissue, according to Scientific American. Last year, a prototype robotic surgeon called STAR (Smart Tissue Autonomous Robot) outperformed human surgeons in a test in which both had to repair the severed intestine of a live pig.
So perhaps your daughter detours to law school to become a rainmaking corporate lawyer. Skies are cloudy in that profession, too. Any legal job that involves lots of mundane document review (and that’s a lot of what lawyers do) is vulnerable.
Software programs are already being used by companies including JPMorgan Chase & Company to scan legal papers and predict what documents are relevant, saving lots of billable hours. Kira Systems, for example, has reportedly cut the time that some lawyers need to review contracts by 20 to 60 percent.
As a matter of professional survival, I would like to assure my children that journalism is immune, but that is clearly a delusion. The Associated Press already has used a software program from a company called Automated Insights to churn out passable copy covering Wall Street earnings and some college sports, and last year awarded the bots the minor league baseball beat.
What about other glamour jobs, like airline pilot? Well, last spring, a robotic co-pilot developed by the Defense Advanced Research Projects Agency, known as Darpa, flew and landed a simulated 737. I hardly count that as surprising, given that pilots of commercial Boeing 777s, according to one 2015 survey, only spend seven minutes during an average flight actually flying the thing. As we move into the era of driverless cars, can pilotless planes be far behind?
Then there is Wall Street, where robots are already doing their best to shove Gordon Gekko out of his corner office. Big banks are using software programs that can suggest bets, construct hedges and act as robo-economists, using natural language processing to parse central bank commentary to predict monetary policy, according to Bloomberg. BlackRock, the biggest fund company in the world, made waves earlier this year when it announced it was replacing some highly paid human stock pickers with computer algorithms.
So am I paranoid? Or not paranoid enough? A much-quoted 2013 studyby the University of Oxford Department of Engineering Science — surely the most sober of institutions — estimated that 47 percent of current jobs, including insurance underwriter, sports referee and loan officer, are at risk of falling victim to automation, perhaps within a decade or two.
Just this week, the McKinsey Global Institute released a report that found that a third of American workers may have to switch jobs in the next dozen or so years because of A.I.
I know I am not the only parent wondering if I can robot-proof my children’s careers. I figured I would start by asking my own what they want to do when they grow up.
Toby, a people pleaser and born entertainer, is obsessed with cars and movies. He told me he wanted to be either an Uber driver or an actor. (He is too young to understand that those jobs are usually one and the same).
As for Uber drivers, it is no secret that they are headed to that great parking garage in the sky; the company recently announced plans to buy 24,000 Volvo sport utility vehicles to roll out as a driverless fleet between 2019 and 2021.
And actors? It may seem unthinkable that some future computer-generated thespian could achieve the nuance of expression and emotional depth of, say, Dwayne Johnson. But Hollywood is already Silicon Valley South. Consider how filmmakers used computer graphics to reanimate Carrie Fisher’s Princess Leia and Peter Cushing’s Grand Moff Tarkin as they appeared in the 1970s (never mind that the Mr. Cushing died in 1994) for “Rogue One: A Star Wars Story.”
My younger son Anton, a sweetheart, but tough as Kevlar, said he wanted to be a football player. Robot football may sound crazy, but come to think of it, a Monday night battle between the Dallas Cowdroids and Seattle Seabots may be the only solution to the sport’s endless concussion problems.
He also said he wanted to be a soldier. If he means foot soldier, however, he might want to hold off on enlistment. Russia recently unveiled Fedor, a humanoid robot soldier that looks like RoboCop after a Whole30 crash diet; this space-combat-ready android can fire handguns, drive vehicles, administer first aid and, one hopes, salute. Indeed, the world’s armies are in such an arms race developing grunt-bots that one British intelligence expert predicted that American forces will have more robot soldiers than humans by 2025.
And again, all of this stuff is happening now, not 25 years from now. Who knows what the jobs marketplace might look like by then. We might not even be the smartest beings on the planet.
Ever heard of the “singularity”? That is the term that futurists use to describe a potentially cataclysmic point at which machine intelligence catches up to human intelligence, and likely blows right past it. They may rule us. They may kill us. No wonder Mr. Musk says that A.I. “is potentially more dangerous than nukes.”
But is it really that dire? Fears of technology are as old as the Luddites, those machine-smashing British textile workers of the early 19th century. Usually, the fears turn out to be overblown.
The rise of the automobile, to cite the obvious example, did indeed put most manure shovelers out of work. But it created millions of jobs to replace them, not just for Detroit assembly line workers, but for suburban homebuilders, Big Mac flippers and actors performing “Greased Lightnin’” in touring revivals of “Grease.” That is the process of creative destruction in a nutshell.
But artificial intelligence is different, said Martin Ford, the author of “Rise of the Robots: Technology and the Threat of a Jobless Future.”Machine learning does not just give us new machines to replace old machines, pushing human workers from one industry to another. Rather, it gives us new machines to replace us, machines that can follow us to virtually any new industry we flee to.
Since Mr. Ford’s book sent me down this rabbit hole in the first place, I reached out to him to see if he was concerned about all this for his own children: Tristan, 22, Colin, 17, and Elaine, 10.
He said the most vulnerable jobs in the robot economy are those involving predictable, repetitive tasks, however much training they require. “A lot of knowledge-based jobs are really routine — sitting in front of a computer and cranking out the same application over and over, whether it is a report or some kind of quantitative analysis,” he said.
Professions that rely on creative thinking enjoy some protection (Mr. Ford’s older son is a graduate student studying biomedical engineering). So do jobs emphasizing empathy and interpersonal communication (his younger son wants to be a psychologist).
Even so, the ability to think creatively may not provide ultimate salvation. Mr. Ford said he was alarmed in May when Google’s AlphaGo software defeated a 19-year-old Chinese master at Go, considered the world’s most complicated board game.
“If you talk to the best Go players, even they can’t explain what they’re doing,” Mr. Ford said. “They’ll describe it as a ‘feeling.’ It’s moving into the realm of intuition. And yet a computer was able to prove that it can beat anyone in the world.”
In one, Albert Wenger, an influential tech investor, promoted the Basic Income Guarantee concept. Also known as Universal Basic Income, this sunny concept holds that a robot-driven economy may someday produce an unlimited bounty of cool stuff while simultaneously releasing us from the drudgery of old-fashioned labor, leaving our government-funded children to enjoy bountiful lives of leisure as interpretive dancers or practitioners of bee-sting therapy, as touted by Gwyneth Paltrow.
The idea is all the rage among Silicon Valley elites, who not only understand technology’s power, but who also love to believe that it will be used for good. In their vision of a post-A.I. world without traditional jobs, everyone will receive a minimum weekly or monthly stipend (welfare for all, basically).
Another talk by David Autor, an economist, argued that reports of the death of work are greatly exaggerated. Almost 50 years after the introduction of the A.T.M., for instance, more humans actually work as bank tellers than ever. The computers simply freed the humans from mind-numbing work like counting out 20-dollar bills to focus on more cognitively demanding tasks like “forging relationships with customers, solving problems and introducing them to new products like credit cards, loans and investments,” he said.
Computers, after all, are really good at some things and, for the moment, terrible at others. Even Anton intuits this. The other day I asked him if he thought robots were smarter or dumber than humans. “Sdumber,” he said after a long pause. Confused, I pushed him. “Smarter and dumber,” he explained with a cheeky smile.
He was joking. But he also happened to be right, according to Andrew McAfee, a management theorist at the Massachusetts Institute of Technology whom I interviewed a short while later.
Discussing another of Anton’s career aspirations — songwriter — Dr. McAfee said that computers were already smart enough to come up with a better melody than a lot of humans. “The things our ears find pleasant, we know the rules for that stuff,” he said. “However, I’m going to be really surprised when there is a digital lyricist out there, somebody who can put words to that music that will actually resonate with people and make them think something about the human condition.”
Not everyone, of course, is cut out to be a cyborg-Springsteen. I asked Dr. McAfee what other jobs may exist a decade from now.
“I think health coaches are going to be a big industry of the future,” he said. “Restaurants that have a very good hospitality staff are not about to go away, even though we have more options to order via tablet.
“People who are interested in working with their hands, they’re going to be fine,” he said. “The robot plumber is a long, long way away.”
A group of middle school students in full beekeeping gear examines one of the hives their school keeps in the woods nearby. “Ooh, there’s honey!” says one excitedly. “I see nectar!” says another.
These eager fifth and sixth graders from Birmingham Covington, a public magnet school in suburban Michigan focused on science and technology, are empowered to become self-directed learners through hands-on experiences in and outside their classroom.
Birmingham Covington’s student-centered philosophy is embedded throughout the curriculum, from third- and fourth-grade classes focused on teaching individual resourcefulness to an almost wholly independent capstone class in seventh and eighth grade called Thinkering Studio. Teachers at the school often say they’re “teaching kids to teach themselves” and rarely answer questions directly; instead they ask students to consider other sources of information first. Even the classrooms, with their spacious communal tables and movable walls, emphasize fluid group and peer-to-peer dynamics over teacher-led instruction.
The 650-student school offers grades 3 through 8 only and pairs grades together, following research that shows that mixing age groups accelerates learning. For more than a decade, Birmingham Covington’s students have ranked at or above the 95th percentile in overall performance for all Michigan elementary and middle schools.
By relentlessly focusing the classwork on student interest and independence, the educators at Birmingham Covington hope to transform students into active learners who will be successful throughout their lifetimes.
“When you get kids collaborating together, they become more resourceful and they see themselves as experts,” said Mark Morawski, who’s been the principal since 2013. “All of a sudden you’ve opened the ceiling to what kids are able to do, and they surprise you sometimes.”
Solving Real-World Problems: The Bee Project
George Lucas Educational Foundation
Birmingham Covington’s unique bee project, like much of the coursework prioritized at the school, was driven by student interest. After reading an article about the extinction of honeybees in their science literacy class, fifth- and sixth-grade students said they wanted to do something to help.
In the class, which combines inquiry-based science and English language arts (ELA), students build their research, literacy, and collaboration skills through small group projects aimed at effecting lasting change around real-world problems. Working on a range of activities—from building a website to managing a real beehive—students become more active and engaged learners, teachers say.
“Science literacy is teaching our kids to be curious about the world around them, with the problems they identify,” said ELA teacher Pauline Roberts, who co-teaches the class. “Even as students, they are learning how to become effective agents of change. It’s bigger than the science content—it’s about helping to develop the citizens that we hope our children become.”
George Lucas Educational Foundation
Throughout Birmingham Covington, both coursework and instruction push students to learn lifelong skills like independence and resourcefulness, which teachers encourage early on in the primary grades.
Third- and fourth-grade teacher Jessie Heckman says she empowers her students to become more resourceful by solving common problems with the support of their classmates. Instead of raising their hands when they have a question or encounter a hurdle, for example, Heckman’s students clip clothespins to their computers and fellow students circulate around to troubleshoot—a system she calls the help desk.
“Kids need to learn teamwork-based skills because every other class in any other subject that they have—third through eighth grade—requires them to work in different sized groups accomplishing different tasks,” Heckman explains.
Modeling Collaboration: Teacher Labs
George Lucas Educational Foundation
Students aren’t the only ones at Birmingham Covington improving their collaboration skills—teachers also identify as a “community of learners” who use planned, peer-to-peer feedback to help each other raise student outcomes throughout the school.
The school’s voluntary Teacher Labs—facilitated by an instructional coach and organized around a clear, written protocol—enable teachers to reflect on their craft with support from their peers. Through the labs, small groups of teachers observe each other’s classes and then offer constructive feedback around a stated objective.
“We’re really asking teachers to step outside of their comfort zones,” said Roberts, who serves as the lead facilitator in the labs. “We are creatures who live behind closed doors. To experience being in someone else’s classroom is really powerful.”
Increasing Independence for Older Learners
George Lucas Educational Foundation
As they near the end of their time at the school, Birmingham Covington seventh- and eighth-grade students are accustomed to self-reliance and problem-solving. They put these skills to use in Thinkering Studio, an elective class where they design their own independent learning projects, and Engage, a class focused on design thinking—a system of solving problems that follows the steps of inquiry, ideation, prototyping, and testing.
In Engage, teachers Roy McCloud and Mathew Brown guide students to work on various self-directed, team-oriented projects like designing a new sport for third graders or building a roller coaster. Their support and feedback direct students toward the right resources while encouraging them to dig deeper: Did students ask the right questions? Did they get the right information? Did they go to other groups for feedback?
In these culminating classes, as in the curriculum more generally, teachers act as guides rather than instructors, directing students toward helpful resources but ultimately insisting they solve their own problems.
This innovative, student-centered approach to learning—the bedrock of the school’s vision—takes the long view, helping students develop skills and interests they can continue to draw on after they leave the school. The school believes that this model better prepares students for real-world challenges, since modern workplaces are increasingly collaborative and involve complex, interdisciplinary problem solving.
“The ultimate questions we’re going to be asked by future employers is ‘Can this person work well in a team? Does this person have the ability to problem solve and critically think?’” said Morawski. “Because our students are more resourceful, they have more intrinsic motivation in the learning process and ultimately, are learning to be learners.”
In the era of artificial intelligence, robots and more, higher education is arguably more important than ever. Academic researchers are producing the ideas that lead to technology after technology. On the other hand, a challenge exists for higher education: how to produce graduates whose careers won’t be derailed by all of these advances. Now that robots can pick stocks, this isn’t just about factory jobs, but the positions that college graduates have long assumed were theirs.
Northeastern University is involved in both sides of that equation. Its academic programs in engineering, computer science and other fields are producing these breakthroughs. And its students — at an institution known for close ties to employers — of course want good careers. Joseph E. Aoun, Northeastern’s president, explores these issues in Robot-Proof: Higher Education in the Age of Artificial Intelligence (MIT Press). Aoun is a scholar in linguistics when he’s not focused on university administration. His book argues that changes in the college curriculum are needed to prepare students in this new era, but that doesn’t mean ignoring the humanities or general education.
Q: How worried should college graduates be about being replaced by technology? Is it likely that many jobs today held by those with college degrees will be replaced by robots or some form of technology?
A: Smart machines are getting smarter, and many of the jobs performed by people today are going to disappear. Some studies predict that half of all U.S. jobs are at risk within the next 20 years. And it’s not just blue-collar jobs; today intelligent machines are picking stocks, doing legal research and even writing news articles. Simply put, if a job can be automated in the future, it will be.
For higher education to meet this challenge — for us to make people robot-proof — we need to change. In my book, I offer a blueprint for how we can accomplish this. We will need to re-envision the curriculum, invest in experiential education and put lifelong learning at the heart of what we do. It will not be easy, but we have a responsibility — to the students of today and tomorrow — to change the way we do business.
Q: In an era of adaptive learning and online learning, should faculty members be worried about their jobs in the future?
A: We’re seeing educational content become commoditized. Therefore, the job of faculty members has to go beyond simply transmitting knowledge. More than ever, the priority for faculty is to create new knowledge and act as the catalysts to make their students robot-proof. The personal connection between student and teacher cannot be replaced by a machine.
But, like students, faculty members must act to meet the challenge of today’s world and should embrace the transformation of higher education that I describe in my book.
Q: What is “humanics,” and what are the three kinds of literacy that you want colleges to teach?
A: Humanics is the curriculum for a robot-proof education. It is based on the purposeful integration of technical literacies, such as coding and data analytics, with uniquely human literacies, such as creativity, entrepreneurship, ethics, cultural agility and the ability to work with others.
The key is integration. We need to break down the academic silos that separate historians from engineers.
When I talk to employers, they tell me that they would give their right arm for more systems thinkers — quarterbacks who can see across disciplines and analyze them in an integrated way. And every student should be culturally agile, able to communicate across boundaries, and to think ethically. By integrating technology, data and humanities, we can help students become robot-proof.
Q: In your vision for the future of higher education, is this about embedding these skills into existing programs or starting from scratch?
A: Higher education has the elements for a robot-proof model, but we need to be much more intentional about how we integrate them. As I’ve mentioned, our curriculum needs to change so that technical and human literacies are unified.
We need to deliver this curriculum in an experiential way. This means recognizing that learning happens beyond the classroom through co-ops and meaningful internships. I truly believe that experiential education is the most powerful way to learn.
Still, no one is going to be set for life. We need to commit to lifelong learning in a way that we haven’t done in the past. Universities have been engaged in lifelong learning for many years, but it is usually treated as a second-class operation. We need to bring lifelong learning to the core of our mission.
This will require us to rethink the way we deliver education, particularly to working professionals who don’t have time to be on campus every day. Online and hybrid delivery modes will be essential. We have to meet learners wherever they are — in their careers and around the world.
Credentials will need to be unbundled so that learners don’t have to commit to long-term degree programs. Stackable certificates, badges and boot camps will become the norm.
These changes won’t happen by themselves. Institutions should establish authentic partnerships with employers, redesign courses to fill gaps that employers actually need and connect them with students through co-ops and internships.
Q: How is Northeastern getting ready for these changes?
A: Northeastern has designed its academic plan to meet the challenges — and opportunities — presented by smart machines. Beyond the curricular changes required by humanics, and our leadership in experiential learning, we are building a multicampus network spanning different cities, regions and countries. Learners will be able to gain access to this network wherever they are and whenever it’s convenient for them.
Throughout its history, higher education has adapted to changes in the world. Knowing what we know about the revolution of smart machines, we have a responsibility to remain relevant and an opportunity to make our learners robot-proof.