Ben Nelson, Minerva Project | CUBE Conversation March 2020
(upbeat electronic music) >> Announcer: From the CUBE Studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hey welcome back already, Jeff Frick here with theCUBE. We're in our Palo Alto studios today having a Cube conversation. You know nobody can really travel, conference seasons are all kind of on hold, or going to digital, so there's a lot of interesting stuff going on. But thankfully we've got the capability to invite some of our community in. We're really interested in hearing from some of the leaders that we have in the community about what's going on in their world and you know, what they're telling their people. And what can we learn. So we're excited to have a good friend of mine who went to business school together, God it seems like it was over 20 years ago. He's Ben Nelson, the chairman and CEO of the Minerva Project. Ben great to see you and welcome. >> Thanks so much, great to be here. >> Yeah. So, you have always been kind of a trailblazer, I mean way back in the day I think that you've only had like two jobs in all this time, you know. (laughing) You know kind of changing the world of digital photography. >> Yeah three or four, three or four. >> Three or four. >> Yeah. (laughing) >> And after a really long run, you made this move to start something new in education. >> Yeah. >> Education's a big hairy monster. There's a lot of angles. And you started the Minerva Project, and I can't believe I looked before we got on today that that was nine years ago. So tell us about the Minerva Project, how you got started, kind of what's the mission, and then we'll get into it. >> Yeah so Minerva exists and it sounds somewhat lofty for an organization, but we do exist to serve this mission which is to nurture critical wisdom for the sake of the world. We think a wiser world is a better world. We think that really wisdom is the core goal of education and we decided that higher education is the area that is both most in need of transformation and also one that we're most capable of influencing. And so we set about actually creating our own university demonstrating an example of what a university can do. And then, helping tool other institutions to follow in those footsteps. >> Yeah it's a really interesting take. There's often times we're told if a time traveler came here from 1776, right, and walked around and would look at the way we drive, look at the way we communicate, look at the way we transact business. All these things would be so new and novel inventive. If you walked them over to Stanford or Harvard he'd feel right at home, you know. >> Yeah. >> So the education is still kind of locked in to this way that it's always been. So for you to kind of take a new approach, I mean I guess it did take actually starting your own school to be able to execute and leverage some of these new methods and tools, versus trying to move what is a pretty, you know, kind of hard to move institutional base. >> Yeah absolutely. And it's also you know, because we have to remember that universities as an institution started before the printing press. So if you go and talk to pretty much any university president, and ask him or her what is the mission of a university, generically, forget you know your university or what have you. They'll say, "Well generically universities exist "to create and disseminate knowledge." That's why they've been founded 1000 years ago and that's why they exist today. And you know, creation of knowledge I think there's a good argument to be made that the research mission of a university is important for the advancement of society and that it needs to be supported. Certainly directly in that regard. So much of you know the innovation that we benefit from today came from university labs and research. That's an important factor. But the dissemination of knowledge is a bit of an odd thing. I guess before the printing press, sure, yeah, I mean kind of hard to disseminate knowledge except for if you gather a whole bunch of people in a room and talk at them. Maybe they scribble notes very quickly. Well that's a decent way of disseminating knowledge because they can you know, one mouth and many pieces of paper and then they can read it later or study it. I guess that makes sense it's somewhat efficient. But after the printing press and certainly after the internet, the concept of a university needing to disseminate knowledge as it's core mission seems kind of crazy. It can't be that that's what universities are for. But effectively they're still structured in that way. And I don't think any university president when actually challenged in that way would argue the point. They would say, "Oh yes of course, "well what we really need to do is teach people "how to use knowledge or evaluate knowledge "or make sure that we communicate effectively "or understand how that knowledge can interact "with other pieces of knowledge and you know, "create new ways of thinking, et cetera." But that isn't the dissemination of knowledge. And that isn't the way that universities are actually structured. >> But it's funny that you say that. Even before you get to whether they should be still trying to disseminate knowledge, they're not even using the new tools now that they had the printing press that come along. (laughing) To disseminate knowledge. You know it's really interesting as we're going through this time right now with the coronavirus and a lot of things that were kind of traditional are moving in to digital and this new tool called Zoom which never fails to amaze me how many people are having their first Zoom call ever, right. >> Right, right. >> Ever, right I mean how long ago was Skype, how long ago was WebX. These tools have been around for a really interesting time, a long time. But now, you know, kind of a critical mass of technology that anybody can flip their laptop up, or their phone and go. You know you guys just in terms of a pure kind of tools play you know took advantage of the things that are available here in 2020 and 2019. So I wonder if you can share with the folks that don't have experience kind of using remote learning and remote access, you know what are some of the lessons you learned what are some of the best practice. What should people kind of think about what's capable and the things you can do with digital tools that you can't do when you're trying to get everybody in a classroom together at the same time. >> Right, so I think first and foremost, there's kind of the nuts and bolts. The basics. Right. So one of the things that you know, education environments have always been able to get away with is when you've got everyone in a room and you know, you're kind of cutting them off from the rest of life, you sometimes don't realize that you're talking into thin air, right. That maybe speaking students are not listening, they're not absorbing what you're saying. But you know they have to show up, at least in K 12, and higher ed they don't bother showing up and so the 15 people who do wind up showing up from the 100 person lecture I guess you do you say, "Oh at least they're listening." But the reality is that when you're online, you're competing with everything. You're competing with the next tab, you're competing with just not showing up. It's so much easier to just, you know, open up some game or something, some YouTube video. And so you've got to make this engaging. And making it engaging isn't about being entertaining. And that's actually one of the major problems of assessing who is a good professor and who isn't. You know people look at student reviews, right. They say, "Oh, you know such and such "was such a great professor." But when you actually track student reviews of professors to learning outcomes, there's a slight negative correlation. Right which means that the better the students believe the professor is actually that is an indicator that they've learned a little bit less. >> Right. >> That's really bizarre, intuitively. But when you actually think about it deeply, you realize that entertaining students isn't the job of a professor. It's actually teaching them. It's actually getting them to think through the material. And learning is hard, it's not easy. So you have to bring some of those techniques of engagement into online. And you can do that but it requires a lot of interactivity. So that's aspect number one. But really the much bigger idea isn't that you just do what you do offline and then put it online, right. Technology isn't at it's best when it mimics what you do without it, right. Technology didn't build an exact replica of the horse. >> Right, right. >> And said you know, ride that. Right. It doesn't make any sense, right. Instead, what technology should do is things you cannot do offline. One of the things that worked 300, 400 years ago is that you could study a subject matter in full. One professor, one teacher could teach you pretty much everything that people needed to know in a given field. In fact, the fields themselves were collapsed, right. Science, mathematics, you know, ethics were all put under this idea called philosophy. Philosophy was everything. Right. And so there's really we didn't have much to learn. But today, because we have so much information and so many tools to be able to process through that information, what happens is that education gets atomized. And you know you go through a college education you're you know, being taught by 25, 30 some different professors. But one professor really has no idea what you've learned previously. Even when they're in a 101, 102 sequence. How many times have we been in kind of the 102 class where in the first month all the professor did was repeat what happened in the 101 class because they didn't feel comfortable that you actually learned it. Or if the professor before them taught it the way they wanted it taught. >> Right, right. >> And that's because education is done offline with no data. If you actually have education in a data rich environment you can actually design cross cutting curriculum. You can shift the professor's role from disseminating knowledge to actually having students or mentoring students and guiding them in how to apply that knowledge. And so, once you have institutional views of curricula, you can use technology to deliver an institution wide education. Not by teaching you a way of thinking or a set of content, but giving you a set of tools that broadly any professor can agree on, and then apply them to whatever context professors want to present. And that creates a much more holistic education, and it's one that only can be done using technology. >> Ben that was a mouthful. You got into all kinds of good stuff there. (laughing) So let's break some of it down. That was fascinating. I mean I think you know the asynchronous versus synchronous opportunity if you will, to as you said kind of atomize education to the creation of content right the distribution of content and more importantly the consumption of content. Because why should I have to change my day if the person I want to hear is only available next Tuesday at noon pacific, right. It makes no sense anymore. And the long tail opportunities for this content that lives out there forever is pretty interesting. But it's a very interesting you know, kind of point of view if you assume that all the knowledge is already out there and now your job as an educator is to help train people to critically think about what's out there. How do I incorporate that, what are the things I should be thinking about when I'm integrating that into my decision. It's a very different way. And as you said, everything is an alt tab away. Literally the whole world is an alt tab away from that webinar. (laughing) Very good stuff. >> Exactly right. >> And the other piece I want to get your take on is really kind of lifetime learning. And I didn't know that you guys were you know kind of applying some of your principles oh my goodness where you actually measure effectiveness of teaching. And measure how long people hang out in the class. And measure whether it's good or not. But you're applying this really now in helping companies do digital transformation. And I think, you know, coming at that approach from a shift in thinking is really a different approach. I was just looking at an Andy Jassy keynote from a couple years ago yesterday, and he talked about the A number one thing in digital transformation is a buy in at senior leadership and a top down priority. So you know, what do you see in some of your engagements, how are you applying some of this principles to help people think about change differently? >> Yeah you know I think recessions are a very telling time for corporate learning. Right. And if you notice, what is the first budget that gets cut when economic times get tough it's the you know employee learning and development. Right. Those budgets just get decimated. Right off the bat. And that's primarily because employees don't see much value out of it, and employers don't really measure the impact of those things. No one's saying, "Oh my God, 'this is such an incredible program. "My employees were able to do x before this program, 'and then they were able to do one point five x afterward." You know, if people had that kind of training program in the traditional system, then they would be multi-billion dollar behemoths in the space. And there really are not. And that's because again, most of education is done in content land. And it's usually very expensive, and the results are not very good. Instead, if you actually think about learning tools as opposed to information, and then applying those tools in your core business, all of a sudden you can actually see transformation. And so when we do executive education programs as an example, you know we ask our learner how much of what you've learned can you apply to your job tomorrow? Right. And we see an overwhelming majority of our students are saying something like more than 80 to 90% of what they learned they can apply immediately. >> Wow, that's impressive. >> That's useful. >> Right. And why do you think is it just kind of institutional stuck in the mud? Is it the wrong incentive structure? I mean why you're talking about very simple stuff right. >> Yeah. >> Why don't you actually measure outcomes and adjust accordingly, you know. Use a data centric methodology to improve things over time, you know. Use digital tools in way that they can get you more than you can do in a physical space. I mean is it just inertia? I mean I really think this is a watershed moment because now everybody is forced into using these tools. Right. And there's a lot of, you know kind of psychology around habits and habit forming. >> Right, exactly. >> And if you do something for a certain amount of time every single day you know it becomes a habit. And if these stay in place orders which in my mind I think we are going to be doing it for a while, kind of change people's behavior and the way they use technology to interact with other folks. You know it could be a real, you know, kind of turning point in everyone's opening eyes that digital is different than physical. It's not exactly the same. There are some things in physical that are just better, but, you know there's a whole realm of things in digital that you cannot do when you're bound by time, location, and space. >> Exactly right. That's right. And I think the reason that it's so difficult to shift the system is because the training of people in the system, and I'm speaking specifically about higher education, really has nothing to do with education. Think about how a university professor becomes a university professor. How do they show up in a classroom? They get a bachelor's degree, where they don't learn anything about how to teach or how the mind works. They get a PhD, in which they learn nothing about how to teach or how the mind works. They do a post-doctoral research fellowship where they research in their field, right. Then they become an associate professor or an assistant professor and non-tenure, right. And in order to get tenure they've got seven years in order to make it on a publishing track, because how they teach is irrelevant. And they don't get any formal training on how to teach or how the brain works, right. Then they become you know, a junior tenured professor. A full tenured professor, right. And then maybe they become an administrator. Right. And so if you think about it, all they know is their field. And I've had conversations with academics which are to me befuddling, in the sense that you know they'll say, "Oh, you know, "everyone should learn how to think "like a historian. "Oh no everybody should learn to think "like an economist. "Everyone should learn to think "like a physicist." And you kind of unpack it, you say, "Well why?" And it's, "Oh well because we deploy pools "that nobody else deploys and it's so great." Right. And so it's OK give me an example. I had this conversation with a university president who was a historian. And that president said, "Look, you know, "what we do is we look at you know, "primary source materials hundreds of years ago "and learn to interpret what they say to us "and ascertain truth from that. "That's an incredibly important skill." I said, "OK, so what you're saying is you "examine evidence and evaluate that evidence "to see what it can actually tell you. "Isn't that what every single scientist, "social scientist, no matter what field they're in does? "Isn't that what a physicist does? "Isn't that what an economist does? "Isn't that what a psychologist does? "Right, isn't that what an English professor does?" Right actually thinking about I remember I took a mini module when I was an undergraduate with Rebecca Bushnell who is a literature professor, eventually became the dean of the college of arts and science at the University of Pennsylvania. And, we basically looked at a text written 400 years before, and tried to figure out what parts of the text were written by the author, what were transcription errors, and what was censored. That's looking at evidence. >> Right, right. >> This was an English professor. It's the exact same process. But because people know about it in their field and they think the only way to get to it is through their field, as opposed to teaching the tool, it can't get out of their own way. >> Yeah. >> And that's why I think education is so stuck right now. >> Yeah. That's crazy. And you know we're all victims of kind of the context in which we look through everything, and the lens in which we apply to everything that we see which is you know one of my things that there isn't really a kind of a truth it's what is your interpretation. And that's really you know, what is in your head. But I want to close it out. And Ben I really appreciate your time today. It's been a great conversation. And really kind of take it back to your mission which is around critical thinking. You know there's a lot of conversation lately, you know, this kind of rush to STEM as the thing. And there's certainly a lot of great job opportunities coming out of school if you're a data scientist and you can write in R. But what I think is a more interesting conversation is to get out of your own way. You know is the critical thinking as you know the AI and RPA and all these other things kind of take over more of these tasks and really this higher order need for people to think through complex problems. >> Right. >> I mean like we're going through today. Thank God people who are qualified and can see ahead and saw an exponential curve potential just really causing serious damage when we're still to head into this thing to take aggressive action. Dr. Sarah Cody here locally here you know, telling the San Jose Sharks you can't play. You know that is not an easy decision. But thankfully they did and they had the data. But really just your kind of thoughts on why you prioritize on critical thinking and you know can what you see with your students when they get out into the real world applying critical thinking not necessarily equations. >> Yeah look I think there's no better demonstration of how important critical thinking is than when you look at the kinds of advances that STEM is trying to make. Right. What happens any time we get a demonstration of the power of artificial intelligence, right. You remember a few years ago when Microsoft released it's AI engine. Right. Smartest engineers working on it, and all of a sudden it you know spat back misogynist racist types of perspectives. Why? The training set was garbage. It wasn't that the technology was bad, actually it was amazing technology. But the people who were writing it couldn't think. They didn't know how to think two steps ahead and say, "Wait a second, if we train "the information, kind of the random comments "we see on the internet, you know, "who bothers to write anonymomys comments?" Trolls, right. And so if we train it on a troll data set, it'll become an artificial intelligent troll. Right. It doesn't take a lot of critical thinking to actually realize that, but it takes some. >> Right. >> Right. And when you focus merely on those technical skills what you wind up doing is wasting it. Right. And so if you ground people in critical thinking, and we see this with our graduate. You know we graduated our very first class in May. And we had what as far as I can tell is the best graduate school placement of any graduating class in the country. As far as the quality of offers they got. We had a 94% placement rate in jobs in graduate positions. Which I think is tied with the very best ivy league institutions. And the kinds of jobs that the students are getting and six months into them the kinds of reviews that their employers are giving us looks nothing like a recent undergraduate. These are oftentimes types of jobs that are unavailable to recent undergraduates. And you know we had one student recently actually just told me, fresh in my mind, even though he was the youngest person in his company, when the CEO of his company has a strategic question he comes to him. And when he's in a meeting, full of PhDs, everybody looks to him to run the meeting and set the agenda. He's six months out of undergrad, right. And you know I can give you story after story after story about each and every one of these graduate. And it's not because they were born with it. They actually had a wise education. >> Yeah. Ben well that's a great story. And we'll leave it there. Congratulations again to you and the team at Minerva and what you've built and your first graduating class. Great accomplishment and really great to catch up, it's been too long. And when this is all over we'll have to get together and have an adult beverage. >> That would be wonderful. >> All right Ben thanks a lot. >> Thanks so much Jeff. >> All right. You've been watching theCUBE. Great check in with Ben Nelson. Thanks for watching. Everybody stay safe and we'll see you next time. (upbeat electronic music)
SUMMARY :
all around the world, this is a CUBE conversation. Ben great to see you and welcome. You know kind of changing the world Yeah. you made this move to start something new in education. And you started the Minerva Project, And so we set about actually creating he'd feel right at home, you know. you know, kind of hard to move institutional base. And it's also you know, because we have to remember But it's funny that you say that. and the things you can do with digital tools So one of the things that you know, But really the much bigger idea isn't that you just And you know you go through a college education And so, once you have institutional views of curricula, And as you said, everything is an alt tab away. And I didn't know that you guys it's the you know employee learning and development. And why do you think is it just kind of And there's a lot of, you know kind of psychology in digital that you cannot do when you're bound And that president said, "Look, you know, It's the exact same process. And that's really you know, what is in your head. and you know can what you see with your students "we see on the internet, you know, And you know I can give you story after story after story Congratulations again to you and the team Everybody stay safe and we'll see you next time.
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