1 00:00:00,080 --> 00:00:02,960 Speaker 1: Hi. This is due to the virus. I'm recording from home, 2 00:00:03,320 --> 00:00:08,960 Speaker 1: so you may notice a difference in audio quality on 3 00:00:09,080 --> 00:00:12,319 Speaker 1: this episode of News World. Doctor Michael Crowe is a 4 00:00:12,360 --> 00:00:16,600 Speaker 1: disruptor and innovative leader in the field of education. He 5 00:00:16,640 --> 00:00:20,600 Speaker 1: became the sixteenth president of Arizona State University in two 6 00:00:20,640 --> 00:00:25,119 Speaker 1: thousand and two and has spearheaded as US rapid and 7 00:00:25,239 --> 00:00:29,880 Speaker 1: groundbreaking transformative revolution into one of the world's best public 8 00:00:29,920 --> 00:00:35,600 Speaker 1: metropolitan research universities. Through doctor Crowe's leadership and vision, Arizona 9 00:00:35,640 --> 00:00:40,480 Speaker 1: State University has been named the number one most innovative 10 00:00:40,479 --> 00:00:43,120 Speaker 1: school in the nation by US News and World Report 11 00:00:43,520 --> 00:00:48,559 Speaker 1: for four years. ASU strives to make education accessible and 12 00:00:48,720 --> 00:00:53,880 Speaker 1: affordable to any qualified student. They currently enroll one hundred 13 00:00:53,920 --> 00:00:59,360 Speaker 1: and sixty five thousand learners on campus and online. In fact, 14 00:01:00,160 --> 00:01:03,560 Speaker 1: was Magazine named doctor Crowe number forty four out of 15 00:01:03,560 --> 00:01:07,920 Speaker 1: the world's fifty Greatest Leaders in two nineteen and said 16 00:01:08,000 --> 00:01:13,360 Speaker 1: quote Crowe has spent seventeen years reinventing party school ASU 17 00:01:13,920 --> 00:01:18,800 Speaker 1: as a higher and innovator, adding satellite campuses, online degrees, 18 00:01:19,120 --> 00:01:24,240 Speaker 1: and partnerships to educate Starbucks employees and Uber drivers. Enrollment 19 00:01:24,319 --> 00:01:27,160 Speaker 1: at ninety eight thousand is nearly twice that of two 20 00:01:27,200 --> 00:01:30,039 Speaker 1: thousand and two, and the student body is far more 21 00:01:30,080 --> 00:01:35,440 Speaker 1: economically and racially diverse. Expansion has not heard learning fifty 22 00:01:35,480 --> 00:01:38,920 Speaker 1: two percent of students graduated four years, up from twenty 23 00:01:39,000 --> 00:01:42,679 Speaker 1: eight percent in two thousand and two. He is the 24 00:01:42,800 --> 00:01:46,959 Speaker 1: author of two books, including his latest, The Fifth Wave, 25 00:01:47,480 --> 00:01:51,480 Speaker 1: The Evolution of American Higher Education. I'm pleased to welcome 26 00:01:51,520 --> 00:02:02,200 Speaker 1: my guest, doctor Michael Crowe, President of Arizona State University. 27 00:02:06,200 --> 00:02:09,680 Speaker 1: Doctor Crowe, as we begin our discussion, would you start 28 00:02:09,720 --> 00:02:12,519 Speaker 1: with what's not working in higher education right now and 29 00:02:12,680 --> 00:02:15,919 Speaker 1: one of the biggest issues we are facing. First, thanks 30 00:02:15,960 --> 00:02:17,840 Speaker 1: for the chances to get together and talk. I really 31 00:02:17,880 --> 00:02:21,799 Speaker 1: appreciate having an opportunity to speak with you. The issue 32 00:02:21,840 --> 00:02:24,760 Speaker 1: that's out there now is that we have become obsessed 33 00:02:24,800 --> 00:02:30,160 Speaker 1: with basically exclusion and scarcity as the drivers. The best 34 00:02:30,200 --> 00:02:32,760 Speaker 1: schools are those that have the most applications and let 35 00:02:32,760 --> 00:02:36,000 Speaker 1: in the fewest number of people. That creates a tiering 36 00:02:36,120 --> 00:02:40,000 Speaker 1: in the higher education system where everybody's striving to become 37 00:02:40,080 --> 00:02:43,800 Speaker 1: more and more exclusive, that their evolutionary pattern is exclusion. 38 00:02:44,480 --> 00:02:47,560 Speaker 1: That then creates a dynamic energy in all of the 39 00:02:47,639 --> 00:02:51,040 Speaker 1: public colleges. Hundreds and hundreds and hundreds of them where 40 00:02:51,080 --> 00:02:55,720 Speaker 1: they are unable or unwilling to innovate, and they become 41 00:02:55,800 --> 00:02:59,880 Speaker 1: trapped in a locked in bureaucratic model, and the lock 42 00:03:00,040 --> 00:03:03,120 Speaker 1: in bureaucratic model doesn't allow them to adjust and adapt. 43 00:03:03,160 --> 00:03:05,640 Speaker 1: And then we're beginning to see graduation rates go down, 44 00:03:06,320 --> 00:03:10,640 Speaker 1: we're seeing costs accelerating somewhat out of control. The system 45 00:03:10,720 --> 00:03:14,959 Speaker 1: then is cracking. Of the hundreds and hundreds of billions 46 00:03:15,000 --> 00:03:17,240 Speaker 1: of dollars that have been spent on pell grants since 47 00:03:17,360 --> 00:03:21,320 Speaker 1: nineteen eighty in the generous moment of American culture where 48 00:03:21,320 --> 00:03:23,240 Speaker 1: we're helping kids to be able to go to college 49 00:03:23,320 --> 00:03:26,359 Speaker 1: who can't necessarily afford it, more than half of those 50 00:03:26,400 --> 00:03:29,560 Speaker 1: students never graduate. They have no degreeing, or diploma or 51 00:03:29,600 --> 00:03:32,640 Speaker 1: certificate of any type. And it's a terrible, terrible outcome. 52 00:03:32,680 --> 00:03:36,760 Speaker 1: And so the functional constraints within higher education are a 53 00:03:36,880 --> 00:03:40,440 Speaker 1: system built on excellence through exclusion and then a lack 54 00:03:40,480 --> 00:03:43,400 Speaker 1: of innovation in the rest of the system, because if 55 00:03:43,400 --> 00:03:45,920 Speaker 1: the system believes that exclusion is the path to excellence, 56 00:03:46,240 --> 00:03:48,600 Speaker 1: then there's no way to innovate to do that. So 57 00:03:48,640 --> 00:03:51,560 Speaker 1: the system has become broken down with an inability to 58 00:03:51,600 --> 00:03:56,240 Speaker 1: fulfill its public mission, overly bureaucratized, driven in an agency 59 00:03:56,280 --> 00:03:58,760 Speaker 1: type model as opposed to an enterprise type model. Those 60 00:03:58,760 --> 00:04:00,520 Speaker 1: are the basic kinds of things I think that are 61 00:04:00,560 --> 00:04:03,520 Speaker 1: going on. Can you talk about the extraordinary debt, the 62 00:04:03,680 --> 00:04:06,760 Speaker 1: college graduate surfacing, and how do we change it them? 63 00:04:07,360 --> 00:04:12,000 Speaker 1: Right now, the US government allows people to take loans 64 00:04:12,200 --> 00:04:15,760 Speaker 1: under the name of student loans, but they don't equate 65 00:04:15,760 --> 00:04:21,080 Speaker 1: it or drive institutions and students to success from those investments. 66 00:04:21,480 --> 00:04:24,280 Speaker 1: So you can take a loan for a car as 67 00:04:24,320 --> 00:04:27,120 Speaker 1: a student loan, but there's no correlation with your completion 68 00:04:27,160 --> 00:04:30,400 Speaker 1: at the university. I'm deeply of the view that investments 69 00:04:30,400 --> 00:04:32,520 Speaker 1: by the federal government, either in the forms of grants 70 00:04:32,600 --> 00:04:36,719 Speaker 1: or loans, should be tied to the universities or colleges, 71 00:04:37,080 --> 00:04:39,880 Speaker 1: and both the student and the college should be responsible 72 00:04:39,960 --> 00:04:43,080 Speaker 1: for outcomes. And so we need more outcome oriented investment. 73 00:04:43,360 --> 00:04:44,960 Speaker 1: I'm going to give you this investment, but I'm not 74 00:04:45,000 --> 00:04:46,520 Speaker 1: just giving you this investment and then you get to 75 00:04:46,560 --> 00:04:48,320 Speaker 1: do whatever you want. You have to make progress, you 76 00:04:48,360 --> 00:04:51,159 Speaker 1: have to pursue your degree. And so right now what 77 00:04:51,240 --> 00:04:54,760 Speaker 1: we have is runaway debt, and it's highly problematic, and 78 00:04:54,800 --> 00:04:58,360 Speaker 1: we need a range of improvements. Did you become presidents 79 00:04:58,360 --> 00:05:01,920 Speaker 1: who knowing that you were going to take on and 80 00:05:02,080 --> 00:05:06,520 Speaker 1: fundamentally transform the education system. The answer is yes. I 81 00:05:06,640 --> 00:05:09,240 Speaker 1: left my role as deputy provost and a factor number 82 00:05:09,320 --> 00:05:12,400 Speaker 1: at Columbia University because I felt that the system, the 83 00:05:12,520 --> 00:05:15,400 Speaker 1: higher education system and much of the education system in 84 00:05:15,440 --> 00:05:18,320 Speaker 1: the US was failing, and it was failing because of 85 00:05:18,360 --> 00:05:23,039 Speaker 1: a lack of willingness to reconceptualize the design to return 86 00:05:23,080 --> 00:05:26,920 Speaker 1: to the roots of our egalitarian society and then build 87 00:05:26,960 --> 00:05:29,600 Speaker 1: institutions that can operate that way. So the answer is yes, 88 00:05:29,640 --> 00:05:31,279 Speaker 1: I came here hoping to be able to do some 89 00:05:31,320 --> 00:05:33,000 Speaker 1: of the things that we've been able to do. I'm 90 00:05:33,040 --> 00:05:38,040 Speaker 1: always fascinated by visionaries who are successful actually pulling it off. 91 00:05:38,440 --> 00:05:41,159 Speaker 1: What were your opening steps back when you first got there. 92 00:05:41,360 --> 00:05:45,359 Speaker 1: How did you get people to decide that they wanted 93 00:05:45,400 --> 00:05:48,880 Speaker 1: to go on your journey? I really focused on was 94 00:05:49,560 --> 00:05:53,359 Speaker 1: a belief that the faculty themselves, and the staff of 95 00:05:53,400 --> 00:05:56,520 Speaker 1: the university and the people supporting university wanted it to 96 00:05:56,560 --> 00:06:00,400 Speaker 1: be successful at social scale. That is, that the initial 97 00:06:00,440 --> 00:06:05,279 Speaker 1: conceptualization of the institution was to be a powerful driver 98 00:06:05,480 --> 00:06:08,520 Speaker 1: for the success of our democracy, but that they sort 99 00:06:08,520 --> 00:06:12,479 Speaker 1: of lost their way, and so the initial approach was 100 00:06:12,520 --> 00:06:15,440 Speaker 1: to come in and to try to inspire the culture 101 00:06:16,080 --> 00:06:20,359 Speaker 1: with a well defined purpose. And so we outlined a 102 00:06:20,480 --> 00:06:24,280 Speaker 1: purpose of the institution that ultimately evolved to be our charter. 103 00:06:24,400 --> 00:06:27,960 Speaker 1: So what I really went after was culture change, modernization 104 00:06:28,000 --> 00:06:31,039 Speaker 1: of the culture, empowerment of the culture. And that's not 105 00:06:31,120 --> 00:06:33,600 Speaker 1: very easy to do, but that's where I started. Could 106 00:06:33,600 --> 00:06:37,880 Speaker 1: you describe how you imagine the different audiences that you 107 00:06:37,920 --> 00:06:40,440 Speaker 1: had to carry with you in order for this to work, 108 00:06:40,960 --> 00:06:43,880 Speaker 1: I thought I needed to really say to the political 109 00:06:44,000 --> 00:06:47,000 Speaker 1: leadership of the state and to the other leaders of 110 00:06:47,040 --> 00:06:50,440 Speaker 1: the state, let us be entrepreneurial, let us stop being 111 00:06:50,480 --> 00:06:53,880 Speaker 1: a government agency. And that was relatively easy to do 112 00:06:54,000 --> 00:06:56,800 Speaker 1: here in Arizona because people listen to that kind of 113 00:06:56,839 --> 00:06:59,640 Speaker 1: logic and I got a lot of willingness to say, yeah, 114 00:06:59,640 --> 00:07:01,560 Speaker 1: I want you give that a shot. Just don't screw up. 115 00:07:01,920 --> 00:07:05,520 Speaker 1: A second group was the faculty itself, as I suggested, 116 00:07:05,560 --> 00:07:08,320 Speaker 1: which I felt had to be empowered. We've disempowered all 117 00:07:08,360 --> 00:07:12,280 Speaker 1: of our faculties by allowing them to become simple bureaucracies 118 00:07:12,280 --> 00:07:16,560 Speaker 1: that endless. They fight within systems of resource scarcity that 119 00:07:16,680 --> 00:07:19,840 Speaker 1: they contrived, and it's not necessary, and so that's a 120 00:07:19,880 --> 00:07:23,920 Speaker 1: second group. The third group was to convince the broader 121 00:07:24,040 --> 00:07:28,080 Speaker 1: community of potential learners that the institution was going to 122 00:07:28,120 --> 00:07:32,840 Speaker 1: be able to be adaptable to differences, different financial circumstances, 123 00:07:32,880 --> 00:07:37,160 Speaker 1: different learning circumstances, different interests, and that meant detangling the 124 00:07:37,280 --> 00:07:40,080 Speaker 1: rigidity of the design of the institution to that group. 125 00:07:40,360 --> 00:07:43,000 Speaker 1: And then we had to rethink our relationship. You know, 126 00:07:43,000 --> 00:07:47,400 Speaker 1: we've increased our fundraising by a factor of fifteen fifteen fold, 127 00:07:47,880 --> 00:07:49,520 Speaker 1: so we had to get people to believe in the 128 00:07:49,560 --> 00:07:52,480 Speaker 1: institution and to invest in the institution for its new purpose, 129 00:07:52,560 --> 00:07:57,440 Speaker 1: not just the edification of self aggrandizement by the naming 130 00:07:57,440 --> 00:08:00,920 Speaker 1: of things, but the actual investment in the institution itself. 131 00:08:01,440 --> 00:08:03,560 Speaker 1: And so all of those groups had to be approached 132 00:08:04,680 --> 00:08:06,240 Speaker 1: in a unique and different way. One of the more 133 00:08:06,240 --> 00:08:10,480 Speaker 1: complicated groups, of course, is other university leadership around the country, 134 00:08:10,880 --> 00:08:13,880 Speaker 1: some of whom shared heartily for us to be successful 135 00:08:13,920 --> 00:08:17,000 Speaker 1: in others who shared heartily for us not to be successful, 136 00:08:17,000 --> 00:08:19,440 Speaker 1: in the sense of the fact that our model is 137 00:08:19,440 --> 00:08:21,800 Speaker 1: pretty disruptive to the core set of assumptions that are 138 00:08:21,800 --> 00:08:24,640 Speaker 1: out there. So it's a complex set of groups that 139 00:08:24,720 --> 00:08:27,600 Speaker 1: one's working with to make something happen. I yes this 140 00:08:27,680 --> 00:08:31,920 Speaker 1: as a former assistant professor a relatively small state college. 141 00:08:32,080 --> 00:08:34,800 Speaker 1: If I'd been a faculty member when you arrived, how 142 00:08:34,840 --> 00:08:39,880 Speaker 1: would my life have been different over the last seventeen years. Well, 143 00:08:39,960 --> 00:08:43,640 Speaker 1: you would have found I think, more opportunity to work 144 00:08:43,760 --> 00:08:46,360 Speaker 1: in an environment where there's fewer barriers. You could have 145 00:08:46,400 --> 00:08:48,920 Speaker 1: connected with more people easily. You could have been easily 146 00:08:48,920 --> 00:08:52,040 Speaker 1: appointed to different schools. You would have been a part 147 00:08:52,040 --> 00:08:54,199 Speaker 1: of schools, not in every case, but in many cases 148 00:08:54,480 --> 00:08:57,599 Speaker 1: where you could set your own intellectual agenda, that is, 149 00:08:57,640 --> 00:09:01,320 Speaker 1: your own intellectual design, freed from just replicating things that 150 00:09:01,360 --> 00:09:04,520 Speaker 1: existed in other places. We would have delivered to you 151 00:09:05,280 --> 00:09:09,040 Speaker 1: unbelievable technology to allow you to figure out how to 152 00:09:09,080 --> 00:09:13,520 Speaker 1: project your own intellectual identity, which thousands of our Factor 153 00:09:13,520 --> 00:09:15,680 Speaker 1: members have been able to do. And so I hope 154 00:09:15,679 --> 00:09:17,920 Speaker 1: that if you'd been here as a Factor number, growing 155 00:09:18,000 --> 00:09:20,720 Speaker 1: up here academically, that you would have felt empowered to 156 00:09:20,840 --> 00:09:26,280 Speaker 1: have larger voice, larger intellectual flexibility, a larger impact, and 157 00:09:26,320 --> 00:09:28,599 Speaker 1: that those things would have motivated you. That's what I 158 00:09:28,640 --> 00:09:30,600 Speaker 1: hope would have happened to you here as a Factor member. 159 00:09:31,040 --> 00:09:34,560 Speaker 1: I was the coordinator of environmental studies in the very 160 00:09:34,600 --> 00:09:38,320 Speaker 1: early days, this was early nineteen seventies. One Earth Day 161 00:09:38,400 --> 00:09:41,280 Speaker 1: was big, and as such, I floated on top of 162 00:09:41,320 --> 00:09:44,920 Speaker 1: the various departments, so an effect had faculty loaned to me, 163 00:09:45,320 --> 00:09:48,360 Speaker 1: but I didn't own any turf. How did the departments 164 00:09:48,400 --> 00:09:51,680 Speaker 1: react to this kind of flexibility. Initially, I think there 165 00:09:51,800 --> 00:09:54,840 Speaker 1: was a great amount of skepticism coming from maybe a 166 00:09:54,920 --> 00:09:58,280 Speaker 1: quarter of the faculty and some of the departments. Maybe 167 00:09:58,320 --> 00:10:02,240 Speaker 1: another quarter of the faculty were who really cares, They 168 00:10:02,240 --> 00:10:03,440 Speaker 1: were just going to go out and do their thing, 169 00:10:03,440 --> 00:10:05,560 Speaker 1: and maybe half the fact that maybe half the units 170 00:10:05,920 --> 00:10:09,800 Speaker 1: were interested in the possibility of new trajectories. And so 171 00:10:09,920 --> 00:10:12,800 Speaker 1: your experience at environmental Studies is sort of an example. 172 00:10:12,840 --> 00:10:15,360 Speaker 1: So imagine that we had environmental studies type things, but 173 00:10:15,440 --> 00:10:18,080 Speaker 1: we had fifty of those or a hundred of those 174 00:10:18,120 --> 00:10:21,640 Speaker 1: going on in different areas, and we allowed that to happen. 175 00:10:21,640 --> 00:10:23,480 Speaker 1: And so what we didn't do was we didn't try 176 00:10:23,520 --> 00:10:26,880 Speaker 1: to bring every single person on. We brought along people 177 00:10:26,920 --> 00:10:29,040 Speaker 1: like yourself who were interested in doing some of these 178 00:10:29,040 --> 00:10:31,480 Speaker 1: new things, and then we empowered them, and then we 179 00:10:31,600 --> 00:10:33,760 Speaker 1: just let that start taking off on its own. So 180 00:10:33,840 --> 00:10:38,240 Speaker 1: we created a catalytic innovative environment where innovation became a 181 00:10:38,280 --> 00:10:42,000 Speaker 1: perpetual thing rather than an occasional thing. And that is 182 00:10:42,000 --> 00:10:44,760 Speaker 1: true in the intellectual design of the institution, also not 183 00:10:44,800 --> 00:10:48,480 Speaker 1: just in its structural design or its administrative design. Because 184 00:10:48,520 --> 00:10:51,280 Speaker 1: I've read your work and talk with you, this has 185 00:10:51,320 --> 00:10:55,440 Speaker 1: been a continuously evolving model. And what you might have 186 00:10:55,480 --> 00:10:57,520 Speaker 1: had in mind in two thousand and two or three 187 00:10:58,120 --> 00:11:02,120 Speaker 1: is not necessarily what you have in minded twenty because 188 00:11:02,200 --> 00:11:05,440 Speaker 1: your own experience and the world have both changed. What 189 00:11:05,480 --> 00:11:08,720 Speaker 1: would you say are the biggest changes in your understanding 190 00:11:09,400 --> 00:11:12,720 Speaker 1: of how to lead an institution like this and where 191 00:11:12,720 --> 00:11:15,880 Speaker 1: an institutional exists us to go well. I think that 192 00:11:16,080 --> 00:11:18,960 Speaker 1: the lessons that I've learned in this timeframe, one is 193 00:11:19,000 --> 00:11:24,040 Speaker 1: that this is extremely hard work because the scale of disciplines, 194 00:11:24,080 --> 00:11:28,079 Speaker 1: the scale of the professoriate around the world is so massive. 195 00:11:28,559 --> 00:11:32,400 Speaker 1: I think I underestimated the extent to which higher education 196 00:11:32,440 --> 00:11:36,040 Speaker 1: in the United States is valued. Because of scarcity, the 197 00:11:36,200 --> 00:11:39,680 Speaker 1: scarcer the seat to enter the freshman class than in theory, 198 00:11:39,720 --> 00:11:43,480 Speaker 1: the better of the university. Those are powerful forces. What 199 00:11:43,520 --> 00:11:45,360 Speaker 1: we've had to do is basically say that we're not 200 00:11:45,400 --> 00:11:48,680 Speaker 1: going to follow those traditional trajectories, which are kind of 201 00:11:48,720 --> 00:11:54,040 Speaker 1: like sideshow evolutionary environments as opposed to mainstream evolutionary environments. 202 00:11:54,200 --> 00:11:56,520 Speaker 1: And I think what I've learned along the way is 203 00:11:56,559 --> 00:12:00,600 Speaker 1: that this is an evolutionary process, or what we're trying 204 00:12:00,640 --> 00:12:03,600 Speaker 1: to do is to empower the institution to be able 205 00:12:03,640 --> 00:12:06,439 Speaker 1: to evolve. And I think the lesson I've learned is 206 00:12:06,480 --> 00:12:10,640 Speaker 1: that that's really really difficult, particularly when almost all of 207 00:12:10,720 --> 00:12:15,120 Speaker 1: the actors are coming in from institutions that are acculturated differently, 208 00:12:15,160 --> 00:12:18,160 Speaker 1: and so one of the biggest challenges has been trying 209 00:12:18,160 --> 00:12:21,080 Speaker 1: to figure out how to balance how we exist in 210 00:12:21,120 --> 00:12:24,800 Speaker 1: a broader set of higher education institutions while building this 211 00:12:24,920 --> 00:12:29,920 Speaker 1: unique institution that's required me to be more patient than 212 00:12:29,960 --> 00:12:32,920 Speaker 1: I might normally be and more flexible than I might 213 00:12:33,000 --> 00:12:36,040 Speaker 1: think we need to be. You had a remarkably open 214 00:12:36,800 --> 00:12:40,720 Speaker 1: admission policy for a school which was becoming an elite 215 00:12:40,720 --> 00:12:44,560 Speaker 1: research institution. You're taking a lot of students who would 216 00:12:44,600 --> 00:12:48,160 Speaker 1: not normally make it to those so called elite universities, 217 00:12:48,640 --> 00:12:52,680 Speaker 1: and you are transforming their lives in an asu kind 218 00:12:52,679 --> 00:12:56,440 Speaker 1: of unique model, both online and in person. Is that 219 00:12:56,520 --> 00:13:01,000 Speaker 1: a reasonable analysis? That's completely reasonable, and it is in 220 00:13:01,040 --> 00:13:02,920 Speaker 1: fact at the core of what we're trying to do 221 00:13:03,240 --> 00:13:07,240 Speaker 1: the notion that a research university can be populated only 222 00:13:07,280 --> 00:13:10,000 Speaker 1: by the aid plus students from high school, I think 223 00:13:10,120 --> 00:13:13,160 Speaker 1: is a socially delimiting design. Who would have thought that 224 00:13:13,200 --> 00:13:16,080 Speaker 1: your life's fate would be determined because you were a 225 00:13:16,120 --> 00:13:18,200 Speaker 1: screw off in the eleventh grade and ended up with 226 00:13:18,240 --> 00:13:20,600 Speaker 1: a B average coming out of high school. What we've 227 00:13:20,640 --> 00:13:23,320 Speaker 1: decided to do was to go back and say, what 228 00:13:23,559 --> 00:13:27,439 Speaker 1: is the admission requirement that allows you to be qualified 229 00:13:27,920 --> 00:13:30,640 Speaker 1: to attend the university. And so we went back and 230 00:13:30,679 --> 00:13:33,199 Speaker 1: looked at the admission requirements at the University of California 231 00:13:33,240 --> 00:13:38,199 Speaker 1: from nineteen fifty, which was then no tuition and required 232 00:13:38,200 --> 00:13:40,520 Speaker 1: a B average to be admitted, and you had to 233 00:13:40,520 --> 00:13:42,920 Speaker 1: take fifteen preparatory courses and get at least to be 234 00:13:43,040 --> 00:13:45,560 Speaker 1: So those are our admission requirements. Those are not the 235 00:13:45,559 --> 00:13:49,079 Speaker 1: admission requirements for most research universities, but they are for us. 236 00:13:49,080 --> 00:13:51,040 Speaker 1: And what we've found is that the environment that we've 237 00:13:51,040 --> 00:13:54,160 Speaker 1: produced from that is fantastic. What we've also found is 238 00:13:54,280 --> 00:13:57,440 Speaker 1: unbelievable achievement by not only our incoming A students, but 239 00:13:57,559 --> 00:14:00,439 Speaker 1: our B students. And then we have other ways to 240 00:14:00,440 --> 00:14:04,040 Speaker 1: come into the university transferring from community colleges. And then 241 00:14:04,040 --> 00:14:06,560 Speaker 1: we have another thing called our College Pathways program, where 242 00:14:06,600 --> 00:14:09,120 Speaker 1: you earn your way into the university by taking and 243 00:14:09,200 --> 00:14:13,680 Speaker 1: completing college level courses. Successful, you represent a state which 244 00:14:13,720 --> 00:14:20,320 Speaker 1: has a very complex demographic pattern between Native Americans, Hispanic Americans, 245 00:14:20,720 --> 00:14:25,080 Speaker 1: African Americans, Asian Americans, and White Americans. Was that there 246 00:14:25,120 --> 00:14:28,600 Speaker 1: from the beginning or did you gradually evolve into a 247 00:14:28,720 --> 00:14:33,200 Speaker 1: much more open an integrative approach. It typically wasn't there 248 00:14:33,240 --> 00:14:34,960 Speaker 1: to the extent that it needed to be. We were 249 00:14:35,000 --> 00:14:39,520 Speaker 1: not representative of ethnic diversity within the state's population at 250 00:14:39,520 --> 00:14:41,680 Speaker 1: the university in terms of our students. But the way 251 00:14:41,720 --> 00:14:44,200 Speaker 1: we approached that was we said that we needed to 252 00:14:44,240 --> 00:14:48,120 Speaker 1: be representative of the totality of the socioeconomic diversity. It 253 00:14:48,200 --> 00:14:50,800 Speaker 1: took us ten years to do that. And once we 254 00:14:50,920 --> 00:14:53,880 Speaker 1: did that, once our student body represented families of all 255 00:14:54,000 --> 00:14:58,400 Speaker 1: income levels, where we broke down financial barriers, eliminated financial barriers, 256 00:14:58,840 --> 00:15:02,600 Speaker 1: sought students out, found pathways to the university's programs, and 257 00:15:02,640 --> 00:15:05,320 Speaker 1: so forth. Once we did that, our ethnic diversity became 258 00:15:05,640 --> 00:15:08,920 Speaker 1: more diverse than the population itself. The institution is more 259 00:15:08,920 --> 00:15:12,360 Speaker 1: diverse today, both ethnically and socio economically than it's ever 260 00:15:12,400 --> 00:15:14,840 Speaker 1: been at any point in its history, and it is 261 00:15:15,120 --> 00:15:18,560 Speaker 1: as representative as the entire population, and it's never been 262 00:15:18,560 --> 00:15:22,280 Speaker 1: anywhere near that in its past. And even though you 263 00:15:22,320 --> 00:15:25,800 Speaker 1: are making it that accessible, you still rose in terms 264 00:15:25,840 --> 00:15:30,480 Speaker 1: of quality of research. You were becoming a major world 265 00:15:30,640 --> 00:15:34,360 Speaker 1: level research university while you're at the same time this 266 00:15:34,680 --> 00:15:41,080 Speaker 1: massive general population education. This is what everybody says is impossible. 267 00:15:41,160 --> 00:15:44,240 Speaker 1: The model that we were attempting to demonstrate that I 268 00:15:44,240 --> 00:15:46,600 Speaker 1: think we have demonstrated, is that you can be highly 269 00:15:46,640 --> 00:15:52,160 Speaker 1: accessible and highly excellent if one measurement of excellences research performance, 270 00:15:52,360 --> 00:15:54,280 Speaker 1: you can do those two things in the same institution. 271 00:15:54,320 --> 00:15:56,840 Speaker 1: And then you can add a third dimension, which is 272 00:15:56,960 --> 00:16:00,280 Speaker 1: the impact of the institution. So our research thing has 273 00:16:00,320 --> 00:16:02,280 Speaker 1: gone from one hundred million a year to almost seven 274 00:16:02,400 --> 00:16:05,000 Speaker 1: hundred million a year without a medical school. That's more 275 00:16:05,080 --> 00:16:08,200 Speaker 1: non medical research than Stanford or USC and more non 276 00:16:08,240 --> 00:16:11,320 Speaker 1: medical research at Harvard or Columbia, and more total research 277 00:16:11,360 --> 00:16:13,560 Speaker 1: than Carnegie Mellon or Caltech or any of these schools. 278 00:16:13,840 --> 00:16:17,120 Speaker 1: So we've built one of those inside the university, and 279 00:16:17,160 --> 00:16:19,960 Speaker 1: it demonstrates at the faculty and the environment can manage 280 00:16:20,000 --> 00:16:39,800 Speaker 1: those two things at the same time, How were you 281 00:16:39,840 --> 00:16:44,080 Speaker 1: able to fund that much financial assistance. One, once we 282 00:16:44,200 --> 00:16:47,640 Speaker 1: found the value of technology, and once we discovered that 283 00:16:47,680 --> 00:16:51,560 Speaker 1: technology could help us to improve our outcomes and lower 284 00:16:51,600 --> 00:16:55,040 Speaker 1: our cost we became much more efficient. So we've done 285 00:16:55,040 --> 00:16:57,520 Speaker 1: a good job I think of holding our costs down. 286 00:16:57,920 --> 00:16:59,320 Speaker 1: I think the second thing that we've been able to 287 00:16:59,360 --> 00:17:01,920 Speaker 1: operate from a scale, So scale has given us the 288 00:17:02,000 --> 00:17:04,640 Speaker 1: resources to be able to move forward and those things 289 00:17:04,640 --> 00:17:07,200 Speaker 1: that work. And then as we've moved into our online programs, 290 00:17:07,480 --> 00:17:12,359 Speaker 1: those programs are both very effective and very efficient, and 291 00:17:12,440 --> 00:17:14,560 Speaker 1: so that you know, the university is able to operate 292 00:17:14,960 --> 00:17:17,720 Speaker 1: financially in this new model. So those things coming together 293 00:17:17,800 --> 00:17:20,040 Speaker 1: helped us to be able to make this work. As 294 00:17:20,080 --> 00:17:22,440 Speaker 1: you look at all this, do you think this is 295 00:17:22,920 --> 00:17:26,480 Speaker 1: unique to the system you've build or do you think, 296 00:17:26,520 --> 00:17:29,680 Speaker 1: in fact a lot of other places could model off 297 00:17:29,720 --> 00:17:34,400 Speaker 1: of this and evolve into a very similar relationship with 298 00:17:34,480 --> 00:17:38,160 Speaker 1: their community. I think there are other places that can 299 00:17:38,200 --> 00:17:40,639 Speaker 1: do this. The argument in the Fifth Wave book is 300 00:17:40,680 --> 00:17:44,000 Speaker 1: that it's time for America's democracy to birth a new 301 00:17:44,119 --> 00:17:47,000 Speaker 1: kind of university. And these would be schools which are 302 00:17:47,560 --> 00:17:53,080 Speaker 1: research capable, scholarly intensive, scalable, diverse, and projectable. That is, 303 00:17:53,119 --> 00:17:56,199 Speaker 1: they can project outside of the physicality of the university itself. 304 00:17:56,600 --> 00:17:59,240 Speaker 1: I think that there is a need for these kinds 305 00:17:59,240 --> 00:18:02,560 Speaker 1: of universities, and there are several schools that are moving 306 00:18:02,560 --> 00:18:05,280 Speaker 1: in this direction and others that want to. What I'm 307 00:18:05,280 --> 00:18:08,080 Speaker 1: impressed with is not just what you do at the 308 00:18:08,119 --> 00:18:11,439 Speaker 1: college level, but you run a significant number of K 309 00:18:11,600 --> 00:18:15,880 Speaker 1: through twelve institutions though too right. We run eleven face 310 00:18:15,960 --> 00:18:19,840 Speaker 1: to face full immersing charter schools with thousands of students 311 00:18:19,920 --> 00:18:23,840 Speaker 1: K twelve in low income neighborhoods, and we also run 312 00:18:23,880 --> 00:18:28,280 Speaker 1: a digital preparatory academy which has high school embedded in 313 00:18:28,320 --> 00:18:32,680 Speaker 1: it also, which has about twenty two thousand learners. That's amazing. 314 00:18:33,040 --> 00:18:35,840 Speaker 1: What has that taught you about what the rest of 315 00:18:35,880 --> 00:18:38,879 Speaker 1: the country should be doing in terms of K through twelve, 316 00:18:38,880 --> 00:18:41,919 Speaker 1: which in many ways is a much bigger problem for 317 00:18:42,040 --> 00:18:46,119 Speaker 1: us than college and graduate school. It's a huge problem. 318 00:18:46,119 --> 00:18:48,679 Speaker 1: And the reason that we did the ASU Preparatory Academy 319 00:18:48,720 --> 00:18:51,480 Speaker 1: that's call our K twelve schools was we got sick 320 00:18:51,520 --> 00:18:54,160 Speaker 1: of people telling us that everyone couldn't graduate from high school, 321 00:18:54,160 --> 00:18:56,760 Speaker 1: and sick of all the silly excuses that they had 322 00:18:56,800 --> 00:18:59,359 Speaker 1: about this or that and so what we decided to 323 00:18:59,400 --> 00:19:02,240 Speaker 1: do was to take lessons that we'd learned and tools 324 00:19:02,280 --> 00:19:04,600 Speaker 1: that we'd built, and teams that we thought that we 325 00:19:04,640 --> 00:19:08,960 Speaker 1: can construct and design and deploy K through twelve schools 326 00:19:09,000 --> 00:19:13,960 Speaker 1: that could graduate everyone and move everyone into post secondary education, 327 00:19:14,000 --> 00:19:17,560 Speaker 1: either a technical school or a community college, or the 328 00:19:17,640 --> 00:19:19,480 Speaker 1: university or the military. And so we've been able to 329 00:19:19,480 --> 00:19:22,600 Speaker 1: do this, And the lessons are that you have to 330 00:19:22,640 --> 00:19:25,640 Speaker 1: set that as a goal. All assets have to move 331 00:19:25,640 --> 00:19:29,399 Speaker 1: towards that goal, no excuses. The use of technology is 332 00:19:29,480 --> 00:19:32,400 Speaker 1: very very important, the use of analytics is very very important. 333 00:19:32,400 --> 00:19:36,440 Speaker 1: The measurement of all things is really important. The culture 334 00:19:36,840 --> 00:19:39,440 Speaker 1: has to be one built around a presumption of success 335 00:19:39,560 --> 00:19:42,160 Speaker 1: rather than what we've seen in several cultures, the presumption 336 00:19:42,200 --> 00:19:45,320 Speaker 1: of failure. So these K twelve schools that we've operated 337 00:19:45,359 --> 00:19:49,200 Speaker 1: have become powerful learning environments for us. Also, I'll say 338 00:19:49,240 --> 00:19:50,879 Speaker 1: one of the thing relative to them, and that is 339 00:19:51,320 --> 00:19:54,399 Speaker 1: this gap between the universities and the colleges and the 340 00:19:54,520 --> 00:19:58,520 Speaker 1: K twelve. It's an unnecessary and net negative gap. We 341 00:19:58,560 --> 00:20:00,639 Speaker 1: should take every asset that we have at the university 342 00:20:00,680 --> 00:20:03,280 Speaker 1: and make it available to every high school. It doesn't 343 00:20:03,320 --> 00:20:07,280 Speaker 1: diminish what's available to the university students by making it 344 00:20:07,280 --> 00:20:10,080 Speaker 1: available to high school students and connecting and so this 345 00:20:10,160 --> 00:20:12,280 Speaker 1: is another thing that we're working to do. Can you 346 00:20:12,280 --> 00:20:13,760 Speaker 1: find in that sense that there are a lot of 347 00:20:14,480 --> 00:20:17,800 Speaker 1: K through twelve students who actually can do dramatically more 348 00:20:18,720 --> 00:20:21,520 Speaker 1: serious work than would normally occur in K through twelve? 349 00:20:22,000 --> 00:20:25,280 Speaker 1: We're low balling in every possible way in high school, 350 00:20:25,320 --> 00:20:29,600 Speaker 1: we're not individualizing education enough. In our issue digital Prep, 351 00:20:29,680 --> 00:20:33,159 Speaker 1: we now have two hundred college courses embedded into that 352 00:20:33,200 --> 00:20:36,560 Speaker 1: preparatory academy for high school students to take, and they're 353 00:20:36,560 --> 00:20:39,640 Speaker 1: doing very, very well in those. We've also found that 354 00:20:39,760 --> 00:20:43,520 Speaker 1: if you can individualize learning using our adaptive learning platforms, 355 00:20:43,600 --> 00:20:45,680 Speaker 1: using other kinds of platforms, and you can really find 356 00:20:45,720 --> 00:20:48,360 Speaker 1: the pathway to learning for high school students rather than 357 00:20:48,640 --> 00:20:51,920 Speaker 1: just trying to force them through these kinds of industrial factories. 358 00:20:52,359 --> 00:20:56,360 Speaker 1: Those things just aren't going to work except in neighborhoods 359 00:20:56,400 --> 00:20:59,480 Speaker 1: of very extreme resources, of which there's very few of those. 360 00:21:00,080 --> 00:21:02,600 Speaker 1: So what we do find is that learning potential is 361 00:21:02,680 --> 00:21:05,440 Speaker 1: much broader than people seem to realize in the structures 362 00:21:05,480 --> 00:21:08,560 Speaker 1: that we have. Is there a capacity limit to your 363 00:21:09,240 --> 00:21:13,200 Speaker 1: academy or could people sign up from all over the country. 364 00:21:13,640 --> 00:21:16,080 Speaker 1: There's no capacity limit to the A issue prep digital. 365 00:21:16,160 --> 00:21:19,040 Speaker 1: That's a scalable capacity. We have students right now from 366 00:21:19,080 --> 00:21:23,960 Speaker 1: all over the country, and we have programs expanding in Utah, California, 367 00:21:24,200 --> 00:21:27,439 Speaker 1: discussions about programs expanding in Georgia and in Illinois and 368 00:21:27,520 --> 00:21:30,320 Speaker 1: other places. Would you take to sub minute and talk 369 00:21:30,320 --> 00:21:34,159 Speaker 1: about when you wrote the Fifth Wave the Evolution of 370 00:21:34,200 --> 00:21:37,280 Speaker 1: American higher Education? Why did you pick the title the 371 00:21:37,320 --> 00:21:40,000 Speaker 1: fifth Wave. It has to do with the fact that 372 00:21:40,040 --> 00:21:45,000 Speaker 1: there have been four distinct waves of American higher education evolution. 373 00:21:45,080 --> 00:21:48,960 Speaker 1: The first wave where the colonial colleges Harvard, Princeton, Columbia, 374 00:21:49,119 --> 00:21:51,600 Speaker 1: Penn ten or so. These existed at the time of 375 00:21:51,600 --> 00:21:55,080 Speaker 1: the Revolution, and they were basically extrapolations of the British model, 376 00:21:55,359 --> 00:21:58,800 Speaker 1: but not organized into universities. They couldn't be built in 377 00:21:58,840 --> 00:22:01,199 Speaker 1: the South for whatever, and they all were in the 378 00:22:01,240 --> 00:22:04,760 Speaker 1: mid Atlantic and in the Northeast, and so Georgia, South Carolina, 379 00:22:04,760 --> 00:22:07,960 Speaker 1: and North Carolina. Then right after the Revolution got universities going, 380 00:22:08,000 --> 00:22:11,399 Speaker 1: and then Jefferson got University Virginia going right in the 381 00:22:11,480 --> 00:22:14,920 Speaker 1: first quarter of the nineteenth century. That's the second wave, 382 00:22:15,040 --> 00:22:17,320 Speaker 1: was the beginning of the emergence of the public college, 383 00:22:17,359 --> 00:22:20,160 Speaker 1: the idea of the public college, which in the twentieth 384 00:22:20,160 --> 00:22:23,760 Speaker 1: century added community colleges and state colleges. The third wave 385 00:22:23,880 --> 00:22:29,400 Speaker 1: was the product of America's diversification, growth, industrialization, and agricultural 386 00:22:29,880 --> 00:22:33,399 Speaker 1: The fourth wave was the American idea of merging the 387 00:22:33,480 --> 00:22:37,320 Speaker 1: German Technical School with the British College. Hopkins was the first. 388 00:22:37,359 --> 00:22:40,480 Speaker 1: Stanford in Chicago were the second and third. They became 389 00:22:40,600 --> 00:22:44,399 Speaker 1: philanthropically back to prototypes of the American Research University that 390 00:22:44,560 --> 00:22:48,919 Speaker 1: was the fourth wave. Many many other schools like Harbor Michigan, California. 391 00:22:49,000 --> 00:22:52,800 Speaker 1: Ultimately even ASHU became fourth Wave schools. And the suggestion 392 00:22:52,840 --> 00:22:55,800 Speaker 1: of the fifth wave is that evolution didn't stop with 393 00:22:55,840 --> 00:22:59,840 Speaker 1: the emergence of the American Research University. America is still evolving, 394 00:23:00,119 --> 00:23:03,720 Speaker 1: growing and expanding and diversifying and becoming more and more complex. 395 00:23:03,760 --> 00:23:06,600 Speaker 1: So new models are needed. So the fifth wave is 396 00:23:06,640 --> 00:23:13,120 Speaker 1: our articulation of the idea for the new model. This adaptable, expandable, innovative, 397 00:23:13,160 --> 00:23:18,960 Speaker 1: technologically driven, socially projectable new kind of university and ASSUE 398 00:23:19,200 --> 00:23:23,040 Speaker 1: is the prototype. I was really impressed at the very 399 00:23:23,119 --> 00:23:27,200 Speaker 1: high thro the COVID pandemic and people closing down, etc. 400 00:23:27,720 --> 00:23:31,040 Speaker 1: Would you just say one minute and explain the scale 401 00:23:31,240 --> 00:23:34,399 Speaker 1: of it you used and the fact that you didn't 402 00:23:34,400 --> 00:23:37,919 Speaker 1: miss a stride. So many places closed down or they 403 00:23:37,960 --> 00:23:41,800 Speaker 1: had very ineffective online learning but nobody knew what they 404 00:23:41,800 --> 00:23:46,119 Speaker 1: were doing. Explain how ASU dealt with the COVID shutdown. 405 00:23:46,840 --> 00:23:49,560 Speaker 1: When we realized that we couldn't come back to complete 406 00:23:49,560 --> 00:23:53,480 Speaker 1: the spring semester in March, we were able to successfully 407 00:23:53,480 --> 00:23:55,919 Speaker 1: in forty eight hours convert to a new mode that 408 00:23:55,960 --> 00:23:58,240 Speaker 1: we actually now have as a new modality for the 409 00:23:58,280 --> 00:24:02,560 Speaker 1: university called ASU SYNC, which is shorthand for synchrons, which 410 00:24:02,600 --> 00:24:06,879 Speaker 1: means Zoom enabled Technological projection of the university. We trained 411 00:24:07,040 --> 00:24:10,159 Speaker 1: in Zoom technology thousands of Factor members who had already 412 00:24:10,160 --> 00:24:13,919 Speaker 1: been trained in digital technology. Also, we were able to 413 00:24:13,960 --> 00:24:17,639 Speaker 1: move eleven thousand courses into ZOOM mode, and by the 414 00:24:17,760 --> 00:24:20,280 Speaker 1: end of the semester we had used about three hundred 415 00:24:20,320 --> 00:24:24,200 Speaker 1: million minutes of ZOOM with as many as ninety thousand 416 00:24:24,240 --> 00:24:26,440 Speaker 1: people tied in at one time. In fact, Zoom told 417 00:24:26,480 --> 00:24:29,080 Speaker 1: us that we were one of the five most significant 418 00:24:29,119 --> 00:24:32,639 Speaker 1: consumers of their technology on the planet. We did this 419 00:24:32,720 --> 00:24:35,520 Speaker 1: also for our K twelve charter schools. They didn't miss 420 00:24:35,560 --> 00:24:38,720 Speaker 1: a day. We had the highest completion rate for the 421 00:24:38,760 --> 00:24:41,000 Speaker 1: spring semester that we've ever had. We had about seventy 422 00:24:41,040 --> 00:24:43,879 Speaker 1: five percent of the students that we surveyed said that 423 00:24:43,920 --> 00:24:47,399 Speaker 1: their learning experience were as good or better. Twenty percent 424 00:24:47,480 --> 00:24:50,000 Speaker 1: said about the same, and only about five percent said 425 00:24:50,000 --> 00:24:51,480 Speaker 1: that it was worse. So we felt that that was 426 00:24:51,520 --> 00:24:56,080 Speaker 1: a successful outcome. We learned a lot. For the fall semester, 427 00:24:56,680 --> 00:24:59,040 Speaker 1: we will now have three modalities that were operating in 428 00:24:59,200 --> 00:25:02,359 Speaker 1: assue full immersion on campus if we're able to reassemble, 429 00:25:02,840 --> 00:25:06,200 Speaker 1: assue synchronous immersion, which is what we did with Zoom, 430 00:25:06,200 --> 00:25:09,639 Speaker 1: and then assue Digital immersion, which is online. We have 431 00:25:09,720 --> 00:25:12,639 Speaker 1: record enrollment for our summer school, sixty thousand students in 432 00:25:12,680 --> 00:25:15,520 Speaker 1: summer school right now, in our sync mode, in our 433 00:25:15,520 --> 00:25:17,800 Speaker 1: digital mode. I really give it to our faculty and 434 00:25:17,840 --> 00:25:21,040 Speaker 1: to our IT team. They were able to completely morph 435 00:25:21,080 --> 00:25:23,640 Speaker 1: the institution. Now this is not just a casual thing. 436 00:25:23,680 --> 00:25:25,919 Speaker 1: You should see the work products that came out of 437 00:25:25,920 --> 00:25:30,400 Speaker 1: our design school and our music school. The musical performances 438 00:25:30,440 --> 00:25:34,159 Speaker 1: that our students were able to carry out using Zoom technology, 439 00:25:34,200 --> 00:25:37,520 Speaker 1: they are astounding. We were very happy that we were 440 00:25:37,520 --> 00:25:40,560 Speaker 1: able to make this adjustment so quickly. If you think 441 00:25:40,600 --> 00:25:45,720 Speaker 1: about your own trajectory over the last eighteen years and 442 00:25:45,880 --> 00:25:48,679 Speaker 1: you then look out, say fifty years, we will be 443 00:25:49,760 --> 00:25:53,360 Speaker 1: his shault of education. Be like at that point. By 444 00:25:53,440 --> 00:25:55,560 Speaker 1: then we will have to have moved to a mode 445 00:25:55,760 --> 00:25:59,760 Speaker 1: of learning being a lifetime thing, not a thing early 446 00:26:00,040 --> 00:26:03,280 Speaker 1: your life. Before age twenty five, you will come in 447 00:26:03,359 --> 00:26:07,399 Speaker 1: and out of various types of institutions. Some colleges and 448 00:26:07,520 --> 00:26:11,280 Speaker 1: universities will stay isolated. Everyone will have to be finishing 449 00:26:11,320 --> 00:26:14,080 Speaker 1: high school but mastering high school. Everyone will have to 450 00:26:14,080 --> 00:26:16,800 Speaker 1: become involved in education throughout their life just to team 451 00:26:16,880 --> 00:26:19,359 Speaker 1: up with the rate of technological advance the rate of 452 00:26:19,440 --> 00:26:22,000 Speaker 1: changes in the economy. It's all going to be within 453 00:26:22,160 --> 00:26:25,680 Speaker 1: single generations, even fractions of generations. And so I think 454 00:26:25,680 --> 00:26:28,760 Speaker 1: it's going to be about speed and adaptability as well 455 00:26:28,800 --> 00:26:31,680 Speaker 1: as how do we find a way fifty years from 456 00:26:31,680 --> 00:26:35,120 Speaker 1: now to teach in ways in which we can still 457 00:26:35,600 --> 00:26:40,000 Speaker 1: capture the totality of history as it's expanding and evolving 458 00:26:40,280 --> 00:26:43,679 Speaker 1: at orders of magnitude with more complexity than it had 459 00:26:43,720 --> 00:26:46,119 Speaker 1: in the past. And so we're going to need more 460 00:26:46,480 --> 00:26:50,240 Speaker 1: innovations and different models of learning and teaching. And I 461 00:26:50,280 --> 00:27:08,200 Speaker 1: think it's a hugely important time. I want to switch 462 00:27:08,240 --> 00:27:12,040 Speaker 1: gears and shift to another topic, which will be one 463 00:27:12,080 --> 00:27:15,520 Speaker 1: of the two or three, if not the biggest questions 464 00:27:15,560 --> 00:27:18,480 Speaker 1: the next fifty years, and that is China. And I 465 00:27:18,520 --> 00:27:21,520 Speaker 1: know you've done a lot of thinking about it, and 466 00:27:21,680 --> 00:27:24,000 Speaker 1: you've done a lot of work in China. How do 467 00:27:24,080 --> 00:27:29,520 Speaker 1: you think about China and what sort of patterns do 468 00:27:29,600 --> 00:27:32,200 Speaker 1: you try to study or to work off of as 469 00:27:32,200 --> 00:27:35,840 Speaker 1: you look at China. China obviously is an immensely complicated 470 00:27:35,880 --> 00:27:39,040 Speaker 1: place that is coming up on its fiftieth year of 471 00:27:39,080 --> 00:27:42,080 Speaker 1: an open relationship with the United States from President Nixon's 472 00:27:42,160 --> 00:27:46,280 Speaker 1: opening of China, and its fortieth year of evolving into 473 00:27:46,400 --> 00:27:51,520 Speaker 1: a form of modern economy. And in both cases, the 474 00:27:51,560 --> 00:27:55,119 Speaker 1: accelerated rate of dynamic change given where they were before 475 00:27:55,160 --> 00:27:59,199 Speaker 1: that is so astounding it's hard to describe. China is 476 00:27:59,320 --> 00:28:03,240 Speaker 1: a place in which they are approaching things from a 477 00:28:03,280 --> 00:28:06,840 Speaker 1: different value system than we have, but it is a 478 00:28:06,880 --> 00:28:11,040 Speaker 1: scaled economy and a scale culture that I'm hopeful that 479 00:28:11,280 --> 00:28:14,399 Speaker 1: we can find ways to successfully work with China in 480 00:28:14,400 --> 00:28:18,760 Speaker 1: a way where we avoid global superpower conflict and that 481 00:28:18,840 --> 00:28:21,520 Speaker 1: we find some way to work together. What is your 482 00:28:21,520 --> 00:28:25,439 Speaker 1: experience been like working in China and trying to have 483 00:28:25,520 --> 00:28:30,560 Speaker 1: a relationship with Chinese higher education generally positive. We have 484 00:28:30,600 --> 00:28:34,280 Speaker 1: a big program in Hainan Province with thousands of students 485 00:28:34,280 --> 00:28:37,560 Speaker 1: working with Hainan University. We operate a program with our 486 00:28:37,560 --> 00:28:41,600 Speaker 1: business school in Shanghai with the Shanghai National Accounting Institute. 487 00:28:41,600 --> 00:28:46,400 Speaker 1: We built an American Culture Center at Sichuan University. Former 488 00:28:46,440 --> 00:28:49,680 Speaker 1: Ambassador John Huntsman Jr. Asked me to see if I 489 00:28:49,720 --> 00:28:53,560 Speaker 1: could facilitate the building of American culture centers in Chinese universities. 490 00:28:53,560 --> 00:28:55,760 Speaker 1: We got thirteen of them going, including the one that 491 00:28:55,800 --> 00:28:58,960 Speaker 1: we started, and we had to negotiate with the university's 492 00:28:59,000 --> 00:29:00,880 Speaker 1: party officials. They had to work our way through the 493 00:29:00,880 --> 00:29:02,840 Speaker 1: provincial governments, we had to work our way through the 494 00:29:02,920 --> 00:29:06,640 Speaker 1: national government. I have a lot of interactive experience just 495 00:29:06,640 --> 00:29:10,600 Speaker 1: getting programs started, launching them, working them, making them successful. 496 00:29:10,600 --> 00:29:14,920 Speaker 1: And what I find is that they are significant admirers 497 00:29:14,960 --> 00:29:18,760 Speaker 1: of the American higher education system, of American universities, of 498 00:29:18,760 --> 00:29:22,800 Speaker 1: American research universities. To be a scholar in China is 499 00:29:23,360 --> 00:29:27,040 Speaker 1: socially more status oriented than it is in the United 500 00:29:27,040 --> 00:29:29,400 Speaker 1: States by a long shot. I think that there is 501 00:29:29,440 --> 00:29:33,320 Speaker 1: a strong and potentially positive set of relationships that can 502 00:29:33,360 --> 00:29:36,520 Speaker 1: be derived within the academic structure. If you can set 503 00:29:36,600 --> 00:29:39,840 Speaker 1: up a set of rules that are fair. Can Chinese 504 00:29:39,840 --> 00:29:43,480 Speaker 1: students come to a issue. Yes, we had last year 505 00:29:43,480 --> 00:29:47,600 Speaker 1: about thirty four hundred students from China at a issue. 506 00:29:47,640 --> 00:29:49,959 Speaker 1: We won't have that many this year because of COVID 507 00:29:50,040 --> 00:29:53,320 Speaker 1: and travel restrictions and complexities and so forth and so on. 508 00:29:53,720 --> 00:29:56,520 Speaker 1: Do you try to also afford an opportunity for your 509 00:29:56,600 --> 00:30:01,120 Speaker 1: students to go to China? Yes, we have programs in sustainability, 510 00:30:01,720 --> 00:30:05,400 Speaker 1: programs in other areas culture, language, Yes we do. I 511 00:30:05,560 --> 00:30:09,160 Speaker 1: wrote a book last year on Trump versus China, focusing 512 00:30:09,160 --> 00:30:12,360 Speaker 1: on the Jesi and Being and the Chinese communist dictatorship. 513 00:30:12,880 --> 00:30:15,480 Speaker 1: But I put an entire chapter in there that said, 514 00:30:15,520 --> 00:30:18,480 Speaker 1: it's not China's fault. And I said, you know, you 515 00:30:18,520 --> 00:30:21,560 Speaker 1: can't blame the Chinese. For example, if the Baltimore school 516 00:30:21,560 --> 00:30:24,520 Speaker 1: systems have entire buildings where nobody's been able to pass 517 00:30:24,520 --> 00:30:27,880 Speaker 1: an exam, that is not China's fault. But you're trying 518 00:30:27,880 --> 00:30:30,520 Speaker 1: to accomplish that. One of the great drivers in the 519 00:30:30,560 --> 00:30:32,920 Speaker 1: next twenty years is going to be that the current 520 00:30:33,040 --> 00:30:38,160 Speaker 1: US education system is simply incapable of preparing young people 521 00:30:38,160 --> 00:30:41,200 Speaker 1: to compete with China. That the quality of work, the 522 00:30:41,360 --> 00:30:45,360 Speaker 1: seriousness of work that the Chinese are engaged in, is 523 00:30:45,440 --> 00:30:49,360 Speaker 1: just dramatically different then we are currently used to, and 524 00:30:49,440 --> 00:30:53,200 Speaker 1: that just from a national security standpoint, education is going 525 00:30:53,240 --> 00:30:57,240 Speaker 1: to become a national security issue. What do you think 526 00:30:57,240 --> 00:30:59,840 Speaker 1: we need to do so that the next generation of 527 00:31:00,160 --> 00:31:05,560 Speaker 1: Americans who'll be capable of competing with their counterparts in 528 00:31:05,680 --> 00:31:10,520 Speaker 1: China in the US, for whatever reason, we don't realize 529 00:31:10,600 --> 00:31:14,280 Speaker 1: the nature of the competition. We're like the wealthy family, 530 00:31:14,760 --> 00:31:17,520 Speaker 1: three or four generations into the family that can't any longer. 531 00:31:17,560 --> 00:31:20,920 Speaker 1: Remember how they got wealthy In China, they're the scrappers. 532 00:31:21,040 --> 00:31:24,440 Speaker 1: They're the first generation and the second generation getting wealthy. 533 00:31:24,600 --> 00:31:26,920 Speaker 1: We don't realize the nature of the competition. The competition 534 00:31:27,120 --> 00:31:31,520 Speaker 1: is who is the most industrious, Who is the most innovative, 535 00:31:31,520 --> 00:31:34,360 Speaker 1: Who is the hardest working, Who is the most creative? 536 00:31:34,400 --> 00:31:38,080 Speaker 1: Who can produce the most engineers or the most creative 537 00:31:38,200 --> 00:31:41,560 Speaker 1: digital artists? And it's all those things. We don't realize 538 00:31:41,640 --> 00:31:45,440 Speaker 1: that the world's economy, led by China, has become a 539 00:31:45,480 --> 00:31:50,400 Speaker 1: true competitor. We're not currently conditioned to have a long 540 00:31:50,520 --> 00:31:55,200 Speaker 1: term competitor. Correct. We're delusional to think that somehow such 541 00:31:55,240 --> 00:31:58,040 Speaker 1: a competitor is a net negative. Such a competitor is 542 00:31:58,040 --> 00:32:00,680 Speaker 1: a net positive if the rules are fair, because it 543 00:32:00,720 --> 00:32:04,320 Speaker 1: will stimulate rates of innovation and rates of creativity and 544 00:32:04,600 --> 00:32:07,120 Speaker 1: rates of expression and rates of economic growth that will 545 00:32:07,160 --> 00:32:10,640 Speaker 1: benefit everyone, and we don't see it that way. I 546 00:32:10,680 --> 00:32:14,680 Speaker 1: think that's why what you're doing with the K through 547 00:32:14,720 --> 00:32:18,440 Speaker 1: twelve students in the ASU system is really important as 548 00:32:18,440 --> 00:32:21,280 Speaker 1: a potential prototype for a lot of other people to 549 00:32:21,400 --> 00:32:25,440 Speaker 1: learn from and to see to what extent they could 550 00:32:25,520 --> 00:32:29,400 Speaker 1: develop similar patterns. If you're a brilliant physicist or mathematician 551 00:32:29,760 --> 00:32:32,280 Speaker 1: at thirteen, you ought to learn as much as you 552 00:32:32,320 --> 00:32:35,480 Speaker 1: can learn, yes, because you will probably drop out. I've 553 00:32:35,520 --> 00:32:38,800 Speaker 1: been to probably thirty or forty different Chinese universities, maybe 554 00:32:38,840 --> 00:32:41,800 Speaker 1: more than that, and many many laboratories and dozens and 555 00:32:41,840 --> 00:32:44,959 Speaker 1: dozens of companies over there. We decided in two thousand 556 00:32:44,960 --> 00:32:47,880 Speaker 1: and nine to quit listening to the rhetoric that nobody 557 00:32:47,920 --> 00:32:50,160 Speaker 1: in the United States is interested in being an engineer. Well, 558 00:32:50,200 --> 00:32:52,840 Speaker 1: that's false. Many people are, they're just not interested in 559 00:32:52,880 --> 00:32:55,720 Speaker 1: the way our engineering schools work. So in two thousand 560 00:32:55,800 --> 00:32:58,480 Speaker 1: and nine we had six thousand students in engineering, and 561 00:32:58,520 --> 00:33:01,320 Speaker 1: we had a weed out culture. Eight percent of the 562 00:33:01,360 --> 00:33:03,480 Speaker 1: freshman made it to the end of the freshman year 563 00:33:03,480 --> 00:33:06,360 Speaker 1: and the rest thirty two percent we're obliterated along the way. 564 00:33:06,680 --> 00:33:09,280 Speaker 1: So in the ten years since then, we've grown engineering 565 00:33:09,360 --> 00:33:12,600 Speaker 1: from six thousand students to twenty five thousand students here 566 00:33:12,640 --> 00:33:16,920 Speaker 1: at a issue, seventeen thousand on campus and eight online. 567 00:33:17,400 --> 00:33:20,520 Speaker 1: We've taken freshman retention from sixty eight percent to ninety percent, 568 00:33:20,760 --> 00:33:24,080 Speaker 1: and we've done this with huge numbers of new kids 569 00:33:24,080 --> 00:33:26,800 Speaker 1: coming in from every family background imaginable who want to 570 00:33:26,840 --> 00:33:30,400 Speaker 1: be engineers. Now, to do that, we had to eliminate 571 00:33:30,480 --> 00:33:34,160 Speaker 1: all eleven of our engineering departments and their names Industrial engineering, 572 00:33:34,160 --> 00:33:38,640 Speaker 1: civil Engineering. We've created Grand Challenge engineering programs, we built 573 00:33:38,680 --> 00:33:42,160 Speaker 1: technology platform. So the notion was, how does America compete 574 00:33:42,240 --> 00:33:46,160 Speaker 1: with China relative to the production of young talent as engineers, 575 00:33:46,160 --> 00:33:48,120 Speaker 1: just as an example, and the answer is, you do 576 00:33:48,200 --> 00:33:51,719 Speaker 1: not sit back and wind. You must innovate, you must adapt, 577 00:33:51,760 --> 00:33:54,080 Speaker 1: you must move forward in new ways. And we've been 578 00:33:54,080 --> 00:33:56,920 Speaker 1: able to do that. So we're producing several times the 579 00:33:57,000 --> 00:34:00,520 Speaker 1: number of engineering graduates that we were, and any times 580 00:34:00,560 --> 00:34:04,520 Speaker 1: the number of engineering graduates that are women are minority 581 00:34:04,600 --> 00:34:07,760 Speaker 1: students than we were because we decided to do that. 582 00:34:07,840 --> 00:34:09,600 Speaker 1: And that's going to be the only way that we're 583 00:34:09,600 --> 00:34:11,960 Speaker 1: going to be able to be competitive, not just in engineering. 584 00:34:12,160 --> 00:34:15,280 Speaker 1: It's going to be by scaling and adapting and diversifying 585 00:34:15,480 --> 00:34:18,000 Speaker 1: and taking advantage of the totality of our culture, which 586 00:34:18,120 --> 00:34:19,919 Speaker 1: we haven't been able to do yet. By the way, 587 00:34:20,239 --> 00:34:22,040 Speaker 1: since it's going to come back three hundred and thirty 588 00:34:22,040 --> 00:34:23,920 Speaker 1: to three hundred and thirty five million people, this is 589 00:34:23,920 --> 00:34:27,160 Speaker 1: a massive country growing to four hundred, four hundred and 590 00:34:27,160 --> 00:34:31,359 Speaker 1: fifty million before you're twenty seventy timeframe. Unless we start 591 00:34:31,440 --> 00:34:35,040 Speaker 1: building hundreds and hundreds and hundreds of new colleges and universities, 592 00:34:35,080 --> 00:34:37,080 Speaker 1: which we're not going to do, we're going to need 593 00:34:37,120 --> 00:34:39,839 Speaker 1: a new, scalable model and that's what we're figuring out 594 00:34:39,880 --> 00:34:43,000 Speaker 1: how to do. Also, that's great. Listen, thank you for 595 00:34:43,080 --> 00:34:46,920 Speaker 1: doing this. I appreciate you taking the time. You appreciate it. 596 00:34:47,040 --> 00:34:48,919 Speaker 1: Maybe we'll get some more ideas that people will send 597 00:34:48,960 --> 00:34:57,760 Speaker 1: us their ideas out there, and now I'll answer your questions. 598 00:35:00,640 --> 00:35:03,560 Speaker 1: Run and from Georgia Rights. Thank you for all you 599 00:35:03,560 --> 00:35:07,080 Speaker 1: do to keep conservatives educated. Can you please explain why 600 00:35:07,160 --> 00:35:09,800 Speaker 1: requiring people to wear masks with the safety of others, 601 00:35:10,320 --> 00:35:14,560 Speaker 1: especially our seniors, is not against the constitution. It's my 602 00:35:14,760 --> 00:35:18,239 Speaker 1: constitutional rights, seems to the loudest rallying cry for those 603 00:35:18,280 --> 00:35:21,600 Speaker 1: who do not want to wear masks. Well, there are 604 00:35:22,000 --> 00:35:26,680 Speaker 1: provisions in the Constitution for suspending things that usually relate 605 00:35:26,760 --> 00:35:30,719 Speaker 1: to insurrection or civil war. But you can make an 606 00:35:30,760 --> 00:35:33,600 Speaker 1: argument if it's a large enough public health crisis that 607 00:35:33,719 --> 00:35:37,760 Speaker 1: the community at large has the right to impose rules. 608 00:35:37,800 --> 00:35:41,680 Speaker 1: There was a very famous case many years ago involving 609 00:35:41,719 --> 00:35:45,960 Speaker 1: a woman called Typhoid Mary, who had a very unusual 610 00:35:46,000 --> 00:35:49,960 Speaker 1: case of typhoid and they couldn't cure it, and wherever 611 00:35:50,000 --> 00:35:52,560 Speaker 1: she went she was spreading typhoid, which was killing people 612 00:35:52,840 --> 00:35:55,960 Speaker 1: given the medicine of her generation. And so ultimately she 613 00:35:56,160 --> 00:35:58,799 Speaker 1: was in fact locked into a house untol She could 614 00:35:58,840 --> 00:36:01,160 Speaker 1: not leave the house, and they brought her food and 615 00:36:01,200 --> 00:36:03,919 Speaker 1: they tried to get her things, but they were very 616 00:36:03,960 --> 00:36:09,279 Speaker 1: strict because wherever she went she infected people. Now, historically 617 00:36:09,640 --> 00:36:12,239 Speaker 1: we don't require random people who are not sick to 618 00:36:12,320 --> 00:36:16,480 Speaker 1: wear masks, and historically we don't quarantine the healthy, we 619 00:36:16,640 --> 00:36:20,600 Speaker 1: quarantine the sick. So I have to say, as a historian. 620 00:36:21,000 --> 00:36:23,840 Speaker 1: I have been totally confused by how screwed up this is. 621 00:36:24,400 --> 00:36:27,520 Speaker 1: I don't understand it. I can't understand the numbers. My 622 00:36:27,719 --> 00:36:31,680 Speaker 1: younger daughter, Jackie Cushman, is a certified financial analyst and 623 00:36:31,840 --> 00:36:34,080 Speaker 1: used to run a billion dollars a year budget for 624 00:36:34,520 --> 00:36:37,600 Speaker 1: an AT and T Ballsouth joint venture, and she said 625 00:36:37,680 --> 00:36:41,759 Speaker 1: she has never seen data as totally impossible to understand 626 00:36:42,160 --> 00:36:45,760 Speaker 1: as the data we get about the spirates. So whether 627 00:36:45,840 --> 00:36:49,359 Speaker 1: that is pure incompetence or whether it's deliberate, I don't 628 00:36:49,400 --> 00:36:52,640 Speaker 1: know that. I am very uncomfortable, and I'm saying this 629 00:36:52,719 --> 00:36:54,960 Speaker 1: to you from Italy, where we went through a ten 630 00:36:55,000 --> 00:36:59,919 Speaker 1: week absolute lockdown with only grocery stores, pharmacies and guest 631 00:37:00,080 --> 00:37:03,680 Speaker 1: stations open, with a thirty two hundred dollars fine if 632 00:37:03,680 --> 00:37:07,240 Speaker 1: you're in the street without a legitimate reason with everything closed. 633 00:37:07,719 --> 00:37:11,719 Speaker 1: But now virtually everybody's out on the street again, and 634 00:37:11,840 --> 00:37:14,840 Speaker 1: the museums are open, the restaurants are open. About forty 635 00:37:14,880 --> 00:37:17,239 Speaker 1: percent of people wear masks, but it's really much more 636 00:37:17,239 --> 00:37:20,640 Speaker 1: optional they used to be. And frankly, the idea, for example, 637 00:37:20,719 --> 00:37:24,319 Speaker 1: that the governor of California just closed the zoos is 638 00:37:24,400 --> 00:37:28,520 Speaker 1: utterly stupid. I mean, if anything, you want public spaces 639 00:37:28,560 --> 00:37:31,239 Speaker 1: for little kids to be able to go out. I mean, 640 00:37:31,480 --> 00:37:34,279 Speaker 1: these little kids are going crazy locked up, particularly if 641 00:37:34,280 --> 00:37:36,319 Speaker 1: you're in a poor neighborhood and you're in a very 642 00:37:36,360 --> 00:37:40,080 Speaker 1: small apartment and you have no space and no opportunity, 643 00:37:40,320 --> 00:37:43,399 Speaker 1: and the idiot governor who's very wealthy, sitting up there 644 00:37:43,440 --> 00:37:47,160 Speaker 1: in the Sacramento with his nice winery and Napa Valley, 645 00:37:47,719 --> 00:37:50,360 Speaker 1: decides that you can't even go to the zoo. And 646 00:37:50,480 --> 00:37:53,200 Speaker 1: the idea of a four year old having a problem 647 00:37:53,239 --> 00:37:56,040 Speaker 1: out in the open at the San Diego Zoo or 648 00:37:56,040 --> 00:37:58,200 Speaker 1: the San Francisco Zoo or the Griffin part of zoo 649 00:37:58,200 --> 00:38:01,600 Speaker 1: in Los Angeles, this is just madness. And we seem 650 00:38:01,680 --> 00:38:04,080 Speaker 1: to be, I think, caught up in an age of 651 00:38:04,600 --> 00:38:09,320 Speaker 1: panic and fantasy, sort of resembling waves in the Middle Ages, 652 00:38:09,560 --> 00:38:12,040 Speaker 1: when people would go from town to town beating on themselves. 653 00:38:12,080 --> 00:38:14,600 Speaker 1: They're called the flagilante. And we now have a whole 654 00:38:14,600 --> 00:38:17,640 Speaker 1: series of politicians who should sign up for the flagilanti, 655 00:38:17,719 --> 00:38:20,600 Speaker 1: except they're determined to beat on us. If the governor 656 00:38:20,640 --> 00:38:23,640 Speaker 1: California wants to beat on himself, that's fine, but I 657 00:38:23,680 --> 00:38:25,880 Speaker 1: don't want him to beat on me or other people, 658 00:38:26,239 --> 00:38:27,760 Speaker 1: and that's where we are. I think of the dumber 659 00:38:27,800 --> 00:38:31,239 Speaker 1: politicians you're watching as the Flagilanti. Look it up, see 660 00:38:31,280 --> 00:38:33,080 Speaker 1: what it was like in the Middle Ages, and you'll 661 00:38:33,160 --> 00:38:36,280 Speaker 1: understand exactly what we're living through. It is a totally 662 00:38:36,360 --> 00:38:39,960 Speaker 1: mindless anti science experience, has nothing to do with public 663 00:38:39,960 --> 00:38:45,160 Speaker 1: health and everything to do with the political ideological insanity. 664 00:38:46,480 --> 00:38:49,399 Speaker 1: Thank you to my guests, structor Michael Crowe. You can 665 00:38:49,480 --> 00:38:53,400 Speaker 1: read more about Arizona State University and his book The 666 00:38:53,480 --> 00:38:58,040 Speaker 1: Fifth Wave on our show page at newtsworld dot com. 667 00:38:58,280 --> 00:39:01,760 Speaker 1: Newts World is produced by Gangwis who sixty and iHeartMedia. 668 00:39:02,840 --> 00:39:06,239 Speaker 1: Our executive producer is Debbie Myers and our producer is 669 00:39:06,280 --> 00:39:09,640 Speaker 1: Guernsey Slump. The artwork for the show was created by 670 00:39:09,640 --> 00:39:14,200 Speaker 1: Steve Penley. Special thanks to the team at Gingwish three sixty. 671 00:39:14,200 --> 00:39:17,200 Speaker 1: Please email me with your questions at Gingwish three sixty 672 00:39:17,400 --> 00:39:21,640 Speaker 1: dot com slash questions. I'll answer them in future episodes. 673 00:39:22,480 --> 00:39:25,200 Speaker 1: If you've been enjoying news World, I hope you'll go 674 00:39:25,239 --> 00:39:28,440 Speaker 1: to Apple Podcasts and both rate us with five stars 675 00:39:28,840 --> 00:39:31,560 Speaker 1: and give us a review so others can learn what 676 00:39:31,600 --> 00:39:35,360 Speaker 1: it's all about. I'm new Gingwish. This is new told,