1 00:00:02,920 --> 00:00:07,280 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,560 --> 00:00:12,920 Speaker 2: This is Bloomberg Business Wait inside from the reporters and 3 00:00:13,080 --> 00:00:16,640 Speaker 2: editors who bring you America's most trusted business magazine, plus 4 00:00:16,720 --> 00:00:20,880 Speaker 2: global business, finance and tech news. The Bloomberg Business Week 5 00:00:20,920 --> 00:00:26,200 Speaker 2: podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio. 6 00:00:27,360 --> 00:00:30,560 Speaker 1: Math performance of USED teenagers you might be surprised. You're 7 00:00:30,560 --> 00:00:33,000 Speaker 1: not gonna be surprised. The math performance of US teenagers 8 00:00:33,040 --> 00:00:36,839 Speaker 1: math is bad. Has sharply declined since twenty eighteen, scores 9 00:00:36,880 --> 00:00:39,880 Speaker 1: lower than twenty years ago, American students continuing to trail 10 00:00:39,920 --> 00:00:43,440 Speaker 1: global competitors. There were some results that were A key 11 00:00:43,479 --> 00:00:46,519 Speaker 1: international exam was released I think late last year, and 12 00:00:46,600 --> 00:00:50,479 Speaker 1: in the first comparable global results since the coronavirus pandemic, 13 00:00:50,640 --> 00:00:53,360 Speaker 1: fifteen year olds in the US scored below students in 14 00:00:53,440 --> 00:00:57,520 Speaker 1: similar industrialized democracies like the UK, Australian, Germany, and well 15 00:00:57,520 --> 00:01:00,000 Speaker 1: behind students in the highest performing countries such as Singapore, 16 00:01:00,200 --> 00:01:03,640 Speaker 1: South Korean. Estonia continuing in underperformance in math that pre 17 00:01:03,720 --> 00:01:05,800 Speaker 1: dated the pandemic. In other words, US. 18 00:01:05,760 --> 00:01:09,640 Speaker 3: Students Estonia, those guys are killing it in math. 19 00:01:10,080 --> 00:01:10,760 Speaker 1: Having fun with this? 20 00:01:11,160 --> 00:01:13,200 Speaker 3: Have you ever been to Estonia. I have not It's 21 00:01:13,240 --> 00:01:14,480 Speaker 3: a very small. 22 00:01:14,160 --> 00:01:16,319 Speaker 1: Country, I know, but they're doing well in math. 23 00:01:16,400 --> 00:01:18,839 Speaker 3: It's like saying Bergen, New Jersey is doing well in math. 24 00:01:19,240 --> 00:01:21,600 Speaker 3: Guess what Scarsdale does really great in math? 25 00:01:21,680 --> 00:01:23,480 Speaker 1: All right, so let's get to it. Our next guest says, 26 00:01:23,480 --> 00:01:25,840 Speaker 1: there is a simple path to loving math. I actually 27 00:01:25,880 --> 00:01:29,759 Speaker 1: love math. Joining us is Shaloni Sharma. She's a CEO 28 00:01:29,800 --> 00:01:33,640 Speaker 1: and co founder of the nonprofit educational software organization Zern. 29 00:01:33,760 --> 00:01:36,640 Speaker 1: Her new book Mathmind, The Simple Path to Loving Math, 30 00:01:36,959 --> 00:01:39,479 Speaker 1: Cracking the Numeracy Code for everyone who has ever thought 31 00:01:39,480 --> 00:01:41,039 Speaker 1: they were bad at math? Have you ever thought you 32 00:01:41,040 --> 00:01:41,640 Speaker 1: were bad at math? 33 00:01:42,080 --> 00:01:45,040 Speaker 3: I have a special I have an issue that I 34 00:01:45,080 --> 00:01:46,720 Speaker 3: want to talk to Shanny about. So I'm glad you 35 00:01:46,760 --> 00:01:49,800 Speaker 3: booked her. But why don't you go ahead? 36 00:01:49,840 --> 00:01:52,720 Speaker 1: You start Slanny, Welcome, Welcome. I can't tell you how 37 00:01:52,800 --> 00:01:54,880 Speaker 1: much we've been talking in the newsroom about who's good 38 00:01:54,880 --> 00:01:56,640 Speaker 1: at math, who isn't bad at math? We have lots 39 00:01:56,640 --> 00:02:01,280 Speaker 1: of questions. You start your book well, transparency. You're right. 40 00:02:01,360 --> 00:02:04,120 Speaker 1: The first thing you should know about you is that 41 00:02:04,160 --> 00:02:06,800 Speaker 1: you're not a math prodigy. And then you transferred in 42 00:02:06,840 --> 00:02:09,119 Speaker 1: sixth grade, you got placed in Honors Math. Noticed something 43 00:02:09,200 --> 00:02:12,240 Speaker 1: upon walking into the classroom. Tell us about yourself, walk 44 00:02:12,320 --> 00:02:15,280 Speaker 1: us through that moment in time, and just share with 45 00:02:15,360 --> 00:02:15,959 Speaker 1: us a little bit. 46 00:02:16,200 --> 00:02:18,960 Speaker 4: Yeah, well, thank you so much. I'm so excited to 47 00:02:18,960 --> 00:02:22,640 Speaker 4: talk about all kids loving math. So yeah, I was 48 00:02:22,720 --> 00:02:26,840 Speaker 4: not a math prodigy, and I had a accidental and 49 00:02:26,919 --> 00:02:29,960 Speaker 4: lucky experience in sixth grade that changed the trajectory of 50 00:02:29,960 --> 00:02:34,440 Speaker 4: my life. My math teacher, mister Snyder, he just decided 51 00:02:34,480 --> 00:02:36,600 Speaker 4: to believe in me when I didn't believe in myself. 52 00:02:36,760 --> 00:02:39,240 Speaker 4: What had happened is I was in a math class 53 00:02:40,080 --> 00:02:42,240 Speaker 4: in sixth grade. It was Honors Math. It's the first 54 00:02:42,240 --> 00:02:46,640 Speaker 4: time I experienced that the boys were thriving and the 55 00:02:46,680 --> 00:02:49,600 Speaker 4: girls were quiet in the back. There weren't actually very 56 00:02:49,600 --> 00:02:52,359 Speaker 4: many girls in the class. There were more boys, and 57 00:02:52,480 --> 00:02:55,079 Speaker 4: I was just barely holding on. I remember there was 58 00:02:55,120 --> 00:02:58,160 Speaker 4: a point where I took a test. Mister Snyder called 59 00:02:58,200 --> 00:03:00,799 Speaker 4: me to his desk. My stomach dropped. I went over 60 00:03:00,840 --> 00:03:03,280 Speaker 4: to his desk and I saw less red marking than usual, 61 00:03:03,960 --> 00:03:07,120 Speaker 4: and he said to me, he said, you did better 62 00:03:07,160 --> 00:03:09,960 Speaker 4: on this test, and if you try your best, you 63 00:03:10,000 --> 00:03:12,200 Speaker 4: could be just as good as the boys. And I 64 00:03:12,240 --> 00:03:14,200 Speaker 4: know in twenty twenty four that we don't think that's 65 00:03:14,240 --> 00:03:16,200 Speaker 4: a good thing to say to a little girl. But 66 00:03:16,280 --> 00:03:19,080 Speaker 4: I will tell you that my heart exploded because it 67 00:03:19,120 --> 00:03:21,640 Speaker 4: was the first time I considered that I didn't just 68 00:03:21,720 --> 00:03:24,040 Speaker 4: have to survive, but that I could excel and I 69 00:03:24,040 --> 00:03:27,880 Speaker 4: could be the best. And it started this powerful chain reaction. 70 00:03:28,160 --> 00:03:30,640 Speaker 4: And I wasn't born one, but I made myself a 71 00:03:30,680 --> 00:03:33,080 Speaker 4: math kid and I came to love math. 72 00:03:33,120 --> 00:03:34,519 Speaker 5: And it's because of that moment. 73 00:03:35,760 --> 00:03:40,920 Speaker 3: I had also some really great teachers that I'll never forget. 74 00:03:41,040 --> 00:03:43,080 Speaker 3: I never thought I was that good at math. I 75 00:03:43,120 --> 00:03:46,680 Speaker 3: was very dyslexic. I had a bad memory for you know, 76 00:03:46,760 --> 00:03:49,920 Speaker 3: times tables in you know, first and second grade or 77 00:03:49,920 --> 00:03:52,360 Speaker 3: whenever you do that. But I get to eighth grade 78 00:03:52,440 --> 00:03:54,920 Speaker 3: and I get this algebra teacher at the Columbus Academy, 79 00:03:54,960 --> 00:04:00,880 Speaker 3: Tim Hildreth, who just really made math seem more fun, 80 00:04:01,160 --> 00:04:05,000 Speaker 3: like an art or like music, or like it was 81 00:04:05,080 --> 00:04:09,320 Speaker 3: creative as you write in your book. And he connected 82 00:04:09,360 --> 00:04:15,120 Speaker 3: with me in a way that was cool. The problem 83 00:04:15,160 --> 00:04:19,839 Speaker 3: I have is that I can always visualize the solution. 84 00:04:20,240 --> 00:04:23,800 Speaker 3: I can feel how the problem should work out, and 85 00:04:23,839 --> 00:04:27,719 Speaker 3: I can get a lot of the answers right. I'm 86 00:04:27,760 --> 00:04:31,200 Speaker 3: not good at the formulaic showing your work, and I 87 00:04:31,279 --> 00:04:34,480 Speaker 3: never have been, so I wonder if that's a common problem. 88 00:04:35,040 --> 00:04:39,040 Speaker 5: Yeah, I mean so much in there. So think about reading. 89 00:04:39,279 --> 00:04:42,240 Speaker 4: You know, if, for example, let's say we were all 90 00:04:42,279 --> 00:04:44,200 Speaker 4: going to take a reading test, but none of us 91 00:04:44,279 --> 00:04:46,960 Speaker 4: knew how to read. We didn't know that each letter 92 00:04:47,120 --> 00:04:48,919 Speaker 4: represented a sound, and that you could put the sounds 93 00:04:48,920 --> 00:04:51,120 Speaker 4: together and make bigger sounds like we didn't. We didn't 94 00:04:51,160 --> 00:04:53,880 Speaker 4: know that, but you showed us. You showed me a 95 00:04:53,880 --> 00:04:56,560 Speaker 4: bunch of symbols, and you said, when these symbols are together, 96 00:04:56,680 --> 00:04:59,200 Speaker 4: that means the word house. When these symbols are together, 97 00:04:59,279 --> 00:05:02,479 Speaker 4: that means the word radio. And so there was a 98 00:05:02,480 --> 00:05:05,600 Speaker 4: two hundred word test. I crammed it, I memorized all 99 00:05:05,600 --> 00:05:07,200 Speaker 4: the words. I even got an A on the test. 100 00:05:07,880 --> 00:05:11,599 Speaker 4: But because of how every human brain works, every adult brain, 101 00:05:11,680 --> 00:05:15,080 Speaker 4: every kid brain, I would start to forget that. And 102 00:05:15,120 --> 00:05:16,919 Speaker 4: so two weeks later, even though I got an A 103 00:05:17,040 --> 00:05:21,280 Speaker 4: on the test, I would forget how to read. And 104 00:05:21,360 --> 00:05:25,200 Speaker 4: so think about how terrifying an insane reading. 105 00:05:24,880 --> 00:05:26,520 Speaker 5: Would feel if we taught it that way. 106 00:05:26,920 --> 00:05:28,279 Speaker 4: And so what you're talking about happened to you in 107 00:05:28,279 --> 00:05:32,680 Speaker 4: your eighth grade class is that the symbols and the 108 00:05:32,760 --> 00:05:36,720 Speaker 4: meaning came together. So what math really is is symbolic 109 00:05:36,839 --> 00:05:40,520 Speaker 4: notation to describe the real world around you. That's actually 110 00:05:40,560 --> 00:05:43,640 Speaker 4: all it is. And so when you see pictures and visuals, 111 00:05:43,880 --> 00:05:47,000 Speaker 4: then you get to connect that symbolic notation with reality 112 00:05:47,480 --> 00:05:50,919 Speaker 4: and then it sinks into the brain and it becomes durable. 113 00:05:50,920 --> 00:05:53,080 Speaker 4: And that's just the science of how our brains work. 114 00:05:53,160 --> 00:05:56,320 Speaker 4: So if you're teaching, let's say a seventh grader about 115 00:05:56,320 --> 00:05:59,159 Speaker 4: negative numbers, you can teach them all these rules of 116 00:05:59,480 --> 00:06:02,320 Speaker 4: when you to apply on negative times a negative, it's positive, 117 00:06:02,320 --> 00:06:04,599 Speaker 4: when you subtract and negative from a negative. 118 00:06:04,640 --> 00:06:05,839 Speaker 5: You know, you can give them. 119 00:06:05,680 --> 00:06:08,440 Speaker 4: A table and they may cram it, but they're going 120 00:06:08,520 --> 00:06:11,560 Speaker 4: to feel really stressed. But if you instead you say, okay, 121 00:06:11,640 --> 00:06:15,279 Speaker 4: think about negative numbers. As you dive into the ocean 122 00:06:15,720 --> 00:06:18,320 Speaker 4: and you go deep into the ocean, and that's negative numbers. 123 00:06:18,600 --> 00:06:21,680 Speaker 4: Get back up to sea level, that's zero, and then 124 00:06:21,720 --> 00:06:25,000 Speaker 4: you climb a mountain, those are positive numbers. Now let's 125 00:06:25,120 --> 00:06:27,360 Speaker 4: lay that out in the number line. And so if 126 00:06:27,360 --> 00:06:30,640 Speaker 4: we see the number negative five, that is the position 127 00:06:30,920 --> 00:06:34,559 Speaker 4: of the number on the number line. Now start playing 128 00:06:34,560 --> 00:06:38,200 Speaker 4: with the numbers, and that's what's often missing for kids? 129 00:06:38,360 --> 00:06:40,279 Speaker 5: Is that making sense? 130 00:06:40,320 --> 00:06:44,559 Speaker 4: And the kids who love math, perhaps, maybe Carol, they're 131 00:06:44,600 --> 00:06:47,160 Speaker 4: doing that in their heads. Either adults showed. 132 00:06:46,920 --> 00:06:48,800 Speaker 5: It to them, they figured it out themselves. 133 00:06:48,800 --> 00:06:51,279 Speaker 4: They read the textbook. However, they figured that out, but 134 00:06:51,360 --> 00:06:55,440 Speaker 4: they put the symbols and the pictures together. And one 135 00:06:55,440 --> 00:06:57,080 Speaker 4: of the main things we can do to help kids 136 00:06:57,120 --> 00:07:00,920 Speaker 4: love math is always offer them those pictures proactively. 137 00:07:01,400 --> 00:07:01,560 Speaker 3: You know. 138 00:07:01,600 --> 00:07:05,240 Speaker 1: It's funny one of our producers cci, She's like, I 139 00:07:05,279 --> 00:07:07,279 Speaker 1: want to read this book, and she even said in 140 00:07:07,279 --> 00:07:09,600 Speaker 1: the newsroom, I think I had a question here, but like, 141 00:07:09,840 --> 00:07:14,880 Speaker 1: can you help adults enjoy math and have kind of 142 00:07:14,920 --> 00:07:17,280 Speaker 1: a math mind? Having said that, you know, I grew 143 00:07:17,360 --> 00:07:19,680 Speaker 1: up there's a lot of memorization and a lot of 144 00:07:19,760 --> 00:07:23,000 Speaker 1: like doing problems and a lot of that, And I 145 00:07:23,000 --> 00:07:24,680 Speaker 1: feel like the focus wasn't so much on how you 146 00:07:24,720 --> 00:07:26,640 Speaker 1: got there, just get there and get the right answer. 147 00:07:27,080 --> 00:07:31,200 Speaker 1: I mean, can an adult learn to love math and 148 00:07:31,240 --> 00:07:32,080 Speaker 1: be better at math? 149 00:07:32,520 --> 00:07:33,640 Speaker 5: Yeah? Definitely. 150 00:07:33,680 --> 00:07:36,480 Speaker 4: And I think I think we as adults all kind 151 00:07:36,520 --> 00:07:39,000 Speaker 4: of have to, you know, for two reasons. One is, 152 00:07:39,280 --> 00:07:44,080 Speaker 4: if we're parents or aunties and uncles of kids, if 153 00:07:44,160 --> 00:07:47,240 Speaker 4: we love math, we will help them love math and 154 00:07:47,280 --> 00:07:50,360 Speaker 4: so so it's just it's kind of our duty to 155 00:07:50,440 --> 00:07:54,240 Speaker 4: help kids. But the second is in the world that is, 156 00:07:54,960 --> 00:07:57,920 Speaker 4: you know, kind of manifesting in front of us, the 157 00:07:57,960 --> 00:08:01,520 Speaker 4: need for numeracy. Just it's just off the charts, and 158 00:08:01,960 --> 00:08:04,320 Speaker 4: you know, there's a lot of attention paid to literacy, 159 00:08:04,840 --> 00:08:07,240 Speaker 4: but it just really pains me that there's this prevailing 160 00:08:07,320 --> 00:08:10,560 Speaker 4: misconception that some kids are destined to be left behind 161 00:08:11,160 --> 00:08:14,320 Speaker 4: and they can't do math, or some adults can't do math. 162 00:08:15,120 --> 00:08:17,600 Speaker 4: And more and more we see that that means they 163 00:08:17,640 --> 00:08:22,240 Speaker 4: can't participate, and that means even participate in like understanding 164 00:08:22,280 --> 00:08:24,320 Speaker 4: your show. You know, you have such an interesting show, 165 00:08:24,360 --> 00:08:27,120 Speaker 4: but you're using a lot of mathematical terms, and so 166 00:08:27,160 --> 00:08:30,320 Speaker 4: we want people to be able to participate. But yes, 167 00:08:30,680 --> 00:08:33,520 Speaker 4: I think there are four steps to building a math mind, 168 00:08:33,559 --> 00:08:35,080 Speaker 4: and I think they pertain to anybody. 169 00:08:35,160 --> 00:08:36,560 Speaker 1: It's like the race when you're at the you know, 170 00:08:36,600 --> 00:08:38,439 Speaker 1: at the end of a dinner and you're like, okay, 171 00:08:38,520 --> 00:08:40,560 Speaker 1: we're going to give them. You know, you're out to 172 00:08:40,559 --> 00:08:42,679 Speaker 1: dinner with a bunch of friends, like fifteen twenty percent okay, 173 00:08:42,720 --> 00:08:45,040 Speaker 1: Like everybody's like figuring it out, and it's like who 174 00:08:45,040 --> 00:08:46,839 Speaker 1: could do it? So, like fast. I don't know. 175 00:08:46,880 --> 00:08:48,640 Speaker 3: When we were kids, it was fifteen to twenty percent. 176 00:08:48,640 --> 00:08:50,840 Speaker 3: Now they want like twenty twenty five, thirty. 177 00:08:50,880 --> 00:08:51,600 Speaker 1: It's a little different. 178 00:08:51,679 --> 00:08:56,600 Speaker 3: You say that there are roadblocks for adults and for kids. 179 00:08:57,559 --> 00:09:00,640 Speaker 3: What are the sort of hurdles that we need to overcome? 180 00:09:00,679 --> 00:09:02,440 Speaker 3: What are the common issues? 181 00:09:02,880 --> 00:09:05,720 Speaker 4: Yeah, I mean so the first is just believe. You 182 00:09:06,040 --> 00:09:08,079 Speaker 4: open the show at the top by talking about the 183 00:09:08,160 --> 00:09:11,839 Speaker 4: United States versus other countries. You know, shared some love 184 00:09:11,880 --> 00:09:16,400 Speaker 4: for Estonia, and what's happening in those countries is and 185 00:09:16,559 --> 00:09:19,480 Speaker 4: it might seem so simple, but it's a big deal. 186 00:09:19,960 --> 00:09:23,400 Speaker 4: Which is in those countries people start with the belief 187 00:09:23,960 --> 00:09:26,800 Speaker 4: that kids can do math. So, you know, the simple 188 00:09:26,880 --> 00:09:29,840 Speaker 4: parallel I give is, imagine if we put all our 189 00:09:29,920 --> 00:09:34,160 Speaker 4: kids in this country in kindergarten through eighth grade, and 190 00:09:34,200 --> 00:09:35,600 Speaker 4: at the end they came out and we gave them 191 00:09:35,600 --> 00:09:38,319 Speaker 4: a test, and we thought the test was really high quality, and. 192 00:09:38,280 --> 00:09:41,520 Speaker 5: At the end of the test the majority were illiterate. 193 00:09:41,600 --> 00:09:45,520 Speaker 5: The majority couldn't read. We'd be scandalized. 194 00:09:45,960 --> 00:09:49,160 Speaker 4: And what if even worse than that, a bunch of 195 00:09:49,240 --> 00:09:52,800 Speaker 4: adults said that's okay, they're not reading kids. You know, 196 00:09:52,840 --> 00:09:55,520 Speaker 4: we get very mad at the adults. But that's the 197 00:09:55,640 --> 00:09:57,679 Speaker 4: exact same thing we're doing in math. 198 00:09:58,640 --> 00:10:01,920 Speaker 1: We're talking with Shlony Sharma. She's CEO and co founder 199 00:10:02,360 --> 00:10:06,240 Speaker 1: of Zuri. It's a nonprofit educational software organization. Her new book, 200 00:10:06,280 --> 00:10:09,280 Speaker 1: which is what we're talking about, is entitled Mathmind, The 201 00:10:09,280 --> 00:10:10,880 Speaker 1: Simple Path to Loving Math. 202 00:10:11,520 --> 00:10:13,520 Speaker 3: And oh, by the way, can I just say one thing? 203 00:10:13,600 --> 00:10:15,360 Speaker 3: You can say whatever you talking at the top about 204 00:10:15,360 --> 00:10:18,720 Speaker 3: how the US obviously you know US kids in general 205 00:10:18,960 --> 00:10:22,040 Speaker 3: aren't doing great at math compared to the kids in Singapore. Yeah, 206 00:10:22,040 --> 00:10:24,280 Speaker 3: and then you mentioned Estonia. Yeah, and I made a 207 00:10:24,360 --> 00:10:26,160 Speaker 3: joke about how small. I want to point out that 208 00:10:26,200 --> 00:10:29,160 Speaker 3: I do love Estonia. I went there for an ECB 209 00:10:29,360 --> 00:10:30,680 Speaker 3: conference to talent. 210 00:10:31,040 --> 00:10:31,280 Speaker 1: Yeah. 211 00:10:31,360 --> 00:10:36,320 Speaker 3: I stayed at the Hotel Telegraph, which was beautiful. Downtown 212 00:10:36,440 --> 00:10:38,960 Speaker 3: is very nice. I would, as a tourist go back 213 00:10:39,120 --> 00:10:41,000 Speaker 3: just to hang out. So I just want everyone from 214 00:10:41,120 --> 00:10:43,280 Speaker 3: Estonia to know I do love you. 215 00:10:43,400 --> 00:10:45,120 Speaker 1: Because we get hate mail, or MAC gets. 216 00:10:45,000 --> 00:10:46,880 Speaker 3: Hate mail, and school that they're great at math. 217 00:10:47,320 --> 00:10:49,400 Speaker 1: I want to go to chapter twelve. You say math 218 00:10:49,480 --> 00:10:51,480 Speaker 1: matters for everyone, but we act as if it matters 219 00:10:51,520 --> 00:10:54,080 Speaker 1: only for a select few. Our education system is built 220 00:10:54,080 --> 00:10:57,760 Speaker 1: around both overt and quiet classifying of students what you 221 00:10:57,800 --> 00:11:00,960 Speaker 1: have referred to as sorting. We track class says. I 222 00:11:01,000 --> 00:11:03,120 Speaker 1: grew up where it was like kids are in honors math, 223 00:11:03,240 --> 00:11:05,360 Speaker 1: kids were in regular math casts, kids were in math 224 00:11:05,360 --> 00:11:07,440 Speaker 1: that needed help, and it was like you were you 225 00:11:07,520 --> 00:11:10,160 Speaker 1: were definitely I know, like I don't even want to say, 226 00:11:10,240 --> 00:11:12,320 Speaker 1: and it really put you in a certain way. And 227 00:11:12,960 --> 00:11:15,120 Speaker 1: I hope my daughter's not listening. But she was in 228 00:11:15,160 --> 00:11:18,640 Speaker 1: a point where she thought she wasn't good in math 229 00:11:19,080 --> 00:11:22,440 Speaker 1: and got a tutor and she actually is really great 230 00:11:22,480 --> 00:11:25,360 Speaker 1: in math and loves it, and so it's just but 231 00:11:25,679 --> 00:11:27,480 Speaker 1: she got it in her head that she wasn't great. 232 00:11:27,520 --> 00:11:30,360 Speaker 1: I really hope she's not listening. She will hate me forever. 233 00:11:31,160 --> 00:11:34,480 Speaker 1: But anyway, but what we do in the US, what's 234 00:11:34,480 --> 00:11:36,080 Speaker 1: wrong with what we do in the US and how 235 00:11:36,120 --> 00:11:37,760 Speaker 1: we teach math, Because there was something I saw on 236 00:11:37,880 --> 00:11:40,920 Speaker 1: video where you talk about math war, something the US 237 00:11:41,000 --> 00:11:42,280 Speaker 1: does but other countries don't. 238 00:11:42,520 --> 00:11:44,800 Speaker 4: So like your kid and millions like them were at 239 00:11:44,840 --> 00:11:46,760 Speaker 4: the top of my mind when I was writing Math Mind. 240 00:11:47,120 --> 00:11:50,920 Speaker 4: And we have a system and it's it's a strange 241 00:11:50,960 --> 00:11:54,800 Speaker 4: one where we actually spend billions of dollars educating millions 242 00:11:54,800 --> 00:11:55,920 Speaker 4: of kids by sorting. 243 00:11:56,640 --> 00:11:57,440 Speaker 5: So we're trying to. 244 00:11:57,320 --> 00:12:00,000 Speaker 4: Find the math kids, not just teach all kids math, 245 00:12:00,080 --> 00:12:01,880 Speaker 4: which is what is happening in other countries. 246 00:12:02,200 --> 00:12:03,920 Speaker 5: And kids aren't dumb, right. 247 00:12:03,800 --> 00:12:05,880 Speaker 4: So you can say whatever you want put like, you know, 248 00:12:06,200 --> 00:12:09,600 Speaker 4: nice things on posters, like you know, making mistakes is 249 00:12:09,679 --> 00:12:12,480 Speaker 4: okay or whatever, but they know what's actually going on. 250 00:12:13,000 --> 00:12:15,760 Speaker 4: And what's going on is that the way we teach 251 00:12:15,960 --> 00:12:19,320 Speaker 4: in mathematics is it's a test to see if you 252 00:12:19,360 --> 00:12:22,720 Speaker 4: have that rare genetic material to be able to do math, 253 00:12:23,080 --> 00:12:25,360 Speaker 4: and every day you can fail the test. So, by 254 00:12:25,360 --> 00:12:27,800 Speaker 4: the way, even kids who are in the honors class, 255 00:12:27,800 --> 00:12:30,960 Speaker 4: they're not feeling really good either. Everyone is feeling uncomfortable. 256 00:12:31,000 --> 00:12:34,599 Speaker 4: Everyone is feeling like there's this scarce, rare genetic in 257 00:12:34,679 --> 00:12:37,120 Speaker 4: more material, but it's completely not born out in science. 258 00:12:37,400 --> 00:12:40,920 Speaker 4: Babies as young as two weeks old understand quantities. Pigeons 259 00:12:41,000 --> 00:12:43,360 Speaker 4: can count, so con dolphins, And so we just have 260 00:12:43,400 --> 00:12:46,440 Speaker 4: to relax because we can all do math. And what 261 00:12:46,480 --> 00:12:49,400 Speaker 4: I'd say is that doesn't mean that kids who have 262 00:12:49,440 --> 00:12:52,560 Speaker 4: a deep passion for mathematics shouldn't be able to accelerate ahead. 263 00:12:52,760 --> 00:12:55,400 Speaker 4: If you have a deep passion for writing or journalism, 264 00:12:55,440 --> 00:12:57,960 Speaker 4: you should be able to accelerate ahead. But that doesn't 265 00:12:57,960 --> 00:13:01,080 Speaker 4: mean because you accelerate ahead that I shouldn't get to 266 00:13:01,120 --> 00:13:05,520 Speaker 4: have really fun and challenging writing opportunities. And so we 267 00:13:05,600 --> 00:13:07,960 Speaker 4: don't have to put those things in opposition, and we 268 00:13:08,080 --> 00:13:10,440 Speaker 4: don't in other fields of knowledge, but we just do 269 00:13:10,559 --> 00:13:13,439 Speaker 4: it in math. I would just say it's crazy and 270 00:13:13,840 --> 00:13:14,360 Speaker 4: we could. 271 00:13:14,240 --> 00:13:14,959 Speaker 5: Just all stop. 272 00:13:16,000 --> 00:13:19,560 Speaker 3: I want to know what the system is that you developed, 273 00:13:19,640 --> 00:13:22,800 Speaker 3: or that Zern developed. I read that you guys have 274 00:13:22,880 --> 00:13:27,480 Speaker 3: a system that one in four elementary school kids use, 275 00:13:27,840 --> 00:13:30,040 Speaker 3: and I don't know like half of middle schoolers use, 276 00:13:31,320 --> 00:13:34,160 Speaker 3: which made me curious, like, what is it? What is 277 00:13:34,200 --> 00:13:38,439 Speaker 3: it like a program? Do you have materials for teachers? 278 00:13:38,600 --> 00:13:40,680 Speaker 3: Is it like you know, tricks? 279 00:13:40,720 --> 00:13:41,160 Speaker 1: What is it? 280 00:13:42,280 --> 00:13:46,120 Speaker 4: Yeah, so it's a million middle school kids, but the 281 00:13:47,360 --> 00:13:48,959 Speaker 4: think about so those a way I'd like to think 282 00:13:49,000 --> 00:13:53,280 Speaker 4: about Zern. There's a really famous mathematician who describes our 283 00:13:53,320 --> 00:13:55,640 Speaker 4: problem in middle school math in America, and he says, 284 00:13:55,920 --> 00:13:58,360 Speaker 4: kids walk out of class every day like ten to 285 00:13:58,400 --> 00:14:01,280 Speaker 4: twenty minutes behind in terms of confusion. Now we make 286 00:14:01,320 --> 00:14:04,040 Speaker 4: that a big catastrophe, but that's all. They're just ten 287 00:14:04,040 --> 00:14:06,400 Speaker 4: to twenty minutes behind. And if we could support them 288 00:14:06,800 --> 00:14:09,520 Speaker 4: in their homework or with just ten to twenty minutes 289 00:14:09,559 --> 00:14:12,480 Speaker 4: of additional input, then they would get it. It would click, 290 00:14:12,640 --> 00:14:14,600 Speaker 4: you know, you get that aha moment in your brain. 291 00:14:15,160 --> 00:14:18,520 Speaker 4: And so think of ZERN as that digital compliment. It's 292 00:14:18,520 --> 00:14:21,000 Speaker 4: the ten to twenty minutes every day for teachers or 293 00:14:21,000 --> 00:14:24,000 Speaker 4: for families, and unzerned dot org it's free for teachers 294 00:14:24,040 --> 00:14:28,480 Speaker 4: or families, and so we provide that ten to twenty minutes. 295 00:14:28,520 --> 00:14:31,040 Speaker 4: I think some of the secret sauce of ZERN is 296 00:14:32,000 --> 00:14:37,400 Speaker 4: the pictures, gifts, visualizations, you know, when we're teaching. So 297 00:14:37,720 --> 00:14:42,400 Speaker 4: for example, when we're teaching a fraction bigger than one hole, 298 00:14:42,560 --> 00:14:47,120 Speaker 4: so eight forts, like what does that even mean? On screen, 299 00:14:47,360 --> 00:14:51,080 Speaker 4: the teacher will cut two oranges into forts and you 300 00:14:51,080 --> 00:14:54,720 Speaker 4: can see, well, it's two oranges and they're cut into 301 00:14:54,720 --> 00:14:56,480 Speaker 4: four pieces, so that there's eight pieces. 302 00:14:56,920 --> 00:14:58,120 Speaker 5: And so it moves it. 303 00:14:58,080 --> 00:15:01,760 Speaker 4: From really abstract, no really knows what a force means 304 00:15:01,800 --> 00:15:04,920 Speaker 4: in third grade to being extremely concrete. Everybody understands two 305 00:15:04,920 --> 00:15:07,960 Speaker 4: orange just cut into four pieces, and so that that's 306 00:15:08,000 --> 00:15:09,480 Speaker 4: how we're trying to support kids. 307 00:15:09,720 --> 00:15:12,680 Speaker 1: Shel any I wonder AI artificial intelligence. Do you think 308 00:15:12,680 --> 00:15:14,040 Speaker 1: that's going to be a good or bad thing for 309 00:15:14,080 --> 00:15:14,640 Speaker 1: the world of math. 310 00:15:14,760 --> 00:15:16,680 Speaker 3: Ya, do we need math? We have iPhones and. 311 00:15:16,800 --> 00:15:19,120 Speaker 1: We've talked with Sacon about a lot of this in 312 00:15:19,200 --> 00:15:20,320 Speaker 1: terms of what he's doing. 313 00:15:20,400 --> 00:15:22,960 Speaker 3: And I'm just going to ask, Yeah, con Academy like 314 00:15:23,000 --> 00:15:25,600 Speaker 3: a competitor or I mean, you're not for profit, So 315 00:15:25,680 --> 00:15:26,560 Speaker 3: what do you think about that? 316 00:15:27,320 --> 00:15:29,160 Speaker 4: Yeah, I mean so I would say, there's only two 317 00:15:29,200 --> 00:15:31,040 Speaker 4: sites I let my I have thirteen year old twin boys, 318 00:15:31,080 --> 00:15:31,600 Speaker 4: only two sites. 319 00:15:31,640 --> 00:15:34,760 Speaker 5: I let my kids on con Academy and Zern. 320 00:15:35,160 --> 00:15:37,960 Speaker 4: And I know sales kids have played with Zern and 321 00:15:38,000 --> 00:15:40,720 Speaker 4: I think it's really outstanding. And he does similar things 322 00:15:40,800 --> 00:15:44,880 Speaker 4: with visualizations and videos. And you know, we're both nonprofits 323 00:15:44,920 --> 00:15:47,640 Speaker 4: just trying to put the best education we can up 324 00:15:47,720 --> 00:15:51,440 Speaker 4: online for free for everyone. You know, I think that 325 00:15:51,560 --> 00:15:54,880 Speaker 4: with regard to AI, I don't know. I have no ability, 326 00:15:54,920 --> 00:15:56,920 Speaker 4: no expertise, and no ability to predict where the world 327 00:15:56,960 --> 00:15:59,960 Speaker 4: will go. But I'll say this, which is it makes 328 00:16:00,000 --> 00:16:03,600 Speaker 4: does it seem like math is more important? And the 329 00:16:03,640 --> 00:16:06,680 Speaker 4: reason for that is like today, in today's world, the 330 00:16:06,720 --> 00:16:10,320 Speaker 4: single biggest predictor of getting through high school into college, 331 00:16:10,400 --> 00:16:13,520 Speaker 4: graduating college, and then having a massive effect in the 332 00:16:13,560 --> 00:16:17,160 Speaker 4: sum of millions of dollars on lifetime earnings. Is algebra 333 00:16:17,320 --> 00:16:22,040 Speaker 4: completion just that algebra completion in your K twelve experience. 334 00:16:22,640 --> 00:16:24,720 Speaker 4: And so if that's what's happening today in the world 335 00:16:24,760 --> 00:16:27,080 Speaker 4: of jobs today, think about what happens in the future 336 00:16:27,640 --> 00:16:31,200 Speaker 4: as numerous y and math skills become more and more 337 00:16:31,240 --> 00:16:33,960 Speaker 4: expected and more and more part of every job. We 338 00:16:34,000 --> 00:16:36,560 Speaker 4: already see stem jobs mixing together. We used to think 339 00:16:36,600 --> 00:16:39,280 Speaker 4: stem jobs were you became an electrical engineer, you became 340 00:16:39,320 --> 00:16:40,400 Speaker 4: a computer scientist. 341 00:16:40,840 --> 00:16:41,520 Speaker 5: Not the case. 342 00:16:41,920 --> 00:16:45,080 Speaker 4: Lots of folks who are majoring in history are actually 343 00:16:45,120 --> 00:16:46,400 Speaker 4: out there doing STEM jobs. 344 00:16:47,800 --> 00:16:50,920 Speaker 1: This was really fun and I feel like any of us, well, 345 00:16:51,040 --> 00:16:55,280 Speaker 1: I think you certainly much of adults you resonated with, 346 00:16:55,360 --> 00:16:57,240 Speaker 1: and of us you have kids. It definitely resonate. 347 00:16:57,280 --> 00:16:59,600 Speaker 3: We had twenty seconds left. Who did it better? Teaching 348 00:16:59,640 --> 00:17:02,280 Speaker 3: math at the university level? Brown or Harvard. 349 00:17:04,119 --> 00:17:04,439 Speaker 5: Brown? 350 00:17:05,560 --> 00:17:09,320 Speaker 1: Ooh, well done, well done, Sheliny, Thank you so much, 351 00:17:09,359 --> 00:17:12,320 Speaker 1: good luck. Look forward to catching up with you again 352 00:17:12,480 --> 00:17:15,359 Speaker 1: in the future. Shelony Sharma, she's CEO co founder of 353 00:17:15,400 --> 00:17:19,400 Speaker 1: the nonprofit educational software organization ZERN. Her new book check 354 00:17:19,440 --> 00:17:22,119 Speaker 1: it out. It is entitled Mathmind, The Simple Path to 355 00:17:22,280 --> 00:17:25,280 Speaker 1: Loving Math cracking the numeracy code for everyone who has 356 00:17:25,280 --> 00:17:26,600 Speaker 1: ever thought they were bad at math. 357 00:17:27,720 --> 00:17:28,919 Speaker 3: Cool, very cool. 358 00:17:29,280 --> 00:17:29,719 Speaker 1: I love it. 359 00:17:29,760 --> 00:17:30,760 Speaker 3: I love I love math. 360 00:17:30,840 --> 00:17:33,520 Speaker 1: I do truly I love math too. All Right, everybody, 361 00:17:33,520 --> 00:17:34,400 Speaker 1: This is Bloomberg. 362 00:17:34,760 --> 00:17:37,960 Speaker 2: This is the Bloomberg Business Week podcast of a Little 363 00:17:38,200 --> 00:17:41,520 Speaker 2: Apple and Spotify and anywhere else you get your podcast. 364 00:17:42,040 --> 00:17:45,320 Speaker 2: Listen live weekday afternoons from two to five pm Eastern 365 00:17:45,520 --> 00:17:48,919 Speaker 2: on Bloomberg dot com, the iHeartRadio app, tune In, and 366 00:17:49,000 --> 00:17:51,720 Speaker 2: the Bloomberg Business App. You can also watch us live 367 00:17:51,840 --> 00:18:02,320 Speaker 2: every weekday on YouTube and always on the Bloomberg terminale