LaunchCode เรียนรู้การเขียนคอมพิวเตอร์โค้ด .. 30/12/2560
https://ppantip.com/topic/37232276
ขณะที่ประเทศไทยเยาวชนไทยหลายแสนคนลงทุนเรียนจบปริญญาตรีแล้วหางานทำไมได้ หรือหลายแสนคนไม่มีปริญญาไปสมัครงานแล้วเขาไม่รับ ในสหรัฐฯ ก็มีองค์กรที่ตั้งขึ้นเพื่อช่วยฝึกทักษะการทำงานโดยเฉพาะด้านเทคโนโลยีคอมพิวเตอร์และการเขียนโค้ดคอมพิวเตอร์ ร่วมมือกับหน่วยงานเอกชนที่เป็นนายจ้างทำโปรแกรมฝึกงานร่วมกันโดยจ่ายค่าจ้าง (paid paired apprenticeship) ให้กับเยาวขนที่มีศักยภาพแต่ไม่มีดีกรี ทำให้เยาวชนเก่งๆมีงานทำ เรื่องในหนังสือ Thank You for Being Late (Friedman, 2016: 232-234) ได้เล่าเรื่องนี้ ว่าคนผิวดำผู้หญิงคนนี้เมื่อเข้าโปรแกรมนี้โดยไม่จบป.ตรี สามารถเป็นวิศวกรระบบ (system engineer) ของบริษัทเครดิดการ์ดยักษ์ใหญ่อย่าง Master Card ได้
ต่อไปคนมีดีกรีไม่ว่าตรีโทเอกแต่ไม่มีทักษะ มีแต่กระดาษคุณวุฒิต่างๆ แต่ไม่มีความสามารถจริงๆ อาจอยู่ไม่ได้ในโลกใบนี้ที่มีการเปลี่ยนแปลงที่มีอัตราเร่งเพื่มขึ้น (accelerated change) แบบนี้
https://en.wikipedia.org/wiki/LaunchCode
https://www.launchcode.org/
.. สรายุทธ เสาร์ 30/12/2560
อยากเป็นเพื่อน Facebook ไปทักที่
https://www.facebook.com/sarayuth.kunlong
I thought of you when I read this quote from "Thank You for Being Late: An Optimist's Guide to Thriving in the Age of Accelerations" by Thomas L. Friedman -
"Intelligent Algorithms I could tell you why intelligent algorithms are so valuable for the world of work in the age of accelerations, but I would rather just tell you the story of how LaShana Lewis, a computer server engineer with MasterCard, got her job. I got to know Lewis at a panel discussion on how to “re-wire the U.S. labor market,” organized by Opportunity@Work. Lewis, an African American woman, now age forty, was born to a single mom (who was herself just fifteen years old when she had LaShana) in East St. Louis, Illinois.
“My mom was on welfare, and we lived in public housing. Everyone around us was on welfare. We did not have many resources at home; there were no computers in the schools, which were funded with property taxes.” But Lewis discovered early in life that she “had a knack for fixing things.” So whatever broke around the house—from toasters to sinks—she would repair herself.
Once she hit high school, where they had computers, she dived into the computer science course; she ended up tutoring other students and catching the eye of the teacher, who told her: “You need to go to college and study computers.” She got a scholarship to attend Michigan Tech, but even with the scholarship she did not have enough to support herself and dropped out after three and a half years—without a degree. She would have graduated in 1998.
“So I came back home and tried to get a job in computing, but I was blocked every time,” said Lewis. “People asked if I had graduated, and I would not lie and said ‘no,’ so I got a job driving black kids back and forth to a supplemental tutoring program from the high school I went to in East St. Louis to the local community college. So I am driving the van, and one day the computer science tutor at this tutoring program quits. So they asked me to fill in, which I did. And at the end of the month, I asked if I could do the job full-time and they said, ‘No, you don’t have a degree.’ So after that frustration, I went to a hiring firm and they got me into a help desk.”
She worked at help desks for ten years, helping knuckleheads like me reset their passwords and the like. Her break came while she was working at the help desk at Webster University in St. Louis, when a colleague and faculty member saw just how talented she was. (She was constantly hanging around with the IT team, working as a backup technician.) One day, while Lewis was taking a refresher course on computing at Webster, her professor, who’d learned about a new intelligent assistant—LaunchCode.org—told Lewis to check it out. LaunchCode’s aim is to help “you find the best resources online and in your community to prepare yourself for a job in tech.”
Its promise is: “Don’t sweat your credentials, just show us what you can do. Apply online for a LaunchCode apprenticeship and we will help you grow your skills and passion for tech, while matching you with mentors and providing feedback on your progress. LaunchCode matches you with one of our 500 employer partners for a paid apprenticeship, typically twelve weeks long. Hone your skills on the job, learning from experienced developers. Nine out of ten apprentices are converted to full-time hires.”
Lewis signed on with LaunchCode in June 2014 and was hired by MasterCard in St. Louis as an apprentice in September of that year and promoted to full-time assistant systems engineer by November, helping the credit card company manage its giant server network. In March 2016, she was promoted to systems engineer. And as Lewis told me with a twinkle in her eye, “I still don’t have my BA.” Roughly estimated, there are about thirty-five million LaShana Lewises in America today who started college but never finished.
Imagine how much more productive we could be as a country if we could find ways to value and capture the learning those thirty-five million have. We simply cannot continue with this binary system of degree or no degree, where the key to inclusion is pedigree and not what you actually know and can actually do. The emergence of intelligent algorithms and networks such as LaunchCode, which can be used by employers as trusted validators to sow people into the system and not weed them out of it, holds the promise of unlocking a lot of wasted talent.
Says Lewis: “If you can do the job, you should get the job.” Fortunately, intelligent algorithms and intelligent networks are emerging and enabling a new social contract. There are actually a lot of people who have the skills certain employers are seeking, but may not have the traditional credentials to be appreciated. There are many people who would be happy to learn those skills but don’t have the information on what they are or access to learning platforms, some of which are unconventional and not covered by traditional government loans.
There are employers who have employees with the skills—or the aspiration to acquire the skills—for new jobs, but the employers don’t know who they are or are not currently set up to offer them online training opportunities. And there are schools that are actually great at teaching those skills, but no one knows which schools do that the best. As we develop more intelligent algorithms “to overcome these labor market failures,” argued Byron Auguste, we can put so many more people to work—work better aligned to their talents that contributes more to our economy and society—no matter how many machines and robots are out there. These intelligent algorithms or networks are called “online talent platforms.”" p 232-234
Start reading this book for free:
http://a.co/8HqxXXk
LaunchCode เรียนรู้การเขียนคอมพิวเตอร์โค้ด .. 30/12/2560 สรายุทธ กันหลง
https://ppantip.com/topic/37232276
ขณะที่ประเทศไทยเยาวชนไทยหลายแสนคนลงทุนเรียนจบปริญญาตรีแล้วหางานทำไมได้ หรือหลายแสนคนไม่มีปริญญาไปสมัครงานแล้วเขาไม่รับ ในสหรัฐฯ ก็มีองค์กรที่ตั้งขึ้นเพื่อช่วยฝึกทักษะการทำงานโดยเฉพาะด้านเทคโนโลยีคอมพิวเตอร์และการเขียนโค้ดคอมพิวเตอร์ ร่วมมือกับหน่วยงานเอกชนที่เป็นนายจ้างทำโปรแกรมฝึกงานร่วมกันโดยจ่ายค่าจ้าง (paid paired apprenticeship) ให้กับเยาวขนที่มีศักยภาพแต่ไม่มีดีกรี ทำให้เยาวชนเก่งๆมีงานทำ เรื่องในหนังสือ Thank You for Being Late (Friedman, 2016: 232-234) ได้เล่าเรื่องนี้ ว่าคนผิวดำผู้หญิงคนนี้เมื่อเข้าโปรแกรมนี้โดยไม่จบป.ตรี สามารถเป็นวิศวกรระบบ (system engineer) ของบริษัทเครดิดการ์ดยักษ์ใหญ่อย่าง Master Card ได้
ต่อไปคนมีดีกรีไม่ว่าตรีโทเอกแต่ไม่มีทักษะ มีแต่กระดาษคุณวุฒิต่างๆ แต่ไม่มีความสามารถจริงๆ อาจอยู่ไม่ได้ในโลกใบนี้ที่มีการเปลี่ยนแปลงที่มีอัตราเร่งเพื่มขึ้น (accelerated change) แบบนี้
https://en.wikipedia.org/wiki/LaunchCode
https://www.launchcode.org/
.. สรายุทธ เสาร์ 30/12/2560
อยากเป็นเพื่อน Facebook ไปทักที่ https://www.facebook.com/sarayuth.kunlong
I thought of you when I read this quote from "Thank You for Being Late: An Optimist's Guide to Thriving in the Age of Accelerations" by Thomas L. Friedman -
"Intelligent Algorithms I could tell you why intelligent algorithms are so valuable for the world of work in the age of accelerations, but I would rather just tell you the story of how LaShana Lewis, a computer server engineer with MasterCard, got her job. I got to know Lewis at a panel discussion on how to “re-wire the U.S. labor market,” organized by Opportunity@Work. Lewis, an African American woman, now age forty, was born to a single mom (who was herself just fifteen years old when she had LaShana) in East St. Louis, Illinois.
“My mom was on welfare, and we lived in public housing. Everyone around us was on welfare. We did not have many resources at home; there were no computers in the schools, which were funded with property taxes.” But Lewis discovered early in life that she “had a knack for fixing things.” So whatever broke around the house—from toasters to sinks—she would repair herself.
Once she hit high school, where they had computers, she dived into the computer science course; she ended up tutoring other students and catching the eye of the teacher, who told her: “You need to go to college and study computers.” She got a scholarship to attend Michigan Tech, but even with the scholarship she did not have enough to support herself and dropped out after three and a half years—without a degree. She would have graduated in 1998.
“So I came back home and tried to get a job in computing, but I was blocked every time,” said Lewis. “People asked if I had graduated, and I would not lie and said ‘no,’ so I got a job driving black kids back and forth to a supplemental tutoring program from the high school I went to in East St. Louis to the local community college. So I am driving the van, and one day the computer science tutor at this tutoring program quits. So they asked me to fill in, which I did. And at the end of the month, I asked if I could do the job full-time and they said, ‘No, you don’t have a degree.’ So after that frustration, I went to a hiring firm and they got me into a help desk.”
She worked at help desks for ten years, helping knuckleheads like me reset their passwords and the like. Her break came while she was working at the help desk at Webster University in St. Louis, when a colleague and faculty member saw just how talented she was. (She was constantly hanging around with the IT team, working as a backup technician.) One day, while Lewis was taking a refresher course on computing at Webster, her professor, who’d learned about a new intelligent assistant—LaunchCode.org—told Lewis to check it out. LaunchCode’s aim is to help “you find the best resources online and in your community to prepare yourself for a job in tech.”
Its promise is: “Don’t sweat your credentials, just show us what you can do. Apply online for a LaunchCode apprenticeship and we will help you grow your skills and passion for tech, while matching you with mentors and providing feedback on your progress. LaunchCode matches you with one of our 500 employer partners for a paid apprenticeship, typically twelve weeks long. Hone your skills on the job, learning from experienced developers. Nine out of ten apprentices are converted to full-time hires.”
Lewis signed on with LaunchCode in June 2014 and was hired by MasterCard in St. Louis as an apprentice in September of that year and promoted to full-time assistant systems engineer by November, helping the credit card company manage its giant server network. In March 2016, she was promoted to systems engineer. And as Lewis told me with a twinkle in her eye, “I still don’t have my BA.” Roughly estimated, there are about thirty-five million LaShana Lewises in America today who started college but never finished.
Imagine how much more productive we could be as a country if we could find ways to value and capture the learning those thirty-five million have. We simply cannot continue with this binary system of degree or no degree, where the key to inclusion is pedigree and not what you actually know and can actually do. The emergence of intelligent algorithms and networks such as LaunchCode, which can be used by employers as trusted validators to sow people into the system and not weed them out of it, holds the promise of unlocking a lot of wasted talent.
Says Lewis: “If you can do the job, you should get the job.” Fortunately, intelligent algorithms and intelligent networks are emerging and enabling a new social contract. There are actually a lot of people who have the skills certain employers are seeking, but may not have the traditional credentials to be appreciated. There are many people who would be happy to learn those skills but don’t have the information on what they are or access to learning platforms, some of which are unconventional and not covered by traditional government loans.
There are employers who have employees with the skills—or the aspiration to acquire the skills—for new jobs, but the employers don’t know who they are or are not currently set up to offer them online training opportunities. And there are schools that are actually great at teaching those skills, but no one knows which schools do that the best. As we develop more intelligent algorithms “to overcome these labor market failures,” argued Byron Auguste, we can put so many more people to work—work better aligned to their talents that contributes more to our economy and society—no matter how many machines and robots are out there. These intelligent algorithms or networks are called “online talent platforms.”" p 232-234
Start reading this book for free: http://a.co/8HqxXXk