Experts say the move toward a personalized learning system like Teach to One 360 is long overdue
September 29, 2020
By The New York Times
Seventh grader Nina Mones, a student at Phoenix International Academy, initially struggled with math but new initiatives are helping her flourish. (Photo Credit: Caitlin O’Hara for The New York Times)
Computer algorithms and machine learning are helping students succeed in math. Some experts see such efforts as a crucial next step in education.
By Janet Morrissey, The New York Times
When 12-year-old Nina Mones was in sixth grade last year, she struggled to keep up with her math class, getting stuck on improper fractions. And as the teacher pushed ahead with new lessons, she fell further and further behind.
Then in the fall of 2019, her charter school, the Phoenix International Academy in Phoenix, brought in a program called Teach to One 360, which uses computer algorithms and machine learning to offer daily math instruction tailored to each student. Nina, now in seventh grade, flourished.
“I’m in between seventh- and eighth-grade math now,” she said, proudly. “It gave me more confidence in myself.” And when the coronavirus shutdown occurred, she said, her studies continued uninterrupted, thanks to the program’s online portal.
“This is a model for personalized learning,” said Sheldon H. Jacobson, professor of computer science at the University of Illinois at Urbana-Champaign and a risk assessment public policy consultant.
The move toward a tech-driven, personalized learning system, like Teach to One 360 from a nonprofit called New Classrooms, is long overdue, experts say. Other industries, such as health care and entertainment, have been shifting in this direction for years. Personalized medicine, for example, looks at DNA biomarkers and personal characteristics to map out a patient’s most effective treatment, Professor Jacobson said.
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