IBM and Sesame Workshop, the nonprofit educational organization that produces Sesame Street, have announced they will be partnering to help advance preschool education around the world. The three-year agreement will involve using IBM Watson’s cognitive computing technology paired with Sesame Workshop’s early childhood expertise.
The two companies will develop educational products and platforms that adapt to learning preferences of individual preschoolers during a time when a significant extent of brain development occurs, opening a critical window for learning and development. With over 45 years of research, and more than 1,000 completed studies, Sesame Workshop’s expertise when combined with Watson’s natural language processing, pattern recognition, and other cognitive computing technologies will create highly personalized learning experiences. These experiences are meant to complement the role that parents and teachers play in early development.
“We believe that bringing education together with technology is a key to improving early learning in this country and around the world,” said Jeffrey D. Dunn, CEO of Sesame Workshop. “A generation ago, Sesame Street used the ubiquitous presence of television to reach vulnerable children who did not have access to the learning opportunities that affluent and middle-class kids did. It worked very well. Now, through this collaboration with IBM and Watson, we expect to develop the next generation of tailored learning tools. Ultimately, the goal is to provide children from all socio-economic backgrounds with the opportunity for meaningful, personalized education in their most formative years.”
After all, as IBM says, “C” is for cognitive learning.
What do you think about the IBM and Sesame Workshop’s partnership? Let us know in the comments below, or on Google+, Twitter, or Facebook.[button link=”http://www.ibm.com/internet-of-things/sesame-street.html” icon=”fa-external-link” side=”left” target=”blank” color=”285b5e” textcolor=”ffffff”]Source: IBM[/button]
Last Updated on April 27, 2016.