Translate to multiple languages

Subscribe to my Email updates

https://feedburner.google.com/fb/a/mailverify?uri=helgeScherlundelearning
Enjoy what you've read, make sure you subscribe to my Email Updates

Wednesday, February 19, 2020

Machine Learning in the Classroom: Promising, but Uncertain | Business & Technology - The Bull and Bear

While AI and other technological advancements have disrupted and transformed many industries – from ride sharing to warehousing – many areas remain untouched and largely dated by Reid Stimpson, Author at The Bull & Bear.
 
Photo: CiscoRoom

A prime example of this is in the education space. While the amount of technology used in the classroom has risen drastically, the fundamental concept of classroom learning has not. Visionaries see the future of education changing, and hopefully improving, through the application of artificial intelligence to enhance or replace traditional learning methods.

A promising start to the technological revolution of education is located in the heart of Montreal. Korbit AI is a venture-backed startup focused on creating an effective tutor that is powered by machine learning to give each student a personalized experience. The aim is to provide students access to high quality learning materials, making the process efficient by tailoring it to the student’s individual needs. By applying artificial intelligence, the costs of such a customized program wouldn’t necessarily have to be very high. Private tutors can cost anywhere from $25 up to $80 and even higher. However, a virtual tutor powered by code could be applied to an endless amount of students and once and drive these costs even lower. While Korbit remains an early stage company, over 2 million dollars of seed funding has guaranteed them a shot at revolutionizing the education and tutoring space...

...Korbit AI exemplifies these ideals well, hoping to offer free courses in public health and climate change using their technology. So long as the end result is improving education quality, there’s no harm in trying. 
Read more...  

Source: The Bull and Bear