From next year, the platform will become
one of the first examples of artificial intelligence (AI) software. Together
with scientists at University College London (UCL), the company has analysed
around 100,000 hours of audio and written data from its tutorials, with the
goal of identifying what makes a good teacher and a successful lesson.
Pupils on the programme have a 45-minute
session with the same tutor each week. They communicate through a headset and a
shared “whiteboard”. The lessons at Pakeman school are individual. In addition to the raw audio data, each lesson has various success
metrics attached: how many problems completed, how useful the pupil found the
session, how the tutor rated it.
An early analysis found that when tutors
speak too quickly, the pupil is more likely to lose interest. Leaving
sufficient time for the child to respond or pose their own questions was also
found to be a factor in the lesson’s success. As the technology evolves, the
interventions could become more sophisticated.
This is a great step for the new technologies and this innovation can help a lot of students to develop his virtues. But it is true that all these things can cause negative developments, such as the the contact of the student and the virtual teacher can be more cold and distant.
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