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Wednesday, October 19, 2016

Will this be the classroom of 2050? | GovInsider

"Temasek Polytechnic plans to use virtual assistance, facial recognition and data tracking in the classroom." notes .

“We tend to teach the way we were taught”, Tang Ming Fai, Director of Computer and Information Systems at Singapore’s Temasek Polytechnic, tells GovInsider. 

Photo: Tang Ming Fai

But it’s out with the old – teachers now should adapt to the times. The “way we assess and engage students are different”, he says, and teachers must have a “willingness to experiment”.

How is Temasek Polytechnic gearing up for change? We caught up with Tang to find out more.

Facial recognition in classrooms


His team is looking into the use of facial recognition in classes, so lecturers will know when students start losing interest. “We want to see, when the lecturer delivers the lectures, whether the students are paying attention – do they grasp the idea or they show a doubtful face?”, he says. This will help lecturers intercede in their learning journey before exams, which would otherwise be “too late”, Tang says.

The analysis will be anonymised so that individual students’ identities are not revealed. “We do have to respect the students’ privacy”, he asserts. “That means we don’t go down to the individual student to say ‘this person was lost’, or ‘this person smiled’”. Machine learning will crunch out the analysis and give an aggregate review of class emotions. “This way, I feel that the personal privacy is being protected, yet still able to benefit the class and lecturer”.

The school also wants to train teachers to build personalised performance dashboard, so they can track the progress of students efficiently. He wants to give lecturers free reign on how they monitor and analyse data, as they understand their class the best. “We may not build the best dashboard for them, because we do not know the business domain – how they want to monitor or analyse the data”, he says, so instead, the school teaches them “how to fish” by providing them with data sources.

This helps lecturers to intervene in their students’ academic progress. Key metrics can include attendance, for instance. If a student “is not doing well because he has not been attending class, then it has nothing to do with the teaching method”, rather, it is an attitude problem, Tang explains. The school can then engage the student to understand what is wrong. “This helps to break down the problem”.

Further, Tang’s team is keen to roll out virtual assistants to serve students and staff. “We try to have a lot of answers, and then anticipate what you ask and offer you the best answer”, he says. This can be used in libraries, and to answer public queries; and services can range from online to voice platforms.
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Source: GovInsider


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