Speech recognition in education: The powers and perils

Digital sound waves - voice patterns

Weighing up the huge potential of voice recognition technology to gain insights into children’s language and reading development, against a difference of 16% in misidentified words between white and black voices.

Can computers ever replace the classroom?

child on a computer

This article considers the various ways AI can be used during the pandemic to boost virtual learning, focusing on Chinese company Squirrel AI who are reporting good results with computer tutors and personalised learning, and weighing up the risks, such as surveillance of Muslim Uighurs in Xinjiang.

In Hong Kong, this AI Reads children’s emotions as they learn…

Child's face with key features outlined by dots

Facial recognition AI, combined with other AI assessment, is used to spot how children are performing and boost their performance. However, there is concern that it may not work so well for students with non-Chinese ethnicities who were not part of the training data.

Student Predictions & Protections: Algorithm Bias in AI-Based Learning

A stylised image of a brain

This short article gives an example of how predictive algorithms can penalise underrepresented groups of people. In this example, students from Guam had their pass rate underestimated versus other nationalities, because of the low number of students in the data set used to build the prediction model, resulting in insufficient accuracy.

Inbuilt biases and the problem of algorithms

young boy walking down a library aisle

This article details the algorithm used to inform A Level results for students who could not take exams due to the 2020 pandemic. The algorithm took into account the postcode of the student, which meant that students from lower income areas were more likely to have their grade reduced whilst students in high-income areas were […]