Students and teachers in Australasian K-12 classrooms utilise a wide range of computer resources to facilitate the learning process generally and instil 21st Century skills specifically. However, we have very limited understanding of how students use their computer time and whether feedback about the usage can improve learning.
edQuire was installed on students device (with students’ knowledge) and collected into our cloud database, real-time metadata on the computer application and online resources used by students in classrooms. Student computer activities were classified and analysed using an Al-based learning analytics algorithm and delivered to class Teachers a glanceable, colour-coded display showing each student as either On-Task (green) or Off-Task (red).
Using an AI-based learning analytics engine, we classified and analysed educational activities, while providing teachers with a glanceable colour-coded display of each student being either on-assigned task (green) or off-task (red).
The following analysis was conducted using 25,000 student lessons among 500 students across years 7-12. The students came from 4 private self- selected highly motivated schools with 1:1 laptop programs with a roughly equal number of boys and girls.