The system automatically registers attendance without disturbing the class. It uses an iBeacon in each classroom to determine location. It also uses a camera and deep learning analysis to prevent students cheating the system by having someone else attend. The researchers say the system is better than biometric scanning and RFID that requires manual reading one by one.
The solution uses iBeacons but it’s the Bluetooth MAC address that’s used for room identification. The scanner and camera interface uses a Raspberry Pi that sends data to a server.
The paper provides a great introduction to beacons and explores topics such as learning mediated through non-human agents and studio-based learning. It includes results of a study into how and where students prefer to work.
An ‘intervention’ as they call it, used beacons to provide more more timely information about the technical aspects of courses. This resulted in students feeling closer and more connected to tutors leading to increased efficiency and interaction.
The paper discusses place-based science learning in the context of an arboretum. It describes the use of beacons for informal learning, place-based learning, and context-sensitive educational technologies. Content was delivered in the arboretum with question prompts and activities so as to encourage deeper learning of plants
The paper says it has:
“insights into designing for learner-centered mobile computing that moves beyond presenting just-in-time information to creating digital-physical spaces where learners engage each other and natural objects to support their interests in science.”
“Beyond presenting just-in-time information” is an interesting aspect in that it can be just as applicable to other beacon usecases.