Just as sensor technologies are deeply impacting engineering and scientific practices, so too are they increasingly becoming integrated in educational settings to support innovative learning activities. The growing availability of low-cost, portable sensors can be deployed to collect real-time measurements of properties from the surrounding world, for example light, temperature, magnetism, acceleration, sound, and CO2. When coupled with microcontrollers (such as the micro:bit), sensor data streams can be easily programmed to control the behaviors of actuators and data displays, thereby making the invisible visible, inspectable, and actionable.
This Special Issue will provide a forum for describing innovative approaches to using programmable sensor technologies in a range of educational settings.
Papers are solicited on the general theme of this issue. Topics of interest include, but are not limited to:
Reviewing the use of sensor technology in education settings;
Describing the development of science and data science instructional materials that integrate sensor technology;
Investigating how students engage in authentic scientific practices through exploring phenomena using sensor technology;
Describing the development of real-time data displays of sensor data streams to support learning;
Supporting the development of students’ computational thinking in sensor-based instructional materials; and
Describing the development of physical computing learning environments integrating sensor technology.
Prof. Dr. Mimi Recker
Dr. Colin Hennessy Elliott
Dr. Quentin Biddy