Disciplinary Intuitions offers an elegant way to align several strands of interest to learners and educators today, such as maker culture, STEM, and an increasing emphasis on field-based studies.
The video above shows one such example, of how open-source hardware (such as Raspberry Pi and Arduino) can be used to help surface learners' intuitions about their local environments. The hardware serve as sensor nodes (or motes) with which micro-climatic data can be collected.
Through the collation and representation of such data from within environments already familiar to the learners, analyses are more authentic to them and understanding is more enduring.
if you would like to find out more about our programme, i will be presenting a paper at the 1st International Symposium on Human Factors in Training, Education, and Learning Sciences in July.