Educational aspects of crowdsourced noise mapping

Abstract

Examined here is a project-based method for integrating of crowdsourced noise mapping in the teaching of geoinformatics. Practical examples of a GIS course are designed to use crowdsourced noise measurements in the curricula. The approach showed students how GIS integrates data acquisition, processing, analyses and visualization. Implementing noise measurement tasks in the curricula also helped students gain skills in detecting and resolving errors. The teacher acts as a mentor during the classes in order to help students acquire knowledge in a way that best suits them. A project like this is helpful because it makes the problem easily understandable and offers several cartographic visualization methods that the students can test and compare in practice. In addition, we found that the quality and the accuracy of students’ performance improved during the semester. The students share their knowledge and their experiences. They also learn to cooperate because the success of their project is dependent on the collective work of each student. The most recent methods are presented to the students during the whole working process and lets them discover good and bad solutions.