6. Data logging

The focus of this optional module is on the integration of ICT in the natural science subjects with the use of data logging.

Data logging can support a number of science-related objectives. In this module you will get acquainted with both hardware-related issues and possibilites and some of the pedagogical aspects of using data logging in your teaching.

There is a wide range of specialised applications and different types of hardware that can be used for data logging purposes. The important point, though, is not what application or piece of data logging hardware you use; the important point is that you consider what you want the students to learn from using data logging equipment in your classes, and how you think the students might learn those things.

Data logging - or data collection - is the process of collecting data. The data collected may be used by the students in a number of ways: They may perform calculations on the basis of the data or interpret in relation to hypotheses etc.

Data logging is the process of collecting data, whereas the datalogger is a piece of hardware with which the actual collection of data is carried out.

There are many different types of dataloggers, but common to all is their ability to collect different types of data over a period of time. Most dataloggers can transfer the data to a computer, which can then be used to process the data in various ways, e.g. create graphic representations of the data collected.