Data logging is the process of using a computer to collect data through sensors, analyze the data and save and output the results of the collection and analysis. Data logging also implies the control of how the computer collects and analyzes the data. Data logging is commonly used in scientific experiments and in monitoring systems where there is the need to collect information faster than a human can possibly collect the information and in cases where accuracy is essential. Examples of the types of information a data logging system can collect include temperatures, sound frequencies, vibrations, times, light intensities, electrical currents, pressure and changes in states of matter.
Advantages of Data Logging
- Better understanding of scientific experimentation.
- More collegial collaboration opportunities.
- Greater interest in practical work.
- Enhanced computer literacy.
- Better understanding of science concept.
- Better graphing skills.
- Opportunities for interdisciplinary projects.
- New innovative experiments possible.
Disadvantages of Data Logging
- Unlike-able with computer system.
- Students can't relate science concepts and theory.
- Increase work load of teachers.
- Reduce practice of graphing skills.
- Loss of conventional methods of data collection.
The Phases in Data Logging
Engage
- give the idea
- make a question
- give the situation
Empower
- planning and doing the experiment
- discussion on the experiment
Enhanced
- how to improve things by the product(experiment)
Extension
- gives another problems related to the concepts
- find new technologies
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