Technologies
Technologies
Technology in science refers to the tools, instruments, and methods used to collect and analyse data. You need to understand how technologies extend human senses and improve accuracy. Examples include telescopes, microscopes, sensors, and data-loggers. Technologies can reduce human error but may introduce their own errors (e.g., calibration issues). The development of new technologies often leads to scientific discoveries (e.g., the microscope led to cell theory).
Traps: Questions may ask about the difference between accuracy and precision. Accuracy is closeness to the true value; precision is closeness of repeated measurements. A common trap is assuming high-tech instruments are always accurate; they require calibration. Also, be careful with the term 'technology'-it includes both hardware and software.
Worked example: A student uses a data-logger to measure temperature every minute. The logger is precise (readings consistent) but may be inaccurate if not calibrated. To improve accuracy, calibrate against a known standard. To improve precision, take multiple readings and average.
Rule of thumb: Technology improves data collection but must be validated.
Key points
- Technology extends senses and improves data collection.
- Accuracy vs precision
- Calibration is essential
- Technology can introduce new errors
- Technological advances drive scientific discovery