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Experiments and observations: In this method, data is collected by directly observing
events or conducting experiments.
IoT sensors and smart devices: Smart devices such as wearables, temperature sensors
and cameras collect real-time data automatically.
Marketing campaigns and feedback forms: Companies collect customer responses
through feedback forms or promotional campaigns.
Secondary data sources: Secondary data refers to data that has already been collected,
processed and stored by someone else. This data is easily available and helps save time and
cost. Secondary data is useful when existing information is sufficient for analysis.
Common sources of secondary data include:
Books, journals and research papers: Academic publications provide reliable and
structured information.
Websites and online databases: Many organisations provide open datasets online.
Some examples include Government websites, Research platforms, Public datasets, etc.
These platforms provide data related to population, economy, health and education.
Historical records: These include past data stored in files, reports or records.
For example:
In this stage, data is collected from students:
Gadget Type (Mobile/Tablet/Laptop)
Daily Screen Time (hours)
Sleep Hours
Outdoor Activity Time
Academic Score
Screen Time Level (High/Low)
Student Gadget Screen Sleep Outdoor Academic Screen
Type Time Hours Activity Score Time Level
Student 1 Mobile 5 hrs 6 30 min 65 High
Student 2 Laptop 2 hrs 9 1 hr 80 Low
Student 3 Tablet 4 hrs 7 45 min 70 H
Student 4 Laptop 1.5 hrs 8 1.5 hr 85 L
Student 5 Mobile 4 hrs 6 1 hr - High
16 Artificial Intelligence (CT & AI)-VIII

