Page 28 - CT_AI_Class-8

21 st
Century #Technology Literacy
ai in action Skills

AI for Oceans is an interactive learning game developed by Code.org that helps users understand how
Artificial Intelligence works. In this game, the AI system is trained to identify sea animals and ocean trash. A. Tick ( ) the correct option.
As more examples are provided, the AI improves its predictions and makes better decisions. This game 1. Select the correct statement about Artificial Intelligence.

introduces the AI Project Lifecycle in a simple and engaging way.
a) AI cannot learn b) AI follows only instructions
The main goal of the game is to train AI to clean the ocean. It helps the AI system learn to:
c) AI learns from data d) AI cannot make decisions
 Identify sea animals
2. Identify the stage in which data is cleaned and organised.
 Recognise trash
a) Model Training b) Data Collection and Preparation
 Improve predictions over time

 Make smarter decisions c) Model Deployment d) Monitoring
To play the game, visit the given link OR scan the QR code: 3. Which of the following is an example of primary data collection?

https://studio.code.org/courses/oceans/units/1/lessons/1/levels/1 a) Research papers b) Surveys and interviews
This game is a great way to understand how AI learns from data, improves accuracy and follows the
stages of the AI Project Lifecycle. c) Government reports d) Books

4. Select the stage where AI model is used in real-world applications.
a) Data Preparation b) Model Deployment

c) Model Training d) Problem Definition

Artificial Intelligence refers to human-made intelligence that allows machines to think, learn 5. Mark the stage that comes after defining the problem.
and behave in a smart manner. a) Model Deployment b) Data Collection and Preparation
AI systems use data to recognise trends, understand relationships and generate useful insights.
c) Monitoring d) Model Evaluation
An AI project is a planned way of developing a smart system that can learn from data and
solve real-life problems.
B. Fill in the blanks using the given hints:
The AI project cycle is a step-by-step guide used to plan, build and apply AI solutions. Hints
1. Artificial Intelligence is a branch of science.
Data collection is a structured and systematic process of gathering information from various Test
sources such as observations, measurements, surveys and existing records. 2. Pattern recognition helps AI identify and similarities.
Relationship
Primary data is collected directly from the original source for a specific purpose. 3. Data collected from websites and journals is called data. Secondary
Secondary data refers to data that has already been collected, processed and stored by Monitor
someone else. 4. New data used to test the model is called data. Computer

Data cleaning involves removing errors and improving data quality. 5. After deployment, the AI system is continuously .
Data formatting involves organising data in a structured and consistent format so that it can
be easily analysed. C. Write ‘T’ for true and ‘F’ for false.
Data labelling involves assigning meaningful categories or tags to the data. 1. Artificial Intelligence can recognise images and objects.
Monitoring means continuously checking the performance of the AI system. 2. AI is used in agriculture to monitor crops.

3. Model training happens before data preparation.

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