Page 13 - AI Ver 1.0 Class 9
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UNIT SUB-UNIT LeARNING OuTCOmeS SESSION / ACTIVITY / PRACTICAL
Possibilities To research and develop awareness of Session: Theme-based research and Case Studies
skills required for jobs of the future. • Learners will listen to various case-studies of inspiring start-ups, companies or
To imagine, examine and reflect on communities where AI has been involved in real-life.
the skills required for the futuristic
opportunities. • Learners will be allotted a theme around which they need to search for present AI
trends and have to visualise the future of AI in and around their respective theme.
To develop effective communication
and collaborative work skills.
Recommended Activity: Job Ad Creating activity
• Learners to create a job advertisement for a firm describing the nature of job
available and the skill-set required for it 10 years down the line. They need to
figure out how AI is going to transform the nature of jobs and create the Ad
accordingly.
AI Ethics To understand and reflect on the Video Session: Discussing about AI Ethics
ethical issues around AI. Recommended Activity: Ethics Awareness
• Students play the role of major stakeholders and they have to decide what is
ethical and what is not for a given scenario.
To gain awareness around AI bias and Session: AI Bias and AI Access
AI access. • Discussing about the possible bias in data collection
• Discussing about the implications of AI technology
To let the students analyse the
advantages and disadvantages of Recommended Activity: Balloon Debate
Artificial Intelligence. • Students divide in teams of 3 and 2 teams are given same theme. One team goes
in affirmation to AI for their section while the other one goes against it.
• They have to come up with their points as to why AI is beneficial/harmful for the
society
Identify the AI Project Cycle Session: Introduction to AI Project Cycle
framework. • Problem Scoping
• Data Acquisition
• Data Exploration
• Modelling
• Evaluation
Learn problem scoping and ways to Activity: Brainstorm around the theme provided and set a goal for the AI project.
set goals for an AI project. • Discuss various topics within the given theme and select one.
• List down/Draw a mind map of problems related to the selected topic and choose
one problem to be the goal for the project.
Identify stakeholders involved in the
problem scoped. Activity: To set actions around the goal.
Brainstorm on the ethical issues • List down the stakeholders involved in the problem.
• Search on the current actions taken to solve this problem.
AI PROJECT CYCLE Scoping selected. • Where can you get the data?
around
involved
problem
the
Problem
• Think around the ethics involved in the goal of your project.
Understand the iterative nature of Activity: Data and Analysis
problem scoping for in the AI project • What are the data features needed?
cycle.
Foresee the kind of data required and
• What happens if you don’t have enough data?
the kind of analysis to be done. • How frequent do you have to collect the data?
• What kind of analysis needs to be done?
• How will it be validated?
• How does the analysis inform the action?
Share what the students have Presentation: Presenting the goal, actions and data.
discussed so far.
Identify data requirements and find Activity: Introduction to data and its types.
Data
Acquisition reliable sources to obtain relevant • Students work around the scenarios given to them and think of ways to acquire
data.
data.
To understand the purpose of Data Session: Data Visualisation
Data Visualisation • Need of visualising data
exploration • Ways to visualise data using various types of graphical tools.
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