Page 12 - Artificial Intellegence_v2.0_Class_9
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UNIT    SUB-UNIT     LEARNING OUTCOMES                      SESSION / ACTIVITY / PRACTICAL
                           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   • Learners will be allotted a theme around which they need to search for present AI trends
                  Possibilities  opportunities.        and have to visualise the future of AI in and around their respective theme.
                           To  develop  effective  communication   Recommended Activity: Job Ad Creating activity
                           and collaborative work skills.    • 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
             AI PROJECT CYCLE  To  understand  and  reflect  on  the  Video Session: Discussing about AI Ethics
                                                       to transform the nature of jobs and create the Ad accordingly.
                           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.
                                                        • Students  to  explore  Moral  Machine  (https://www.moralmachine.net/)  to  understand
                                                       more about the impact of ethical concerns.
                  AI Ethics  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  Recommended Activity: Balloon Debate
                           advantages  and  disadvantages  of   • Students divide in teams of 3 and 2 teams are given same theme. One team goes in
                           Artificial Intelligence.    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 set  Activity: Brainstorm around the theme provided and set a goal for the AI project.
                           goals for an AI project.     • Discuss various topics within the given theme and select one.
                                                        • Fill  in  the  4Ws  problem  canvas  and  a  problem  statement  to  learn  more  about  the
                                                       problem identified in the community/society.
                                                        • 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  Activity: To set actions around the goal.
                  Problem   problem scoped.             • List down the stakeholders involved in the problem.
                   Scoping  Brainstorm  on  the  ethical  issues   • Search on the current actions taken to solve this problem.

                           involved around the problem selected. • 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?  • How will the features collected affect the problem?
                           cycle.                       • Where can you get the data?   •  How frequent do you have to collect the data?
                           Foresee the kind of data required and   • What happens if you don’t have enough data?
                           the kind of analysis to be done.    • 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.
             AI PROJECT CYCLE  Data   Identify  data  requirements  and  find  Activity: Introduction to data and its types.
                           discussed so far.
                                                     Teamwork Activity:
                                                        • Brainstorming solutions for the problem statement.
                           reliable  sources  to  obtain  relevant   • Students work around the scenarios given to them and think of ways to acquire data.
                                                     Activity: Data Features
                           data.
                 Acquisition
                                                        • Identifying the possible data features affecting the problem.
                                                     Activity: System Maps
                                                        • Creating system maps considering data features identified.
                           To  understand  the  purpose  of  Data  Session: Data Visualisation
                           Visualisation                • Need of visualising data
                                                        • Ways to visualise data using various types of graphical tools.
                                                        • Quiz Time
                           Use various types of graphs to visualise  Recommended Activities: Let’s use Graphical Tools
                    Data   acquired data.               • Selecting an appropriate graphical format and presenting the graph sketched.
                 Exploration                            • Understanding graphs using ( https://datavizcatalogue.com/ )
                                                        • Listing of newly learnt data visualization techniques.
                                                        • Top 10 Song Prediction: Identify the data features, collect the data and convert into
                                                       graphical representation.
                                                        • Collect and store data in a spreadsheet and create some graphical representations to
                                                       understand the data effectively.
                           Understand  modeling  (Rule-based  &  Session: Modeling
                           Learning-based)              • Introduction to modeling and types of models (Rule-based & Learning-based)
                                                     Recommended Activity: Rule-based & Learning-based)
                  Modelling                             • Rule-based: Students can be asked to create text to speech bot using
                                                       (https://theaiplayground.com/blocks/new)
                                                        • Learning-based Activity: Students can be asked to use
                                                       (https://teachablemachine.withgoogle.com/)


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