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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