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    21 st
                                                                                               Century   #Information Literacy
                                                     experiential learning activity            Skills

                       Collect and record weather data over the course of one month to understand the process of data
                       collection and analysis. Track weather data such as temperature, humidity and wind speed over a one-
                       month period. Each day, record the following:
                         Maximum temperature

                         Minimum temperature

                         Average temperature
                       Data can be gathered either by using a weather app or website or by manually observing and recording
                        the information in an Excel spreadsheet.

                      Model Development and Training

                      After completing data collection and data preparation, the next step in the AI project life cycle
                      is Model Development and Training. In this stage, an AI model is designed and built to solve the
                      problem identified earlier. The prepared data is then used to train the model so that it can learn
                      patterns, relationships and trends within the data.

                      An AI model works like the brain of the system. It analyses the input data, identifies meaningful

                      patterns and learns from examples. Once the learning process is complete, the model can use
                      this knowledge to make predictions, classify data or support decision-making.
                      This process is similar to how humans learn. For example, when students practice solving different

                      types of questions, they gradually understand patterns and improve their performance. In the
                      same way, an AI model learns from large amounts of data and improves over time.

                      For example,

                      Predicting Student Gadget Screen Time

                      Let us take the Gadget Screen Time example. The goal is to predict whether a student has high or
                      low screen time.
                      The AI model will learn using the following data:

                         Student        Gadget        Screen          Sleep       Outdoor       Academic        Screen
                                         Type           Time         Hours         Activity       Score       Time Level

                        Student 1          1             5              6            30             65             1

                        Student 2          3              2             9            60             80             0

                        Student 3          2              4             7            45             70             1
                        Student 4          3             1.5            8            90             85             0

                      20         Artificial Intelligence (CT & AI)-VIII

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