DATA HANDLING

As part of our Integrating Global Citizenship Education in Mathematics program, we invite students to watch a powerful YouTube video that highlights the pressing issue of hunger and poverty affecting children worldwide. This video serves as an eye-opening resource, offering a stark glimpse into the daily struggles faced by millions of children who lack access to adequate food and basic necessities.

In this lesson, students will watch a video that teaches them how to interpret pie charts, using examples related to global citizenship education. The video will explain the components of a pie chart, how to read and analyze data segments, and the importance of visual data representation.

Please watch the entire lesson video before attempting to answer the questions in the Quiz corner. 

This video provides a comprehensive overview of earth pollution, examining its causes, effects, and solutions. It features stunning visuals and real-world footage to illustrate various types of pollution, including air, water, and soil pollution. Students will learn about the major sources of pollution, its impact on ecosystems and human health, and the global efforts underway to combat environmental degradation. The video also highlights practical steps individuals and communities can take to reduce their environmental footprint.

In this lesson, students will watch a video that explains measures of central tendency (mean, median, and mode) using examples related to global citizenship education on pollution. The video will demonstrate how to calculate and interpret these statistical measures through real-world pollution data.

This lesson aims to introduce students to the concepts of global citizenship and peace education, encouraging them to understand their role in promoting peace and coexistence in a diverse world. The lesson will include watching a YouTube video on the topic, followed by discussions and activities to reinforce the learning objectives.

In this lesson, students will learn to solve problems by handling and interpreting data. They will explore various methods for collecting, organizing, and presenting data, as well as techniques for analyzing data to draw meaningful conclusions. Through hands-on activities and real-life examples, students will enhance their skills in data management, representation (such as bar graphs, and pie charts), and critical thinking. This lesson aims to equip students with essential tools for making data-driven decisions in both academic and everyday contexts