ICT teacher handbook/Data representation and processing

Chapter Objectives

1. Understanding how to read data in various formats and representations and analyze
2. Understanding methods of data organizing, analysis and representation
3. Processing and representing data in textual, image and numeric formats with spreadsheets, concept maps and text processor
4. Understanding the power of data visualization and how data can be used to hide or reveal information
5. Developing a critical perspective on ownership of data, formats for analysis and presentation

Additional Resources

1. Data visualization
2. Examples of data visualization

Transaction notes for activities

The transaction notes will include the following components. The activities are expected to be cumulative.

1. Time estimate
2. Prior preparation
3. Methodology
4. Discussion questions
5. Instructions for student led activities
6. Subject integration
7. Assessment (portfolio as evidence of digital skills)
8. Student portfolio as learning resources for other students

Data tell stories

1. This activity will take 80 minutes
2. Data sets have to be prepared (in sets of 2 or 3) for each computer/ group of students. A data folder must be created on each computer and the data sets copied.
3. Copy the data folder on the computers. For each data set, make a set of questions for the students to answer after a study of the graph. After the students complete the analysis, encourage them to express the summary of the analysis in the form of a mind map. The following questions can be given to the students for discussion
   1. What are the data elements captured?
   2. Is the data giving your exact numbers or only relative estimation?
   3. What can you conclude from the data?
   4. What are the advantages in each kind of representation? When do you think each method is suited?
   5. What further information on the topic would you like to find out?
4. The data sets can be drawn so as to represent different subjects
5. Rubrics for assessment
   1. Ability to navigate the folder and open the graph/ image
   2. Creating a text document and saving with an appropriate file name

Organizing data to make meaning

1. Time estimate
2. Prior preparation
3. Methodology
4. Discussion questions
5. Subject integration
6. Assessment