Educators training course contents
The training course consists in a MOOC, free, online and available for all. This course was tested by the schools partnering in Data Literate project. The MOOC can be reused by anyone for any purpose.
What is Data Literacy?
In this module you will learn what data is and its difference with opinions, which helps us at highlighting how data cannot be neutral. Moreover, you will discover the importance of fact checking and data verification in order to critically assess data. Eventually we are going to learn where to find data, exploring resources and techniques.
Understanding your data
When working with data, it is essential to approach the topics of format and licenses. What is the best format to handle data? What data can we reuse and under what terms? Understanding data means also understanding how data is visually represented: you will learn the basic structure of a data visualization and what are misleading graphs and how to avoid them.
Learning and Teaching analytics
Performing data analysis can give us interesting insights. Before delving into analytics, it is crucial to understand the key role of the data cleansing process. In this module, you will learn how to clean your data and why you should do it, and how to plot and calculate basic statistics together with some tips and tricks to analyse data.
Explore data literacy resources already available
In this module you will learn how to communicate your insights with data visualization. We will start from the basics of planning a dataviz and explore different visual strategies together with a few tips to design accessible and respectful data visualizations. Eventually we will move from planning to crafting: a list of different tools for visualizing data and to support online classes will be presented.
It is now time to dig deeper into the relationship between data and teaching in order to highlight how achieving data literacy can best inform teaching while significantly supporting the learning process. Starting from some definitions and conceptual frameworks, we will then discover what managing student data means in practice through a case study and a practical exercise.
Draft your DDL Plans
In the final module you will go through five steps to design a Digital Data Literacy plan for your students and you will also find an example of good practice for reference.