The date for the last training session of the DataLiterate project is approaching, which will take place next Friday, April 8.
Over the past few months, four AESG teachers have actively participated in the training by doing autonomous work and attending synchronous sessions.
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.
In module 2, entitled Understanding your data, you will learn the various formats in which the data can be made available and the best way to work with it, as well as the various licenses for using the data. In addition, you learn the basic structure for viewing information properly and how to avoid misleading graphical representations.
In module 3, Learning and Teaching analytics, you will learn that 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 also 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 is the name of module 4, in which you will learn how to communicate knowledge visually by planning what is important to visualize and different strategies and techniques for visualizing information. There will also be a more practical approach to lesson planning with the additional presentation of a list of different data visualization tools to support online lessons.
With module 5, Educational Data, 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.
Finally, we will have module 6, Draft your DDL plans, where you learn, in five steps, how best to draft Digital Data Literacy Plans to apply in the classroom. A best practice example is also provided for reference.
At this moment, all the teachers at the Sebastião da Gama School Grouping (AESG) have already completed modules 1 to 5, have submitted their Lesson Plans, and are in different stages of implementing their Digital Data Literacy Plans, according to the needs and specificities of each class’s curriculum.