Activity 2: Application on new dataset

Preparatory work (before class)

Identify a dataset similar to the one in the digital learning module you are discussing in class, making sure it is relatively short (e.g. half a page of text; 2-3 social media posts; 1 print advert, etc.). 

We recommend using the same guiding questions from the digital learning module's practical activity. 

Print enough copies of the dataset and bring them to class (or find alternative online delivery, e.g. Powerpoint slides). 

Prepare a Padlet for students to report the results of their group work.  

• An online reporting tool such as Padlet enables peer-learning, while also minimizing the time required for each group to go over their results. 

During class (50 min)

10 min - Introduce the new dataset and the purpose of the class activity.

• Explicitly link to learning objectives 3 and 4 above. 

• Let students form small working groups (2-3 students per group). 

• Optional: Print guiding questions for analysis or exhibit them on a slide during class. 

20 min - Group work

• Students perform the data analysis. 

• Walk around the classroom and take note of their uncertainties, questions, struggles, etc. 

• Select 2-3 of these for further discussion. 

• Students report the results via Padlet or equivalent. 

20 min - Discussion

• Lead the discussion of student output, focusing on strengths and weaknesses of their analysis. 

• Point out to good applications of the analysis tool, explaining what makes it good. 

• Point out to elements of analysis that need more explanation. 

• Conclude the discussion by returning to the notes you made while walking around in the classroom: the aim here is to reassure students that such struggles, anxieties, etc. are a natural part of the analysis process.