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Visualising data (week 5)

During the week, we collected responses to the surveys we had created in week 4. Then, in the workshop we began to process the responses and thinking about how we could visualise the data to make it easier to exhibit the responses. In our 'role' as a third party who were to collect information about students' AI usage for the university, we had to think about the best way to visualise the data for them. As well as what they would most want to know from the responses in order to, as we had decided was the role of the survey, help them understand how to help students most.

Microsoft forms presents the responses to the survey questions in what itthinks is the best way to display the data.
However, this isn't always the best way to interpret the responses or isn't the best way for our hypothetical audience (the university).

We experimented with using an array of graphs to exhibit our answers.
When we reached this stage and saw our data in this visual way, we realised we perhaps had not asked the best questions to fit this format. If we were to conduct the survey again, I would alter the questions to be more binary questions as this is easier to read in a graph form. Also, I would ask more specific questions to get a better idea of the audience/participants. For example, we asked if they were international students or not.

This information would allow the university to see if a larger proportion of international students were using AI tools but this wouldn't help them to understand why. Instead, we should have asked the participants to state their home country, this would then help to pinpoint if people who didn't have English as a first language were more likely to use these tools to help their studies.

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