Findings

Last updated: 2 November 2023

Cohort: Autumn Term 2023/24

In the first three weeks of the Autumn Term 2023/24, we promoted the study in our courses, during lectures¹, Moodle e-mails, and via e-mail. Students had to opt-in to participate in the study by filling out an Initial Survey².

Note

Our study focuses on courses centred around quantitative subjects, specifically data science³, where computer programming is a central component. It is implausible that we will have much authority to make generalisations about the undergraduate student population at LSE or the UK. However, we hope our findings will still be helpful to the academic and teaching community at LSE and beyond.

What courses are the participants taking?

How much programming experience do the participants have?

How familiar were they with generative AI tools before the study?

Have they used generative AI tools with the intent of learning something?

If so, how helpful did they find the tools?

Perception of Usefulness

🚧 We are currently working on analysing the chat logs and weekly surveys. We will update this page as soon as we have some findings to share. 🚧

In the meantime, check out our 📝 Methodology page.

Footnotes

1. Visit the DS202 course website to see how promoted the study in lectures (slides 33-36).

2. See what we asked in the 📋 Opt-in Survey.

3. Read more about the participating courses on the 📚 Case Studies page.