Data underlying the MSc thesis: Using LLMs for support in high school programming education

DOI:10.4121/e947292a-bc0f-4da1-a160-58a7f4a49953.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/e947292a-bc0f-4da1-a160-58a7f4a49953

Datacite citation style

van der Velden, Thom; Valle Torre, Manuel; Specht, Marcus (2025): Data underlying the MSc thesis: Using LLMs for support in high school programming education. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e947292a-bc0f-4da1-a160-58a7f4a49953.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Included is the dataset for my master thesis research. The goal of our research was to find out how AI in the classroom and the learning of students influences each other. We researched this by looking at questions students asked to our chatbot Juno and correlated this with for example their exam grades. The dataset contains questions students asked the chatbot before and after our intervention, our predictions of those questions and the codes that we used for those questions. Data collection was approved by the human research ethics committee.

History

  • 2025-06-30 first online, published, posted

Publisher

4TU.ResearchData

Format

csv, xlsx

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science

DATA

Files (5)