Data from JELAI usage at high school, learning Python through an online environment.

DOI:10.4121/f58218d5-6179-42f9-9f7a-892e1936b4eb.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/f58218d5-6179-42f9-9f7a-892e1936b4eb

Datacite citation style

Risseeuw, Stijn; Valle Torre, Manuel (2025): Data from JELAI usage at high school, learning Python through an online environment. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/f58218d5-6179-42f9-9f7a-892e1936b4eb.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset was collected using Jelai (https://doi.org/10.1007/978-3-031-98465-5_9) in a high-school setting. Students learned Python through an online environment in which they could ask a chatbot questions related to the course material. The purpose of the study was to investigate how the way students formulate questions to a chatbot influences their learning outcomes.


Ethical approval for the study was obtained from the Human Research Ethics Committee of TU Delft.


To protect participant privacy, XML-style placeholder tags were used to anonymize names and other identifiable information.


This dataset was collected as part of my Computer Science and Engineering Honours project.


The dataset includes all code edits, program executions (categorized into output and error), chatbot messages, and the students’ final grades. Each file records a different aspect of the interaction between students, the coding environment, and the chatbot.

History

  • 2025-11-14 first online, published, posted

Publisher

4TU.ResearchData

Format

csv

Organizations

TU Delft, Electrical Engineering, Mathematics and Computer Science

DATA

Files (8)