%0 Generic
%A Risseeuw, Stijn
%A Valle Torre, Manuel
%D 2025
%T Data from JELAI usage at high school, learning Python through an online environment.
%U 
%R 10.4121/f58218d5-6179-42f9-9f7a-892e1936b4eb.v1
%K Educational Technology
%K High school
%K Large Language Models
%K Programming
%K education
%X <p>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.</p><p><br></p><p>Ethical approval for the study was obtained from the Human Research Ethics Committee of TU Delft.</p><p><br></p><p>To protect participant privacy, XML-style placeholder tags were used to anonymize names and other identifiable information.</p><p><br></p><p>This dataset was collected as part of my Computer Science and Engineering Honours project.</p><p><br></p><p>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.</p>
%I 4TU.ResearchData