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

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.<br>Ethical approval for the study was obtained from the Human Research Ethics Committee of TU Delft.<br>To protect participant privacy, XML-style placeholder tags were used to anonymize names and other identifiable information.<br>This dataset was collected as part of my Computer Science and Engineering Honours project.<br>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.