Research Dataset and Supplementary Materials for "Students' Use of Large Language Models in Challenge-Based Learning Mobile App Development Education: Findings from Reflective Practice"

This repository contains the dataset and supplementary research materials associated with the paper “Students’ Use of Large Language Models in Challenge-Based Learning Mobile App Development Education: Findings from Reflective Practice”. It includes the challenge briefings used during the two Design Science Research Method (DSRM) cycles, the qualitative coding artifacts produced in Atlas.ti (conceptual networks, categories, and subcategories), the English translation of the coded excerpts organized by analytical category, and additional materials supporting the qualitative analysis. The repository aims to improve research transparency, facilitate understanding of the analytical process, and support the reproducibility of the study. All student data have been anonymized prior to publication.