Tutor IntroComp – Artefatos de Implementação e Validação

This repository gathers the complete implementation and validation artifacts of Tutor IntroComp, an LLM-based pedagogical agent developed for the Introduction to Computing in Python course.The tutor was implemented as a Custom GPT on the ChatGPT platform and structured around a progressive flow of help levels (N0–N4), aiming to preserve student authorship through gradual hints, short steps, and a requirement to attempt before progressing.Available in this repository:Master prompt used to configure the model;Topic-by-Topic Hint Guide, organized by help levels;Dialogue Examples Notebook, containing model dialogues to stabilize format and tone;Internal validation spreadsheets (simulated scenarios, metrics, and per-session checklist);The validation described in the paper was internal and controlled, based on simulated scenarios typical of the course, without direct student participation.The purpose of making it publicly available is to ensure methodological reproducibility, scientific transparency, and the possibility of reusing or adapting the model in other educational contexts.