Dataset, Learning Profiles in Introductory Programming through Learning Analytics in a Gamified CodeCombat-Based Environment

This repository contains the anonymized dataset and analysis materials used in the study “Learning profiles in introductory programming using Learning Analytics in a gamified environment based on CodeCombat.”

The dataset includes processed and structured data derived from student interaction logs in CodeCombat, ensuring that no personally identifiable information is disclosed. The repository provides multiple stages of data preparation and analysis to support transparency and reproducibility of the results.

The contents are organized as follows:

• 00_dataset_analitico_estructura.xlsx: Original structured analytical dataset.
• 01_dataset_con_variables_datos_limpios.xlsx: Cleaned dataset with derived variables.
• 02_dataset_con_variables_normalizadas.xlsx: Dataset with normalized variables used for clustering.
• 03_dataset_con_clusters.xlsx: Dataset including cluster assignments obtained through K-means.
• 04_dataset_con_analisis_contenido.xls: Dataset disaggregated by content for complementary analysis.
• 05_datos_figuras.xlsx: Data used for generating tables and figures presented in the study.

These materials enable replication of the analytical process, including variable construction, clustering procedures, and descriptive analyses reported in the article.