Extended Reality (XR) in Computer Science Education – Aggregated Dataset from 100+ Studies

# Dataset: Extended Reality (XR) in Computer Science Education – Systematic Literature Review **Authors**: Miguel A. Feijoo-García, Yiqun Zhang, Yiyin Gu, Alejandra J. Magana, et al. (see `authors` column for per‑paper authorship) **Description**: This dataset comprises 150+ research articles examining the use of Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and Extended Reality (XR) in computer science education. It includes studies from 2015 to 2025 covering programming, computational thinking, robotics, electronics, and software engineering. **Key columns**:- `title`, `year`, `authors`, `journal`, `doi`, `url` – bibliographic metadata.- `educational_level`, `sample_size`, `participant_age` – study demographics.- `xr_technology`, `hardware_software`, `intervention_duration` – technical details.- `knowledge_outcomes`, `skills`, `motivation`, `reported_effect_size` – learning results.- `long_term_retention`, `spatial_reasoning`, `cognitive_load` – binary indicators. **Methodology**: Systematic search of Scopus, IEEE, ACM, and other databases. Data extraction followed a structured coding scheme. Cleaning and harmonisation performed with Python (pandas). No sensitive information is included. **File format**: CSV (UTF‑8), comma‑separated, header row. **License**: [Choose a license, e.g., CC‑BY‑4.0] **Related publication**: [Link to your review paper or project page if any] **Contact**: [Your email or ORCID]