Student Performance and Augmented Reality Adoption Dataset (2022–2023)

This dataset contains anonymized academic and survey information collected from engineering students participating in courses that incorporated Augmented Reality (AR) as part of their teaching and learning strategies. The data include anonymous student and professor identifiers, academic year, degree program, course name, course code, final grades, and final academic status. In addition, the dataset provides responses to an AR-focused survey covering prior experience with AR technologies, familiarity levels, satisfaction with the integration of AR into coursework, perceived applicability of AR workshop skills, and initial acceptance of AR within the students’ professional development.The dataset is intended to support research on technology-enhanced learning, student performance analysis, and the adoption of immersive technologies in engineering education. All personal identifiers have been removed to ensure confidentiality and compliance with ethical data-handling standards. The dataset can be used for statistical analysis, replication studies, comparative research, and educational innovation evaluations.