Abstract
The integration of virtual reality into STEM education has generated growing interest in how this technology impacts the understanding and application of scientific concepts. This study focuses on investigating this relationship by using the MICMAC technique to identify key variables and their interactions in virtual educational environments. It was found that variables such as the design of educational content, the quality of the virtual experience, and the interactivity of the environment are key to the learning process in STEM. In addition, determinant and autonomous variables were identified, which play fundamental roles in the generation of scientific knowledge for students. These results highlight the relevance of considering various aspects of virtual educational design to improve the effectiveness of learning in STEM. The practical implications of this study are significant for educators and educational program designers, highlighting the need to create immersive, interactive, and collaborative virtual environments to promote better understanding and application of scientific concepts. This study contributes to existing knowledge by providing a deeper understanding of how virtual reality can enhance learning in STEM, and suggests directions for future research in the field.
Published Version
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