Leveraging Bio-Sensing Technology and IoT for Optimizing Spanish Vocabulary Instruction Across Chinese and Western Cultures: A Biotechnological Approach

Abstract

Traditional methods of teaching Spanish vocabulary often rely heavily on teacher explanations and student memorization, which are constrained by time and space limitations, leading to suboptimal learning outcomes. This study explores the application of bio sensing technology to enhance the effectiveness of Spanish vocabulary instruction. By utilizing biosensors to monitor physiological markers—such as the levels of specific neurotransmitters in the blood, reaction times, and other physiological indicators—the study aims to gain insights into the neural activity associated with language learning. This data is used to identify gaps in students' knowledge and understanding when using Spanish. A comprehensive scientific framework was developed for the experimental design, including the setup of experimental conditions, corpus collection, and data processing. The results of the study indicate that there was no significant difference in the pre-test scores between the control and experimental groups (P=0.815, P>0.05). However, the post-test scores revealed a statistically significant improvement in the experimental group (P=0.039<0.05), with the mean score being 8.47 points higher than that of the control group. These findings suggest that the integration of bio sensing technology into Spanish vocabulary teaching can significantly enhance students’ learning performance and engagement. This research offers new perspectives and methodologies for the integration of bio sensing technology into language education, demonstrating its potential to revolutionize traditional teaching approaches and improve educational outcomes in the field of Spanish language instruction.