An Empirical Study on the Effect of Contextualized Learning of English Vocabulary on Long-Term Memory Retention Supported by Augmented Reality Technology

Authors

  • Dandan Shi School of Foreign Languages, Huanghuai University, Zhumadian 463000, Henan, China

DOI:

https://doi.org/10.70917/ijcisim-2026-0097

Keywords:

augmented reality technology; contextualized teaching; Pearson correlation coefficient; English vocabulary learning; long-term memory retention

Abstract

With the development of augmented reality (AR) technology, the level of contextualization has been continuously improved. This paper utilizes ZAPPAR software to design and implement AR vocabulary teaching materials, aiming to enhance the realism of contextual learning in the classroom. A control experiment was conducted to verify the effectiveness of contextual learning under AR technology. Student learning data was collected through questionnaires and other methods, and Pearson correlation coefficients were further introduced to calculate the association between contextual learning ability under AR technology and students' long-term vocabulary acquisition. The experimental results show: The average scores for short-term and long-term vocabulary memory in the experimental group were 91.034 and 90.768, respectively, with a memory decay change of only -0.266 points, which outperformed the control class and the comparison method. The correlation coefficient between the AR-supported contextual learning method and long-term vocabulary acquisition was 0.35. Additionally, the regression coefficients for the three categories of vocabulary were 9.765, 32.821, and 0.503, respectively, indicating a positive effect on vocabulary memory.  

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Published

2026-01-24

How to Cite

Dandan Shi. (2026). An Empirical Study on the Effect of Contextualized Learning of English Vocabulary on Long-Term Memory Retention Supported by Augmented Reality Technology. International Journal of Computer Information Systems and Industrial Management Applications, 18, 12. https://doi.org/10.70917/ijcisim-2026-0097

Issue

Section

Original Articles