International Journal of
Information and Education Technology

Abstract—Artificial Intelligence (AI) is currently reshaping the education sector, particularly in remote areas. It has enhanced teaching effectiveness while reducing the rural-urban educational gap. With the continuous evolution of AI, this study investigates its role among elementary school students in rural areas of Taiwan. It explores how the implementation of AI technology in school activities influences the satisfaction levels of students participating in these events. By collecting the perspectives of students, parents, and community members regarding the integration of AI into school activities, the research aims to analyze their experiences, satisfaction, and intentions related to their engagement in teaching activities in underserved rural regions. This study employs a structured model and regression path analysis to explore the extent of impact that integrating artificial intelligence into teaching activities in rural communities has on local elementary school students. The results of this study indicate that the integration of AI into teaching activities in rural communities has a positive impact on the relationships among three dimensions: activity experience, activity satisfaction, and behavioral intention. Specifically, (1) Within the activity experience dimension, sensory action and emotional experience have a significant positive correlation with teaching activity satisfaction, explaining 39.3% of the variance in satisfaction. (2) Teaching activity satisfaction is positively correlated with behavior intention, with a notable explanatory power of 34.3%. The findings indicate that sensory action and emotional experience are crucial for enhancing student satisfaction. Reflects students’ willingness to participate in further teaching activities based on their satisfaction levels. These results not only showcase the effectiveness of AI in enhancing teaching experiences but also emphasize the critical role of emotional and sensory engagement in fostering student satisfaction and future participation in teaching activities, particularly in underserved rural areas.

Keywords—Artificial Intelligence (AI), rural areas education, activity satisfaction, behavioral intention, regression path analysis

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Cite: Chun-Wei Ho, "A Study on Integrating Artificial Intelligence into Teaching Activities in Rural Communities for Elementary School Students," International Journal of Information and Education Technology, vol. 15, no. 6, pp. 1144-1149, 2025.

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).