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STEM Uptake among Children in India and Ireland: A Technology Acceptance Model

Sahni, Kabir, Pandey, Aditya and Sahni, Anu (2025) STEM Uptake among Children in India and Ireland: A Technology Acceptance Model. In: 2025 2nd International Conference on Computational Intelligence and Computing Applications (ICCICA). IEEE, Samalkha, India, pp. 768-772. ISBN 979-833155650-1

Full text not available from this repository.
Official URL: https://doi.org/10.1109/ICCICA67008.2025.11337801

Abstract

This paper presents a quantitative, cross-sectional analysis of technology acceptance in STEM education among students and parents in India and Ireland. The study was driven by the Technology Acceptance Model (TAM) which uses survey data to operationalize as well as measure the following key constructs: acceptance of Perceived Usefulness (PU), Perceived Ease of Use (PEOU) and Attitude. The examination shows that the Indian students along with the parents depicted a greater level of perceived usefulness (PU) and aspiration of STEM, whereas, the Irish students exhibited a greater degree of perceived ease of use (PEOU) in regard to coding-confidence. The study found no significant correlation between PEOU (coding confidence) and PU (STEM interest) (r=0.12, p=0.45), suggesting independence of these constructs. It was also found that there was a higher degree of gender stereotyping against technology that is more pronounced in India as shown by the analysis of the results. These results demonstrate the differences in cross-cultural and generational technology acceptance, thus allowing establishing an educational intervention based on context.

Item Type: Book Section
Uncontrolled Keywords: cross-cultural studies; STEM education; Technology Acceptance Model (TAM)
Subjects: L Education > L Education (General)
L Education > LF Individual institutions (Europe)
Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Staff Research and Publications
Depositing User: Tamara Malone
Date Deposited: 28 Apr 2026 11:26
Last Modified: 28 Apr 2026 11:26
URI: https://norma.ncirl.ie/id/eprint/9288

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