Abstract: New pedagogical tools have been introduced in educational contexts in recent years. They have been shown to impact learning compared to conventional education strategies positively. Before implementing new learning tools, a study of technological acceptance is needed for its application to succeed. For this reason, the objective of this research was to measure the intention and acceptance of the use of new digital learning tools, such as mobile applications, holograms, interactive platforms, and virtual or augmented reality, through the Technology Acceptance Model 3 (TAM3) in safety on-board training inductions in a mining company. This measurement was based on the analysis of a survey carried out in Google Forms based on the Likert scale; the results were processed using the partial least squares technique in structural equation models (PLS-SEM), processed through SmartPLS 3. As a result, we got positive correlations between the instrument's variables and acceptance by the participants studied. The findings indicate that it is essential to consider the participants' opinions a priori to implementing new digital education tools for managerial decision-making. It was considering highlighting the teaching about safety in mining companies since this allows contributing to engineering education and protecting the most precious resource of any company, the human being.

Jose Julian Rodriguez-Delgado, Patricia Lopez-Casaperalta, Mario Gustavo Berrios-Espezua, Alejandro Marcelo Acosta-Quelopana and Jose Sulla-Torres, “Digital Learning Tools for Security Inductions in Mining Interns: A PLS-SEM Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 13(5), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130562

@article{Rodriguez-Delgado2022,
title = {Digital Learning Tools for Security Inductions in Mining Interns: A PLS-SEM Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130562},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130562},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {5},
author = {Jose Julian Rodriguez-Delgado and Patricia Lopez-Casaperalta and Mario Gustavo Berrios-Espezua and Alejandro Marcelo Acosta-Quelopana and Jose Sulla-Torres}
}