Exploring the Adoption of a Multifunctional Alarm System in Skills Training: An Analysis through Technology Acceptance Model

This study explores the key features, operational mechanisms, and functional advantages of a multifunctional alarm system, emphasizing its security applications and its integration into skills training for Electrical Installation and Maintenance (EIM). Grounded on the Technology Acceptance Model (TAM), the study seeks to optimize the system by integrating advanced technologies to enhance security, reliability, and user-friendliness. It further aims to evaluate the adoption level of the system by assessing user acceptance, market viability, and potential implementation challenges among teacher-trainers—graduates of Industrial Technology and allied courses—teaching TVL-E subjects in junior and senior high schools in the Division of Iligan City. A descriptive-correlational research design utilizing mixed methods was employed. Quantitative data were collected using a validated five-point Likert scale survey and analyzed using descriptive statistics and Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the relationships among perceived Usefulness (PU), perceived ease of use (PEU), Attitude towards use, behavioral intent to use (BIU), and actual system usage. Thirty (30) purposively selected respondents participated in the survey. Qualitative data from open-ended questions were thematically analyzed to determine patterns of opinion regarding the system’s application in skills training. The results revealed high agreement levels across all constructs: level of expertise (M = 3.92), perceived Usefulness (M = 4.553), perceived ease of use (M = 4.040), attitude towards use (M = 4.392), behavioral intent to use (M = 4.350), and actual system use (M = 4.077). All six hypothesized relationships in the structural model were statistically significant (p < 0.05), with the strongest path observed between behavioral intent to use and actual system usage (β = 0.782, t = 9.811, p = 0.000). Thematic analysis revealed three key themes: “Learning Experience and Development,” “Seminars and Workshops,” and “Simulation and Identification of Alarms,” confirming the system’s relevance in realistic learning environments. Validation by experts from academia, industry, and TESDA further affirmed the system’s instructional applicability. In conclusion, the study affirms the effectiveness and educational value of the multifunctional alarm system as a training device in EIM. Recommendations include the development of modular kits, integration of smart technologies, improved connectivity features, enhanced portability, and clear maintenance protocols to increase accessibility, usability, and long-term adoption.

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Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.90600073
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
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article

Exploring the Adoption of a Multifunctional Alarm System in Skills Training: An Analysis through Technology Acceptance Model

Erman Marajas, Victor S. Rosales, Antonio M. Merca -, Roque B. Requino et al.
International Journal of Research and Innovation in Social Science
Technology and Data Analysis
article

Exploring the Adoption of a Multifunctional Alarm System in Skills Training: An Analysis through Technology Acceptance Model

Erman Marajas, Victor S. Rosales, Antonio M. Merca -, Roque B. Requino, Lovenres J. Enanoria
article en

Abstract

This study explores the key features, operational mechanisms, and functional advantages of a multifunctional alarm system, emphasizing its security applications and its integration into skills training for Electrical Installation and Maintenance (EIM). Grounded on the Technology Acceptance Model (TAM), the study seeks to optimize the system by integrating advanced technologies to enhance security, reliability, and user-friendliness. It further aims to evaluate the adoption level of the system by assessing user acceptance, market viability, and potential implementation challenges among teacher-trainers—graduates of Industrial Technology and allied courses—teaching TVL-E subjects in junior and senior high schools in the Division of Iligan City. A descriptive-correlational research design utilizing mixed methods was employed. Quantitative data were collected using a validated five-point Likert scale survey and analyzed using descriptive statistics and Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the relationships among perceived Usefulness (PU), perceived ease of use (PEU), Attitude towards use, behavioral intent to use (BIU), and actual system usage. Thirty (30) purposively selected respondents participated in the survey. Qualitative data from open-ended questions were thematically analyzed to determine patterns of opinion regarding the system’s application in skills training. The results revealed high agreement levels across all constructs: level of expertise (M = 3.92), perceived Usefulness (M = 4.553), perceived ease of use (M = 4.040), attitude towards use (M = 4.392), behavioral intent to use (M = 4.350), and actual system use (M = 4.077). All six hypothesized relationships in the structural model were statistically significant (p < 0.05), with the strongest path observed between behavioral intent to use and actual system usage (β = 0.782, t = 9.811, p = 0.000). Thematic analysis revealed three key themes: “Learning Experience and Development,” “Seminars and Workshops,” and “Simulation and Identification of Alarms,” confirming the system’s relevance in realistic learning environments. Validation by experts from academia, industry, and TESDA further affirmed the system’s instructional applicability. In conclusion, the study affirms the effectiveness and educational value of the multifunctional alarm system as a training device in EIM. Recommendations include the development of modular kits, integration of smart technologies, improved connectivity features, enhanced portability, and clear maintenance protocols to increase accessibility, usability, and long-term adoption.

International Journal of Research and Innovation in Social ScienceVol. IX(VI)
Openalex Percentile: Top 78%
Technology and Data Analysis
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