Predicting College Students’ Squared Platform Utilization: A Multiple Regression Analysis of the Technology Acceptance Model

This study explored the factors that influence college students’ use of the Squared Platform, a QR code-based attendance system created by the College Supreme Student Government of Davao Central College in Davao City. The research was anchored on the Technology Acceptance Model (TAM), which focuses on how perceived ease of use, perceived usefulness, and behavioral intention affect actual system use. Using a predictive-correlational design, data were collected from a stratified sample of 368 enrolled students from five different departments through a validated and reliable questionnaires. The responses were analyzed using frequency, percentage, mean, ANOVA, Pearson correlation, and multiple regression analysis. Findings revealed that students had a very high level of acceptance toward the platform across all TAM constructs. No significant differences were found in terms of year level, but there were significant differences across departments, especially in perceived usefulness. Strong positive relationships were also found between each TAM variable and students’ actual usage behavior, with behavioral intention having the strongest influence. The combined predictors significantly explained more than half of the variance in actual usage. The results support the Technology Acceptance Model, proving that ease of use and usefulness influence students’ intention and actual behavior in using educational technologies like the Squared Platform. Based on the findings, it is recommended that the school promote training, raise awareness, and offer department-specific support to improve technology adoption and ensure effective implementation across all programs.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-09-24
DOI
https://doi.org/10.47772/ijriss.2025.908000617
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
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article

Predicting College Students’ Squared Platform Utilization: A Multiple Regression Analysis of the Technology Acceptance Model

Justine G. Landicho, Roberto Jr. P. Tacbobo, Alkhaser V. Sappayani
International Journal of Research and Innovation in Social Science
Technology Adoption and User Behaviour
article

Predicting College Students’ Squared Platform Utilization: A Multiple Regression Analysis of the Technology Acceptance Model

Justine G. Landicho, Roberto Jr. P. Tacbobo, Alkhaser V. Sappayani
article en

Abstract

This study explored the factors that influence college students’ use of the Squared Platform, a QR code-based attendance system created by the College Supreme Student Government of Davao Central College in Davao City. The research was anchored on the Technology Acceptance Model (TAM), which focuses on how perceived ease of use, perceived usefulness, and behavioral intention affect actual system use. Using a predictive-correlational design, data were collected from a stratified sample of 368 enrolled students from five different departments through a validated and reliable questionnaires. The responses were analyzed using frequency, percentage, mean, ANOVA, Pearson correlation, and multiple regression analysis. Findings revealed that students had a very high level of acceptance toward the platform across all TAM constructs. No significant differences were found in terms of year level, but there were significant differences across departments, especially in perceived usefulness. Strong positive relationships were also found between each TAM variable and students’ actual usage behavior, with behavioral intention having the strongest influence. The combined predictors significantly explained more than half of the variance in actual usage. The results support the Technology Acceptance Model, proving that ease of use and usefulness influence students’ intention and actual behavior in using educational technologies like the Squared Platform. Based on the findings, it is recommended that the school promote training, raise awareness, and offer department-specific support to improve technology adoption and ensure effective implementation across all programs.

International Journal of Research and Innovation in Social Science
Openalex Percentile: Top 75%
Technology Adoption and User Behaviour
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