Technology acceptance in statistics education: Implications for human capital and community capacity development

Asyraf Afthanorhan; Nur Zainatulhani  Mohamad; Nik Hazimi  Fouziah; Mochammad Fahlevi; Ahmad Nazim Aimran; Sanad Al Maskari

doi:10.55942/ccdj.v5i2.1147

Authors

Asyraf Afthanorhan Universiti Sultan Zainal Abidin https://orcid.org/0000-0002-8817-9062
Nur Zainatulhani Mohamad Universiti Sultan Zainal Abidin https://orcid.org/0000-0001-8958-9584
Nik Hazimi Fouziah Universiti Sultan Zainal Abidin Kuala https://orcid.org/0000-0002-1001-5877
Mochammad Fahlevi Bina Nusantara University https://orcid.org/0000-0002-1419-8308
Ahmad Nazim Aimran Universiti Teknologi MARA https://orcid.org/0000-0002-0322-3408
Sanad Al Maskari Sohar University https://orcid.org/0000-0002-0759-2091

DOI:

https://doi.org/10.55942/ccdj.v5i2.1147

Keywords:

Technology Acceptance Model, Statistics Education, Structural Equation Modeling, Undergraduate Students

Abstract

This study evaluates the performance of a proposed model based on the Technology Acceptance Model (TAM) to forecast students' opinions of statistics education improved by advanced technology. Using a sample of 379 undergraduate students from Malaysia's East Coast, chosen by simple random sampling, this study examined six main constructs: social influence, self-efficacy, perceived usefulness, perceived ease of use, attitude toward using, and behavioral intention. The measurement model was validated using confirmatory factor analysis (CFA), which found that each construct satisfied the necessary thresholds for model fit, dependability, and validity. Students' attitudes toward using technology were found to be influenced by perceived usefulness, social influence, self-efficacy, and perceived ease of use, according to a structural model examined using Covariance-Based Structural Equation Modeling (CB-SEM). Attitude, perceived ease of use, social influence, and self-efficacy significantly affected behavioral intention; the direct path from perceived usefulness to behavioral intention was not statistically significant. Four major mediation effects were also found, which emphasizes the importance of attitude in connecting the antecedent variables to behavioral intention. Thus, by using the digital education for statistics course, the model under test is also sufficient to match the present development and will be helpful for future studies.

Author Biographies

Asyraf Afthanorhan, Universiti Sultan Zainal Abidin

Asyraf Afthanorhan is a researcher in Operations Research & Management Sciences at the Faculty of Business and Management, Universiti Sultan Zainal Abidin (UniSZA), Kuala Nerus, Malaysia. His work sits at the intersection of quantitative decision-making and management science, contributing to academic research and applied analytical problem-solving within business and organizational contexts.

Nur Zainatulhani Mohamad, Universiti Sultan Zainal Abidin

Nur Zainatulhani Mohamad is affiliated with the Faculty of Business and Management, Universiti Sultan Zainal Abidin (UniSZA), Kuala Nerus, Malaysia. Her academic profile reflects engagement in business and management scholarship, with a focus on research and publication activities that support evidence-based understanding of organizational and managerial issues.

Nik Hazimi Fouziah, Universiti Sultan Zainal Abidin Kuala

Nik Hazimi Mohammed Fouziah is a scholar in Mathematical Modeling of Business Risks at the Faculty of Business and Management, Universiti Sultan Zainal Abidin (UniSZA), Kuala Nerus, Malaysia. Her work emphasizes quantitative modeling and risk-focused analysis to inform business decision-making and strengthen methodological rigor in management research.

Mochammad Fahlevi, Bina Nusantara University

Mochammad Fahlevi is associated with Bina Nusantara University. His work spans management and sustainability-oriented research, with contributions to empirical studies and international publications in areas such as organizational performance, leadership, and business innovation.

Ahmad Nazim Aimran, Universiti Teknologi MARA

Ahmad Nazim Aimran is based at the School of Mathematical Sciences, College of Computing, Informatics and Media, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia. His academic profile centers on mathematical and statistical sciences, supporting research that requires strong quantitative reasoning and applied analytics across interdisciplinary domains.

Sanad Al Maskari, Sohar University

Sanad Al Maskari is affiliated with the Faculty of Computing & Information Technology, Sohar University, Sohar, Sultanate of Oman. His work aligns with computing and information technology scholarship, contributing to research and academic initiatives that address contemporary challenges in digital systems and applied computing.

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