An Investigation of the Determinants of Engineering Aptitude Using Structural Equation Modeling

M. S. Firdaus; Deliansyah Pasayu

doi:10.56741/IISTR.jpes.002074

Authors

Firdaus M.S.
firdaus.cekmail@gmail.com
Universitas Islam Ogan Komering Ilir Kayuagung
Deliansyah Pasayu Universitas Islam Ogan Komering Ilir Kayuagung https://orcid.org/0000-0003-4913-0175

Keywords:

Engineering Aptitude, Mechanical Reasoning, Problem Solving, SEM, Spatial Ability

Abstract

The urgency of this research is a follow-up to previous research that identified moderate engineering aptitude among engineering students at Universitas Islam Ogan Komering Ilir Kayuagung. Therefore, further analysis of the factors influencing engineering aptitudes is necessary. The results of this research will have implications for curriculum development, instructional design, and learning environments that can support engineering aptitude in engineering students and ensure success in the workforce. This study aims to determine a model of factors influencing engineering aptitude in engineering students. This research is a quantitative cross-sectional study. The sampling technique used was purposive sampling, involving 30 mechanical engineering students and 72 civil engineering students from the Faculty of Engineering at Universitas Islam Ogan Komering Ilir Kayuagung. The data were analyzed using Structural Equation Modelling (SEM). The SEM analysis included testing the measurement model and evaluating the structural model. Based on the research results, it can be concluded that engineering students' engineering aptitude is influenced by problem-solving and mechanical reasoning. Therefore, the study emphasizes the crucial role of mechanical reasoning and problem-solving processes in developing engineering aptitude among students. From a practical perspective, the findings suggest that engineering education should provide learning environments that actively encourage reasoning skills and real-world problem-solving experiences.

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Author Biographies

Firdaus M.S., Universitas Islam Ogan Komering Ilir Kayuagung

is a lecturer at Universitas Islam Ogan Komering Ilir Kayuagung, South Sumatra, Indonesia. His academic interests focus on public health, community health promotion, preventive healthcare, and health education. He is actively engaged in research and community service projects addressing public health issues and the improvement of healthcare quality. His work has been published in scientific journals and presented at national and international academic forums. (email: firdaus.cekmail@gmail.com).

Deliansyah Pasayu, Universitas Islam Ogan Komering Ilir Kayuagung

is a lecturer at Universitas Islam Ogan Komering Ilir Kayuagung, South Sumatra, Indonesia. Their academic expertise lies in public health, health promotion, community-based healthcare, and disease prevention. They actively participate in research, academic development, and community engagement programs aimed at improving public health outcomes. Their scholarly work contributes to evidence-based healthcare practices and the advancement of health sciences through research and education. (email: deliansyahpasayu@gmail.com).

References

A. D. Hapsari and R. Hidayat, “Assessing the Predictive Power of Aptitude Tests on Academic Achievement of Students in Science and Technology Majors,” Gadjah Mada Journal of Psychology (GamaJoP), vol. 10, no. 2, p. 118, Oct. 2024, doi: 10.22146/gamajop.83491. DOI: https://doi.org/10.22146/gamajop.83491

I. W. P. Yudha, I. M. Candiasa, and G. Indrawan, “The development of online vocational aptitude test,” in Journal of Physics: Conference Series, Institute of Physics Publishing, Jun. 2020. doi: 10.1088/1742-6596/1516/1/012036. DOI: https://doi.org/10.1088/1742-6596/1516/1/012036

D. Bairakrova and D. Reeping, “Development and Psychometrics of a Freely Available Mechanical Aptitude Test* DIANA BAIRAKTAROVA,” International Journal of Engineering Education, vol. 35, no. 6(A), pp. 1839–1850, 2019.

O. Shatunova and O. Sterz, “The Structure of the Person’s Technical Aptitude and Factors of its Development,” Journal of Social Studies Education Research, vol. 2018, no. 2, pp. 239–250, 2018, [Online]. Available: www.jsser.org

J. B. Araza, “Development and Validation of an Aptitude Test in Research Productivity,” Journal of Information Systems Engineering and Management, vol. 10, no. 29s, pp. 2468–4376, 2025, [Online]. Available: https://www.jisem-journal.com/ DOI: https://doi.org/10.52783/jisem.v10i29s.4449

F. MS and E. Saud, “ENGINEERING APTITUDE-MECHANICAL REASONING OF ENGINEERING STUDENTS: RASCH ANALYSIS,” Edutainment: Jurnal Ilmu Pendidikan dan Kependidikan, vol. 12, no. 2, pp. 56–64, 2024, doi: https://doi.org/10.35438/e.v12i2.927. DOI: https://doi.org/10.35438/e.v12i2.927

F. MS and E. Saud, “Differences in Mechanical Reasoning of Engineering Students,” Jurnal Riset dan Inovasi Pembelajaran, vol. 4, no. 3, pp. 1794–1800, Nov. 2024, doi: 10.51574/jrip.v4i3.2180.

D. Missingham, S. Shah, and F. Sabir, “Research Skill Development spanning Higher Education: Curricula, critiques and connections Article 8 2018 Recommended Citation Missingham, Dorothy; Shah, Siddarth; and Sabir, Fizza, Student engineers optimising problem solving and research skills,” 2018. [Online]. Available: https://ro.uow.edu.au/jutlpAvailableat:https://ro.uow.edu.au/jutlp/vol15/iss4/8 DOI: https://doi.org/10.53761/1.15.4.8

Y. Ueki and J. M. Guaita Martínez, “The impact of engineers’ skills and problem-solving abilities on process innovation,” Economic Research-Ekonomska Istrazivanja , vol. 33, no. 1, pp. 2018–2037, Jan. 2020, doi: 10.1080/1331677X.2019.1596826. DOI: https://doi.org/10.1080/1331677X.2019.1596826

W. O. A. S. W. Ismail, N. Hamzah, I. Y. A. Fatah, and A. K. Muhammad, “The essential of engineering education involving critical thinking and problems solving skills among mechanical engineer employees,” in IOP Conference Series: Materials Science and Engineering, IOP Publishing Ltd, Dec. 2019. doi: 10.1088/1757-899X/697/1/012017.

H. Sun, Q. Gao, H. Lyu, D. Luo, Y. Li, and H. Deng, “Probing Mechanical Reasoning in Large Vision Language Models,” Sep. 2024, [Online]. Available: http://arxiv.org/abs/2410.00318

A. F. McKenna and A. M. Agogino, “Supporting mechanical reasoning with a representationally-rich learning environment,” Journal of Engineering Education, vol. 93, no. 2, pp. 97–104, 2004, doi: 10.1002/j.2168-9830.2004.tb00794.x. DOI: https://doi.org/10.1002/j.2168-9830.2004.tb00794.x

R. Porat and C. Ceobanu, “The Role of Spatial Ability in Academic Success: The Impact of the Integrated Hybrid Training Program in Architecture and Engineering Higher Education,” Educ. Sci. (Basel)., vol. 14, no. 11, Nov. 2024, doi: 10.3390/educsci14111237. DOI: https://doi.org/10.3390/educsci14111237

H. C. Gómez-Tone, J. Martin-Gutierrez, L. V. Anci, and C. E. M. Luis, “International comparative pilot study of spatial skill development in engineering students through autonomous augmented reality-based training,” Symmetry (Basel)., vol. 12, no. 9, Sep. 2020, doi: 10.3390/SYM12091401. DOI: https://doi.org/10.3390/sym12091401

R. Nagy-Kondor, “Spatial ability of engineering students,” 2007. [Online]. Available: http://www.ektf.hu/tanszek/matematika/ami

S. Sorby, B. Casey, N. Veurink, and A. Dulaney, “The role of spatial training in improving spatial and calculus performance in engineering students,” Learn. Individ. Differ., vol. 26, pp. 20–29, 2013, doi: 10.1016/j.lindif.2013.03.010. DOI: https://doi.org/10.1016/j.lindif.2013.03.010

M. Husin, Usmeldi, H. Masdi, W. Simatupang, Fadhilah, and Y. Hendriyani, “Project-Based Problem Learning: Improving Problem-Solving Skills in Higher Education Engineering Students,” International Journal of Sociology of Education, vol. 14, no. 1, pp. 62–84, Feb. 2025, doi: 10.17583/rise.15125. DOI: https://doi.org/10.17583/rise.15125

F. MS and E. Saud, “Differences in Mechanical Reasoning of Engineering Students,” Jurnal Riset dan Inovasi Pembelajaran, vol. 4, no. 3, pp. 1794–1800, Nov. 2024, doi: 10.51574/jrip.v4i3.2180. DOI: https://doi.org/10.51574/jrip.v4i3.2180

N. Fang, A. Farooq, and W. Goodridge, “Enhancing Undergraduate Engineering Students’ Spatial Skills Through a New Virtual and Physical Manipulatives (VPM) Technology*,” International Journal of Engineering Education, vol. 38, no. 1, pp. 90–100, 2022.

C. Reid, J. Buckley, and R. Dunbar, “Investigating the effect of engineering student’s spatial ability and expertise on general complex problem solving,” Techne Series A, vol. 28, no. 2, pp. 72–81, 2021.

R. Hidayat and Patricia Wulandari, “Structural Equation Modelling (SEM) in Research: Narrative Literature Review,” Indonesia Journal of Social Sciences, vol. 5, no. 6, pp. 852–858, Dec. 2022, doi: 10.37275/oaijss.v5i6.141. DOI: https://doi.org/10.37275/oaijss.v5i6.141

S. Demir and M. Uşak, “Analyzing the Implementation of PLS-SEM in Educational Technology Research: A Review of the Past 10 Years,” Sage Open, vol. 15, no. 2, pp. 1–23, Apr. 2025, doi: 10.1177/21582440251345950. DOI: https://doi.org/10.1177/21582440251345950

C. Maier, J. B. Thatcher, V. Grover, and Y. K. Dwivedi, “Cross-sectional research: A critical perspective, use cases, and recommendations for IS research,” Jun. 01, 2023, Elsevier Ltd. doi: 10.1016/j.ijinfomgt.2023.102625. DOI: https://doi.org/10.1016/j.ijinfomgt.2023.102625

E. Firdaus, S. Andrikasmi, N. Hermita, and T. T. Wijaya, “Investigating factors influencing bullying behavior reduction and gender differences in higher education: A structural equation modeling approach,” Acta Psychol. (Amst)., vol. 253, Mar. 2025, doi: 10.1016/j.actpsy.2025.104747. DOI: https://doi.org/10.1016/j.actpsy.2025.104747

J. Hair and A. Alamer, “Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example,” Research Methods in Applied Linguistics, vol. 1, no. 3, Dec. 2022, doi: 10.1016/j.rmal.2022.100027. DOI: https://doi.org/10.1016/j.rmal.2022.100027

N. Kock, “Common method bias in PLS-SEM: A full collinearity assessment approach,” International Journal of e-Collaboration, vol. 11, no. 4, pp. 1–10, Oct. 2015, doi: 10.4018/ijec.2015100101. DOI: https://doi.org/10.4018/ijec.2015100101

J. Hair, G. Hult, C. Ringle, M. Sarstedt, N. Danks, and S. Ray, Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Switzerland: Springer, 2021. [Online]. Available: http://www. DOI: https://doi.org/10.1007/978-3-030-80519-7

F. Abu, H. Gholami, M. Z. M. Saman, N. Zakuan, D. Streimikiene, and G. L. Kyriakopoulos, “An sem approach for the barrier analysis in lean implementation in manufacturing industries,” Sustainability (Switzerland), vol. 13, no. 4, pp. 1–18, Feb. 2021, doi: 10.3390/su13041978. DOI: https://doi.org/10.3390/su13041978

R. Karnia, “Importance of Reliability and Validity in Research,” Psychology and Behavioral Sciences, vol. 13, no. 6, pp. 137–141, Nov. 2024, doi: 10.11648/j.pbs.20241306.11. DOI: https://doi.org/10.11648/j.pbs.20241306.11

M. S. Miah, J. S. K. Singh, and M. A. Rahman, “Factors Influencing Technology Adoption in Online Learning among Private University Students in Bangladesh Post COVID-19 Pandemic,” Sustainability (Switzerland), vol. 15, no. 4, Feb. 2023, doi: 10.3390/su15043543. DOI: https://doi.org/10.3390/su15043543

J. Vanhove, “Collinearity isn’t a disease that needs curing,” Meta-Psychology, vol. 5, pp. 1–11, Apr. 2021, doi: 10.15626/mp.2021.2548. DOI: https://doi.org/10.15626/MP.2021.2548

N. Akhtar, M. F. Alharthi, and M. S. Khan, “Mitigating Multicollinearity in Regression: A Study on Improved Ridge Estimators,” Mathematics, vol. 12, no. 19, pp. 1–17, Oct. 2024, doi: 10.3390/math12193027. DOI: https://doi.org/10.3390/math12193027

G. Molnár and S. Greiff, “Understanding transitions in complex problem-solving: Why we succeed and where we fail,” Think. Skills Creat., vol. 50, Dec. 2023, doi: 10.1016/j.tsc.2023.101408. DOI: https://doi.org/10.1016/j.tsc.2023.101408

K. Bariyyah, “Problem solving skills: esssential skills challenges for the 21st century graduates,” Jurnal EDUCATIO: Jurnal Pendidikan Indonesia, vol. 7, no. 1, p. 71, Aug. 2021, doi: 10.29210/120212843. DOI: https://doi.org/10.29210/120212843

W. O. A. S. W. Ismail, N. Hamzah, I. Y. A. Fatah, and A. K. Muhammad, “The essential of engineering education involving critical thinking and problems solving skills among mechanical engineer employees,” in IOP Conference Series: Materials Science and Engineering, IOP Publishing Ltd, Dec. 2019. doi: 10.1088/1757-899X/697/1/012017. DOI: https://doi.org/10.1088/1757-899X/697/1/012017

T. B. Kumari and K. Jubraj, “Reasoning ability as a determinant of engineering aptitude: a study on engineering students of Durg-Bhilai Region, India,” Research Journal of Educational Sciences, vol. 6, no. 4, pp. 1–7, 2018.

A. M. Purcar et al., “The Effect of Visual Reasoning on Arithmetic Word Problem Solving,” Educ. Sci. (Basel)., vol. 14, no. 3, Mar. 2024, doi: 10.3390/educsci14030278. DOI: https://doi.org/10.3390/educsci14030278

J. Wu, “Mechanical Engineering Reasoning Diagram: How Can Modeling Engineering Thinking Support Learning in Writing Intensive Labs?,” in The Future of Engineering Education, Portland: American Society for Engineering Education, 2024, pp. 1–16.