The Role of Technology Competence in the Relationship Between Language Proficiency and Mathematical Competence
DOI:
https://doi.org/10.67903/ijroms0182Keywords:
Mathematics Education, Engineering Education, Mediation Analysis, Moderation Analysis, Digital CompetenceAbstract
Despite the recognized importance of language proficiency and technology competence in STEM education, limited research has examined how technology competence explains or influences the relationship between language proficiency and mathematical competence among engineering students. Thus, this study aimed to determine the influence of language proficiency on mathematical competence and examine the role of technology competence in explaining and shaping this relationship among selected engineering students. Using a quantitative research design, the study involved 65 first-year engineering students from a private university in Northern Mindanao, Philippines, selected through stratified random sampling. Data were collected using an adapted validated questionnaire and analyzed through regression-based mediation and moderation analyses. Findings revealed that language proficiency significantly influenced mathematical competence with strong explanatory power. Technology competence also significantly mediated the relationship between language proficiency and mathematical competence, indicating that part of the influence of language proficiency operates through students' technology competence. However, technology competence did not significantly moderate the relationship, suggesting that the influence of language proficiency on mathematical competence remains consistent regardless of students' level of technology competence. These findings highlight the complementary roles of language and technology competencies in strengthening mathematical learning and suggest that educational institutions should adopt integrated instructional strategies that simultaneously develop communication, technological, and mathematical competencies to better prepare students for the demands of STEM education.
References
Asahid, R. L., & Lomibao, L. S. (2020). Embedding proof-writing in phenomenon-based learning to promote students' mathematical creativity. American Journal of Educational Research, 8(9), 676–684. https://doi.org/10.12691/education-8-9-9
Barodi, A. P., Berdon, C. J. II S., Namoc, L. T., Namoc, K. E. C., & Cano, J. C. (2026). Exploring language proficiency and technology competence as predictors of mathematical competence in engineering education. Cognizance Journal of Multidisciplinary Studies, 6(4), 1–14. https://doi.org/10.47760/cognizance.2026.v06i04.001
Bernardo, A. B. I., Cordel, M. O., Lucas, R. I. G., Teves, J. M., Yap, S. A., & Chua, U. C. (2021). Using machine learning approaches to explore non-cognitive variables influencing reading proficiency in English among Filipino learners. Education Sciences, 11(10), 628. https://doi.org/10.3390/educsci11100628
Cano, J. C., & Lomibao, L. S. (2022). Design, development and validation of phenomenon-based learning video for asynchronous remote instruction. American Journal of Educational Research, 10(4), 194–200. https://pubs.sciepub.com/education/10/4/6/index.html
Cano, J. C., & Lomibao, L. S. (2023). A mixed methods study of the influence of phenomenon-based learning videos on students' mathematics self-efficacy, problem-solving and reasoning skills, and mathematics achievement. American Journal of Educational Research, 11(3), 97–115. https://pubs.sciepub.com/education/11/3/2/index.html
Cano, J. C., Salimaco, R. A. Jr., Cheng, R. L. A., Acosta, H. R., Antabo, I. M. Y., & Gimo, V. A. A. (2026). A worktext in Mathematics in the Modern World. Infopage Education Services, Inc. https://infopageeducation.com/?store-page-store=2
CHED. (2023). Philippine higher education digital transformation framework. Commission on Higher Education. https://ched.gov.ph
Department of Education. (2022). PISA 2022 Philippine national report. https://www.deped.gov.ph
Duo-Terron, P. D., Hinojo-Lucena, F. J., Guerrero, A. J., & Nunez, J. A. (2022). STEAM in primary education: Impact on linguistic and mathematical competence. Frontiers in Education, 7, 792656. https://doi.org/10.3389/feduc.2022.792656
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer. https://doi.org/10.1007/978-3-030-80519-7
Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (3rd ed.). Guilford Press.
Heidari, E., Mehrvarz, M., Marzooghi, R., & Stoyanov, S. (2021). The role of digital informal learning in the relationship between students' digital competence and academic engagement during the COVID-19 pandemic. Journal of Computer Assisted Learning, 37(4), 1154–1166. https://doi.org/10.1111/jcal.12553
Hidayat-Ur-Rehman, I. (2024). Digital competence and students' engagement: A comprehensive analysis of smartphone utilization, perceived autonomy and formal digital learning as mediators. Interactive Technology and Smart Education. Advance online publication. https://doi.org/10.1108/ITSE-09-2023-0189
Hinayas, F. S. P., Aguilar, M. K., Amarillo, L. A. U., Dela Riarte, R. J. J., & Cano, J. C. (2026). The predictive role of language proficiency and non-cognitive skills on mathematical competence among maritime students. International Journal of Current Science Research and Review, 9(3), 1654–1666. https://doi.org/10.47191/ijcsrr/V9-i3-50
Igartua, J. J., & Hayes, A. F. (2021). Mediation, moderation, and conditional process analysis: Concepts, computations, and some common confusions. The Spanish Journal of Psychology, 24, e49. https://doi.org/10.1017/SJP.2021.46
Keith, T. Z. (2019). Multiple regression and beyond: An introduction to multiple regression and structural equation modeling (3rd ed.). Routledge. https://doi.org/10.4324/9781315162348
Koyuncuoğlu, D. (2022). Analysis of digital and technological competencies of university students. International Journal of Education in Mathematics, Science and Technology, 10(4), 971–988. https://doi.org/10.46328/ijemst.2583
Makwana, D., Engineer, P., Dabhi, A., & Chudasama, H. (2023). Sampling methods in research: A review. International Journal of Trend in Scientific Research and Development, 7(3), 762–768. www.ijtsrd.com/papers/ijtsrd57470.pdf
Mayer, R. E. (2020). Multimedia learning (3rd ed.). Cambridge University Press. https://doi.org/10.1017/9781316941355
Mehrvarz, M., Heidari, E., Farrokhnia, M., & Noroozi, O. (2021). The mediating role of digital informal learning in the relationship between students' digital competence and their academic performance. Computers & Education, 167, 104184. https://doi.org/10.1016/j.compedu.2021.104184
Ocaya, J. N. Jr. (2026). Training resource management and academic leadership as predictors of institutional performance in a maritime higher education institution. International Journal of Science and Management Studies, 9(2), 143–153. https://doi.org/10.51386/25815946/ijsms-v9i2p119
OECD. (2019). PISA 2018 results (Volume I): What students know and can do. OECD Publishing. https://doi.org/10.1787/5f07c754-en
OECD. (2023). PISA 2022 results (Volume I): The state of learning and equity in education. OECD Publishing. https://doi.org/10.1787/53f23881-en
Rotas, E. E., & Cahapay, M. B. (2020). Difficulties in remote learning: Voices of Philippine university students in the wake of the COVID-19 crisis. Asian Journal of Distance Education, 15(2), 147–158. https://doi.org/10.5281/zenodo.4299835
Schleppegrell, M. J. (2004). The language of schooling: A functional linguistics perspective. Lawrence Erlbaum Associates. https://doi.org/10.4324/9781410610317
Toquero, C. M. (2020). Challenges and opportunities for higher education amid the COVID-19 pandemic: The Philippine context. Pedagogical Research, 5(4), em0063. https://doi.org/10.29333/pr/7947
Tzafilkou, K., Perifanou, M., & Economides, A. (2022). Development and validation of students' digital competence scale (SDiCoS). International Journal of Educational Technology in Higher Education, 19, 30. https://doi.org/10.1186/s41239-022-00330-0
UNESCO. (2017). Education for sustainable development goals: Learning objectives. UNESCO Publishing.
Zakir, S., Hoque, M. E., Susanto, P., Nisaa, V., Alam, M. K., Khatimah, H., & Mulyani, E. (2025). Digital literacy and academic performance: The mediating roles of digital informal learning, self-efficacy, and students' digital competence. Frontiers in Education, 10, Article 1590274. https://doi.org/10.3389/feduc.2025.1590274
Zhao, Y., Pinto Llorente, A. M., & Sánchez Gómez, M. C. (2021). Digital competence in higher education research: A systematic literature review. Computers & Education, 168, 104212. https://doi.org/10.1016/j.compedu.2021.104212
Zhao, Z., Ren, P., & Yang, Q. (2024). Student self-management, academic achievement: Exploring the mediating role of self-efficacy and the moderating influence of gender—Insights from a survey conducted in 3 universities in America. Journal of Integrated Social Sciences and Humanities, 1(1), 1–12. https://doi.org/10.62836/jissh.v1i1.159
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