Vol. 11 No. 8 (2025): August
Open Access
Peer Reviewed

The Relationship of Perceived Digital Competence and Attitude, and Learning Agility in Student Engagement

Authors

Nanang Sriyadi , Sofyan , Robi Hendra

DOI:

10.29303/jppipa.v11i8.10082

Published:

2025-08-25

Downloads

Abstract

This study explores the relationships between perceived digital competence, attitude towards digital technology, learning agility, and student engagement among 246 junior high school students in Muaro Jambi Regency. Using a quantitative approach and Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis, the research investigates how these variables interact to influence sustainable student engagement in a digitally enriched academic environment. The findings indicate that perceived digital competence significantly influences learning agility (β = 0.70), while its direct impact on student engagement is negligible (β = -0.02). Similarly, attitudes toward digital technology positively predict learning agility (β = 0.70) and moderately affect student engagement (β = 0.34). Learning agility emerges as a critical mediator, significantly contributing to student engagement (β = 0.48). These results emphasize the pivotal role of learning agility in bridging digital competence, attitudes, and engagement in academic contexts. The study underscores the importance of fostering adaptable and motivated learners to enhance engagement and calls for targeted interventions to strengthen students’ digital capabilities and attitudes. Future research should consider broader sample diversity and include additional antecedents to refine the model and enhance its generalizability.

Keywords:

Attitude Learning agility Perceived digital competence Student engagement

References

Albion, P., Getenet, S., Cantle, R., & Redmond, P. (2024). Students’ digital technology attitude, literacy and self-efficacy and their effect on online learning engagement. International Journal of Educational Technology in Higher Education, 21(3). https://doi.org/10.1186/s41239-023-00437-y

Aygül, N. S., & Şenyuva, E. (2022). Evaluating and improving learning agility in nursing students. Journal of Human Sciences, 19(3), 406–416. https://doi.org/10.14687/jhs.v19i3.6310

Chiu, T. K. F. (2022). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Journal of Research on Technology in Education, 54(S1), S14–S30. https://doi.org/10.1080/15391523.2021.1891998

Dubey, P., Pradhan, R. L., & Sahu, K. K. (2023). Underlying factors of student engagement to E-learning. Journal of Research in Innovative Teaching and Learning, 16(1), 17–36. https://doi.org/10.1108/JRIT-09-2022-0058

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage

Hair, J. F. (2016). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research This, 18(1), 39–50. Retrieved from https://www.jstor.org/stable/3151312

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202

Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing Measurement Invariance of Composite Scores. European Business Review, 28(1), 2–21. https://doi.org/10.1108/EBR-09-2015-0098

Hoeppner, B. B., Hoeppner, S. S., & Campbell, J. F. (2009). Examining trends in intake rates, client symptoms, hopelessness, and suicidality in a university counseling center over 12 years. Journal of College Student Development, 50(5), 539–550. https://doi.org/10.1353/csd.0.0090

Leonardsen, A. C. L., Hardeland, C., Hallgren, J., Femdal, I., Thapa, D. R., Helgesen, A. K., Bååth, C., Halvorsrud, L., Grøndahl, V. A., & Gillsjö, C. (2023). Nursing students’ attitudes towards the use of digital technology in the healthcare of older adults- a cross-sectional study in Norway and Sweden. BMC Nursing, 22(1). https://doi.org/10.1186/s12912-023-01600-6

Martzoukou, K., Fulton, C., Kostagiolas, P., & Lavranos, C. (2020). A study of higher education students’ self-perceived digital competences for learning and everyday life online participation. Journal of Documentation, 76(6), 1413–1458. https://doi.org/10.1108/JD-03-2020-0041

Martzoukou, K., Kostagiolas, P., Lavranos, C., Lauterbach, T., & Fulton, C. (2022). A study of university law students’ self-perceived digital competences. Journal of Librarianship and Information Science, 54(4), 751–769. https://doi.org/10.1177/09610006211048004

Novianti, P. A., Yudiana, W., & Novita, S. (2023). Can Learning Agility Predict Students’ Academic Burnout During Distance Learning. Journal of Educational, Health and Community Psychology, 1(1), 17. https://doi.org/10.12928/jehcp.v1i1.25098

OECD. (2015). Students, Computers and Learning: Making the Connection. Paris: OECD Publishing.

Patwardhan, V., Mallya, J., Shedbalkar, R., Srivastava, S., & Bolar, K. (2023). Students’ Digital Competence and Perceived Learning: The mediating role of Learner Agility. F1000Research, 11. https://doi.org/10.12688/f1000research.124884.2

Pedler, M., Hudson, S., & Yeigh, T. (2020). The teachers’ role in student engagement: A review. Australian Journal of Teacher Education, 45(3), 48–62. https://doi.org/10.14221/ajte.2020v45n3.4

Rachmad, Y. E., Agnesiana, B., Agama, I., Ambon, K. N., Sukmawati, E., Ramli, A., Islam, U., Sultan, N., Muhammad, A., Samarinda, I., Sandra, R., & Zebua, Y. (2023). The Analysis of Parenting Patterns in Instilling Morals of Early Childhood. JCD: Journal of Childhood Development CommonsAttribution-ShareAlike, 3(1), 2023. https://doi.org/10.25217/jcd

Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. SmartPLS GmbH. Journal of Service Science and Management, 10(3), 32–49. Retrieved from https://www.scirp.org/reference/ReferencesPapers?ReferenceID=2376307

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. Handbook of Market Research, 587–632. https://doi.org/10.1007/978-3-319-57413-4_15

Schnotz, W., & Wagner, I. (2018). Construction and elaboration of mental models through strategic conjoint processing of text and pictures. Journal of Educational Psychology, 110(6), 850–863. https://doi.org/10.1037/edu0000246

Štemberger, T., & Konrad, S. Č. (2021). Attitudes Towards Using Digital Technologies in Education as an Important Factor in Developing Digital Competence: The Case of Slovenian Student Teachers. International Journal of Emerging Technologies in Learning, 16(4), 83–98. https://doi.org/10.3991/ijet.v16i14.22649

Sukmawati, E., Adhicandra, I., Sucahyo, N., Ayuningtyas, A., & Nurwijayanti, K. N. (2022). Information System Design of Online-Based Technology News Forum. International Journal Of Artificial Intelligence Research, 1(2). https://doi.org/10.29099/ijair.v6i1.2.593

Sukmawati, E., & Imanah, N. D. N. (2024). Motivation for Pregnant Women to Get Covid-19 Vaccination. Jurnal Bidan Cerdas, 6(4). https://doi.org/10.33860/jbc.v6i4.3978

Worthington, D. L., & Levasseur, D. G. (2015). To provide or not to provide course PowerPoint slides? the impact of instructor-provided slides upon student attendance and performance. Computers and Education, 85, 14–22. https://doi.org/10.1016/j.compedu.2015.02.002

Yim, K. H., & Lee, I. (2021). The effect of achievement motivation on learning agility of nursing students: The mediating effect of self-leadership. Journal of Korean Academic Society of Nursing Education, 27(1), 80–90. https://doi.org/10.5977/jkasne.2021.27.1.80

Author Biographies

Nanang Sriyadi, Universitas Jambi

Author Origin : Indonesia

Sofyan, Universitas Jambi

Author Origin : Indonesia

Robi Hendra, Universitas Jambi

Author Origin : Indonesia

Downloads

Download data is not yet available.

How to Cite

Sriyadi, N., Sofyan, & Hendra, R. (2025). The Relationship of Perceived Digital Competence and Attitude, and Learning Agility in Student Engagement. Jurnal Penelitian Pendidikan IPA, 11(8), 970–976. https://doi.org/10.29303/jppipa.v11i8.10082