Psychometric network of the online learning strategies questionnaire in Peruvian university students

Manuel Alejandro Concha-Huarcaya; Antonio Serpa-Barrientos; Luis Alberto Sosa-Aparicio; Enrique Giovanni Pérez-Flores; Jacksaint Saintila

doi:10.30935/cedtech/19184

Manuel Alejandro Concha-Huarcaya ¹, Antonio Serpa-Barrientos ², Luis Alberto Sosa-Aparicio ¹, Enrique Giovanni Pérez-Flores ¹, Jacksaint Saintila ³ ^*

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CONT ED TECHNOLOGY, Volume 18, Issue 4, Article No: ep685

https://doi.org/10.30935/cedtech/19184

Submitted: 03 April 2026, Published Online: 20 August 2026

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Abstract

Online learning strategies refer to the methods and approaches students use to organize study activities, manage course content, and regulate participation in virtual learning environments. These strategies are relevant to educational technology because they provide measurable indicators that can inform instructional design, learning analytics, adaptive learning systems, and student support in online and blended courses. This study examined the psychometric properties of the online learning strategies scale (OLSS) using a psychometric network analysis approach in Peruvian university students. The sample included 520 university students (389 women = 74.8%; 131 men = 25.2%) aged 18 to 40 years. Descriptive analyses were conducted to evaluate item distributions. The psychometric network structure of the OLSS was then estimated using exploratory graph analysis with bootstrap procedures, followed by assessment of community stability and structural consistency. The results identified a four-community structure corresponding to motivation, self-control, Internet literacy, and Internet anxiety. The network showed high structural stability, with bootstrap replication values close to 1.00 for most items and high structural consistency across communities. These findings support the internal structure and reliability of the OLSS in the studied population. From an educational technology perspective, the OLSS may help instructors and instructional designers identify students requiring motivational, self-regulatory, digital literacy, or affective support in technology-enhanced learning environments.

Keywords: online learning, online learning strategies, educational technology, network analysis, psychometrics, university students

References

Ato, M., López, J. J., & Benavente, A. (2013). A classification system for research designs in psychology. Anales de Psicología / Annals of Psychology, 29(3), 1038-1059. https://doi.org/10.6018/analesps.29.3.178511
Beltrán, J., Pérez, L., & Ortega, M. (2006). Cuestionario de estrategias de aprendizaje [Learning strategies questionnaire]. TEA Ediciones.
Borsboom, D., & Cramer, A. O. J. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91-121. https://doi.org/10.1146/annurev-clinpsy-050212-185608
Briganti, G., Decety, J., Scutari, M., McNally, R. J., & Linkowski, P. (2022). Using Bayesian networks to investigate psychological constructs: The case of empathy. Psychological Reports, 127(5), 2334-2346. https://doi.org/10.1177/00332941221146711
Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24-32. https://doi.org/10.1016/j.iheduc.2017.01.004
Castillo, V., Cabezas, N., Vera, C., & Toledo, C. (2021). Ansiedad al aprendizaje en línea: Relación con actitud, género, entorno y salud mental en universitarios [Online learning anxiety: Relationship with attitude, gender, environment and mental health in university students]. Revista Digital de Investigación en Docencia Universitaria, 15(1), 2223-2516. https://doi.org/10.19083/10.19083/ridu.2021.1284
de Oliveira, P. D., da Veiga-Simão, A. M. V., Ferreira, P. C., & Ferreira, A. I. (2022). Perceiving learning regulation with Moodle: Implications for guidance. Revista Española de Orientación y Psicopedagogía, 33(1), 87-107. https://doi.org/10.5944/reop.vol.33.num.1.2022.33759
Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617-634. https://doi.org/10.1037/met0000167
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195-212. https://doi.org/10.3758/s13428-017-0862-1
Fonseca-Pedrero, E. (2018). Análisis de redes en psicología [Network analysis in psychology]. Papeles del psicólogo, 39(1), 1-12. https://doi.org/10.23923/pap.psicol2018.2852
Freeborn, L., Andringa, S., Lunansky, G., & Rispens, J. (2023). Network analysis for modeling complex systems in SLA research. Studies in Second Language Acquisition, 45(2), 526-557. https://doi.org/10.1017/S0272263122000407
Gargallo, B., Almerich, G., Suárez-Rodríguez, J., & García-Félix, E. (2009). Estilos y estrategias de aprendizaje en estudiantes universitarios y su relación con el rendimiento académico [Learning styles and strategies in university students and their relationship with academic performance]. Revista de Psicodidáctica, 14(1), 25-46. https://doi.org/10.7203/relieve.18.2.2000
Golino, H. F., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS ONE, 12(6), Article e0174035. https://doi.org/10.1371/journal.pone.0174035
Halim, A., & Sunarti, S. (2021). Online instructional strategies for English language learning during COVID-19 pandemic: A case from a creative teacher. Journal of Applied Linguistics and Literature, 6(1), 87-96. https://doi.org/10.33369/joall.v6i1.12452
Hambleton, R. K., & Patsula, L. (1999). Increasing the validity of adapted tests: Myths to be avoided and guidelines for improving test adaptation practices. Journal of Applied Testing Technology, 1, 1-13.
Hernández-Sampieri, R., & Mendoza, C. (2018). Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta [Research methodology. The quantitative, qualitative, and mixed approaches]. McGraw Hill.
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning
Islam, M., Mazlan, N. H., Al, M. G., Hoque, M. S., Karthiga, S. V., & Reza, M. (2023). UAE university students’ experiences of virtual classroom learning during COVID-19. Smart Learning Environments, 10(1), Article 5. https://doi.org/10.1186/s40561-023-00225-1
Luo, R.-Z., & Zhou, Y.-L. ( 2024 ). The effectiveness of self-regulated learning strategies in higher education blended learning: A five years systematic review. Journal of Computer Assisted Learning, 40( 6 ), 3005-3029 . https://doi.org/10.1111/jcal.13052
Meza-Lopez, L., Torres Velandia, S., & Lara-Ruiz, J. (2016). Estrategias de aprendizaje emergentes en la modalidad e-learning [Emerging learning strategies in e-learning]. RED-Revista de Educación a Distancia, 48(5), 2-21. https://doi.org/10.6018/red/48/5
Mheidly, N., Fares, M., &., & Fares, J. (2020). Coping with stress and burnout associated with telecommunication and online learning. Frontiers in Public Health, 8. https://doi.org/10.3389/fpubh.2020.574969
Moore, M. G. (2023). From correspondence education to online distance education. In O. Zawacki-Richter, & I. Jung (Eds.), Handbook of open, distance and digital education (pp. 27-42). Springer. https://doi.org/10.1007/978-981-19-2080-6_2
Palaming, A. G. (2022). Online instructional strategies. EPRA International Journal of Multidisciplinary Research, 8(5), 176-179. https://doi.org/10.36713/epra10171
Román, J. M., & Gallego, S. (2001). ACRA, escalas de estrategias de aprendizaje [ACRA, learning strategies scales]. TEA Ediciones.
Soper, D. S. (2023). A-priori sample size calculator for structural equation models. Dr. Daniel Soper. https://www.danielsoper.com/statcalc/calculator.aspx?id=89
Tsai, M.-J. (2007). A pilot study of the development of online learning strategies scale (OLSS). In Proceedings of the 7^th IEEE International Conference on Advanced Learning Technologies (pp. 108-110). IEEE. https://doi.org/10.1109/ICALT.2007.30
Tsai, M.-J. (2009). The model of strategic e-learning: Understanding and evaluating student e-learning from metacognitive perspectives. Educational Technology & Society, 12(1), 34-48.
Tsai, M.-J., & Tsai, C.-C. (2003). Information searching strategies in web-based science learning: The role of Internet self-efficacy. Innovations in Education and Teaching International, 40(1), 43-50. https://doi.org/10.1080/1355800032000038822
Zekaj, R. (2023). The impact of online learning strategies on students’ academic performance: A systematic literature review. International Journal of Learning, Teaching and Educational Research, 22(2), 148-164. https://doi.org/10.26803/ijlter.22.2.9

Citation

Concha-Huarcaya, M. A., Serpa-Barrientos, A., Sosa-Aparicio, L. A., Pérez-Flores, E. G., & Saintila, J. (2026). Psychometric network of the online learning strategies questionnaire in Peruvian university students. Contemporary Educational Technology, 18(4), Article ep685. https://doi.org/10.30935/cedtech/19184

Concha-Huarcaya, M. A., Serpa-Barrientos, A., Sosa-Aparicio, L. A., Pérez-Flores, E. G., and Saintila, J. (2026). Psychometric network of the online learning strategies questionnaire in Peruvian university students. Contemporary Educational Technology, 18(4), ep685. https://doi.org/10.30935/cedtech/19184

Concha-Huarcaya MA, Serpa-Barrientos A, Sosa-Aparicio LA, Pérez-Flores EG, Saintila J. Psychometric network of the online learning strategies questionnaire in Peruvian university students. CONT ED TECHNOLOGY. 2026;18(4), ep685. https://doi.org/10.30935/cedtech/19184

Concha-Huarcaya, Manuel Alejandro, Antonio Serpa-Barrientos, Luis Alberto Sosa-Aparicio, Enrique Giovanni Pérez-Flores, and Jacksaint Saintila. "Psychometric network of the online learning strategies questionnaire in Peruvian university students". Contemporary Educational Technology 2026 18 no. 4 (2026): ep685. https://doi.org/10.30935/cedtech/19184

Concha-Huarcaya, Manuel Alejandro et al. "Psychometric network of the online learning strategies questionnaire in Peruvian university students". Contemporary Educational Technology, vol. 18, no. 4, 2026, ep685. https://doi.org/10.30935/cedtech/19184

Concha-Huarcaya MA, Serpa-Barrientos A, Sosa-Aparicio LA, Pérez-Flores EG, Saintila J. Psychometric network of the online learning strategies questionnaire in Peruvian university students. CONT ED TECHNOLOGY. 2026;18(4):ep685. https://doi.org/10.30935/cedtech/19184