Integrating digital skills into English language teaching: Implications for teacher performance

DOI: https://doi.org/10.31876/rcs.v31i4.44838
Palabras clave: Digital skills, teacher performance, English language teaching, higher education, professional development

Resumen

Research underscores the importance of enhancing teachers’ digital competencies to effectively address contemporary educational challenges and improve educational quality. Therefore, this study aimed to examine the impact of digital skills on the teaching performance of English teachers at a private university in Lima, Peru. Adopting a quantitative approach with a non-experimental and correlational design, the study conducted surveys with 85 teachers. The results indicate a significant relationship between digital skills and overall teaching performance, explaining 71.4% of the variability. However, the study did not find a significant impact of digital skills on specific dimensions of teaching performance, such as disciplinary proficiency, didactic aspects, didactic thinking, motivation, and self-efficacy. This suggests that other factors, such as academic background and professional experience, may have a greater influence in these areas. Finally, the study highlighted the need for universities to prioritize the development of digital skills among educators, while recognizing the continued importance of traditional academic and professional factors in teaching effectiveness.

Descargas

La descarga de datos todavía no está disponible.

Biografía del autor/a

Jhonny Richard Rodriguez-Barboza

Doctor en Educación. Magister en Didáctica en Idiomas Extranjeros. Magister en Educación. Docente Investigador del Centro de Investigación de la Creatividad en la Universidad de Ciencias y Artes de América Latina, Lima, Perú. E-mail: jrodriguezb@ucal.edu.pe ORCID: https://orcid.org/0000-0001-9299-6164

Oscar David Carreño-Flores

Doctorando en Administración, enfocado en Fortalecer Habilidades de Investigación y Contribuir al Desarrollo del Campo Educativo. Magister en Negocios Internacionales. Docente de la Escuela de Posgrado en la Universidad César Vallejo, Lima, Perú. E-mail: ocarrenof@ucvvirtual.edu.pe ORCID: https://orcid.org/0009-0006-3082-7254

Marleni Mendoza-Zuñiga

Doctoranda en Administración, enfocado en Fortalecer Habilidades de Investigación y Contribuir al Desarrollo del Campo Educativo. Magister en Gestión Pública. Docente Investigadora de la Escuela de Posgrado en la Universidad César Vallejo, Lima, Perú. E-mail: mmendozazu@ucvvirtual.edu.pe ORCID: https://orcid.org/0000-0002-4882-5592

Mary Hellen Mariela Michca-Maguiña

Doctora en Contabilidad y Finanzas. Doctora en Administración de la Educación. Docente Investigadora de la Escuela de Posgrado en la Universidad César Vallejo, Lima, Perú. E-mail: mmichcam@ucvvirtual.edu.pe ORCID: https://orcid.org/0000-0001-7282-5595

Citas

Ahmed, S., Nielsen, I. E., Tripathi, A., Siddiqui, S., Ramachandran, R. P., y Rasool, G. (2023). Transformers in time-series analysis: A tutorial.
arXiv:2205.01138. https://doi.org/10.1007/s00034-023-02454-8

Alarcón-Rodríguez, N. C., Castro-Pinzón, G. H., y Nauzan-Ceballos, V. H. (2024). Impacto de la tasa representativa del mercado en el IPC en Colombia. Reflexiones Contables, 7(2), 36-52. https://doi.org/10.22463/26655543.4669

Ayitey, M., Appiahene, P., Appiah, O., y Ninfaakang, C. N. (2023). Forex market forecasting using machine learning: Systematic literature review and meta-analysis. Journal of Big Data, 10, 9. https://doi.org/10.1186/s40537-022-00676-2

Bahdanau, D., Cho, K., y Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate. Proceedings of the International Conference on Learning Representations, arXiv:1409.0473. https://doi.org/10.48550/arXiv.1409.0473

Blagov, B. (2019). Exchange rate uncertainty and import prices in the euro area. Review of International Economics, 27(5), 1537-1572. https://doi.org/10.1111/ROIE.12434

Dhasmana, A. (2013). Real effective exchange rate and manufacturing sector performance: Evidence from Indian firms. IIM Bangalore Research Paper No. 412. https://doi.org/10.2139/SSRN.2284077

Giramkar, N. S. (2020). Multivariable Regression Analysis for prediction of factors affecting car mileage. Journal of Emerging Technologies and Innovative Research, 7(9), 1258-1263. https://www.jetir.org/view?paper=JETIR2009171

Lira, M. V., y Senhorinho, E. W. (2022). Aplicação do modelo ARIMA para previsão de vendas da rede de farmácias Rossmann. In T. Nepomuceno, R. Lima y N. Rodrigues (Eds.), Avanços na Análise de Séries Temporais Livro de Aplicações (Vol. 1, pp. 144-162). Editora Educacionista. https://doi.org/10.31235/osf.io/v4wce

Maknickiene, N., Stankeviciene, J., y Maknickas, A. (2020). Comparison of forex market forecasting tools based on evolino ensemble and technical analysis indicators. Romanian Journal of Economic Forecasting, XXIII(3), 134-148. https://ipe.ro/new/rjef/rjef3_20/rjef3_2020p134-148.pdf

Meneses, M., Toro, J. S., y Riascos, J. C. (2017). El comportamiento del precio del petróleo y la volatilidad en la tasa de cambio: Análisis de impacto de las variaciones del WTI y de la tasa de interés referencia sobre la tasa de cambio nominal en Colombia, periodo 2013-2015. Tendencias, 18(1), 13-40. https://doi.org/10.22267/rtend.171801.62

Mignon, V. (2024). Principles of Econometrics: Theory and applications. Springer International Publishing. https://doi.org/10.1007/978-3-031-52535-3

Molina, R., y Peña, D. M. (2021). Forecasting the future trend of the EUR/USD exchange rate, using advanced technical analysis tools. Centro Sur, 6(2), 74-97. https://doi.org/10.37955/cs.v6i2.241

Richardson, A. M., Joshy, G., y D’Este, C. A. (2018). Understanding statistical principles in linear and logistic regression. The Medical Journal of Australia, 208(8), 332-334. https://doi.org/10.5694/MJA17.00222

Sharma, A. (2023). Exchange rate shocks, multinational firms and access to finance. Review of International Economics, 32(3), 907-933. https://doi.org/10.1111/roie.12708

Sprockel, J. J., Ramírez, A., y Jiménez-Canizales, C. E. (2023). Editorial. Inteligencia artificial y aprendizaje automatizado, ¿oportunidad o amenaza? Revista Colombiana de Endocrinología, Diabetes & Metabolismo, 10(2), 2-5. https://doi.org/10.53853/encr.10.2.797

Superintendencia Financiera de Colombia – SFC (2015). Circular Reglamentaria Externa DODM-146. 18 de diciembre de 2015. https://www.banrep.gov.co/sites/default/files/reglamentacion/archivos/Boletin_64_18_dic_2015_%20DODM_146.pdf

Yu, L., Wang, S., y Lai, K. K. (2005). A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates. Computers & Operations Research, 32(10), 2523-2541. https://doi.org/10.1016/j.cor.2004.06.024
Publicado
2025-12-09
Cómo citar
Rodriguez-Barboza, J. R., Carreño-Flores, O. D., Mendoza-Zuñiga, M., & Michca-Maguiña, M. H. M. (2025). Integrating digital skills into English language teaching: Implications for teacher performance. Revista De Ciencias Sociales, 31(4), 45-58. https://doi.org/10.31876/rcs.v31i4.44838
Número
Vol. 31 Núm. 4 (2025)
Sección
Artículo en Inglés
Creative Commons License
Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0.

Artículos más leídos del mismo autor/a