Análisis de los factores facilitadores del e-learning en la escuela primaria
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Palabras clave

e-learning
factores estratégicos del e-learning
cursos de primaria

Cómo citar

Khodarahmi, M., Nasiri, M., & Hosseinpour, M. (2024). Análisis de los factores facilitadores del e-learning en la escuela primaria. Revista Internacional De Organizaciones, (32), 103–122. https://doi.org/10.17345/rio32.457

Resumen

El presente estudio se llevó a cabo con el propósito de analizar los factores estratégicos que facilitan el aprendizaje electrónico de los estudiantes de escuelas primarias mediante un análisis descriptivo en Hamadan, Irán, en 2023. La comunidad de investigación incluye a todos los directores y maestros de las escuelas primarias de Hamedan (N = 917) seleccionados mediante métodos estratificados. método de muestreo aleatorio y fórmula de Cochran y con un nivel de error de 0,05 calculado para 294 participantes. El instrumento de investigación fue un cuestionario elaborado por el investigador cuya validez y confiabilidad fueron evaluadas y confirmadas. Para analizar los datos se utilizó estadística descriptiva, estadística inferencial y análisis factorial exploratorio, prueba de esfericidad de Bartlett e índice de adecuación muestral de KMO. El análisis de datos mostró que la creación de infraestructura tecnológica y servicios de apoyo, sistema educativo flexible, empoderamiento de los docentes para el uso. Como resultados del e-learning se identificaron equipos electrónicos, aceptación e incentivos, apoyo a directivos y gestión innovadora, sistemas legales, administrativos y financieros y estrategias de enseñanza y aprendizaje. Los hallazgos indicaron que los 7 factores estratégicos que facilitan el e-learning determinaron el 64,75% de la varianza de toda la prueba. Creación de infraestructura tecnológica y servicios de apoyo, Sistema educativo flexible, empoderamiento de los docentes para el uso de formularios de equipos electrónicos, Aceptación e incentivos, apoyo a los rectores y gestión innovadora, el sistema legal y administrativo, y las estrategias de enseñanza y aprendizaje definen 13%, 13%,10% , 9%, 7%, 7% y 5% de la varianza, respectivamente. Como resultado, la identificación de los factores estratégicos que facilitan el aprendizaje electrónico y el intento de superar los obstáculos de implementación mejoran el aprendizaje de los niños.

https://doi.org/10.17345/rio32.457
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Citas

ABBASI KASANI, H. & SHAMS, G. (2018). A research synthesis of critical success factors of e-learning: A model development. Technology of Education Journal (TEJ), 13(1), 25–39. https://doi.org/10.22061/jte.2018.3061.1777. [In Persian].

AL-JUDA, M. Q. B. (2017). Distance Learning Students’ Evaluation of E-Learning System in University of Tabuk, Saudi Arabia. Journal of Education and Learning, 6(4), 324–335.

AULIA, F. & UTAMI, W. B. (2021, September). Evaluation of e-Learning towards Improving 21st Century Learning Skills. In 2021 7th International Conference on Education and Technology (ICET) (pp. 167–170). IEEE.

BUTOLA, L. K. (2021). E-learning-a new trend of learning in 21st century during COVID-19 pandemic. Indian Journal of Forensic Medicine & Toxicology, 15(1), 423.

CHAI, C. S., KOH, E., LIM, C. P. & TSAI, C. C. (2014). Deepening ICT integration through multilevel design of technological pedagogical content knowledge. Journal of Computers in Education, 1(1), 1–17.

CHEN, F. S., LIAO, C. W. & CHEN, T. H. (2010). Notice of Retraction Adult Distance Education Students’ Perspective on Critical Success Factors of e-Learning. Paper presented at the International Conference on Education Technology and Training (ETT 2009) (ETT) Sanya.

CIDRAL, W. A., OLIVEIRA, T., DI FELICE, M. & APARICIO, M. (2018). E-learning success determinants: Brazilian empirical study. Computers & Education, 122, 273–290.

DANESHWAR, M. (2012). Support for teachers in e-learning. Media, 4(4), 25–41.

ELEZI, E. & BAMBER, C. (2021). Factors Affecting Successful Adoption and Adaption of E-Learning Strategies. In Enhancing Academic Research and Higher Education with Knowledge Management Principles (pp. 19–35). IGI Global.

GHAFURIAN, H. (2017). Identifying factors affecting e-learning in smart schools in Baharestan. Quarterly Journal of Information and Communication Technology in Educational Sciences, 8(4), 41–66.

GROS, B. & GARCÍA-PEÑALVO, F. J. (2016). Future trends in the design strategies and technological affordances of e-learning. Springer.

HERVIEUX, S. (2022). Ready for it? Training Library School Graduate Students to Provide Reference Services. TGLS. https://digitalcommons.kennesaw.edu/gradlibconf/2022/Day2/1/

INAN, F. A., FLORES, R. & GRANT, M. M. (2010). Perspectives on the Design and Evaluation of Adaptive Web-Based Learning Environments. Contemporary Educational Technology, 1, 148-159.

LATIP, M. S. A., TAMRIN, M., NOH, I., RAHIM, F. A., NUR, S. & LATIP, N. A. (2022). Factors Affecting e-Learning Acceptance among Students: The Moderating Effect of Self-efficacy. International Journal of Information and Education Technology, 12(2).

MAKKIZADEH, F., FARAJPAHLOU, A., OSAREH, F. & SHENIYAILAGH, M. (2012). Identification of Factors Affecting Academic Users’ Acceptance of Web-Based Databases: A Grounded-Theory Approach. Journal of Academic librarianship and Information Research, 46(1), 59–81. https://doi.org/10.22059/jlib.2012.28776. [In Persian].

MAZLOUM ARDAKANI, M., MANSOURI, S. & AKHAVAT, A. M. (2017). Identification and leveling of factors affecting the use of e-learning in Shahid Sadougi University of Medical Sciences, Yazd. Journal of Yazd Center for Studies and Development of Medical Sciences Education, 13(3), 194–208.

MOHAMMADIAN, S., GHASEMZADEH ALISHAHI, A. & RAFIEI, M. (2020). Causal Model of Acceptance and Use of Information and Communication Technology by Students of Tabriz University of Medical Sciences in Educational and Research Purposes Based on the UTAUT Model. Iranian Journal of Information Processing and management, 36(2), 391–418. [In Persian].

MOHAMMADI, A. A., SAGHARI, A. A. & BABAEI JOYBARI, F. (2014). Information Technology and E-Learning, National Conference on Computer Engineering and Information Technology Management, Tehran.

NAZERI, N., DARI, S. & ATASHI, A. (2016). Investigating factors affecting e-learning in medical sciences. Journal of Health and Biomedical Informatics. Medical Informatics Research Center, 4(2), 107–98.

POURKARIMI, J. & ALIMARDANI, Z. (2019). Factors Affecting Interactions in Electronic Learning Environments (a meta-composite study). Information and communication technology in educational sciences, 11(1), 25–44.

POURTAVAKOLI, A., ALINEJAD, M. & SCIENCEMAND, B. (2019). Design of Electronic Content Compilation Model Based on Factors Affecting Satisfaction with Electronic Learning. Education technology, 15(1), 119–138.

REZAEI RAD, M., ZAREI ZAVARAKI, E. & YOUSEFI SAEEDABAD, R. (2012). Identifying and prioritizing effective factors on developing intelligent schools. Educational Sciences Quarterly, 5(18), 109-121.

ROUMEZI, H., HOSSEINPOUR, M., BEHMAI, L. & NASIRI, M. (2021). Identifying, explaining and ranking indicators and factors for the creation and development of knowledge-based companies in the fields of humanities. Librarianship and information, 24(1), (Serial 93), 50–77.

SHAIDI, A. & SADEGHZADEH, S.H. (2011). Review of different e-learning design models. Interdisciplinary Journal of Virtual Education in Medical Sciences, 3(3), 33–38.

SHARIFI, A. & ISLAMIA, F. (2011). Evaluation of students’ information literacy standards and its relationship with e-learning orientation. Information and communication technology in educational sciences. Second year, 2(serial 6).

TAVALLAEE, R. (2020). Editorial: The Importance of Knowledge Management for Effective Electronic Learning in the Coronavirus Pandemic. Scientific Journal of Strategic Management of Organizational Knowledge, 3(9), 1–4. [In Persian].

WU, Y. & TSAI, C. (2006). University Students’ Internet Attitudes and Internet Self Efficacy: A Study at Three Universities in Taiwan. Mary Ann Liebert, Inc, cyberpsychology & behavior, 9(4), 441–450.

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