Determinants of online student academic achievement during the pandemic
DOI:
https://doi.org/10.56375/ve5.1-47Keywords:
pandemic, educational platform, learning, distance learning modalityAbstract
This study aims to analyze the determining factors in the academic achievement of online students during the pandemic Method: It is a qualitative, non-experimental, cross-sectional study, the type of research is descriptive and exploratory. The population was a university institution of higher education, which offers two educational modalities, face-to-face and distance, the random sampling method was used, including in the sample students who took at least one learning unit in the educational platforms, obtaining a response of 1028 students from different semesters and learning units. The quality of teaching, didactic material, motivation, commitment to learning, support and communication by teachers and the challenges of the learning environment are determining factors in the academic achievement of online students during the pandemic. Results: A survey was conducted and descriptive statistics were used to obtain students' perceptions, and qualitative data obtained from interviews were analyzed through content analysis. It was highlighted that 68% of them share their computation and sometimes 46% experience difficulties, and although 52% mention being in the right conditions, 53% do not wish to remain online. Conclusions: It is important to design educational strategies that are appropriate for each group of students and provide the necessary support to those who are experiencing difficulties. It is necessary to take into account the opinions of students and work together to improve the quality of online education and offer suitable options for all.
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References
Allen, I. E., & Seaman, J. (2017). Digital Compass Learning: Distance Education Enrollment Report 2017. Babson survey research group.
Association for the Study of Online Learning. (s.f.). Impacto de la pandemia en la motivación de los estudiantes universitarios en línea. Recuperado el 14 de marzo de 2023, de [enlace web]
Babbie, E. (2016). Métodos de investigación de encuesta (14th ed.). Cengage Learning.
Bao, W. (2020). COVID‐19 and online teaching in higher education: A case study of Peking University. Human behavior and emerging technologies, 2(2), 113-115.
Creswell, J. W. (2014). Research design: qualitative, quantitative, and mixed methods approaches (4th ed.). Sage Publications.
Means, B., Toyama, Y., Murphy, R. y Baki, M. (2013). La efectividad del aprendizaje en línea y combinado: un metanálisis de la literatura empírica. Registro universitario de maestros, 115 (3), 1-47.
National Center for Educational Policy Research. (s.f.). Estudio sobre el impacto de la pandemia en la educación superior: Problemas de conectividad y tecnología. Recuperado el 14 de marzo de 2023, de [enlace web]
Hernández, R., Fernández, C., & Baptista, P. (2014). Metodología de la investigación (6th ed.). McGraw Hill.
Hodges, C. B., & Fowler, D. J. (2020). The COVID-19 Crisis and Faculty Members in Higher Education: From Emergency Remote Teaching to Better Teaching through Reflection. International Journal of Multidisciplinary Perspectives in Higher Education, 5(1), 118-122.
Kahu, E. R., Picton, C., & Nelson, K. (2020). Pathways to engagement: A longitudinal study of the first-year student experience in the educational interface. Higher Education, 79, 657-673.
Xu, D. y Jaggars, SS (2014). Brechas de rendimiento entre cursos en línea y presenciales: diferencias entre tipos de estudiantes y áreas académicas. La Revista de Educación Superior, 85 (5), 633-659.
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Copyright (c) 2025 Vanessa Sarahí Martínez Sepúlveda, Sergio Guadalupe Torres Flores

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