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Online Learning and Student Satisfaction in the Context of the COVID-19 Pandemic

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Social Computing and Social Media: Applications in Marketing, Learning, and Health (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12775))

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Abstract

The end of the new normal that has resulted from the pandemic is uncertain. Meanwhile the effects of the introduction of new ways of doing things in the field of academic pedagogy are being studied from different perspectives. Within the series of trials and errors in the introduction of new technological teaching systems, greater amount of research is required, especially in populations of adult students who have suffered a deeper impact due to the pandemic, since their lives have changed by carrying out parenting, study and work processes from their homes.

Initially, a review of various models that study learning acceptance and student satisfaction was carried out. From them, a series of variables and dimensions were selected developing 5 hypotheses that were arranged to be measured by an information collection instrument that was applied through an online survey to a non-probabilistic sample of 148 adult students. Then, a structural equation model was used to explore online learning acceptance and satisfaction. The model utilizes 3 dimensions: perceived online support services, perceived ease of use, and perceived utility.

The main results made evident the key role of the perceived utility of online learning acceptance and student satisfaction. A second finding was the low importance of perceived ease-of-use in accepting online learning and student satisfaction. The authors concluded that several changes can be observed in the perception of students and in how they accomplish satisfaction and learning acceptance, if these are compared to previous studies.

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Authors and Affiliations

  1. Universidad Técnica Federico Santa María, Valparaíso, Chile

    Cristóbal Fernández-Robin, Gonzalo Améstica, Diego Yáñez & Edgard Toledo

Authors
  1. Cristóbal Fernández-Robin
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  2. Gonzalo Améstica
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  3. Diego Yáñez
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  4. Edgard Toledo
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Corresponding author

Correspondence to Cristóbal Fernández-Robin .

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Editors and Affiliations

  1. Department of Computer Science, Towson University, Towson, MD, USA

    Gabriele Meiselwitz

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Fernández-Robin, C., Améstica, G., Yáñez, D., Toledo, E. (2021). Online Learning and Student Satisfaction in the Context of the COVID-19 Pandemic. In: Meiselwitz, G. (eds) Social Computing and Social Media: Applications in Marketing, Learning, and Health. HCII 2021. Lecture Notes in Computer Science(), vol 12775. Springer, Cham. https://doi.org/10.1007/978-3-030-77685-5_16

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  • DOI: https://doi.org/10.1007/978-3-030-77685-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77684-8

  • Online ISBN: 978-3-030-77685-5

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