MODEL OF ASSESSING DISTANCE LEARNING SATISFACTION:
A PERSPECTIVE OF STUDENTS FROM UNIVERSITY OF
ECONOMICS Cover Image

MODEL OCENY SATYSFAKCJI NAUCZANIA ZDALNEGO – PERSPEKTYWA STUDENTÓW UNIWERSYTETU EKONOMICZNEGO
MODEL OF ASSESSING DISTANCE LEARNING SATISFACTION: A PERSPECTIVE OF STUDENTS FROM UNIVERSITY OF ECONOMICS

Author(s): Edyta Bielińska-Dusza, Monika Hamerska, Agnieszka Żak
Subject(s): Sociology of Education, Distance learning / e-learning
Published by: Szkoła Główna Handlowa w Warszawie
Keywords: satisfaction; distance learning; higher education; Sars-Cov2; distance learning satisfaction; e-learning; education; teaching; methods of academic education; model; confirmative factor analysis; students of economics;

Summary/Abstract: The aim of this study is to isolate the hidden factors affecting the assessment of studentsatisfaction with distance learning. The added value of this research lies in creating a satis-faction assessment model based on the opinions of students from economic universities whohad not used previously engaged with this teaching from but had to switch to distance learn-ing due to the Sars-Cov2 pandemic. Both first and second-order confirmatory factor analy-sis (CFA) were used to achieve the goal. Defining the evaluation of satisfaction with distancelearning as a second-order factor allowed us to confirm that three elements properly reflectthe evaluation system: academic staff and teaching aids (PR), the participant in distance learn-ing (TS), and equipping the participant with IT tools (SP). The conducted analyses also indi-cated that aspects related to well-prepared academic staff and appropriately selected teachingaids have the most significant impact on the level of satisfaction. A higher level of assessmentpositively affects the attitude and feelings of the participant in distance learning. The anal-ysis also revealed that having the right IT tools impacted this assessment to a lesser extent.According to the authors, this is attributed to the scientific staff ’s proper selection of tools.

  • Issue Year: 193/2023
  • Issue No: 2
  • Page Range: 71-99
  • Page Count: 19
  • Language: English
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