Determinants of learning outcomes with online teaching based on students’ perception


  • Viktorija Petrov University of Novi Sad, The Faculty of Economics in Subotica, Novi Sad, Serbia
  • Zoran Drašković University Business Academy in Novi Sad, Faculty of Economics and Engineering Management, Novi Sad, Serbia
  • Đorđe Ćelić University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
  • Matej Rus University of Maribor, Faculty of Economics and Business, Maribor, Slovenia



online learning, success factors, learning outcomes, PLS modelling


Background: Research on the topic of determining success of online learning is on the rise. Defining the key success factors, i.e. determinants of online learning success, is extremely important, especially at present as all higher education institutions have been forced to try their hand at teaching with the help of technology.

Purpose: Thus a research examining factors of learning outcomes of online learning was conducted. Learning outcomes were modelled as dependent variable, while the set of independent model variables included: course design, student motivation, student self-regulation and dialogue (instructor-student, student-student).

Study design/methodology/approach: Five research hypotheses were tested by analysing data collected from the students of the University of Novi Sad. A structured questionnaire was employed to collect data on the attitudes of users (students) to online learning. Respondents expressed their views (perception) about statements and valued them on a 5 point Likert scale. The instrument was applied to a sample of 360 responses using PLS structural equation modelling. 

Findings/conclusions: All five hypothesis were supported with the analysis, confirming the importance of research from the aspect of contribution to the literature dedicated to identifying the key success factors of online learning. Additional contribution refers to the research conducted in Serbia, i.e. at the University of Novi Sad.

Limitations/future research: A more detailed analysis of the model itself and the possibility of finding the interdependence of constructs that affect perceived learning outcomes and user satisfaction remains as an area for further research.