Work

Analysis of factors influencing MOOC quality based on I-DEMATEL-ISM method

Year: 2025

Type: article

Abstract: The quality of MOOCs is influenced by multiple factors. This paper proposes a new method, I-DEMATEL-ISM, which combines intuitionistic fuzzy sets with DEMATEL (Decision testing and evaluation laboratory) and ISM (Interpretive structural modeling), to analyze the relationships between these factors and identify strategies for improving MOOC quality. In the first, six key factors were selected through literature research and expert consultations. Then, the interrelationships between the six factors were analyzed. Finally, interpretive structural modeling was established. The analysis revealed that course teachers are fundamental factors, while course content and management are intermediate factors. Learning platforms, tasks, and materials are surface factors. Improving surface factors can enhance MOOC quality in the short term, while improving intermediate and fundamental factors can create a sustainable cycle of quality improvement.

Source: Systems and Soft Computing

DOI: 10.1016/j.sasc.2025.200220

Authors: Liang Zhou, Mingyun Tang, Jian Liu

Institution: Anhui University of Science and Technology

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,870