Measuring online learning systems success: applying the updated DeLone and McLean model

Area of Science:

• Information Systems
• Educational Technology
• Higher Education

Background:

• Online learning systems (OLS) are increasingly prevalent in higher education.
• Understanding the factors driving successful OLS adoption is crucial for institutions.
• Existing models require updates to reflect the complexities of modern educational technology.

Purpose of the Study:

• To examine the determinants of successful online learning system use.
• To apply the updated DeLone and McLean information systems success model to OLS.
• To provide an expanded understanding of OLS success factors.

Main Methods:

• Survey of 232 undergraduate students.
• Utilized the updated DeLone and McLean information systems success model.
• Statistical analysis to determine significant factors affecting OLS use.

Main Results:

• System quality, information quality, and service quality significantly influence OLS use.
• User satisfaction and behavioral intention to use OLS act as mediators.
• The updated model effectively explains OLS success.

Conclusions:

• High system, information, and service quality are essential for successful OLS implementation.
• Fostering user satisfaction and intention to use is critical for technology adoption in education.
• The findings offer valuable insights for improving online learning environments.