Artificial Intelligence (AI) has revolutionized various sectors, and education is no exception. Online learning platforms, in particular, have benefited significantly from integrating AI technologies. AI can enhance online education's quality and effectiveness by automating tasks, personalizing learning experiences, and providing real-time feedback. This study investigates the impact of AI on online learning system effectiveness in Jordanian higher education institutions. Utilizing the DeLone and McLean IS Success Model, the research explores the relationships between AI features, system quality, information quality, service quality, user satisfaction, and platform effectiveness.
Methodology
A quantitative research approach involving data collection through a structured questionnaire was employed. The questionnaire was designed to measure the perceived impact of AI on various aspects of online learning. Data was collected from a sample of learners and instructors at two selected Jordanian universities.
Findings
The findings revealed that AI has a significant positive impact on system quality, information quality, and service quality. AI-powered features can improve the technical aspects of the platform, enhance the quality of information, and provide better support services. Moreover, the study found a strong positive relationship between user satisfaction and platform effectiveness. Satisfied users were more likely to perceive the platform as effective, leading to improved learning outcomes and engagement.
Conclusion
This study provides valuable insights into the potential benefits of AI in enhancing online learning. By focusing on system quality, information quality, and service quality, institutions can effectively leverage AI to improve user satisfaction and platform effectiveness. Future research should explore the long-term impact of AI on learning outcomes and the ethical implications of AI-driven education.
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