Intelligent Futures Begin with Usable Systems: A Dual-Lens Analysis of Learning Management System Usability and Artificial Intelligence Adoption Readiness at the University of the Philippines Open University

As Artificial Intelligence (AI) becomes increasingly embedded in education, understanding user readiness is essential for successful integration. This study examines how perceived usability of the University of the Philippines Open University’s learning management system, MyPortal, influences openness to AI-driven innovation. The analysis is guided by the proposed concept of User Readiness for Intelligent Innovation, which links system usability with user attitudes towards emerging intelligent technologies. A predominantly quantitative mixed-methods approach was used, drawing from 73 complete responses across undergraduate, graduate, and non-degree learners, supported by qualitative feedback on usability challenges. Usability was assessed using the System Usability Scale, while AI adoption readiness was measured using the General Attitudes Towards Artificial Intelligence Scale and future-oriented attitude items. The results show that System Usability Scale scores varied but averaged near the benchmark for acceptable usability. Correlation analyses reveal that higher usability ratings correspond with more positive attitudes towards AI in both education and society. In contrast, lower usability ratings are associated with increased scepticism, particularly concerning reliability, ethical use, and concerns about surveillance and control. Qualitative responses further indicate issues related to navigation, layout consistency, and overall interface clarity. These findings affirm that usability is not only a technical requirement but a strategic foundation for intelligent innovation. When systems operate intuitively and reliably, users are more confident and more receptive to AI-enhanced features. Based on these insights, the study offers strategic recommendations that include prioritising usability, integrating AI contextually, strengthening AI literacy, ensuring transparent communication, and establishing continuous feedback mechanisms to support responsible and learner-centred transformation.

DOI: https://doi.org/10.64233/BUGI8353