The study focused on changing Moodle into an outcomes-oriented and learner-focused Learning Management System (LMS) through its usability limitations and adapting it to adaptive learning methods. The main purposes include (i) examining how adaptive learning features can increase the effectiveness of Moodle, (ii) examining how usability transformation can positively influence the learning outcomes, and (iii) suggesting practical solutions to the way to incorporate advanced technologies, including AI, ML, and analytics, into Moodle and improve its performance. The research design adopted was that of mixed methods, where quantitative survey, usability tests and learning analytics were coupled with qualitative interviews and focus groups. The sample size used in the data collection was 200 students in various learning institutions, which presented demographic and use information. The regression analysis showed that adaptive features positively enhanced LMS effectiveness ( β =.175, R 2 =.175), whereas usability transformation affected learning outcomes more ( 0.495, R 2 =.495). The results conclude that the transformation of Moodle into an adaptive, usability-based and outcome-oriented system is necessary. The integration of AI-enhanced personalization and predictive analytics can also be used to further improve usability, promote quantifiable learning results, and establish Moodle as a platform of the future-ready education.