Reinforcing Learning Management System With OBE-Based Learning Analytics and RIASEC Integration

The emergence of the COVID-19 pandemic brought unparalleled disruptions in people's way of living. Most transactions are done online to practice social distancing. Face-to-face classes were suspended, forcing educational institutions to migrate into flexible learning modalities. Hence, higher education institutions universally utilize learning management systems (LMS) to manage online classes. During this period, outcomes based education’s (OBE) performance was challenging to analyze. This prompted the researchers to explore the integration of OBE learning analytics and RIASEC model into existing LMS to enhance educational outcomes. OBE focuses on achieving student learning outcomes, while the RIASEC model categorizes career interests into six personality types: realistic, investigative, artistic, social, enterprising, and conventional. By combining these frameworks, educators can provide a more personalized learning experience. The integration allows for the continuous monitoring of learners’ performance, improves instructional strategies to meet individual needs, and career aspirations. This paper reviews current literature on the benefits and challenges of implementing OBE-based learning analytics and RIASEC in LMS, demonstrating how this approach can enhance student engagement, improve learning outcomes, and align educational activities with career goals. The findings suggest that this integrated approach holds significant promise for advancing personalized education and preparing learners for successful careers.