Abstract
Learning analytics represents a transformative approach to understanding and enhancing the educational landscape. As higher education institutions recognize and embrace the potential of learning analytics, they unlock myriad benefits, fostering a more responsive and effective educational ecosystem. However, the design and implementation of learning analytics in the organization is a complicated process of planning, communicating, collaborating, and decision-making that involves multiple stakeholders, both inside and outside the organization. The paper examines 15 learning analytics models that discuss how to design and implement learning analytics in institutions. Four types of frameworks are identified: domain, process, level, and mixed. A holistic planner of organizational learning analytics is created because of the review.
