Designing AI-Enabled Enterprise Architecture to Support Online Problem-Based Learning in Undergraduate Studies

This study proposes an intelligent Online Problem-Based Learning (OPBL) enterprise architecture, a systems-based framework explaining how OPBL operates effectively in undergraduate finance education. Using a mixed-methods design integrating questionnaires, interviews, and reflections, the research demonstrates that OPBL effectiveness emerges from the coordinated interaction of cognitive scaffolding, social collaboration, process-visible assessment, digital mediation, and governance safeguards rather than from isolated instructional techniques. Findings show that structured workflows, continuous feedback, facilitator presence, and intentional community design reduce cognitive load, enhance engagement, and support the development of employability skills such as problem-solving, critical thinking, and leadership. The chapter further argues that OPBL should be implemented as an enterprise learning architecture aligned with institutional quality frameworks and ethical governance, preparing finance graduates for digitally mediated and AI-enabled professional environments.