From the abstract: "This paper discusses the Personalization and Learning Analytics (PERLA) framework which represents the convergence of personalization and learning analytics and provides a theoretical foundation for effective analytics-enhanced personalized learning." It's important to not that the authors distinguish personalization from adaptation (or adaptive learning systems). "Personalization is learner-driven; the system only helps learners decide what to do next." Anyhow, the framework is based on a cycle alternating execution and evaluation (described by feed-forward and feedback indicators respectively). I'm not sure what it adds specifically but I can imagine it being referenced in future work in this area.
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