DLAModell
DLAModell is a flexible modeling framework used to analyze and forecast outcomes in digital learning environments. It is designed to handle diverse data streams, including learning management system logs, assessment results, and learner profiles, while supporting transparent and accountable decision making.
Architecturally, DLAModell combines a data integration layer, a modular modeling core, and an application layer that
Common use cases include predicting student performance, identifying at-risk learners, personalizing content and pacing, evaluating instructional
DLAModell values modularity and interpretability, enabling institutions to tailor the framework to their data and objectives.
Related concepts include learning analytics, adaptive learning, Bayesian networks, and time-series analysis. As with any education