Learning Analytics Metamodel: Assessing the Benefits of the Publishing Chain's Approach.

In this work, we propose a learning analytics implementation based on a model-driven engineering approach. It aims at assessing the benefits that could arise from such an implementation, when pedagogical resources are produced via publishing chains, that already use the same approach to produce documents. Previously, we have discussed these potential benefits from a more theoretical point of view. In the present work, we present a concrete implementation of a meta-model to integrate a learning analytics system closely linked to the knowledge of the semantics and structure of any document produced, natively. Finally, we present an initial evaluation of this metamodel by modelers and discuss the limits of this metamodel and the future changes required.