Learning objects are open educational resources built with a learning design at the core. The common reference to a materialised learning object is a SCORM package. Given the proper metadata-rich context the learning objects aspire to be articulated components in a learning object repository. These structures need to evolve past data silo architecture, and the learning objects' digital representations need to become FAIR (Findable, Accessible, Interoperable, Reusable) digital objects, a transformation involving better architectures than today's. One particular point for exploration is the structure of the possible future type of object keeping an open perspective on how open pedagogy and open education are shaping the content. The following paper is stepping on the exploratory path of what the enabling technologies and description standards and models are readily available to realize such beneficial transformation. The investigation will take into account the ontologies used presently to establish the rich metadata, and will continue with interest in existing practices that expose these digital objects to the users or the machines that parse, collect, and index data snippets like JSON-LD ones. The final inquiries will target data models, communication protocols, and representation formats able to link knowledge objects in a data mesh following linked open data standards. Based on the live evidence a future development model will be projected.

learning object, knowledge object, fair digital objects, learning digital object, learning technologies