Abstract

An academic knowledge base (AKB) can be considered a system that, based on a set of specific information stored and organized, aims to provide knowledge, experience, and information relevant to a given knowledge domain. Thus, the elements that make up a BCA are diverse and may include databases, systems, and knowledge repositories (KR). A K-R stores knowledge in a structured way, containing information based on experience: lessons learned, best practices, directories of expertise, involving the search, selection, explanation, codification, evaluation, and dissemination of experience, with potential provision for a BC. This article presents the processes and methodological flow for creating an RC that integrates an AKB and is implemented in an ongoing project, applying the Design Science Research (DSR) method. As a result, there is a methodological proposal in the academic context, a problem centered on meaningful learning, artifacts that consider the input, processing, and output of learning objects, state of the art and theoretical framework that includes technologies and methods for modeling the proposal, and theoretical conjuncts that consider contributions related to access and dissemination of learning objects. In future work, the proposed modeling will be implemented in the AKB.

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