TAXONOMY USAGE FOR POSTGRADUATE CONTENT IMPROVEMENT
DOI:
https://doi.org/10.11603/mie.1996-1960.2020.3.12391Keywords:
cognitive load, taxonomy, natural language texts taxonomization, ontology, interoperabilityAbstract
Background. The article is devoted to solving the problem of presenting medical knowledge in the process of content improving for postgraduate education to reduce cognitive load. The purpose: to highlight the methods of taxonomization of natural language texts and the formation of medical knowledge ontologies to improve the content of postgraduate education in order to reduce cognitive load.
Materials and methods. Results. Types of cognitive load and ways to reduce it are considered. The use of natural language texts taxonomization as an approach to the structuring of medical information and ontology for the integrated presentation of aggregated information resources in the learning process is proposed. An example of using ontology as an effective means of reducing cognitive load is given.
Conclusions. When developing the content of postgraduate studies, it is necessary to take into account the balance of types of cognitive load and follow certain rules to eliminate congestion. The use of taxonomy techniques for postgraduate content reduces cognitive load due to clear organization of terms and integrated presentation of aggregated information resources.
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