Abstract:

The effective educational curricula are developed and implemented by scientific and pedagogical staff for many years manually. The paper is above innovative methodology of automated curriculum creation as well as the described in the paper software uses methods for determining similar documents, where documents and queries are presented using index terms or keywords, and disciplines. The developed software builds automatically a graph of disciplines’ connectivity using a list of basic concepts that can be manually installed by experts or can be obtained automatically also from the ontological model of the subject area, presented in the form of a semantic network.

While creating curricula, it is necessary to distribute studied disciplines effectively, to eliminate topics’ duplications, to ensure module’s consistency and interconnection. The content, aims and methods are included into the curriculum for every studying discipline.

The developed software helps experts:
1) to estimate the quality of the curriculum using automatic analysis of the curriculum documents;
2) to identify relationships between disciplines and concepts inside of the discipline;
3) to improve existing curriculum.

The developed system is based on a principle of semantic relations’ identifying. The author’s hybrid algorithm selects the key concepts from the discipline’s description and determines the measure of connectedness. The map of concepts created by the system represents their location, which are relative to each other. The most related to each other concepts are nearby.

To help to prepare the curriculum it is also necessary to determine the degree of disciplines’ interconnectedness. More interconnected disciplines need to be studied by students sequentially. The less connected disciplines can be arranged independently of each other. The result of the software work is a reduction of the academic hours needed.

Acknowledgement:
The discussed in this paper results were obtained partly in the framework of the Research Project titled "Component's digital transformation methods' fundamental reseach for micro- and nanosystems" (Project #0750-2020-0041) financially supported be the Russian Federation Ministry of Science and Higher Education

Keywords:

Curriculum, ontology, software system, educational process, qualities characteristics, key concepts.