Intelligent System for Evaluating the Level of Formation of Professional Competencies of Students

Alibek Barlybayev, Zulfiya Kaderkeyeva, Gulmira Bekmanova, Altynbek Sharipbay, Assel Omarbekova, Serik Altynbek

IEEE Access, 2020

Full text Open access: Gold Metadata (CSL-JSON)

DOI 10.1109/access.2020.2979277

Data confidence 85 high

How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

This paper proposes the creation of an intelligent system for assessing the levels of professional competencies of students in e-learning. Mathematical models and methods for assessing the formation of professional competencies of students at the level of disciplines, modules and the entire educational program are built. Algorithms for calculating the assessment of levels of competency in the discipline, module, and educational program are developed. These estimates can be used in the formation of inference rules for making decisions on changing the structure and content of disciplines, modules and educational programs.