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

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

doi:10.1109/access.2020.2979277

Cited by 11 publications

(13 citation statements)

References 8 publications

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“…The system tracks and accumulates the learner’s success, which is available to both the instructor and the learner. The intelligent grading system uses fuzzy logic and it is described in detail (Barlybayev et al, 2020 ).…”

Section: Related Workmentioning

confidence: 99%

Personalized training model for organizing blended and lifelong distance learning courses and its effectiveness in Higher Education

et al. 2021

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The main goal of this research is to improve the personification of learning in higher education. The proposed flexible model for organizing blended and distance learning in higher education involves the creation of an individual learning path through testing students before the start of training. Based on the learning outcomes, the student is credited to the learning path. The training path consists of mandatory and additional modules for training; additional modules can be skipped after successfully passing the test, without studying these modules. The paper examines the composition of intelligent learning systems: student model, learning model and interface model. A student model is described, which contains the level of their knowledge, skills and abilities, the ability to learn, the ability to complete tasks (whether they know how to use the information received or not), personal characteristics (type, orientation) and other factors. The student’s model is described by a mathematical formula. Thus, being described using logical rules, which have formed the basis for the software implementation of mixed and distance learning rules for lifelong learning courses. There is an interface model presented in the paper, and the results of the course of the proposed flexible model for the organization of mixed and distance learning “Digital Skills of a Modern Teacher in the Context of Distance Learning”, as well as the face-to-face course “Digital Learning for Everyone” before the start of the pandemic which is close in its content to the course under study. Based on the results of the analysis, we introduced criteria for the effectiveness of the training course, proposed the weighting coefficients for evaluating the training course, carried out the assessment and drew conclusions.

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Section: Related Workmentioning

confidence: 99%

Personalized training model for organizing blended and lifelong distance learning courses and its effectiveness in Higher Education

et al. 2021

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“…Ruangvanich et al [63] IEEE Architecture of a learning analysis system in a virtual intelligent learning environment as a tool to support student learning. Barlybayev et al [64] IEEE Intelligent system for assessing students' professional skills levels in e-learning. Leithardt et al [65] IEEE Control system for learning environments specialized in special education.…”

Section: Learning Systemsmentioning

confidence: 99%

“…Among the 51 articles analyzed, only three presented assessment tools (Table 7): Domain-specific language to customize online learning assessments in Moodle [29], a system called Enriched Learning Analytics Rubric (LAe-R) [33], and an intelligent system for assessing students' professional skills levels in e-learning [64].…”

Section: Assessment Toolmentioning

confidence: 99%

A Literature Review on Intelligent Services Applied to Distance Learning

et al. 2021

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Distance learning has assumed a relevant role in the educational scenario. The use of Virtual Learning Environments contributes to obtaining a substantial amount of educational data. In this sense, the analyzed data generate knowledge used by institutions to assist managers and professors in strategic planning and teaching. The discovery of students’ behaviors enables a wide variety of intelligent services for assisting in the learning process. This article presents a literature review in order to identify the intelligent services applied in distance learning. The research covers the period from January 2010 to May 2021. The initial search found 1316 articles, among which 51 were selected for further studies. Considering the selected articles, 33% (17/51) focus on learning systems, 35% (18/51) propose recommendation systems, 26% (13/51) approach predictive systems or models, and 6% (3/51) use assessment tools. This review allowed for the observation that the principal services offered are recommendation systems and learning systems. In these services, the analysis of student profiles stands out to identify patterns of behavior, detect low performance, and identify probabilities of dropouts from courses.

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“…Among the 51 articles analyzed, only 3 presented assessment tools (Table 7): Domainspecific language to customize online learning assessments in Moodle [24], an evaluation tool called Enriched Learning Analytics Rubric (LAe-R) [28], and an intelligent system for assessing students' professional skills levels in e-learning [59]. Intelligent system for assessing students' professional skills levels in e-learning.…”

Section: Assessment Toolmentioning

confidence: 99%

“…LAe-R was considered a stable and promising assessment tool that can fill the gap in evaluating student performance in e-learning environments using student interaction data. Barlybayev et al [59] proposed the creation of an intelligent system for assessing students' professional skills levels in e-learning. Mathematical models and methods were used to evaluate the formation of students' professional skills at the level of subjects, modules, and the entire educational program.…”

Section: Assessment Toolmentioning

confidence: 99%

A Literature Review on Intelligent Services Applied to Distance Learning

Silva¹,

Dias²,

Rigo³

et al. 2021

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Distance learning has assumed a relevant role in the Educational scenario. The use of Virtual Learning Environments contributes to obtain a substantial amount of educational data. In this sense, the analyzed data generate knowledge used by institutions to assist managers and professors in strategic planning and teaching. The discovery of students’ behaviors enables a wide variety of intelligent services for assisting in the learning process. This article presents a literature review in order to identify the intelligent services applied in distance learning. The research covers the period from January 2010 to May 2021. The initial search found 1,316 articles, among which 51 were selected for further studies. Considering the selected articles, 33% (17/51) focus on learning systems, 35% (18/51) propose recommendation systems, 26% (13/51) approach predictive systems or models, and 6% (3/51) use assessment tools. This review allowed to observe that the principal services offered are recommendation systems and learning systems. In these services, the analysis of student profiles stands out to identify patterns of behavior, detect low performance and identify probabilities of dropouts from courses.

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

Cited by 11 publications

References 8 publications

Personalized training model for organizing blended and lifelong distance learning courses and its effectiveness in Higher Education

Personalized training model for organizing blended and lifelong distance learning courses and its effectiveness in Higher Education

A Literature Review on Intelligent Services Applied to Distance Learning

A Literature Review on Intelligent Services Applied to Distance Learning

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