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Modelling and Data Analysis
2020. Vol. 10, no. 3, 39–52
https://doi.org/10.17759/mda.2020100303
ISSN: 2219-3758 / 2311-9454 (online)

Model of Adaptive Learning and His Implementation

 
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Abstract

The presented project is aimed at automating the e-learning process regarding the acquisition of practical skills for solving non-formalized tasks, determining the level of knowledge and reducing the duration of training by reducing the number of tasks depending on the level of training. To meet these requirements, an adaptive testing approach was implemented and “Adaptive trainer” web-service was implemented to demonstrate how it works.

General Information

Keywords: adaptive training, markov random process, adaptive trainer, self-learning systems, information systems implementation

Journal rubric: Software

OpenAlex citations: 2

OpenAlex trends: Intelligent Tutoring Systems and Adaptive Learning, Online Learning and Analytics, Educational Technology and Assessment

Information about the work in OpenAlex

Number of citations: 2

Topics

Intelligent Tutoring Systems and Adaptive Learning

This cluster of papers focuses on the effectiveness and impact of intelligent tutoring systems, exploring topics such as cognitive-affective interaction, meta-cognitive skills, knowledge tracing, student modeling, and adaptive learning environments. It also delves into the use of educational agents, Bayesian networks, and pedagogical strategies to enhance learning outcomes.

Number of works: 64255  |  Total number of citations: 484064

Topic detailsв OpenAlex

Online Learning and Analytics

This cluster of papers focuses on the application of educational data mining and learning analytics in the context of online education, particularly Massive Open Online Courses (MOOCs). It explores topics such as predictive analysis of student performance, machine learning techniques for student engagement, and the impact of data-driven education on online learning. The cluster also delves into the challenges and opportunities associated with implementing learning analytics in higher education.

Number of works: 94856  |  Total number of citations: 846653

Topic detailsв OpenAlex

Educational Technology and Assessment

This cluster of papers explores the application of fuzzy logic, data mining, genetic algorithms, and concept mapping in educational assessment, including student performance evaluation, intelligent tutoring systems, adaptive learning, and diagnosis and remedial learning. The use of fuzzy logic for evaluating students' answerscripts and learning achievement is a prominent focus, along with the development of automatic examination paper generation systems and web-based testing approaches.

Number of works: 69254  |  Total number of citations: 148768

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2020100303

Funding. This work has been funded by the Moscow State University of Psychology and Education.

Published

For citation: Pominov, D.A. (2020). Model of Adaptive Learning and His Implementation. Modelling and Data Analysis, 10(3), 39–52. (In Russ.). https://doi.org/10.17759/mda.2020100303

© Pominov D.A., 2020

License: CC BY-NC 4.0

References

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Information About the Authors

Denis A. Pominov, Research Scholar, Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-1321-3713, e-mail: pominovda@mgppu.ru

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