MULTI-AGENT SYSTEM FOR ASSESSING GROUP PROJECTS IN INTERNATIONAL EDUCATIONAL PROGRAMS (CASE STUDY: ERASMUS+)

The paper proposes a multi-agent system for assessing group projects, aimed at enhancing objectivity and transparency in the educational process. The system takes into account the individual contribution of each participant through automated data collection and analysis, including activity, work quality, and leadership skills. Special attention is paid to integration with international standards, such as ECTS, making the system applicable within Erasmus+ programs. The advantages of the system, including its scalability and adaptability, are discussed, along with potential limitations related to technical implementation. The article outlines prospects for further development of the system using artificial intelligence technologies.

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Publication Details

Published
2025-06-15
DOI
https://doi.org/10.21667/978-5-7722-0427-6-265-268
Primary Topic
Collaboration in agile enterprises
Type
article
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article

MULTI-AGENT SYSTEM FOR ASSESSING GROUP PROJECTS IN INTERNATIONAL EDUCATIONAL PROGRAMS (CASE STUDY: ERASMUS+)

Andrei S Burmistrov, V.V. Beloff
Collaboration in agile enterprises
article

MULTI-AGENT SYSTEM FOR ASSESSING GROUP PROJECTS IN INTERNATIONAL EDUCATIONAL PROGRAMS (CASE STUDY: ERASMUS+)

Andrei S Burmistrov, V.V. Beloff
article en

Abstract

The paper proposes a multi-agent system for assessing group projects, aimed at enhancing objectivity and transparency in the educational process. The system takes into account the individual contribution of each participant through automated data collection and analysis, including activity, work quality, and leadership skills. Special attention is paid to integration with international standards, such as ECTS, making the system applicable within Erasmus+ programs. The advantages of the system, including its scalability and adaptability, are discussed, along with potential limitations related to technical implementation. The article outlines prospects for further development of the system using artificial intelligence technologies.

Openalex Percentile: Top 68%
Collaboration in agile enterprises
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