Monitoring and analysis of students' performance during software development

- Sharyhin, Oleksandr (orcid.org/0009-0006-9405-6997), Fedorets, Vasyl (orcid.org/0000-0001-9936-3458) and Klochko, Oksana (orcid.org/0000-0002-6505-9455) (2024) Monitoring and analysis of students' performance during software development Information Technologies and Learning Tools, 3 (101). pp. 127-149. ISSN 2076-8184

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Abstract

This study presents a comprehensive approach to monitoring and analyzing students’ performance in the context of software development projects. The primary focus is on the development of novel performance metrics that effectively capture the level of control required from the Team Leader and the quality of work assessed by the QA Engineer. The introduced metrics, namely Relative Control Degree and Relative Quality Assurance Degree, offer a robust framework for evaluating and understanding students’ performance across project, company, and industry levels. This study presents an innovative application that calculates the defined performance metrics, allowing for real-time monitoring of students’ performance as a Developer. This practical tool offers means to track and evaluate student progress throughout the project lifecycle, enabling timely feedback and intervention as needed. The authors provide recommendations for interpreting the results and utilizing the proposed performance metrics. The utilization of the developed performance metrics holds significant implications for project management and student development. By implementing the recommended practices, educational institutions and industry professionals can enhance the effectiveness of software development projects, improve student learning outcomes, and promote a culture of continuous improvement and innovation. The following methods, models, and approaches were used to solve the task of improving monitoring and analyzing the progress of students in the process of participating in software development projects: System and Problem Approaches, Cluster Analytical and Monitoring Models of Software Development, Expert Survey, Consistency Index, Consistency Ratio, the Fundamental Scale of Absolute Numbers by T. L. Saaty, and others. The proposed performance metrics, supported by recommendations and a dedicated application, empower project stakeholders to optimize control, quality assurance, and student development.

Item Type:	Article
Keywords:	project-based learning; indicators of students' performance; software development project; numerical and mathematical modeling; monitoring model of software development; cluster model.
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.4 Software Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.02 General questions of didactics and method Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Generic resouse
Depositing User:	Алла 1 Алла Почтарьова
Date Deposited:	12 Nov 2024 10:10
Last Modified:	12 Nov 2024 10:10
URI:	https://lib.iitta.gov.ua/id/eprint/742994

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