The Design and Evaluation of the Cloud-based Learning Components with the Use of the Systems of Computer Mathematics
Mariya Shyshkina, Uliana Kohut, Maiia Popel

TL;DR
This paper explores designing and evaluating cloud-based learning tools using computer mathematics systems, exemplified by Maxima, to enhance engineering and mathematics education through improved access and pedagogical outcomes.
Contribution
It introduces a novel approach to integrating computer mathematics systems into cloud-based educational components, supported by pedagogical evaluation and experimental results.
Findings
Enhanced learning outcomes demonstrated in pedagogical experiments
Effective access to mathematical software via cloud infrastructure
Positive evaluation based on psychological, pedagogical, and technological criteria
Abstract
In the article the problems of the systems of computer mathematics use as a tool for the students learning and research activities support are investigated. The promising ways of providing access to the mathematical software in the university learning and research environment are considered. The special aspects of pedagogical applications of these systems to support operations research study in the process of bachelors of informatics training are defined. The design and evaluation of the cloud-based learning components with the use of the systems of computer mathematics (on the example of Maxima system) as enchasing the investigative approach to learning of engineering and mathematics disciplines and increasing the pedagogical outcomes is justified. The set of psychological and pedagogical and also technological criteria of evaluation is substantiated. The results of pedagogical…
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