Smart learning technology for computer programming driven by research related to COVID-19

Markoska, Ramona Smart learning technology for computer programming driven by research related to COVID-19. In: 6th World Conference on Computer Engineering (COMENG-2020), 30 October – 01 November 2020, Istanbul, Turkey. (In Press)

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Abstract

Two main categories of entities, material and immaterial, influence the design of smart learning technologies for computer programming. Material entities are manifested through various ICT solutions. Immaterial entities consist of mental and physical effort, as well as the impact of the social environment. This paper studies the impact of COVID-19, as an immaterial social environment factor, on smart learning technologies. Certain changes were made in the learning procedures for computer programming, according to COVID-19 related recommendations. Students were surveyed for their views on these organizational and content adjustments. The obtained results were interpreted and used for additional conceptualization and adaptation of the smart learning technology for the C++ programming language. The smart learning technology described in this paper, based on open source cloud solutions, was developed to satisfy the needs of a fully virtual learning environment and was gradually improved according to the students' views expressed in the research. The working concept of the technology enables adaptability of the course activities, according to the student's choice. Such program activities include qualitative opportunities for theoretical analysis and conclusions, source code writing, compilation and execution, monitoring changes after a source code edit, download of source code and offline work. This approach enables interactive lecture tracking and direct participation in the session, but also the ability to practice computer programming at any time, which makes this technology applicable and useful.

Item Type: Conference or Workshop Item (Paper)
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Information and Communication Technologies
Depositing User: Prof. d-r. Aleksandar Markoski
Date Deposited: 13 Jan 2021 10:04
Last Modified: 13 Jan 2021 10:04
URI: http://eprints.uklo.edu.mk/id/eprint/6089

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