ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT

Nowadays algorithmic thinking, as a key demand and the main requirement of technology-based society, extensively expands outwards the computer science area and rapidly becomes a meaningful instrumentality for effective realization of any information activities with or without ICT. This instrumental...

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Main Authors: Marian Byrka, Andrii Sushchenko, Volodymyr Luchko, Galina Perun, Victoria Luchko
Format: Article
Language:English
Published: Institute for Digitalisation of Education of the NAES of Ukraine 2024-12-01
Series:Інформаційні технології і засоби навчання
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Online Access:https://journal.iitta.gov.ua/index.php/itlt/article/view/5750
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author Marian Byrka
Andrii Sushchenko
Volodymyr Luchko
Galina Perun
Victoria Luchko
author_facet Marian Byrka
Andrii Sushchenko
Volodymyr Luchko
Galina Perun
Victoria Luchko
author_sort Marian Byrka
collection DOAJ
description Nowadays algorithmic thinking, as a key demand and the main requirement of technology-based society, extensively expands outwards the computer science area and rapidly becomes a meaningful instrumentality for effective realization of any information activities with or without ICT. This instrumentality creates new opportunities and possibilities for improvement of the effectiveness of any educational professional activities in the higher education context by creating problem-solving algorithms completely within the ICT area, as well as non-ICT-based algorithms that provide clear technological step-by-step instructions for solving a diversity of educational problems. Although attention to algorithmic thinking as scientific phenomenon is increasing, the studies aimed at determining the algorithmic thinking content in observable and measurable statements have not been conducted yet and its great potential is still undiscovered. The purpose of this study is to identify, clarify, and categorize algorithmic thinking content in observable and measurable knowledge, skills, and abilities statements (KSAs). The study is a mixed-methods type of development research carried out in 4 stages: 1) extraction of the KSA statements from the extant scientific literature related to algorithmic thinking; 2) design of The Algorithmic Thinking Content Survey (ATCS) based on the five steps Universal Sequence of an Algorithm Development (USAD); 3) administration of the ATCS on a wide variety of educational professionals (N = 117); 4) data analysis aimed to obtain the content of algorithmic thinking in observable and measurable KSA statements. The design of the ATCS is also based on algorithmic thinking as a complex phenomenon that integrates five types of thinking: abstract, logical, figurative, conceptual, and constructive. The administration of the ATCS involved 117 experts – educational professionals (11 professors who teach courses concerning algorithms and computer science, 23 practicing teachers of informatics, 35 students in the 3rd year of Informatics teacher training program, and 48 master students of informatics). Expert validation of algorithmic thinking content in knowledge, skills, and abilities statements was obtained through the Likert scale. One hundred KSA statements of algorithmic thinking content were obtained (32 statements of knowledge, 38 statements of skills, and 30 statements of abilities).
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series Інформаційні технології і засоби навчання
spelling doaj-art-7363099811c04b599d8c9626b77c16b12025-02-07T18:58:19ZengInstitute for Digitalisation of Education of the NAES of UkraineІнформаційні технології і засоби навчання2076-81842024-12-01104610.33407/itlt.v104i6.5750ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENTMarian Byrka0https://orcid.org/0000-0002-2891-0044Andrii Sushchenko1https://orcid.org/0000-0003-1659-4280Volodymyr Luchko2https://orcid.org/0000-0001-8390-1557Galina Perun3https://orcid.org/0000-0002-2840-7115Victoria Luchko4https://orcid.org/0000-0002-2388-7711Yuriy Fedkovych Chernivtsi National University, Chernivtsi, UkrainePoltava V.G. Korolenko National Pedagogical University, Poltava, UkraineYuriy Fedkovych Chernivtsi National University, Chernivtsi, UkraineYuriy Fedkovych Chernivtsi National University, Chernivtsi, UkraineYuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine Nowadays algorithmic thinking, as a key demand and the main requirement of technology-based society, extensively expands outwards the computer science area and rapidly becomes a meaningful instrumentality for effective realization of any information activities with or without ICT. This instrumentality creates new opportunities and possibilities for improvement of the effectiveness of any educational professional activities in the higher education context by creating problem-solving algorithms completely within the ICT area, as well as non-ICT-based algorithms that provide clear technological step-by-step instructions for solving a diversity of educational problems. Although attention to algorithmic thinking as scientific phenomenon is increasing, the studies aimed at determining the algorithmic thinking content in observable and measurable statements have not been conducted yet and its great potential is still undiscovered. The purpose of this study is to identify, clarify, and categorize algorithmic thinking content in observable and measurable knowledge, skills, and abilities statements (KSAs). The study is a mixed-methods type of development research carried out in 4 stages: 1) extraction of the KSA statements from the extant scientific literature related to algorithmic thinking; 2) design of The Algorithmic Thinking Content Survey (ATCS) based on the five steps Universal Sequence of an Algorithm Development (USAD); 3) administration of the ATCS on a wide variety of educational professionals (N = 117); 4) data analysis aimed to obtain the content of algorithmic thinking in observable and measurable KSA statements. The design of the ATCS is also based on algorithmic thinking as a complex phenomenon that integrates five types of thinking: abstract, logical, figurative, conceptual, and constructive. The administration of the ATCS involved 117 experts – educational professionals (11 professors who teach courses concerning algorithms and computer science, 23 practicing teachers of informatics, 35 students in the 3rd year of Informatics teacher training program, and 48 master students of informatics). Expert validation of algorithmic thinking content in knowledge, skills, and abilities statements was obtained through the Likert scale. One hundred KSA statements of algorithmic thinking content were obtained (32 statements of knowledge, 38 statements of skills, and 30 statements of abilities). https://journal.iitta.gov.ua/index.php/itlt/article/view/5750ICThigher educationalgorithmic thinkingmeasurable and observable algorithmic thinking contentKSA statements
spellingShingle Marian Byrka
Andrii Sushchenko
Volodymyr Luchko
Galina Perun
Victoria Luchko
ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT
Інформаційні технології і засоби навчання
ICT
higher education
algorithmic thinking
measurable and observable algorithmic thinking content
KSA statements
title ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT
title_full ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT
title_fullStr ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT
title_full_unstemmed ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT
title_short ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT
title_sort algorithmic thinking in higher education determining observable and measurable content
topic ICT
higher education
algorithmic thinking
measurable and observable algorithmic thinking content
KSA statements
url https://journal.iitta.gov.ua/index.php/itlt/article/view/5750
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AT andriisushchenko algorithmicthinkinginhighereducationdeterminingobservableandmeasurablecontent
AT volodymyrluchko algorithmicthinkinginhighereducationdeterminingobservableandmeasurablecontent
AT galinaperun algorithmicthinkinginhighereducationdeterminingobservableandmeasurablecontent
AT victorialuchko algorithmicthinkinginhighereducationdeterminingobservableandmeasurablecontent