Identifying the Factor of Mathematical Reasoning That Affects the Ability to Programming Algorithm

Autor/inn/en	Hartati, Sulis Janu; Vitianingsih, Anik Vega; Kurniati, Neny; Sulistyowati; Muhajir
Titel	Identifying the Factor of Mathematical Reasoning That Affects the Ability to Programming Algorithm
Quelle	In: International Education Studies, 13 (2020) 5, S.44-56 (13 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1913-9020
Schlagwörter	Mathematics Skills; Thinking Skills; Programming; Information Technology; Information Science Education; Computer Science Education; Calculus; Undergraduate Students; Private Colleges; Foreign Countries; Algebra; Tests; Mathematical Logic; Least Squares Statistics; Graphs; Indonesia + Suchen Sie Ihr Suchwort? Mathmatics achievement; Mathematics ability; Mathematische Kompetenz; Denkfähigkeit; Programmierung; Informationstechnologie; Informationstechnologische Bildung; Computer science lessons; Informatikunterricht; Analysis; Differenzialrechnung; Infinitesimalrechnung; Integralrechnung; Privathochschule; Ausland; Examination; Prüfung; Examen; Mathematical logics; Mathematische Logik; Grafische Darstellung; Indonesien
Abstract	This paper examines the limited proficiency to engage in programming algorithms among university students in information technology and information system in several universities across Surabaya, Indonesia. The purpose of this research is to find the most influential factor in learning programming algorithm using a quantitative approach. The research subjects were second-semester information technology students in several private universities in Surabaya, Indonesia. The research instruments were mathematical reasoning and basic algorithm programming test. Mathematical reasoning tests incorporated linear algebraic, basic calculus, and mathematical logic. The data analysis used was variant-based Structural Equation Modelling, also known as Partial Least Squares - Structural Equation Modelling based on Smart-PLS 3. With [alpha] = 5%, the research results conclude that mathematical reasoning positively influences algorithm programming ability with an R score of 0.999, and that the most influential variable among mathematical reasoning abilities was algebra with an R score of 0.732. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01