Introducing Computational Thinking through Hands-on Projects Using R with Applications to Calculus, Probability and Data Analysis

Autor/inn/en	Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand
Titel	Introducing Computational Thinking through Hands-on Projects Using R with Applications to Calculus, Probability and Data Analysis
Quelle	In: International Journal of Mathematical Education in Science and Technology, 48 (2017) 3, S.393-427 (35 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kostadinov, Boyan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0020-739X
DOI	10.1080/0020739X.2016.1254296
Schlagwörter	Calculus; Probability; Data Analysis; Computation; Thinking Skills; Monte Carlo Methods; Simulation; Problem Solving; Experiential Learning; Mathematics Education; Computer Games; Computer Simulation; Mathematical Concepts; Technology Uses in Education; Fractions; Mathematical Applications; Statistics; Regression (Statistics); Predictor Variables; Experiments; Programming; Scientific Methodology; Multiple Regression Analysis; Higher Education; New York + Suchen Sie Ihr Suchwort? Analysis; Differenzialrechnung; Infinitesimalrechnung; Integralrechnung; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Auswertung; Denkfähigkeit; Monte-Carlo-Methode; Simulation program; Simulationsprogramm; Problemlösen; Experiental learning; Erfahrungsorientiertes Lernen; Mathematische Bildung; Computer game; Computerspiel; Computerspiele; Computergrafik; Computersimulation; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Bruchrechnung; Angewandte Mathematik; Innermathematische Anwendung; Statistik; Regression; Regressionsanalyse; Prädiktor; Erprobung; Programmierung; Hochschulbildung; Hochschulsystem; Hochschulwesen
Abstract	The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data analysis. We present nine computer experiments and suggest a few more, with applications to calculus, probability and data analysis, which engage computational thinking through simulations, visualizations and data analysis. We are using the free (open-source) statistical programming language R. Our goal is to give a taste of what R offers rather than to present a comprehensive tutorial on the R language. In our experience, these kinds of interactive computer activities can be easily integrated into a smart classroom. Furthermore, these activities do tend to keep students motivated and actively engaged in the process of learning, problem solving and developing a better intuition for understanding complex mathematical concepts. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01