Cultivating algorithmic thinking

A tétel rövid nézete
dc.contributor.authorKátai, Zoltán
dc.contributor.authorKovács, Lehel István
dc.contributor.authorKása, Zoltán
dc.contributor.authorMárton, Gyöngyvér
dc.contributor.authorFogarasi, Kinga
dc.contributor.authorFogarasi, Ferenc
dc.date.accessioned2024-09-04T09:46:31Z
dc.date.available2024-09-04T09:46:31Z
dc.date.issued2011-06-01
dc.description.abstractAlgorithmic thinking is a valuable skill that all people should master. In this paper we propose a one-semester, algorithm-oriented computer science course for human science students. According to our experience such an initiative could succeed only if the next recipe is followed: interesting and practical content + exciting didactical methods + minimal programming. More explicitly, we suggest: (1) A special, simple, minimal, pseudo-code like imperative programming language that integrates a graphic library. (2) Interesting, practical and problem-oriented content with philosophical implications. (3) Exciting, human science related didactical methods including art-based, inter-cultural elements.en
dc.formatapplication/pdf
dc.identifier.citationTeaching Mathematics and Computer Science, Vol. 9 No. 1 (2011) , 107-116
dc.identifier.doihttps://doi.org/10.5485/TMCS.2011.0277
dc.identifier.eissn2676-8364
dc.identifier.issn1589-7389
dc.identifier.issue1
dc.identifier.jatitleTeach. Math. Comp. Sci.
dc.identifier.jtitleTeaching Mathematics and Computer Science
dc.identifier.urihttps://hdl.handle.net/2437/379699
dc.identifier.volume9
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/tmcs/article/view/14889
dc.rights.accessOpen Access
dc.rights.ownerZoltán Kátai, Lehel István Kovács, Zoltán Kása, Gyöngyvér Márton, Kinga Fogarasi and Ferenc Fogarasi
dc.subjectAlgorithmic thinkingen
dc.subjectteaching learning programmingen
dc.subjectmultisensory educationen
dc.subjectintercultural educationen
dc.subjectcurriculumen
dc.titleCultivating algorithmic thinkingen
dc.typefolyóiratcikkhu
dc.typearticleen
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Teaching Mathematics and Computer Science (DE-journals)