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001-es BibID:	BIBFORM070575
035-os BibID:	(WoS)000428151900035 (Scopus)85047166855
Első szerző:	Csernoch Mária (informatika tanár)
Cím:	Data-structure validator : an application of the HY-DE model / Mária Csernoch, Erzsébet Dani
Dátum:	2017
Megjegyzések:	In knowledge-based societies new generations areflooded more and more intensely with narratives of inherited andnewly generated knowledge, which is simply accessible for thesegenerations, or to be acquired by them. Informatics andcomputer sciences are continuously developing new informationstoragedevices and a multitude of software more rapidly thanever. However, effective information search and processingrequire an information literacy which the new generationscharacteristically, and more and more demonstrably, do nothave. National and international empirical research proves thatthe algorithmic thinking of the younger generations, which isindispensable for the world of informatics, is underdevelopedwhen it comes to the effective and productive use of digital tools.Moreover, the phenomenon of hyper attention invades theeveryday life and the learning habits of the younger generation toa greater and greater degree. The essence of the HY-DE model isto aid the students' learning process with the help of the teacher'spurposeful control of the phases of attention (hyper, mixed anddeep attention).One aim of the present study is to introduce a new applicationof the HY-DE model, entitled Data-Structure Validator HY-DEmodel (DaSVa HY-DE). In the introductory phase, the DaSVamodel focuses on how the HY-DE attention-divisions manifestthemselves in webpage-search as well as in the informationretrieval that it yields, and what the roles of the hyper, mixed,and deep attention modes are in the development ofcomputational thinking and algorithmic skills. In the full hyperattention status the search for specified contents is carried out,focusing on webpages which consist of data organized in table ortable-like structures. The automated and semi-automatedconversion of the webpages however requires the decreasing ofhyper attention leading to deep or mixed attention. The finalresult of this conversion process is/are well-structured table(s)suitable for automated data retrieval in spreadsheets, databasemanagement, and programming. The application of the originalHY-DE model would lead us to its modification.In the advanced phase of the DaSVa HY-DE model thestudents can also experience how the webpages are designed andstructured, how they support information and data retrieval, howsuccessful the algorithmic based retrieval can be, and how theapproach would lead students to the application of the theory ofwell-structured webpage design. With this model, from the hyperattention data collection status, through a deep and/or mixed attention algorithm building and data analyzing process, studentswould reach a higher-level hyper attention, the developer status.
ISBN:	978-1-5386-1264-4
Tárgyszavak:	Műszaki tudományok Informatikai tudományok tanulmány, értekezés information literacy computational thinking hyper and deep attention data structure webpage conversion
Megjelenés:	8th IEEE International Conference on Cognitive Infocommunications: CogInfoCom 2017 : Proceedings : September 11-14, 2017 Debrecen, Hungary. - p. 197-202. -
További szerzők:	Bujdosóné Dani Erzsébet (1968-) (informatikus-könyvtáros)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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