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001-es BibID:BIBFORM103820
Első szerző:Godó Zoltán (biológus, informatikus)
Cím:Need for motivating educational technologies at teaching Computer Science / Zoltan Attila Godó, Zsuzsa Hódi, Balázs Borsos, György Stóka, Gábor Kiss
Dátum:2020
ISSN:2357-1330
Megjegyzések:On a global level, there is an intensely growing interest for Computer Science graduates on the job market. Apparently, the EU expectation of a high ratio of degree-holders among residents attempts to provide solution to this problem as well. Capitation schemes make financing of schools dependent upon the number of students. So codependency emerges between the students and the school. Students with below-average abilities massively appear on higher and higher levels of education. Expectations are unrealistically high in vocational schools, for instance, while the students artificially kept at school pull down the education standards. The result is an unmanageably high number of students, the crisis of the efficacy of education, catastrophic dropout and failure rates. Computer science education is in an especially hard situation, since the labor shortage is the highest in this field, but the profession needs specific skills and high level of knowledge. The consequences of erroneous education politics can be softened by innovative educational technologies. As an example, we will show two effective experience-based methods that motivated students on an adequate level, and that greatly improved the efficiency of studying. It greatly improved the active participation of students, and managed to improve the willingness to study further.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Educational technologies
Capitation schemes
Mass education
Innovative educational technologies
Dropout
Motivating
Megjelenés:EUROPEAN PROCEEDINGS OF SOCIAL AND BEHAVIOURAL SCIENCES 2357-1330. - 4 (2020), p. 410-422. -
További szerzők:Hódi Zsuzsa Borsos Balázs Stóka György Kiss Gábor (1986-) (informatikus)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00002
EFOP
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:BIBFORM103818
035-os BibID:(Scopus)85107885526 (Cikkazonosító)169351
Első szerző:Varga Mátyás
Cím:Neuron Network Model in the Study of Smart City Ideas / Mátyás Varga, Bence Soltész, Norbert Béla Fiedler, Anikó Apró, Balázs Borsos, Gábor Kiss, Zoltán A. Godó
Dátum:2021
ISSN:1613-0073
Megjegyzések:With neural networks, computer science has made tremendous progress in the field of artificial intelligence. The breakthrough is provided by the closest possible analogy with the living nervous system, as it provides the most efficient processing of real-world data. In our work, we are looking for an even closer analogy with the living nervous system by building a neural network. We build the network hardware and emulate the nodes with multiprocessors. We implement actual concurrency, real-time task runs. We enable communication with both analog and digital features, thus mimicking the operation of natural systems. A unique interpreter at the nodes of the neural network provides controllable stream signal processing. Thus, the system is able to receive and process any data stream. By implementing cascade programming, the interpreter can also be developed. That is, the entire control language can be replaced according to the desired task. The system is not only suitable for Smart City or traffic modeling, but also for direct neuroinformatics or didactic research.
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
Smart City
neuron-network
massively parallel system
Megjelenés:Proceedings of the 1st Conference on Information Technology and Data Science / ed. István Fazekas, András Hajdu, Tibor Tómács. - p. 270-278. -
További szerzők:Soltész Bence Fiedler Norbert Béla Apró Anikó (1993-) (programtervező informatikus) Borsos Balázs Kiss Gábor (1986-) (informatikus) Godó Zoltán (1972-) (biológus, informatikus)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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