CCL

Összesen 2 találat.
#/oldal:
Részletezés:
Rendezés:

1.

001-es BibID:BIBFORM125817
035-os BibID:(Scopus)85213300676 (WoS)001386807000001
Első szerző:Csernoch Mária (informatika tanár)
Cím:Modification of Erroneous and Correct Digital Texts / Mária Csernoch, Carolin Hannusch, Piroska Biró
Dátum:2024
ISSN:1099-4300
Megjegyzések:The end-user paradox and the illusion of digital prosperity reveal the contradictory situation in which both non-professional and professional computer scientists and engineers seem satisfied with digital development but unaware of the magnitude of waste generated by end-users and their digital artifacts. To measure this waste and to reveal end-users` problem-solving strategies, our research group set up an objective measuring system that can calculate the entropy of digital texts (EDT). To calculate EDT, a testing process of 53 participants was launched where erroneous and correct natural language digital texts were modified according to the requirements of the tasks. It was found that erroneous documents require more time and information to be modified, which implies that waste is generated by handling these documents. It was also found that when the problemsolving processes are broken down into atomic steps, EDT can reveal uncertainty and idleness, which further increases waste. The goals of the present paper are to call attention to (1) the hidden waste generated by billions of end-users and its consequences, (2) educational approaches and general ignorance which have led to these low-level results, and (3) the need to set up a standard evaluation system for further analyses.
Tárgyszavak:Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
end-users
digital texts
entropy
waste
effectiveness
problem-solving strategies
Megjelenés:Entropy. - 26 : 12 (2024), p. 1-21. -
További szerzők:Hannusch, Carolin (1984-) (matematikus) Biró Piroska (1983-) (informatikus, matematikus)
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

2.

001-es BibID:BIBFORM118903
035-os BibID:(WoS)001175997300001 (Scopus)85186081541
Első szerző:Csernoch Mária (informatika tanár)
Cím:Human-centered digital sustainability : handling enumerated lists in digital texts / Csernoch, Mária; Nagy, Tímea; Nagy, Keve; Csernoch, Júlia; Hannusch, Carolin
Dátum:2024
ISSN:2169-3536
Megjegyzések:In advance to the present study, the authors introduced a method which makes it possible to calculate the entropy of natural language digital texts, focusing on word-processed texts, presentations, and webpages. This entropy reveals that the more underdeveloped documents are, the more demanding their content-related modification becomes. It was also found that the time and data required to complete a modification task in an erroneous document is several times more than in its correct counterpart. This finding leads to the end-user paradox: the less trained end-users are, the more errors they make, and the modification of their documents requires more resources. To resolve these discrepancies, the present study defines the sustainability rate of natural language digital texts which calculates the losses - the waste of human resources, time, workspace, computers, energy, frustration, working in bees, losing data - generated by negligent text management. Furthermore, we present examples of how manual and enumerated lists behave to modifications in a 213-page long document and conclude from our investigations that while the waste of human and machine resources occurs repeatedly in erroneous documents, the sustainability rate remains low. To prove the necessity of correction, we cleared the sample document, which took approximately 67 hours of two experts of our research group (2x67 hours). With this method, we found that the correction of errors can be extremely demanding, but uses resources only once, and further modifications in the now correct document need only the content-required amount of time, activities, entropy, and resources, in accordance with the expectations of the person intended to update the document. To correct documents, we present the Error Recognition Model, which is proved effective and efficient in digital education. All our findings indicate that both education and industry should adapt the presented approach (1) to develop students' and end-users' computational thinking skills, (2) to manage and take advantage of errors, (3) to recognize connections between the structure of the text and the complex word processing tools, (4) to pay attention to digital sustainability - beyond hardware and software development and recycling - with a focus on the human factor. Recently, the Error Recognition Model is a reactive problem-solving approach, whose effectiveness is justified. However, the near future is to run parallel the reactive and proactive uses of this approach, while if we look far into the future, the proactive use to digital born natural language texts should dominate.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:IEEE Access. - 12 (2024), p. 30544-30561. -
További szerzők:Nagy Tímea Katalin (1995-) (informatika-matematika tanár) Nagy Keve (1974-) (mérnökinformatikus) Csernoch Júlia (1989-) (jogász) Hannusch, Carolin (1984-) (matematikus)
Pályázati támogatás:NKFI - KDP-2021
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Rekordok letöltése1