Teaching word processing – the practice

Csernoch, Mária

doi:10.5485/tmcs.2010.0252

Cited by 9 publications

(11 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The original version she created and submitted holds various errors concerning all the categories. However, the most serious are the layout errors (Csernoch, 2009(Csernoch, , 2010(Csernoch, , 2017 implemented by multiple Space characters, (lines 4-7, 12-13, 18-20, 25,30, 33, 34), multiple Enter characters (lines 1, 3, 8-9, 11, 14-15, 17, 21-29, 31-32, 34), end-of-line Enter characters (lines 4, 5, 6, 12, 18, 19), and manual hyphenation (line 19). Although we provide the entire original document in our tests (Figure 1), only the first five-line-long section (Figure 1, lines 4-7) -appearing as the second paragraph -is to be manipulated in order to avoid cumulative errors.…”

Section: The Samplementioning

confidence: 99%

“…Recent studies clearly prove that erroneous digital texts do not primarily originate from the shortcomings of software solutionse.g., machine translation, spell checker, character recognition, and lemmatization -but arrive from the general population, the endusers (Ben-Ari and Yeshno, 2006;Csernoch, 2010;Ben-Ari, 2015;EuSpRIG Horror Stories, 2022), and is due to their lack of computational thinking skills, which should be as fundamental nowadays as the 3Rs (Reading, wRiting, aRithmetic) (Wing, 2006). End-users do not fulfill their dictionary-assigned role because they are not able to efficiently and effectively use the computer programs designed to serve them -if they can use them at all.…”

Section: Introductionmentioning

confidence: 99%

“…Even fully developed pieces of software lose their power by misuse (Panko, 1998(Panko, , 2013Csernoch and Dani, 2022;EuSpRIG Horror Stories, 2022;Sebestyén et al, 2022). On the one hand, scientific papers presented on this subject reach neither the target population (Ben-Ari and Yeshno, 2006;Wing, 2006;Csernoch, 2009Csernoch, , 2010Ben-Ari, 2015;EuSpRIG Horror Stories, 2022) nor the appropriate segment of education (Malmi et al, 2019(Malmi et al, , 2022. On the other, most of the researchers who are aware of this problem and publish studies on its severity, face difficulties, as their results do not change the behavior of those who produce these documents (Malmi et al, 2019(Malmi et al, , 2022.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Pre-testing erroneous text-based documents: Logging end-user activities

Nagy

Csernoch²

2023

Front. Educ.

Self Cite

View full text Add to dashboard Cite

An extremely high number of erroneous text-based documents are in circulation, being multiplied, serving as samples both in the office world and in education. Creating, editing, and modifying these documents generates a serious financial loss when both human and machine resources are considered. Our research team developed an application and a testing method for building up an objective measurement system, in order to see the rate of loss in the handling of erroneous documents. In the pre-testing period, the error factor of a sample text was set up based on the logged activities of an expert researcher. It was found that first level modifications require about five times more human and machine resources in a short, one-paragraph text burdened with layout errors than in its properly formatted version. Further testing is required to find out how demanding longer texts and more serious modifications are, but it is already obvious that erroneous text-editing, and the lack of fundamental computational thinking skills involve unnecessary use of our resources.

show abstract

Section: The Samplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Pre-testing erroneous text-based documents: Logging end-user activities

Nagy

Csernoch²

2023

Front. Educ.

Self Cite

View full text Add to dashboard Cite

show abstract

“…That is, beyond the intention of the user there should be no need for further editing of the text. This second maxim will -beyond those mentioned above -rule out -manual paragraph numbering, -manual page numbering, -manual footnotes, -headers, footers on the text area [18], [19].…”

Section: Second Maxim: Exclude Unintended Editingmentioning

confidence: 99%

Teaching word processing - the theory behind

Csernoch¹

2009

TMCS

Self Cite

View full text Add to dashboard Cite

It is widely thought and believed that word processors-especially MS Wordare software, which everyone can use. However, if we take a closer look at the documents we find that the picture is not at all that clear. In most of these documents even the basic rules of word processing are broken. The question is how it is possible that most of the users are satisfied with their performance, and do not realize that they only use a less noisy typewriter, and not able to take advantage of the opportunities offered by these software. In the search of clearing this misunderstanding I found that there are no publicly available sources, which would clearly set the rules to determine when the documents are properly formatted. Here I set three maxims which, together, are able to control the tools applied in word processing in order to create properly formatted texts. In summary, they state that the layout of a properly formatted text should be invariant to modification, that is, any modification of the body of text should not initiate its re-formatting. To prove that these maxims work and to show that we desperately need them I give examples of works of professionals from the administration, of those who passed ecdl exams, of teachers of various subjects, and finally of teachers of Informatics.

show abstract

“…The popularity is obvious because almost everyone who has access to computers uses word processor applications [ 1 , 2 ]. However, the quality of output documents calls into question the effectiveness of the word-processing processes and the use of Graphical User Interfaces (GI) [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. It is said that “Fundamentally, we claim that every EUD [End User Development] system should attempt to keep the learning challenges in proportion to the skills end-users have.…”

Section: Introductionmentioning

confidence: 99%

The Interpretation of Graphical Information in Word Processing

Csernoch

Máth

Nagy

2022

Entropy

View full text Add to dashboard Cite

Word processing is one of the most popular digital activities. Despite its popularity, it is haunted by false assumptions, misconceptions, and ineffective and inefficient practices leading to erroneous digital text-based documents. The focus of the present paper is automated numbering and distinguishing between manual and automated numbering. In general, one bit of information on the GUI—the position of the cursor—is enough to tell whether a numbering is manual or automated. To decide how much information must be put on the channel—the teaching–learning process—in order to reach end-users, we designed and implemented a method that includes the analysis of teaching, learning, tutorial, and testing sources, the collection and analysis of Word documents shared on the internet or in closed groups, the testing of grade 7–10 students’ knowledge in automated numbering, and calculating the entropy of automated numbering. The combination of the test results and the semantics of the automated numbering was used to measure the entropy of automated numbering. It was found that to transfer one bit of information on the GUI, at least three bits of information must be transferred during the teaching–learning process. Furthermore, it was revealed that the information connected to numbering is not the pure use of tools, but the semantics of this feature put into a real-world context.

show abstract

Teaching word processing – the practice

Cited by 9 publications

References 1 publication

Pre-testing erroneous text-based documents: Logging end-user activities

Pre-testing erroneous text-based documents: Logging end-user activities

Teaching word processing - the theory behind

The Interpretation of Graphical Information in Word Processing

Contact Info

Product

Resources

About