According to a recent report, cheating among college and university students is on the rise. However, Groveton College has successfully reduced student cheating by adopting an honor code, which calls for students to agree not to cheat in their academic endeavors and to notify a faculty member if they suspect that others have cheated. Groveton's honor code replaced a system in which teachers closely monitored students; under that system, teachers reported an average of thirty cases of cheating per year. In the first year the honor code was in place, students reported twenty-one cases of cheating; five years later, this figure had dropped to fourteen. Moreover, in a recent survey, a majority of Groveton students said that they would be less likely to cheat with an honor code in place than without. Thus, all colleges and universities should adopt honor codes similar to Groveton's in order to decrease cheating among students.
In this editorial, it describes how cheating among college and university student is elevating and it is becoming a major concern. In Counter to the Act, Groveton college has came up with a solution to reduce the cheating cases in their college by adopting an honor code instead of teachers monitoring the students. However, before adopting the honor code as the solution in all colleges and universities following three questions must be answered.
Firstly, Groveton’s college reports suggest that there was a decrease in the number of students cheating. There might be many different reasons, For example, if the student who has been caught by his fellow student won't report the faculty about the cheating. In this way, they might have made a mutual understanding of not reporting each other to the faculty member. This not only endangers the strategy to overcome the cheating in college but hinders the faculty’s responsibilities.
In Addition, College claims that when teachers monitored the students closely there were thirty cases reported per year. There might be a case where students would have cheated in their academics more wisely. So that they were not caught by the faculty and there is no data how much students were monitored by a particular faculty. In a college or University there might be thousands of students so it is not practical to keep a watch on a particular student whole time. In these case honor code system is ultimately wholesome dependent on the students. Faculty comes into the picture after students reports to them.
Lastly, survey conducted in Groveton students said that they are less likely to cheat because of the new honor code system. In this case they have not mentioned on how many students they have surveyed. There have been a case where students must be hiding the possibilities of cheating that has been increased because of the mutual understanding between the colleagues of not reporting each other cheating cases. Students might be benefitted due to this decision as there is no faculty member monitoring them. So they have the freedom of cheating in the exams without getting reported.
In Summary, all the above questions must be answered before adopting this solution in all colleges and universities. The Argument falls short in many aspects they might have provided some supporting data so that the other colleges and universities can think about it and then apply in their respective colleges and universities. Empowering the students with the responsibilities of monitoring each other and then reporting instead the faculties must have been allocated a limited number of students will make it better with no much burden on the faculty. Hence, in the absence of all such data the argument remains flawed.
| Post date | Users | Rates | Link to Content |
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| 2023-07-22 | swetha_14r | 68 | view |
| 2023-02-26 | 宋致遠 | 60 | view |
| 2023-01-21 | jimHsu | 54 | view |
| 2022-12-26 | rohan.apte | 72 | view |
| 2022-09-05 | poiuy23567 | 66 | view |
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Comments
e-rater score report
Attribute Value Ideal
Final score: 3.0 out of 6
Category: Satisfactory Excellent
No. of Grammatical Errors: 0 2
No. of Spelling Errors: 0 2
No. of Sentences: 22 15
No. of Words: 454 350
No. of Characters: 2275 1500
No. of Different Words: 197 200
Fourth Root of Number of Words: 4.616 4.7
Average Word Length: 5.011 4.6
Word Length SD: 2.677 2.4
No. of Words greater than 5 chars: 166 100
No. of Words greater than 6 chars: 141 80
No. of Words greater than 7 chars: 97 40
No. of Words greater than 8 chars: 47 20
Use of Passive Voice (%): 0 0
Avg. Sentence Length: 20.636 21.0
Sentence Length SD: 7.462 7.5
Use of Discourse Markers (%): 0.591 0.12
Sentence-Text Coherence: 0.324 0.35
Sentence-Para Coherence: 0.324 0.50
Sentence-Sentence Coherence: 0.085 0.07
Number of Paragraphs: 1 5
Grammar and spelling errors:
Line 1, column 176, Rule ID: HAVE_PART_AGREEMENT[1]
Message: Use past participle here: 'come'.
Suggestion: come
...ounter to the Act, Groveton college has came up with a solution to reduce the cheati...
^^^^
Line 2, column 121, Rule ID: NUMEROUS_DIFFERENT[1]
Message: Use simply 'many'.
Suggestion: many
...er of students cheating. There might be many different reasons, For example, if the student wh...
^^^^^^^^^^^^^^
Line 3, column 278, Rule ID: MUCH_COUNTABLE[1]
Message: Use 'many' with countable nouns.
Suggestion: many
...by the faculty and there is no data how much students were monitored by a particular...
^^^^
Line 5, column 524, Rule ID: NOW[2]
Message: Did you mean 'now' (=at this moment) instead of 'no' (negation)?
Suggestion: now
...er of students will make it better with no much burden on the faculty. Hence, in t...
^^
Transition Words or Phrases used:
but, first, firstly, hence, however, if, lastly, so, then, for example, in addition, in summary
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 22.0 19.6327345309 112% => OK
Auxiliary verbs: 13.0 12.9520958084 100% => OK
Conjunction : 11.0 11.1786427146 98% => OK
Relative clauses : 10.0 13.6137724551 73% => More relative clauses wanted.
Pronoun: 31.0 28.8173652695 108% => OK
Preposition: 61.0 55.5748502994 110% => OK
Nominalization: 7.0 16.3942115768 43% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 2319.0 2260.96107784 103% => OK
No of words: 453.0 441.139720559 103% => OK
Chars per words: 5.11920529801 5.12650576532 100% => OK
Fourth root words length: 4.61343653406 4.56307096286 101% => OK
Word Length SD: 2.76118087054 2.78398813304 99% => OK
Unique words: 198.0 204.123752495 97% => OK
Unique words percentage: 0.437086092715 0.468620217663 93% => More unique words wanted or less content wanted.
syllable_count: 738.9 705.55239521 105% => OK
avg_syllables_per_word: 1.6 1.59920159681 100% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 4.96107784431 60% => OK
Article: 1.0 8.76447105788 11% => OK
Subordination: 3.0 2.70958083832 111% => OK
Conjunction: 0.0 1.67365269461 0% => OK
Preposition: 10.0 4.22255489022 237% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 22.0 19.7664670659 111% => OK
Sentence length: 20.0 22.8473053892 88% => OK
Sentence length SD: 45.7202235665 57.8364921388 79% => OK
Chars per sentence: 105.409090909 119.503703932 88% => OK
Words per sentence: 20.5909090909 23.324526521 88% => OK
Discourse Markers: 4.31818181818 5.70786347227 76% => OK
Paragraphs: 5.0 5.15768463074 97% => OK
Language errors: 4.0 5.25449101796 76% => OK
Sentences with positive sentiment : 8.0 8.20758483034 97% => OK
Sentences with negative sentiment : 9.0 6.88822355289 131% => OK
Sentences with neutral sentiment: 5.0 4.67664670659 107% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.401437130094 0.218282227539 184% => OK
Sentence topic coherence: 0.134284159467 0.0743258471296 181% => OK
Sentence topic coherence SD: 0.0794703139952 0.0701772020484 113% => OK
Paragraph topic coherence: 0.262127512165 0.128457276422 204% => OK
Paragraph topic coherence SD: 0.0842348177959 0.0628817314937 134% => OK
Essay readability:
automated_readability_index: 13.0 14.3799401198 90% => Automated_readability_index is low.
flesch_reading_ease: 51.18 48.3550499002 106% => OK
smog_index: 8.8 7.1628742515 123% => OK
flesch_kincaid_grade: 11.1 12.197005988 91% => OK
coleman_liau_index: 12.42 12.5979740519 99% => OK
dale_chall_readability_score: 7.97 8.32208582834 96% => OK
difficult_words: 96.0 98.500998004 97% => OK
linsear_write_formula: 11.0 12.3882235529 89% => OK
gunning_fog: 10.0 11.1389221557 90% => OK
text_standard: 13.0 11.9071856287 109% => OK
What are above readability scores?
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Rates: 66.67 out of 100
Scores by essay e-grader: 4.0 Out of 6
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.