In many companies, there is a mentoring system: senior workers in a company will be required to mentor younger workers, but in recent years, some companies have also required younger workers to mentor senior workers. Do you agree or disagree with the following statement?
In some high-tech companies, especially after the companies have introduced new technology and equipment, it would be beneficial for the companies to require younger workers to mentor senior workers.
Some people think that senior workers should mentor younger workers in order to benefit their companies. However, I think that it would be beneficial for some high-tech companies to require younger workers to mentor senior workers, especially after the companies have introduced new technology and equipment. Therefore, I support my statement for following reasons.
First of all, companies care about efficiency, and requiring younger workers to mentor older workers about new equipment can help companies save more time. For example, when I was a young researcher in National Cheng Kung University, the university introduced a lot of instruments, such as ovens and gloves boxes, for research chemistry and I needed to teach senior workers how to use these machines. To elaborate, I only used 2 hours to teach all machines to older employees because I was really familiar with these new technology when I was a college student. Accordingly, senior workers learned very fast and operated them very well.
Secondly, companies place emphasis on future, and asking younger labors to teach senior workers how to use new technology can allow companies to obtain a brighter future. For instance, when my friend, David, was a young engineer at TSMC, he always used some new approaches, such as hot pressing, to improve the quality of wafers. Furthermore, he also shared his creative ideas for older workers to learn new technique. Consequently, the amount of high quality of wafers were fascinating and high demanding in global market. Nonetheless, if David never taught the new technique to older workers, TSMC might not be capable to produce good commodity for consumers. Obviously, the company might not earn more money.
Last but not least, companies focus on employees’ safety, and requiring younger workers to educate older workers can provide employees with more safety. For example, when I was a young research assistant at Academia Sinica, I was responsible to train senior workers to use new instruments. To be more specific, I needed to teach senior workers carefully because the instructions of these new instruments, such as dangerous cutting machine, were English and they cannot understand. Moreover, I also needed to monitor them to follow the regulation since some seniors usually break the operating rules that might be dangerous. As a result, all empolyees at Sinica would not hurt when they operated the new instruments.
In conclusion, I strongly support the statement that younger workers should mentor senior workers in the companies for benefits. After all, companies care about efficiency, future, and employees’ safety.
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- It is important to have rules about the kind of clothing people should wear to go to work and school Do you agree or disagree with this statement 76
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Transition Words or Phrases used:
accordingly, also, but, consequently, first, furthermore, however, if, moreover, nonetheless, really, second, secondly, so, therefore, well, after all, as for, for example, for instance, i think, in conclusion, such as, as a result, first of all
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 12.0 15.1003584229 79% => OK
Auxiliary verbs: 11.0 9.8082437276 112% => OK
Conjunction : 11.0 13.8261648746 80% => OK
Relative clauses : 9.0 11.0286738351 82% => OK
Pronoun: 30.0 43.0788530466 70% => OK
Preposition: 47.0 52.1666666667 90% => OK
Nominalization: 6.0 8.0752688172 74% => OK
Performance on vocabulary words:
No of characters: 2240.0 1977.66487455 113% => OK
No of words: 417.0 407.700716846 102% => OK
Chars per words: 5.37170263789 4.8611393121 111% => OK
Fourth root words length: 4.5189133491 4.48103885553 101% => OK
Word Length SD: 2.82842305832 2.67179642975 106% => OK
Unique words: 205.0 212.727598566 96% => OK
Unique words percentage: 0.491606714628 0.524837075471 94% => More unique words wanted or less content wanted.
syllable_count: 692.1 618.680645161 112% => OK
avg_syllables_per_word: 1.7 1.51630824373 112% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 9.0 9.59856630824 94% => OK
Article: 3.0 3.08781362007 97% => OK
Subordination: 6.0 3.51792114695 171% => OK
Conjunction: 4.0 1.86738351254 214% => Less conjunction wanted as sentence beginning.
Preposition: 5.0 4.94265232975 101% => OK
Performance on sentences:
How many sentences: 20.0 20.6003584229 97% => OK
Sentence length: 20.0 20.1344086022 99% => OK
Sentence length SD: 49.6744149437 48.9658058833 101% => OK
Chars per sentence: 112.0 100.406767564 112% => OK
Words per sentence: 20.85 20.6045352989 101% => OK
Discourse Markers: 12.25 5.45110844103 225% => Less transition words/phrases wanted.
Paragraphs: 5.0 4.53405017921 110% => OK
Language errors: 0.0 5.5376344086 0% => OK
Sentences with positive sentiment : 15.0 11.8709677419 126% => OK
Sentences with negative sentiment : 2.0 3.85842293907 52% => More negative sentences wanted.
Sentences with neutral sentiment: 3.0 4.88709677419 61% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.418390863536 0.236089414692 177% => OK
Sentence topic coherence: 0.145516109969 0.076458572812 190% => OK
Sentence topic coherence SD: 0.141418732635 0.0737576698707 192% => OK
Paragraph topic coherence: 0.305501591561 0.150856017488 203% => OK
Paragraph topic coherence SD: 0.106539981326 0.0645574589148 165% => OK
Essay readability:
automated_readability_index: 14.3 11.7677419355 122% => OK
flesch_reading_ease: 42.72 58.1214874552 74% => OK
smog_index: 8.8 6.10430107527 144% => OK
flesch_kincaid_grade: 12.3 10.1575268817 121% => OK
coleman_liau_index: 13.87 10.9000537634 127% => OK
dale_chall_readability_score: 8.76 8.01818996416 109% => OK
difficult_words: 109.0 86.8835125448 125% => OK
linsear_write_formula: 11.5 10.002688172 115% => OK
gunning_fog: 10.0 10.0537634409 99% => OK
text_standard: 9.0 10.247311828 88% => OK
What are above readability scores?
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Rates: 73.3333333333 out of 100
Scores by essay e-grader: 22.0 Out of 30
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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.