No field of study can advance significantly unless it incorporates knowledge and experience from outside that field Write a response in which you discuss the extent to which you agree or disagree with the statement and explain your reasoning for the posit | TOEFL IELTS GMAT GRE SAT ACT PTE ESL

Essay topics:

No field of study can advance significantly unless it incorporates knowledge and experience from outside that field.

Write a response in which you discuss the extent to which you agree or disagree with the statement and explain your reasoning for the position you take. In developing and supporting your position, you should consider ways in which the statement might or might not hold true and explain how these considerations shape your position.

The author of this issue believe that no field of study can improve significantly unless it incorporate knowledge and experience from outside that field. In my humble view, it is undeniably true that blending with knowledge from external disciplines could promote our achievement in our research field. However, this doesn't mean that such approach could be applied for all of cases. It is also worth to point out that the efficiency of such approach actually depends on various factors.

To start off, as increasingly closer collaboration with diverse discipline, incorporating knowledge and experience from outside fields could promote deep insights by inspiring innovative ideas and leveraging extra tools. On one hand, combination of knowledge from extra fields could stimulate us to transform practice or theorem from one field to another, because their potential relationship of methodologies provide foundation of such probability. Additionally, some fundamental disciplines are capable of providing us with advanced diagnosis tools, which allow us to explore our own field in more profound level. For supporting example, we can no further go for marriage between mathematics and computer science. By melding with powerful tools in calculus and probabilistic model in statistics, scientists have created a spate of brand-new algorithm models and applied them for many practical issues in artificial intelligence, a sub-branch of computer science. Without such imaginatively cross-boundary applications, we can't even imagine today's bloom of deep learning in artificial intelligence.

Despite the aforementioned advantages, I have to contend that this strategy isn't a panacea for all fields. In this first place, not all of fields are close relevance with each other as much as the aforementioned case in mathematics and computer science. Because many disciplines, especially between literature and logical reasoning, couldn't share their methodologies. Therefore, it is a kind of whims for us to transport knowledge in one field to other. Moreover, even if it is, blind reference without understanding the exact restriction or application scenario might lead to severely detrimental results. For instance, we can't apply writing skills of literature into an algorithm models of computer science as their impassible methodological gulf. Similarly, if one don't comprehend with fixed point theorem in mathematics, but tries to naively utilize it in Reinforcement Learning model, the ultimate results doom to fail.

Furthermore, the author's over-optimistic could be betrayed in the statement, which implies that great accomplishment merely hinges on external experience. Unfortunately, such assumption is problematic and doesn't always hold true. Any significant achievement in existing fields, especially for fundamental fields, is actually much more complexity, since many factors would impact inevitably with such outgrowth. As is often case, such accomplishment is subject to determination of national leaders, sufficient public financial funding and contribution from elites, even the overall social milieu. What matter most is the status quo of such research: is it at the elementary phase, mature period or degradation time? In general, more mature the field is, more challenging new breakthroughs can be made. Take China's nuclear weapon development in 1950s as an example. As great determination from chairman Mao and tremendous financial support, such endeavor could take more smooth progress. Despite lacks of theorical foundation, the young scientists who participated in such research, could free from various bridles and explore with their own ways. Thus, why Chinese nuclear model is slightly different from that of America or Russia. In this sense, sometimes other factors might overweight lending knowledge from external fields in regards to deciding significant accomplishment.

In summary, it is beneficial for us to lend ideas or knowledge from other fields, because innovations is likely to emerge and we can explore further via new tools. However, as huge gulf between certain fields, such strategy might fail in some circumstance. Furthermore, many distinct factors could also heavily impact the efficiency of such approach. Therefore, we can't hastily come to the conclusion that corporation with knowledge outside our major would definitely lead to success.

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Post date	Users	Rates	Link to Content
2023-07-22	jayauen	57	view

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Grammar and spelling errors:
Line 1, column 93, Rule ID: IT_VBZ[1]
Message: Did you mean 'incorporates'?
Suggestion: incorporates
...udy can improve significantly unless it incorporate knowledge and experience from outside t...
^^^^^^^^^^^
Line 1, column 318, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: doesn't
...nt in our research field. However, this doesnt mean that such approach could be applie...
^^^^^^
Line 3, column 1025, Rule ID: CANT[1]
Message: Did you mean 'can't' or 'cannot'?
Suggestion: can't; cannot
...atively cross-boundary applications, we cant even imagine todays bloom of deep learn...
^^^^
Line 5, column 77, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: isn't
...s, I have to contend that this strategy isnt a panacea for all fields. In this first...
^^^^
Line 5, column 334, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: couldn't
...tween literature and logical reasoning, couldnt share their methodologies. Therefore, i...
^^^^^^^
Line 5, column 625, Rule ID: CANT[1]
Message: Did you mean 'can't' or 'cannot'?
Suggestion: can't; cannot
...y detrimental results. For instance, we cant apply writing skills of literature into...
^^^^
Line 5, column 769, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: don't
... methodological gulf. Similarly, if one dont comprehend with fixed point theorem in ...
^^^^
Line 5, column 884, Rule ID: AFFORD_VB[1]
Message: This verb is used with the infinitive: 'to model'
Suggestion: to model
...ly utilize it in Reinforcement Learning model, the ultimate results doom to fail. ...
^^^^^
Line 7, column 206, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: doesn't
...ely, such assumption is problematic and doesnt always hold true. Any significant achie...
^^^^^^
Line 7, column 841, Rule ID: IN_1990s[1]
Message: The article is probably missing here: 'in the 1950s'.
Suggestion: in the 1950s
... Take Chinas nuclear weapon development in 1950s as an example. As great determination f...
^^^^^^^^
Line 7, column 1328, Rule ID: IN_REGARD_TO[1]
Message: Use simply 'regarding' or 'with regard to'.
Suggestion: regarding; with regard to
... lending knowledge from external fields in regards to deciding significant accomplishment. ...
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Line 7, column 1379, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...to deciding significant accomplishment. In summary, it is beneficial for us to l...
^^^^^
Line 9, column 366, Rule ID: CANT[1]
Message: Did you mean 'can't' or 'cannot'?
Suggestion: can't; cannot
...iciency of such approach. Therefore, we cant hastily come to the conclusion that cor...
^^^^

Transition Words or Phrases used:
actually, also, but, first, furthermore, however, if, moreover, similarly, so, therefore, thus, for instance, in general, in summary, kind of, such as

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 19.0 19.5258426966 97% => OK
Auxiliary verbs: 17.0 12.4196629213 137% => OK
Conjunction : 19.0 14.8657303371 128% => OK
Relative clauses : 12.0 11.3162921348 106% => OK
Pronoun: 43.0 33.0505617978 130% => Less pronouns wanted
Preposition: 99.0 58.6224719101 169% => OK
Nominalization: 33.0 12.9106741573 256% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.

Performance on vocabulary words:
No of characters: 3741.0 2235.4752809 167% => OK
No of words: 650.0 442.535393258 147% => Less content wanted.
Chars per words: 5.75538461538 5.05705443957 114% => OK
Fourth root words length: 5.04926703274 4.55969084622 111% => OK
Word Length SD: 3.18937771007 2.79657885939 114% => OK
Unique words: 347.0 215.323595506 161% => OK
Unique words percentage: 0.533846153846 0.4932671777 108% => OK
syllable_count: 1151.1 704.065955056 163% => OK
avg_syllables_per_word: 1.8 1.59117977528 113% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 10.0 6.24550561798 160% => OK
Article: 5.0 4.99550561798 100% => OK
Subordination: 10.0 3.10617977528 322% => Less adverbial clause wanted.
Conjunction: 1.0 1.77640449438 56% => OK
Preposition: 12.0 4.38483146067 274% => Less preposition wanted as sentence beginnings.

Performance on sentences:
How many sentences: 32.0 20.2370786517 158% => OK
Sentence length: 20.0 23.0359550562 87% => OK
Sentence length SD: 45.3046868264 60.3974514979 75% => OK
Chars per sentence: 116.90625 118.986275619 98% => OK
Words per sentence: 20.3125 23.4991977007 86% => OK
Discourse Markers: 4.6875 5.21951772744 90% => OK
Paragraphs: 5.0 4.97078651685 101% => OK
Language errors: 13.0 7.80617977528 167% => OK
Sentences with positive sentiment : 19.0 10.2758426966 185% => OK
Sentences with negative sentiment : 8.0 5.13820224719 156% => OK
Sentences with neutral sentiment: 5.0 4.83258426966 103% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.237604387309 0.243740707755 97% => OK
Sentence topic coherence: 0.0586155550439 0.0831039109588 71% => OK
Sentence topic coherence SD: 0.0731235257273 0.0758088955206 96% => OK
Paragraph topic coherence: 0.144391409642 0.150359130593 96% => OK
Paragraph topic coherence SD: 0.0635568690955 0.0667264976115 95% => OK

Essay readability:
automated_readability_index: 15.9 14.1392134831 112% => OK
flesch_reading_ease: 34.26 48.8420337079 70% => OK
smog_index: 11.2 7.92365168539 141% => OK
flesch_kincaid_grade: 13.5 12.1743820225 111% => OK
coleman_liau_index: 16.13 12.1639044944 133% => OK
dale_chall_readability_score: 9.39 8.38706741573 112% => OK
difficult_words: 196.0 100.480337079 195% => OK
linsear_write_formula: 12.0 11.8971910112 101% => OK
gunning_fog: 10.0 11.2143820225 89% => OK
text_standard: 12.0 11.7820224719 102% => 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.

Essay evaluations by e-grader

Transition Words or Phrases used:
actually, also, but, first, furthermore, however, if, moreover, similarly, so, therefore, thus, for instance, in general, in summary, kind of, such as

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments