As we acquire more knowledge, things do not become more comprehensible, but more complex and mysterious
As we acquire more knowledge, it exacerbates things rather than making them comprehensible.
Acquiring more knowledge means keeping in touch in multiple domain areas. I mostly agree with
this prompt.
If one gets into a myriad of fields, he can’t be an expert in a particular area. Posit a professor who
gets in touch with data mining, artificial intelligence, embedded systems, etc. He defaults to invent
novelty in any particular field that gets in touch with him. To provide any novelty in research, one
has to dive deeper into a single domain. By doing so, he can provide an ingenuous contribution to
that area.
Besides, having more knowledge makes a person perplexed about choosing the precise method.
For instance, he had to solve the shortest path problem in a graph. He knows all algorithms
congruent to graph traversal. At that moment, he became confused about BFs, DFs, Kruskal, and
Prims algorithms and which was better for the shortest path.
On the contrary, knowing more makes things more sensible. Let a professor solve a problem with
a machine learning approach. He also has experience in the deep learning field. He can solve that
problem using the CNN, RNN, etc. deep learning methods. Though he provides multidimentional
research activities, these do not contribute enough to society.
The arguments that are mentioned above are about the comprehension of things due to more
knowledge. The argument mentioned not becoming an expert in any particular domain and
confounding the solution process due to more knowledge. Besides, it shows how more knowledge
can provide different kinds of solutions
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-02-13 | Tammy__kk | 66 | view |
| 2023-10-25 | topeibisanmi@gmail.com | 66 | view |
| 2023-10-25 | topeibisanmi@gmail.com | 66 | view |
| 2023-10-25 | topeibisanmi@gmail.com | 66 | view |
| 2023-10-06 | sahil nain | 50 | view |
- We can usually learn much more from people whose views we share than from people whose views contradict our own disagreement can cause stress and inhibit learning 50
- Some people believe that it is helpful to view a challenging situation as an opportunity for personal growth Others believe that reimagining challenging situations this way occupies too much of the focus one needs to face challenges effectively 50
- As we acquire more knowledge things do not become more comprehensible but more complex and mysterious 50
- We can usually learn much more from people whose views we share than from people whose views contradict our own disagreement can cause stress and inhibit learning 54
- We can usually learn much more from people whose views we share than from people whose views contradict our own disagreement can cause stress and inhibit learning 50
Comments
Essay evaluations by e-grader
Grammar and spelling errors:
Line 2, column 94, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ltiple domain areas. I mostly agree with this prompt. If one gets into a myriad ...
^^^
Line 4, column 102, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...a particular area. Posit a professor who gets in touch with data mining, artifici...
^^^
Line 5, column 102, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...dded systems, etc. He defaults to invent novelty in any particular field that get...
^^^
Line 6, column 101, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... To provide any novelty in research, one has to dive deeper into a single domain....
^^^
Line 7, column 98, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...can provide an ingenuous contribution to that area. Besides, having more knowled...
^^^
Line 10, column 92, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...blem in a graph. He knows all algorithms congruent to graph traversal. At that mo...
^^^
Line 11, column 94, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...me confused about BFs, DFs, Kruskal, and Prims algorithms and which was better fo...
^^^
Line 13, column 94, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...le. Let a professor solve a problem with a machine learning approach. He also has...
^^^
Line 14, column 20, Rule ID: AFFORD_VB[1]
Message: This verb is used with the infinitive: 'to approach'
Suggestion: to approach
...lve a problem with a machine learning approach. He also has experience in the deep lea...
^^^^^^^^
Line 14, column 98, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...e deep learning field. He can solve that problem using the CNN, RNN, etc. deep le...
^^^
Line 15, column 92, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ods. Though he provides multidimentional research activities, these do not contri...
^^^
Line 17, column 89, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... the comprehension of things due to more knowledge. The argument mentioned not be...
^^^
Line 18, column 86, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...g an expert in any particular domain and confounding the solution process due to ...
^^^
Line 19, column 93, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ge. Besides, it shows how more knowledge can provide different kinds of solutions...
^^^
Transition Words or Phrases used:
also, besides, but, if, so, as to, for instance, on the contrary
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 19.5258426966 20% => More to be verbs wanted.
Auxiliary verbs: 4.0 12.4196629213 32% => OK
Conjunction : 3.0 14.8657303371 20% => More conjunction wanted.
Relative clauses : 7.0 11.3162921348 62% => More relative clauses wanted.
Pronoun: 22.0 33.0505617978 67% => OK
Preposition: 35.0 58.6224719101 60% => More preposition wanted.
Nominalization: 6.0 12.9106741573 46% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1388.0 2235.4752809 62% => OK
No of words: 262.0 442.535393258 59% => More content wanted.
Chars per words: 5.29770992366 5.05705443957 105% => OK
Fourth root words length: 4.02323427807 4.55969084622 88% => OK
Word Length SD: 2.8618930436 2.79657885939 102% => OK
Unique words: 155.0 215.323595506 72% => More unique words wanted.
Unique words percentage: 0.591603053435 0.4932671777 120% => OK
syllable_count: 415.8 704.065955056 59% => syllable counts are too short.
avg_syllables_per_word: 1.6 1.59117977528 101% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 14.0 6.24550561798 224% => Less pronouns wanted as sentence beginning.
Article: 3.0 4.99550561798 60% => OK
Subordination: 3.0 3.10617977528 97% => OK
Conjunction: 1.0 1.77640449438 56% => OK
Preposition: 4.0 4.38483146067 91% => OK
Performance on sentences:
How many sentences: 21.0 20.2370786517 104% => OK
Sentence length: 12.0 23.0359550562 52% => The Avg. Sentence Length is relatively short.
Sentence length SD: 26.8274912303 60.3974514979 44% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 66.0952380952 118.986275619 56% => More chars_per_sentence wanted.
Words per sentence: 12.4761904762 23.4991977007 53% => More words per sentence wanted.
Discourse Markers: 3.04761904762 5.21951772744 58% => More transition words/phrases wanted.
Paragraphs: 18.0 4.97078651685 362% => Less paragraphs wanted.
Language errors: 14.0 7.80617977528 179% => OK
Sentences with positive sentiment : 4.0 10.2758426966 39% => More positive sentences wanted.
Sentences with negative sentiment : 6.0 5.13820224719 117% => OK
Sentences with neutral sentiment: 11.0 4.83258426966 228% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.277816339552 0.243740707755 114% => OK
Sentence topic coherence: 0.0853918277438 0.0831039109588 103% => OK
Sentence topic coherence SD: 0.121057510576 0.0758088955206 160% => OK
Paragraph topic coherence: 0.0934351840541 0.150359130593 62% => OK
Paragraph topic coherence SD: 0.121412090588 0.0667264976115 182% => OK
Essay readability:
automated_readability_index: 9.8 14.1392134831 69% => Automated_readability_index is low.
flesch_reading_ease: 59.3 48.8420337079 121% => OK
smog_index: 3.1 7.92365168539 39% => Smog_index is low.
flesch_kincaid_grade: 8.0 12.1743820225 66% => OK
coleman_liau_index: 12.57 12.1639044944 103% => OK
dale_chall_readability_score: 8.39 8.38706741573 100% => OK
difficult_words: 69.0 100.480337079 69% => More difficult words wanted.
linsear_write_formula: 6.0 11.8971910112 50% => Linsear_write_formula is low.
gunning_fog: 6.8 11.2143820225 61% => OK
text_standard: 10.0 11.7820224719 85% => OK
What are above readability scores?
---------------------
Maximum six paragraphs wanted.
Rates: 50.0 out of 100
Scores by essay e-grader: 3.0 Out of 6
---------------------
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.
Grammar and spelling errors:
Line 2, column 94, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ltiple domain areas. I mostly agree with this prompt. If one gets into a myriad ...
^^^
Line 4, column 102, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...a particular area. Posit a professor who gets in touch with data mining, artifici...
^^^
Line 5, column 102, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...dded systems, etc. He defaults to invent novelty in any particular field that get...
^^^
Line 6, column 101, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... To provide any novelty in research, one has to dive deeper into a single domain....
^^^
Line 7, column 98, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...can provide an ingenuous contribution to that area. Besides, having more knowled...
^^^
Line 10, column 92, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...blem in a graph. He knows all algorithms congruent to graph traversal. At that mo...
^^^
Line 11, column 94, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...me confused about BFs, DFs, Kruskal, and Prims algorithms and which was better fo...
^^^
Line 13, column 94, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...le. Let a professor solve a problem with a machine learning approach. He also has...
^^^
Line 14, column 20, Rule ID: AFFORD_VB[1]
Message: This verb is used with the infinitive: 'to approach'
Suggestion: to approach
...lve a problem with a machine learning approach. He also has experience in the deep lea...
^^^^^^^^
Line 14, column 98, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...e deep learning field. He can solve that problem using the CNN, RNN, etc. deep le...
^^^
Line 15, column 92, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ods. Though he provides multidimentional research activities, these do not contri...
^^^
Line 17, column 89, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... the comprehension of things due to more knowledge. The argument mentioned not be...
^^^
Line 18, column 86, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...g an expert in any particular domain and confounding the solution process due to ...
^^^
Line 19, column 93, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ge. Besides, it shows how more knowledge can provide different kinds of solutions...
^^^
Transition Words or Phrases used:
also, besides, but, if, so, as to, for instance, on the contrary
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 19.5258426966 20% => More to be verbs wanted.
Auxiliary verbs: 4.0 12.4196629213 32% => OK
Conjunction : 3.0 14.8657303371 20% => More conjunction wanted.
Relative clauses : 7.0 11.3162921348 62% => More relative clauses wanted.
Pronoun: 22.0 33.0505617978 67% => OK
Preposition: 35.0 58.6224719101 60% => More preposition wanted.
Nominalization: 6.0 12.9106741573 46% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1388.0 2235.4752809 62% => OK
No of words: 262.0 442.535393258 59% => More content wanted.
Chars per words: 5.29770992366 5.05705443957 105% => OK
Fourth root words length: 4.02323427807 4.55969084622 88% => OK
Word Length SD: 2.8618930436 2.79657885939 102% => OK
Unique words: 155.0 215.323595506 72% => More unique words wanted.
Unique words percentage: 0.591603053435 0.4932671777 120% => OK
syllable_count: 415.8 704.065955056 59% => syllable counts are too short.
avg_syllables_per_word: 1.6 1.59117977528 101% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 14.0 6.24550561798 224% => Less pronouns wanted as sentence beginning.
Article: 3.0 4.99550561798 60% => OK
Subordination: 3.0 3.10617977528 97% => OK
Conjunction: 1.0 1.77640449438 56% => OK
Preposition: 4.0 4.38483146067 91% => OK
Performance on sentences:
How many sentences: 21.0 20.2370786517 104% => OK
Sentence length: 12.0 23.0359550562 52% => The Avg. Sentence Length is relatively short.
Sentence length SD: 26.8274912303 60.3974514979 44% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 66.0952380952 118.986275619 56% => More chars_per_sentence wanted.
Words per sentence: 12.4761904762 23.4991977007 53% => More words per sentence wanted.
Discourse Markers: 3.04761904762 5.21951772744 58% => More transition words/phrases wanted.
Paragraphs: 18.0 4.97078651685 362% => Less paragraphs wanted.
Language errors: 14.0 7.80617977528 179% => OK
Sentences with positive sentiment : 4.0 10.2758426966 39% => More positive sentences wanted.
Sentences with negative sentiment : 6.0 5.13820224719 117% => OK
Sentences with neutral sentiment: 11.0 4.83258426966 228% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.277816339552 0.243740707755 114% => OK
Sentence topic coherence: 0.0853918277438 0.0831039109588 103% => OK
Sentence topic coherence SD: 0.121057510576 0.0758088955206 160% => OK
Paragraph topic coherence: 0.0934351840541 0.150359130593 62% => OK
Paragraph topic coherence SD: 0.121412090588 0.0667264976115 182% => OK
Essay readability:
automated_readability_index: 9.8 14.1392134831 69% => Automated_readability_index is low.
flesch_reading_ease: 59.3 48.8420337079 121% => OK
smog_index: 3.1 7.92365168539 39% => Smog_index is low.
flesch_kincaid_grade: 8.0 12.1743820225 66% => OK
coleman_liau_index: 12.57 12.1639044944 103% => OK
dale_chall_readability_score: 8.39 8.38706741573 100% => OK
difficult_words: 69.0 100.480337079 69% => More difficult words wanted.
linsear_write_formula: 6.0 11.8971910112 50% => Linsear_write_formula is low.
gunning_fog: 6.8 11.2143820225 61% => OK
text_standard: 10.0 11.7820224719 85% => OK
What are above readability scores?
---------------------
Maximum six paragraphs wanted.
Rates: 50.0 out of 100
Scores by essay e-grader: 3.0 Out of 6
---------------------
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.