The best way to teach is to praise positive actions and ignore negative ones.
Write a response in which you discuss the extent to which you agree or disagree with the recommendation and explain your reasoning for the position you take. In developing and supporting your position, describe specific circumstances in which adopting the recommendation would or would not be advantageous and explain how these examples shape your position.
Learning is an ongoing process. Humans often learn from their mistakes is a hackneyed statement. Instead, humans constantly judge their surroundings and incessantly interpret things happening around them and create a their own viewpoint based on their morale, previous experiences and feelings. On the other hand, teaching is exactly the cause of learning. Humans are constantly being taught subconsciously by their surrounding activities, by their acquaintances and by their inner self. But, is focussing and appreciating just the positive action and abjuring one’s view of negative actions the best way to teach? Most certainly not!
Since childhood, kids are taught several things; manners, behaviours, speech, academics (knowledge about the world). There are instances where children go awry and show uncouth behaviour at times. For instance, children are specifically obsessive with their toys and they are taught to be kind and to share their belongings with other children but at times they ignore their teachings and start behaving erratically. If children were just praised for their good actions, it would be as if weight is being added to one side of a weighing scale; when a balanced scale is the ideal condition. Thus pointing and censuring children when they behave erroneously would make them sure to not repeat such behaviour again ever; instead if ignored, children are tender enough to not understand what is right and wrong, what is positive and negative, what is good and bad, would lead to another instance of such a negative action.
Rewards and punishment, is a type of mechanism deployed to train a machine learning model. A rudimentary and most fundamental algorithm in the realm of machine learning is reinforcement learning where at its core the system’s goal is to maximise a numerical reward. It is “taught” to behave using the mechanism of rewards and punishment. Whenever the model/system behaves against the ideal path, it is punished by taking a hit on its numerical reward. Thus in order to create an ideal, becoming algorithm it has to be taught by praising its positive actions (with positive reward) but moreover its negative actions are not ignored.
To sum it up, teachings are just not only the accolades of positive actions but a perfect and delicate balance of censure and praises.
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- The following appeared in a memo from the owner of a chain of cheese stores located throughout the United States For many years all the stores in our chain have stocked a wide variety of both domestic and imported cheeses Last year however all of the five 50
- The following appeared in a memo from the mayor of Brindleburg to the city council Two years ago the town of Seaside Vista opened a new municipal golf course and resort hotel Since then the Seaside Vista Tourism Board has reported a 20 increase in visitor 68
- The real talent of a popular musician cannot accurately be assessed until the musician has been dead for several generations so that his or her fame does not interfere with honest assessment 50
- What society has thought to be its greatest social political and individual achievements have often resulted in the greatest discontent 50
- The following appears in a letter to the editor for the West Lansburg News The tufted groundhog lives in the coastal wetlands of West Lansburg Ancient records suggest that the tufted groundhog once numbered in the millions Since they were declared a wildl 77
Grammar and spelling errors:
Line 1, column 216, Rule ID: DT_PRP[1]
Message: Possible typo. Did you mean 'a' or 'their'?
Suggestion: a; their
...things happening around them and create a their own viewpoint based on their morale, pr...
^^^^^^^
Line 5, column 85, Rule ID: AFFORD_VB[1]
Message: This verb is used with the infinitive: 'to model'
Suggestion: to model
...sm deployed to train a machine learning model. A rudimentary and most fundamental alg...
^^^^^
Line 5, column 453, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Thus,
...y taking a hit on its numerical reward. Thus in order to create an ideal, becoming a...
^^^^
Transition Words or Phrases used:
but, if, moreover, thus, as to, for instance, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 28.0 19.5258426966 143% => OK
Auxiliary verbs: 3.0 12.4196629213 24% => OK
Conjunction : 22.0 14.8657303371 148% => OK
Relative clauses : 4.0 11.3162921348 35% => More relative clauses wanted.
Pronoun: 25.0 33.0505617978 76% => OK
Preposition: 44.0 58.6224719101 75% => OK
Nominalization: 8.0 12.9106741573 62% => OK
Performance on vocabulary words:
No of characters: 1963.0 2235.4752809 88% => OK
No of words: 374.0 442.535393258 85% => More content wanted.
Chars per words: 5.2486631016 5.05705443957 104% => OK
Fourth root words length: 4.3976220399 4.55969084622 96% => OK
Word Length SD: 2.83572379883 2.79657885939 101% => OK
Unique words: 205.0 215.323595506 95% => OK
Unique words percentage: 0.548128342246 0.4932671777 111% => OK
syllable_count: 594.0 704.065955056 84% => OK
avg_syllables_per_word: 1.6 1.59117977528 101% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 6.24550561798 48% => OK
Article: 1.0 4.99550561798 20% => OK
Subordination: 4.0 3.10617977528 129% => OK
Conjunction: 0.0 1.77640449438 0% => OK
Preposition: 4.0 4.38483146067 91% => OK
Performance on sentences:
How many sentences: 17.0 20.2370786517 84% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 22.0 23.0359550562 96% => OK
Sentence length SD: 70.1280094988 60.3974514979 116% => OK
Chars per sentence: 115.470588235 118.986275619 97% => OK
Words per sentence: 22.0 23.4991977007 94% => OK
Discourse Markers: 3.70588235294 5.21951772744 71% => OK
Paragraphs: 4.0 4.97078651685 80% => OK
Language errors: 3.0 7.80617977528 38% => OK
Sentences with positive sentiment : 9.0 10.2758426966 88% => OK
Sentences with negative sentiment : 5.0 5.13820224719 97% => OK
Sentences with neutral sentiment: 3.0 4.83258426966 62% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.127874659492 0.243740707755 52% => OK
Sentence topic coherence: 0.0420841368313 0.0831039109588 51% => OK
Sentence topic coherence SD: 0.0645509587049 0.0758088955206 85% => OK
Paragraph topic coherence: 0.0819021519512 0.150359130593 54% => OK
Paragraph topic coherence SD: 0.00936412834142 0.0667264976115 14% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 14.3 14.1392134831 101% => OK
flesch_reading_ease: 49.15 48.8420337079 101% => OK
smog_index: 8.8 7.92365168539 111% => OK
flesch_kincaid_grade: 11.9 12.1743820225 98% => OK
coleman_liau_index: 13.17 12.1639044944 108% => OK
dale_chall_readability_score: 9.08 8.38706741573 108% => OK
difficult_words: 103.0 100.480337079 103% => OK
linsear_write_formula: 7.0 11.8971910112 59% => Linsear_write_formula is low.
gunning_fog: 10.8 11.2143820225 96% => OK
text_standard: 11.0 11.7820224719 93% => OK
What are above readability scores?
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Better to have 5/6 paragraphs with 3/4 arguments. And try always support/against one side but compare two sides, like this:
para 1: introduction
para 2: reason 1. address both of the views presented for reason 1
para 3: reason 2. address both of the views presented for reason 2
para 4: reason 3. address both of the views presented for reason 3
para 5: reason 4. address both of the views presented for reason 4 (optional)
para 6: conclusion.
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.