Project Detail

Description

Hello , thank you for visiting my project.

Around $5 per rewriting per article (450 - 500 words). Please bid per 8 articles.
The requirement is (paraphrasing and rewriting). The English MUST BE PERFECT.
Please do not bid if you cannot rewrite the articles using proper English.

*** The writer must MUST have the ability to cite according to APA style.

Important: The field and the topics will be about “ elearning, computer sciences, research methodology”.

I will supply you with all of the original articles to be rewritten.
3 articles must be submitted per day.

Payment will be in instalments after I see the work. I am sorry that I can not pay in advance.
Please DO NOT ask for payment or escrew in advance. I will pay you after I see the work.

When I hire a new writers I pay them at the completion of every 3 articles to show that I pay on time.

Also, the rewrite of the articles must be 100 85% unique, they will be reviewed through plagiarism detection. If an article you submit to me does not pass nor has spelling and punctuation mistakes, you will not be paid for that article.

I will not be able to pay if all requirements in this listing aren't met, so please don't bid if you can't meet these requirements.

You agree that upon sending me the rewrites all rights to the rewritten articles transfer to me. This means you will not sell, reproduce or re-use these articles in any way.

Please be able to communicate 1-2 times per day via email or messenger.

please pm me when can you start, and how many articles you can do per day.

Bids will only be considered with the below samples or rewriting and the original together.

When biding please write” I read the requirement” to know that you are serious.

please check the (http://owl.english.purdue.edu/owl/resource/619/01/ ) before you bid.
Thank you


sample1
Bayesian networks (BNs), also known as belief net-works (or Bayes nets for short), belong to the family of probabilistic graphical models (GMs) [1]. These graphical structures are used to represent knowledge about an uncertain domain. In particular, each node in the graph represents a random variable, while the edges between the nodes represent probabilistic dependencies among the corresponding random variables. These conditional dependencies in the graph are often estimated by using known statistical and computational methods. Hence, BNs combine principles from graph theory, probability theory, computer science, and statistics.

sample2
Again, there is strong evidence for the existence of these styles but what they mean for instructional design is less clear, particularly in terms of matching instruction to cognitive style. While there is some evidence (Ford and Chen 2001; Riding and Watts 1997) that matching learning materials to a student’s cognitive style improves both performance and satisfaction, some authors argue that mismatching materials and learning styles is beneficial as it helps students develop a more balanced approach. Constantinidou and Baker (2002) found that pictorial presentation was advantageous for all adults taking an item-recall test – indeed, it was especially so for those with a strong preference for verbal processing.