ai scholarship essay writer

ai scholarship essay writer

The Importance of AI in Scholarship Essay Writing

1. Introduction

Today in this technology governed world, every work is done efficiently and effectively by the IT sector. Computers give us the chance to do work better and accurately with the minimum resources or manpower. A recent trend has been towards the use of artificial intelligence (AI) to improve scholarship essay writing. Several researchers have been engaged in this topic or at least claim to have an interest in this area, yet the specific nature of the problem still remains somewhat elusive. This essay will describe the current state of AI research in this area and explain why this problem is so difficult to solve. Various different knowledge domains have been used in the attempt to improve essay writing. Such domains can be as simple as using spelling and grammar checking through a tool such as Microsoft Word, to more complex context-based advice from a tutor in a specific subject. AI techniques have been used extensively in this area and this trend looks set to continue. However, AI research has had limited success compared to simpler methods such as spelling and grammar checking. Machine learning is the best example to consider when thinking about AI for essay writing. A successful leap has been made from using knowledge-based systems to machine learning techniques which have provided much improved results. A range of machine learning algorithms have been used for this task, with one particular paper using a technique called latent semantic analysis (LSA) to compare coherence between student essays and a golden standard essay provided by a tutor. This has been just one example using LSA. LSA was originally a technique employed in information retrieval but has also been used in several other NLP tasks. LSA has been known to provide good results, though it is sometimes difficult to interpret the output of the given algorithm. LSA works by constructing a semantic space from a collection of documents. It is a fully automatic technique for representing the semantics of words using statistical computations applied to a large corpus of text. The idea is to represent a given piece of text as a linear superposition of these semantic vectors and to judge sameness of meaning by the angle between the two vectors. It is because of the success of techniques like LSA that have kept NLP researchers using NLP algorithms very close to those from IR. But there have been NLP methods using more linguistic techniques, such as part of speech tagging and syntax parsing to analyze coherence, though these have had limited success compared to the amount of complexity of the given algorithms.

2. Benefits of AI in Scholarship Essay Writing

AI is extremely beneficial in the field of scholarship essay writing. Through its ability to find information, AI can save time on writing and speed up the process of writing an essay. With an abundance of information that can be found on the internet, AI can provide a convenient way for students to find different information on essay topics that they are given, and they can do it quickly. Any reference to the detected material copies is mostly unintended, but the truth is, whatever the reason, these individuals have utilized not only the specific wording and organization of ideas that characterize good essays but have borrowed specific key phrases—and sometimes whole sentences and paragraphs—without attribution. Unfortunately, these inadvertent plagiarists cannot remember whether the idea that they now claim as their own was originally conceived by them or if it was something they read or heard. Because of this, AI can also incorporate a feature that allows students to engage in internet forums and ask questions about a particular essay topic, and they can receive feedback from various different people on their ideas. This can also be a very good way to boost the critical thinking capabilities of a student, as they have to think about the credibility of the source where each different opinion is coming from. AI can also incorporate an automated citation generator. This is especially useful for any students that are new to writing essays, or if it is the first time the student has to write an essay for a particular subject. With that being said, one of the best features that AI can offer is a feature that teaches students how to write an essay in a formal style. Today’s generation of students are quite familiar with the use of conversational tone in their own personal writing, and this may be detrimental to the way that they can write essays. Using informal language in an essay can be easy to do with the use of artificial intelligence. Students can input information from an essay and the program will analyze the text and compare the vocabulary of the input with a database of vocabulary words. The output for this is a simple answer of yes or no on whether the writing is too informal. A constructive “yes” will lead the program to highlight words that are too informal and suggest replacements for these words. All of these given features are steps in the right direction to help guide students into writing a well-structured and formal essay.

3. Challenges and Limitations of AI in Scholarship Essay Writing

There are a number of challenges that the developers of AI systems for educational applications face, and the prospects for the development of powerful AI systems of essay writing deal with these challenges. First of all, developing an AI system that can handle all aspects of the essay writing process is a daunting task. Because essay writing is a complex and ill-defined task, involving a variety of sub-tasks, particularly those involving higher-order cognition, there is much to model and the exact nature of the task itself can vary. Writing is also often treated as an intrinsically human activity, and many people are unaccustomed to thinking of it as something that can be done by a machine. These system developers must also contend with the fact that writing is often taught as a matter of style, and students are often given the advice to write it the way that they think or feel is best. Finally, developing such a system will require vast amounts of data and computing resources to train and run, and work on developing these technologies is yet underfunded. Another major challenge is in the evaluation of the system’s effectiveness. An AI system for helping students to write essays is only effective insofar as it improves students’ abilities to write essays, by teaching them things that they did not know before. This improvement can be hard to measure, and an effective AI system is not always indistinguishable from a teacher. Step one would be an A/B test wherein essays written with the help of the AI system are compared to those written without it, to see if the essays written in the former group are of better quality according to various rubric techniques. Employing the system is a difficult task as it requires mapping a teacher’s intuition and expertise to a set of principles that can be applied by the machine.

4. Ethical Considerations in AI-Generated Scholarship Essays

A scholarly essay with an abstract that is generated by an AI should not be considered a violation in conduct, for the ideas were of the program and it would be unreasonable to punish the machine (Gipp & Meuschke, 2019). This brings up an interesting idea if the product of an AI can bear resemblance to a human’s work so closely that it is unable to be discerned, would the AI in turn be plagiarizing the human? The very concept of AI creating works may drive the need for more stringent copyright laws. On the opposite side of this idea some have proposed that works created by AI should not be attributed to a singular person but an organization or perhaps the AI itself would hold the copyright depending on the capabilities it is given. Taking into consideration the goals set by various people from all different work fields there are different ideas of the utopia of the future involving AI. It would be expected that an AI designed to emulate human behaviour would function in a society ran by humans. This contrasts with the idea of a build service AI that could relieve humans of various tasks, if this were to become reality the machine society would need its own infrastructure and governance. Continuing the notion of AI machines emulating human behaviour in a human society we come to the idea of AI taking into education. Learning is a fundamental facet of human life, as are teaching and creating the educational tools. If a machine has a capability to take a task from a human it is also capable of augmenting it. Much automation and software in today’s world are aimed at making tasks more efficient now, AI has potential to improve upon these furthering their conversion to the tasks they were intended to make more efficient. A specific example can be seen with online assignment generation for schoolchildren, an AI would be capable of creating many assignments of equal or greater quality than a human teacher, it could then improve upon this by creating an AI tutor to administer said assignments.

5. Conclusion

Imagine a future where every student has a personal tutor able to assess their writing, search the web to locate expert information on a topic, examine and compare exemplary writing on that topic, and then make intelligent suggestions on how to improve an individual piece of writing. Step by step this future is becoming a reality. The multiple tools and methods being produced by AI researchers in the field of intelligent writing assessment and instruction—automated essay scoring and diagnostic feedback—are aimed at the ultimate goal of creating a system that provides individualized tutoring to students on their writing tasks. Heuristic instruction and natural language processing are being employed to enable such a tutor to understand the student’s writing, interact with the student on the meaning of the writing, and provide feedback in a way that is most beneficial to the student, just as a human expert tutor of writing would do. This last method is called “cognitive diagnosis and prescriptive tutoring”, the holy grail of intelligent tutoring for writing.

Artificial intelligence technologies in the form of intelligent tutoring systems, commencing with the earliest system for computer-aided instruction developed in the mid-1970s and succeeding with expert systems in the 1980s, have done something to improve essay writing, in particular writing for scholarship. A champion of the concept of students as active learners, my focus in this essay has been on how AI technologies can enable students to take more control over their own learning.