ai essay writers

ai essay writers

The Impact of AI on Essay Writing: Opportunities and Challenges

1. Introduction to AI in Essay Writing

The burgeoning of technologies is expected to revolutionize education, alleviate the challenges of teacher shortages, and provide equitable, individualized, and distinctive learning opportunities across the globe. Our survey provides a comprehensive and up-to-date review of some challenges, opportunities, and future prospects for introducing AI technology into essay writing. The rest of the paper is organized as follows: the next section provides some background; section 3 includes techniques for improved essay writing; section 4 provides opportunities for essay writing and describes how to introduce these into traditional classrooms. In the fifth section, we describe the challenges that AI technologies face and the potential limitations of these technologies. In section 6, we describe the plan for us to judge AI essays. Finally, we conclude the survey in section 7. Overall, we hope our examination provides a clear and comprehensive understanding of how the integrated use of AI in traditional writing assignments offers promise for a wide range of stakeholders in the essay writing line. The impact of AI on essay writing: opportunities and challenges.

1. Introduction The development of AI technology has brought great changes to various application scenarios. Nowadays, AI technology has been integrated into fields of automatic essay evaluation (AEE) and intelligent tutoring systems (ITS). The process of AI participating in essay writing includes two directions. One is the study of AI generating essays directly. It is a natural language processing problem. The solutions also explore many language generation techniques such as machine learning-based methods, template-based methods, and replacement-based language models. The other is an important application of NLP techniques in copying, writing, and revising stages of the essay writing process. Many tasks such as paraphrase generation, grammar error correction, and summarization that belong to this category have been applied to this area. In this survey, we mainly focus on these types of essays. AI-generated essays review many different research loads since earlier times in the advancing of computing technology. AI technology may change the landscape of tutors. AI can assist students with administrative tasks automatically so that teachers can communicate more effectively with students without engaging in the most mechanical work. Students can work through lessons at their own pace instead of waiting for teachers to be available. AI-generated essays can also be good training data for a variety of downstream language tasks such as language model fine-tuning, transfer learning methods for out-of-distribution compositionality generalization.

2. Advantages of AI Essay Writers

Being able to have their essays written for free means that it is “possible to skip the task in school and move directly to a low-wage paying job” according to Andy Bechtel, technology entrepreneur and chief executive officer of AI student essays giant, Bayou AI. Andy Bechtel is referring to the possibility that students may not choose to write their essays with or without a paid service. Alternatively, he argues that they may still decide to write their essays using his AI. Andy thinks he is already disrupting the custom essay writing industry in which he founded Bayou AI. He said: “High school students can use it to write their research paper in their junior and senior year (and for the wealthy, down to middle school). After a student writes their first paper using Bayou AI, they can use the citations from their first paper to write the rest of their essays for free. They can also use the features of Bayou to enable them to schedule deep work sessions in which they can work through Bayou’s idea for helping students complete their research papers bit by bit.”

AIs are software, and they can parallel-process vast amounts of information far more quickly than humans, with the potential to be far more knowledgeable than humans within a few minutes. AIs are evolving and they can now write college (A-level and undergraduate) essays, research papers, and doctoral dissertations. This is the first time AIs have been capable of writing in restricted natural language, such as that required within conventional academic essays, with a validated capacity of at least equivalent quality to human writing. This is a transformational breakthrough for all teachers of students who need to write essays and academic papers. It is now feasible for all of those students to have unlimited access to the teaching and support they need from intelligent and empathetic AIs.

3. Ethical and Educational Implications

Automatic essay scoring and AI-assisted essay writing are part of the educational activities and systems that both permit the exploration of these two categories of concerns as they play out within education and suggest new strategies for confronting them. They are part of the interface that lies between the AI-science technology providers and IP-users, intermediated by educational institutions that bring standards and promote various educational goals. These AI-educational technologies do not work in isolation or for any end, but channel the inputs of other educational entities, like educators, students, which also possess ethical significance, and play an educative role, on a specific scale of human interaction. On one hand, the ethical, educational, and design choices worth considering in an educational context are subordinate to what AI technology currently can do with respect to text, and what other concerns are present in commercial situations in which these technologies would be deployed. These are classes of constraints, of the kind provided by example commercial and design requirements or other situations.

Closely linked to the social impact of AI is a third group of concerns that arise from the integration between AI and education, as it extends the scope of the educational process and exposes certain conditions for the IPs which are distinctly educational. The most obvious are related to the positive contributions that AI systems could make in aiding learning and teaching, from the personalized educational experiences through the interactions with intelligent tutors, virtual laboratories, and games, to the creativity support that educational AI systems might provide. However, ethical concerns are intertwined with the educational ones. Most significantly, there is a worry about the impact of meaningful learning on IPs through the educational practices that involve automation of their responses to educational stimuli. How might unanticipated interaction with AI educational systems influence the IPs’ development, or even harm them? Such concerns are not distinctive to those arising in applications of AI to everyday life (beyond education) but their realization at school unlocks new strategies for addressing them.

4. Future Directions and Recommendations

Data was analyzed to reconstruct these multiple and overlapping frameworks and provide researchers and practitioners with a detailed understanding of how AI-assisted writing is being built, adopted, and supported, and of how it might eventually fit with, extend, or contest even more technology-intensive future constructions of student writing. The contributions of this paper are manifold. First, pedagogically, it seeks to offer a bird’s-eye perspective on how two important but different medium-term futures for dissertation writing in higher education are evolving. Second, it brings to the fore some of the very different ways that AI is managing and reshaping student writing supports and could continue to do so.

Here we present views of selected experts to gain insights into how AI and emerging technologies are shaping or might shape the ways that essays are written, reviewed, and assessed. The report adds a systematic review of what is known about how these technologies are reshaping writing practices, particularly in the context of education. Several directions for future research emerged. We draw these out here, grouping them into research, pedagogy, and infrastructure, and then articulate several recommendations for stakeholders who are actively working within or helping to steer these developments in the higher education sector.