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The Role of AI-Powered Tools in Enhancing Writing Skills: A Comprehensive Study
Recently, AI-powered writing tools have started to be adopted by public users. A number of writing assistance tools such as Grammarly, Turnitin, and Disqus enhance the writing skill of users by enabling conversation with like-minded candidates, translating languages, paraphrasing, and comparing contents with similar websites. This study presents a series of AI-powered tools specifically developed for the advanced writing issues faced by development professionals. Our research examines the acceptance of writing assistance tech tools in advanced requirements and related viewpoints towards AI-powered writing tools. Our method uses intersection analysis to collect and cluster a large number of requirements for judging the meta-requirements. The results demonstrate that the AI-powered tool providers endorse general views towards the AI-powered writing tools.
Writing is a transaction between the reader and the writer. The reader wants well-organized, carefully considered information, usually delivered with clarity and flair. A vast amount of research has already been done to understand the behaviors of professional writing and to construct innovative tools that enhance writer skills and aid in writing. Furthermore, the invention of naturally intelligent tech tools is demonstrating some appealing capabilities which are demonstrated using large-scale development.
Writing is a fundamental skill required across every walk of life. It’s not just for professional writers. Businesspeople and professionals are mostly responsible for educating their clients and explaining difficult, specialized subjects to a non-specialized audience. Scientists and medical researchers provide information to educate their peers and the public about new discoveries. Engineers not only design things but often need to explain their designs to construction or manufacturing teams.
Observationally, students go for character-driven writing checks alone to increase their marks, as other checks seem quite expensive. It is necessary that students should be well-aware of the benefits of utilizing AI and structure-driven features and the importance of working for an original content to a greater extent. The step-by-step working methodology and the concept of using structure-driven features to improve essay quality were detailed here. Prefix-Suffix tree and ontology-based algorithms are introduced, and based on the results obtained, the usage of these algorithms along with other tools was also discussed. The preprocessing part of character creation was introduced and the drawbacks and the future scope of the same were discussed in detail. Result output clearly showed the actual implementation of character-driven and structure-driven writing improvements, with the results tabulated to compare the effectiveness of each tool used.
In an academic research or writing, originality and authenticity are the primary key aspects, and for a student, achieving such benchmarks is always a problematic situation. Much exposure to the same topic or writing style has an indirect impact on essay completion, which ultimately affects the writing quality. Here is where the importance of essay check comes into the spotlight. There are two types of writing improvements: character-driven writing improvements and structure-driven writing improvements. Character-driven essay improvements are much easier than structure-driven writing improvements. Where character-driven writing improvements can solve problems relating to grammar, spelling, and punctuation, structure-driven writing checks can solve a lot more than that; problems related to content and writing style would also be examined.
Finally, it is common for AI tools to be trained in writing conventions of English. This restriction in language, written guidelines, and assumptions limits who can benefit from essay-focused AI tools and the task/topic type of writing that can be assessed effectively.
In terms of the impact of AI-powered essay checking systems on teaching practice, instructors worry about losing their professional authority and control over both the design and assessment of writing assignments. Another concern is the ethic of using an AI to support students’ writing development and instructors’ workload.
In addition, AI systems are currently weak at supporting the development of assessment criteria, rubric application to the assessment of essays, and task representation of a written assignment. They are also ineffective in assisting in the development of essay writing assignments. Despite possessing the ability to detect and manage spelling, punctuation, grammar, and usage issues, it remains a challenge where AI deals with mechanics and style in regards to each student’s unique documentation, citation, and referencing format they are asked to use as well as word-count constraints, and organization of text. AI may have problems grading on assigned readings, particularly when the AI systems are trained with specific content that students are asked to read, analyze, and then contextualize their references to while interpreting.
While AI-powered essay grading systems have addressed many of the weaknesses and limitations disclosed by the critics of traditional essay grading systems, many challenges and limitations continue to exist. A major challenge is the complexity of writing. Unlike mathematics, biochemistry, and programming that are procedural in nature, there is no procedural way to produce a great essay. Writing is a creative, subjective, cognitive, and linguistic activity. Its mastery is a long and complex process. Some claim the uniqueness of every essay can be a challenge to AI because of its inability to completely understand and analyze the content of an essay delivered in natural language across different disciplines. Another challenge is the inability to capture the key rhetorical moves in an essay. Some writing scholars argue that for an essay to be considered sound, it has to contain certain rhetorical moves: problematize, introduce, counter-claim, concede, refute, or support. AI is often strong in examining the key argument points but weak in recognizing the rhetorical moves.
Provide a course focusing on how to use AI tools, given that a majority of students are AI novices. Account for the different experience levels between students on writing ability. Focus on the use of AI for lower-order revisions and content feedback for higher-order revising. Encourage students to take advantage of a variety of AI benefits. Thoroughly elaborate the feedback and conversation with the students, particularly for the content feedback by AI for students who are underrepresented in AI feedback. Teach students how the tool works. Explicitly use the AI tool as a learning strategy, which is positively related to student performance in a lower-stakes English language testing, and better learning outcomes when the AI tool for grammar, style, and plagiarism was present.
Writing education adopts a unique form that includes the classroom, computer room, and online space. Effective integration of AI will benefit students and teachers in promoting the writing study. Education should evolve in a way that keeps pace with technology. Writing instructors should be vigilant about overlapping tasks between AI and their efforts. The former emphasize that AI tools perform well on lower-order revision and indicate that in the responses from the instructors, the importance of their pedagogical role in helping students to understand why content feedback in higher-order revising generated by teachers is critical because students are less likely to be influenced by any tool’s outputs and could not follow the instructor’s advice if they do not understand it.
In addition to providing some insights into the current scenario of AI-powered writing tools, the purpose of this review is to offer an assessment on the state of the art of the latest AI technologies for writing tools. The comprehensive study explores the operation of the employed AI technologies and the features provided to users and discusses the ongoing challenges and future directions of AI in the implementation of effective writing solutions for niche audiences. Finally, it presents how the next generation of AI writing tools need to be innovative, cooperative, and supportive of new strategies and perspectives to fill the gaps within the context of automated feedback and grading.
Artificial intelligence has introduced innovative approaches in online learning systems by aiding discussions and collaborations among students and simulating human cognition to support instructors in different aspects of the learning process. As an exemplification, current AI technologies have explored and made use of the intelligence in artificial neural networks and machine learning to develop reliable writing tools capable of enhancing writing skills, simulating human linguistic competence, and mimicking a tutor who can understand and appreciate learners’ documents. The current work reviews AI-powered creative and critical writing tools developed mainly in the early 21st century.
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