AI in Research Writing: Transforming Efficiency and Quality

International Journal Of Advance Research And Innovative Ideas In Education, 2023

AI tools are applications or software that specifically perform tasks that encompass a wide range of functions. Artificial intelligence plays a pivotal role in scholarly publication as it provides insights, helps in refining the article language, and grammar checking, and suggests improvement thus enhancing the efficiency, quality, and depth of the content of the research paper. The new educational paradigm has both benefits and drawbacks. The present study employs a cross-sectional online survey method. The study aims to analyze the role of AI tools among research scholars in the Vellore district. The study focuses on identifying the AI tools used by the researcher for effective writing. The study employs a self-designed questionnaire (Likert scale) with 40 items concerning variables like content creation, grammar and spelling, detection of plagiarism, paraphrasing and summarizing, citation generator, translation, assistance in outlining and structure, data visualization, editing and proofreading, sentiment analysis, collaborative writing, and its ethical considerations. The questionnaire was circulated to research scholars in Vellore District through Google Forms. The consent was obtained from the scholars on the initial page of the forms. The data collected were analyzed using Statistical Package for Social Sciences. The tests like descriptive statistics, frequency, reliability, validity, normality, ANOVA, and regression were performed to analyze the data. The proposed research questions of the study aim to find the different AI tools used in content generation and the effectiveness of these tools when employed in research paper writing. The respondents also use Grammarly Go for grammar checking, tone, and clarity. In the preliminary survey, most of them accepted that AI tools help scholars ease the writing process. After Zotero, they found it easier to change the referencing style to the journal requirement. Most of the researchers accepted that they would use AI tools in writing, and many have also confirmed that they do not completely rely on AI tools as they use them based on requirements like paraphrasing, grammar checking, and citation. Hence, they conclude that AI tools are an advantage for scholars in research writing.

International Journal Of Global Community, 2024

The pace of development in artificial intelligence (AI) is quickening, and it holds immense potential to transform different facets of our existence. The use of AIpowered writing assistants has become increasingly popular in recent years. However, there are ethical issues surrounding this technology in the academic environment and the lack of an ethical framework in some academic institutions to guide its use creates more ethical dilemmas for students, academicians and researchers. This study argues for the inevitable need for ethical consideration and a framework to ensure the proper use and application of AI such as GPT in academia to promote the integrity and authorship of academic work. The study systematically assesses the literature to explore ethical gaps in using artificial intelligence in academia and its implications for academic integrity. In addition, the study proposes the reconciliation of the two sides of research, the new presence of AI in academia and academic integrity. We advocate for the creation of ethical frameworks to counter the misuse of AI in academics, research and writing, and promote authorship integrity for both AI and human scholars and a healthy juxtaposition of the two seemingly irreconcilable entities. There is a need for collaborative efforts among stakeholders, including students, faculty, administrators, and policymakers, to combat ethical issues in using AI in academics effectively. Institutions to develop more comprehensive and sustainable strategies to combat ethical issues surrounding the use of AI in academics and promote a culture of academic integrity in higher education settings.

Saudi Journal of Language Studies, 2024

Purpose – This study investigates the potential effectiveness of ChatGPT in enhancing the academic writing skills of Saudi EFL undergraduate students. It also examines the challenges associated with its use and suggests effective ways to address them in the education sector. Design/methodology/approach – The study employed a sequential mixed-methods approach, which involved distributing questionnaires to gather data from students, followed by conducting semi-structured interviews with a purposeful selection of eight students and six teachers. Findings – The findings revealed that students were generally satisfied with the effectiveness of ChatGPT in enhancing their academic writing skills. However, they also pinpointed some challenges associated with using ChatGPT, including plagiarism, overreliance, inadequate documentation, threats to academic integrity, and inaccurate information. To alleviate these challenges, effective strategies include deploying detection tools, equipping students and educators with training sessions, and revisiting academic policies and assessment methods. It is recommended that ChatGPT be used responsibly as an assistant tool, in conjunction with students’ ideas and teachers’ feedback. This approach can significantly enhance students’ writing skills and facilitate completing their research projects and assignments. Practical implications – ChatGPT can be a valuable tool in the educational landscape, but it is essential to use it judiciously. Therefore, teachers’ effective integration of ChatGPT into their classrooms can significantly enhance students’ writing abilities and streamline their research process. Originality/value – This study contributes to recent AI-based research and provides practical insights on the responsible integration of ChatGPT into education while addressing potential challenges.

Journal of Nature and Science of Medicine, 2023

This article examines the advantages and disadvantages of Large Language Models (LLMs) and Artificial Intelligence (AI) in research and education and proposes the urgent need for an international statement to guide their responsible use. LLMs and AI demonstrate remarkable natural language processing, data analysis, and decision-making capabilities, offering potential benefits such as improved efficiency and transformative solutions. However, concerns regarding ethical considerations, bias, fake publications, and malicious use also arise. The objectives of this paper are to critically evaluate the utility of LLMs and AI in research and education, call for discussions between stakeholders, and discuss the need for an international statement. We identify advantages such as data processing, task automation, and personalized experiences, alongside disadvantages like bias reinforcement, interpretability challenges, inaccurate reporting, and plagiarism. Stakeholders from academia, industry, government, and civil society must engage in open discussions to address the ethical, legal, and societal implications. The proposed international statement should emphasize transparency, accountability, ongoing research, and risk mitigation. Monitoring, evaluation, user education, and awareness are essential components. By fostering discussions and establishing guidelines, we can ensure the responsible and ethical development and use of LLMs and AI, maximizing benefits while minimizing risks.

Management Research, 2024

Purpose – The purpose of this study is to analyze the relationship between academic writing and generative artificial intelligence (AI). Design/methodology/approach – This paper is characterized as exploratory and descriptive, with a qualitative approach. Two approaches were used: the first, a narrative review of the literature with a systematic search from which a data collection stage was carried out using asynchronous interviews by means of an online questionnaire. Findings – The results indicate that generative AI should be seen as a complementary tool for creative and critical academic writing. The data collected also highlighted issues related to academic dishonesty and the new type of plagiarism – plagiarism made possible by technologies – as well as issues of authorship and legitimacy of work carried out with AI and the loss of reflective and critical thinking and creativity. Research limitations/implications – The considerable increase in resources using AI in all dimensions of human life. Practical implications – The impact that the use of generative AIs can have on the creation of knowledge and the dissemination of scientific research. Social implications – The impact that the use of generative AIs can have on the creation of knowledge and on the dissemination of scientific research. Originality/value – The need for academia to anticipate the use of AI in academic writing and to incorporate its benefits into this process, especially considering researchers in training.

Biology of Sport

Natural language processing (NLP) has been studied in computing for decades. Recent technological advancements have led to the development of sophisticated artificial intelligence (AI) models, such as Chat Generative Pre-trained Transformer (ChatGPT). These models can perform a range of language tasks and generate human-like responses, which offers exciting prospects for academic efficiency. This manuscript aims at (i) exploring the potential benefits and threats of ChatGPT and other NLP technologies in academic writing and research publications; (ii) highlights the ethical considerations involved in using these tools, and (iii) consider the impact they may have on the authenticity and credibility of academic work. This study involved a literature review of relevant scholarly articles published in peer-reviewed journals indexed in Scopus as quartile 1. The search used keywords such as "ChatGPT," "AI-generated text," "academic writing," and "natural language processing." The analysis was carried out using a quasi-qualitative approach, which involved reading and critically evaluating the sources and identifying relevant data to support the research questions. The study found that ChatGPT and other NLP technologies have the potential to enhance academic writing and research efficiency. However, their use also raises concerns about the impact on the authenticity and credibility of academic work. The study highlights the need for comprehensive discussions on the potential use, threats, and limitations of these tools, emphasizing the importance of ethical and academic principles, with human intelligence and critical thinking at the forefront of the research process. This study highlights the need for comprehensive debates and ethical considerations involved in their use. The study also recommends that academics exercise caution when using these tools and ensure transparency in their use, emphasizing the importance of human intelligence and critical thinking in academic work.

International Journal of Research and Analytical Reviews (IJRAR) , 2023

Artificial intelligence is becoming increasingly important in educational pedagogy, particularly in academic writing. The rapid growth of computing technologies has made AIED (Artificial Intelligence in Education) applications more feasible to implement. AIED is the use of AI (artificial intelligence) technologies or application programmes to support instruction, learning, or decision-making in learning environments. By employing a qualitative methodology and a literature review as research design and methodology, the study effectively contributed to the achievement of its goal. The primary objectives of this study include improving efficiency and greater idea development in academic writing using AIED. To succeed in academic writing, scholars must develop AIED literacy, which includes application, reliability, accountability, and engagement. This research focuses on the challenges and future possibilities of communication-instructional perspectives on AIED, which ought to be widely implemented in academic writing and will result in substantial changes to education. As a result, the focus of this study is on recommendations for educators and academics to ensure the benefits of AI-assisted writing, as well as its possibilities and challenges. This study explores the various ways that artificial intelligence (AI) may be used in ESL classrooms to improve student experience and instructional efficiency, as well as to generate an idea for the application of AI to academic writing. By employing AIED in academic writing, the idea under consideration can divert time and energy used for teaching and learning. IndexTerms-Artificial intelligence, Academic writing, AI challenges and opportunities.

Science Editing, 2023

This study was conducted to understand the perceptions and awareness of artificial intelligence (AI) in the academic publishing landscape. Methods: We conducted a global survey entitled "Role and impact of AI on the future of academic publishing" to understand the impact of the AI wave in the scholarly publishing domain. This English-language survey was open to all researchers, authors, editors, publishers, and other stakeholders in the scholarly community. Conducted between August and October 2021, the survey received responses from around 212 universities across 54 countries. Results: Out of 365 respondents, about 93% belonged to the age groups of 18-34 and 35-54 years. While 50% of the respondents selected plagiarism detection as the most widely known AI-based application, image recognition (42%), data analytics (40%), and language enhancement (39%) were some other known applications of AI. The respondents also expressed the opinion that the academic publishing landscape will significantly benefit from AI. However, the major challenges restraining the large-scale adoption of AI, as expressed by 93% of the respondents, were limited knowledge and expertise, as well as difficulties in integrating AI-based solutions into existing IT infrastructure. Conclusion: The survey responses reflected the necessity of AI in research and publishing. This study suggests possible ways to support a smooth transition. This can be best achieved by educating and creating awareness to ease possible fears and hesitation, and to actualize the promising benefits of AI.

JCCPSL, 2023

arXiv (Cornell University), 2023

The use of artificial intelligence (AI) in research across all disciplines is becoming ubiquitous. However, this ubiquity is largely driven by hyperspecific AI models developed during scientific studies for accomplishing a well-defined, data-dense task. These AI models introduce apparent, human-recognizable biases because they are trained with finite, specific data sets and parameters. However, the efficacy of using large language models (LLMs)-and LLM-powered generative AI tools, such as ChatGPT-to assist the research process is currently indeterminate. These generative AI tools, trained on general and imperceptibly large datasets along with human feedback, present challenges in identifying and addressing biases. Furthermore, these models are susceptible to goal misgeneralization, hallucinations, and adversarial attacks such as red teaming prompts-which can be unintentionally performed by human researchers, resulting in harmful outputs. These outputs are reinforced in research-where an increasing number of individuals have begun to use generative AI to compose manuscripts. Efforts into AI interpretability lag behind development, and the implicit variations that occur when prompting and providing context to a chatbot introduce uncertainty and irreproducibility. We thereby find that incorporating generative AI in the process of writing research manuscripts introduces a new type of context-induced algorithmic bias and has unintended side effects that are largely detrimental to academia, knowledge production, and communicating research.