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It analyzes the need to balance AI-supported pedagogical benefits with the preservation of critical thinking, originality, and responsible authorship. Using a qualitative mixed design with student surveys (n=248) and faculty interviews (n=28), it identifies common AI use patterns, perceived integrity violations, and concerns about declining analytical skills. Results show accessibility and efficiency gains alongside reduced cognitive effort, accidental plagiarism, and gray morality.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/an-academic-text-the-balance-between-academic-integrity-and-artificial-intelligence-paper/588349/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/an-academic-text-the-balance-between-academic-integrity-and-artificial-intelligence-paper/588349.png","ImageObject",300,407,{"name":92,"@type":93},"Putri","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why does the paper focus on academic integrity in the context of AI?","Question",{"text":112,"@type":113},"It argues that students’ increasing use of AI technologies creates risks to ethical scholarly conduct and can undermine originality and responsible authorship in academic writing.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What research methods are used in the study?",{"text":117,"@type":113},"The study applies a qualitative mixed design including theoretical analysis, a student survey with n=248, and unstructured interviews of faculty with n=28.",{"name":119,"@type":110,"acceptedAnswer":120},"What does the paper conclude about overreliance on generative AI?",{"text":121,"@type":113},"It concludes that generative systems can reduce cognitive effort and contribute to issues such as accidental plagiarism and “gray morality,” even while improving accessibility and efficiency.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},588349,1792433548,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},962085571259,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","An Academic Text: The Balance Between Academic Integrity and Artificial Intelligence  \nLiliіa Ruskulis  \nAdmiral Makarov National University of Shipbuilding  \nRymma Maiboroda  \nMilitary Institute of Taras Shevchenko National University of Kyiv  \nOlena Popova  \nKyiv National Linguistic University  \nInna Rodionova  \nAdmiral Makarov National University of Shipbuilding  \nOlesia Olecsuk  \nAdmiral Makarov National University of Shipbuilding  \nNataliia Ababilova  \nPetro Mohyla Black Sea National University  \nAbstract  \nThis paper focuses on the connection between academic writing, academic integrity, and the fact that the application of artificial intelligence (AI) technologies in higher education is rapidly expanding, paying attention to the fundamental issue of the increasing reliance of students on AI-based technologies and the associated threat to the ethical conduct of scholarly activities. It is supported by the need to balance the pedagogical opportunities of AI with the preservation of critical thinking, originality, and responsible authorship in academic writing. In a qualitative study with a mixed design consisting of theoretical analysis, survey of students (n=248) and unstructured interviews of faculty (n=28), the authors establish the common patterns of AI use, perceptions ofthe students about integrity violation and the concerns of the teaching professionals about the disappearance of analytical and critical skills. The results indicate that, although AI makes academic work more accessible, personalized, and efficient, overreliance on generative  \nsystems leads to reduced cognitive effort, accidental plagiarism, and gray morality.  \nThe paper suggests a systematic, ethically aware approach to the integration of AI into higher education, with a focus on cultivating academic literacy, clearly defined institutional policies, and the pedagogic integration of AI use while preserving academic integrity standards.  \nIntroduction  \nThe search for innovative ways to involve students in scientific activities requires reevaluating the content of higher education. Students should actively participate in the learning process, fostering a desire and potential to conduct scientific research, attend various academic meetings and conferences in Ukraine and abroad, and present their scientific achievements in professional journals. These modern requirements for specialist training are outlined in the Laws of Ukraine On Education, On Higher Education, the State National Programme Education (“Ukraine of the XXI Century”), the State Programme Teacher, and the Common European Framework of Reference for Languages.  \nThe development of Ukraine’s higher education system, which has undergone significant changes during the Russian-Ukrainian war and is steadily integrating into the European educational space, demands high proficiency in academic writing among students. Academic writing is a key competency for any specialist in the modern world. The term “academic writing”originated in English-speaking countries in the late 20th century and was later introduced in Ukraine. At its core, academic writing revolves around the scientific text, which disseminates scientific knowledge and contributes to societal progress through the principles of academic integrity.  \nHowever, students’ increasing use of artificial intelligence (AI) tools has raised concerns about academic integrity. Many resort to unethical practices that violate established academic standards. A thorough study of the challenges and opportunities associated with AI in education is essential for understanding its impact on academic integrity.  \nThe article examines the impact of artificial intelligence on academic integrity in scientific writing.  \nLiterature Review  \nThe issue of maintaining academic integrity while using artificial intelligence technologies is a pressing concern in modern education and research. Notably, Levene (2023) provides a comprehensive analysis of authorship attr","cbCailqxCNja0iqL","https://ap.wps.com/l/cbCailqxCNja0iqL","pdf",234345,15,"English","# Abstract\n# Introduction\n# Literature Review","[{\"question\":\"Why does the paper focus on academic integrity in the context of AI?\",\"answer\":\"It argues that students’ increasing use of AI technologies creates risks to ethical scholarly conduct and can undermine originality and responsible authorship in academic writing.\"},{\"question\":\"What research methods are used in the study?\",\"answer\":\"The study applies a qualitative mixed design including theoretical analysis, a student survey with n=248, and unstructured interviews of faculty with n=28.\"},{\"question\":\"What does the paper conclude about overreliance on generative AI?\",\"answer\":\"It concludes that generative systems can reduce cognitive effort and contribute to issues such as accidental plagiarism and “gray morality,” even while improving accessibility and efficiency.\"}]","An Academic Text - The Balance Between Academic Integrity and Artificial Intelligence - paper | PDF",1792065063,38]