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Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Dependence on AI generated tools.

Статті в журналах з теми "Dependence on AI generated tools"

Автор: Grafiati

Опубліковано: 7 червня 2025

Оновлено: 2 серпня 2025

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1

Arrébola Concejero, Daniel, and Ludovico Longhi. "Reflexiones críticas en el aula: análisis cualitativo de la percepción estudiantil sobre opiniones generadas por IA." Revista de la Asociación Española de Investigación de la Comunicación, Especial-12 (July 31, 2025): raeic12e01. https://doi.org/10.24137/raeic.12.e.1.

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The integration of Artificial Intelligence (AI) in educational settings presents both significant opportunities and challenges, particularly concerning critical thinking and student perception. This qualitative study explores the opinions of Audiovisual Communication students on AI-generated content following an educational lecture on AI-generated content (primarily using tools like ChatGPT) following an educational lecture . Through thematic analysis (assisted with Atlas.ti) of human and AI-generated responses, key concerns emerged regarding technological dependence, authorship and authentici

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2

Rosmayanti, Vivit. "Students Attitudes Toward the Use of Artificial Intelligence Tools in English Language Learning." Linguistics and ELT Journal 12, no. 2 (2025): 285. https://doi.org/10.31764/leltj.v12i2.28840.

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This research intends to assess the point of view of English Education students of Universitas Negeri Makassar regarding the application of Artificial intelligence (AI) resources in the skin of language learning. In this context, the research may engage AI tools Grammarly, ChatGPT, and others and analyze both the benefits and the challenges associated with these applications. The study adopted a convergent parallel design and collected qualitative and quantitative data from 100 respondents through surveys and interviews. The findings revealed that using AI tools increases learning efficiency (

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3

Guo, Hui, and Syaza Hazwani Zaini. "Artificial Intelligence in Academic Writing: A Literature Review." Asian Pendidikan, no. 4 (November 25, 2024): 46–55. https://doi.org/10.53797/aspen.v4i2.6.2024.

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Artificial intelligence (AI) has emerged as a transformative technology in education. This review focused on the intersection of AI tools and academic writing, addressing challenges such as plagiarism, language barriers, and feedback processes. The problem statement revolved around the increasing integration of AI in academic contexts, which offered opportunities for improved student learning but raised concerns over ethical issues such as plagiarism and over-dependence on AI-generated content. The purpose of this review was to critically review highly cited studies on the use of AI in academi

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4

Candilas, Kurt, Myzzie Chyle N. Japson, Vinz Danielle Bartolata, Danielle Joy R. Amores, Samantha Ritz Abas, and Princess Anghela M. Getuaban. "AI-Powered Writing Tools: A Phenomenological Inquiry of Tertiary Students’ Usage." AsiaCALL Online Journal 15, no. 2 (2024): 29–41. http://dx.doi.org/10.54855/acoj.241523.

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AI-powered writing tools have become indispensable companions for enhancing writing. This study aimed to comprehensively explore the lived experiences and contexts of the students' use of AI tools and their effects on their writing abilities and learning experiences. The study employed the transcendental phenomenological research design with six participants. Using Irving Seidman's guide, a purposeful sampling technique was utilized to select the participants before conducting the phenological Interview. Creswell's adapted Stevick-Colaizzi-Keen method was used to generate emerging themes of th

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5

Oyun-Erdene, E., and D. Bulgantamir. "STUDENTS' RELIANCE ON AI TOOLS IN EFL COURSES IN HIGHER EDUCATION: CHALLENGES AND OPPORTUNITIES." Scientific heritage, no. 160 (May 8, 2025): 40–49. https://doi.org/10.5281/zenodo.15362544.

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In recent years, use of Artificial Intelligence (AI) is becoming increasingly popular among university students who are learning English Language. Furthermore, it addresses concerns regarding the potential for students to become overly dependent on AI applications in their language learning. It is important to ensure that technology serves as a tool to enhance learning, rather than a substitute for fundamental skills. While AI is increasingly taking on various roles in education, there has been limited research work examining students' attitudes, perceptions towards its use, especially in the

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6

Prof. Rokade Namrata G. and Prof. Gore Tejal R. ""The Influence of Artificial Intelligence in Mathematics: Progress, Applications, and Future Opportunities"." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 3 (2025): 387–91. https://doi.org/10.51583/ijltemas.2025.140300042.

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Artificial Intelligence (AI) is transforming mathematics by automating theorem proving, enhancing computational efficiency, and uncovering new patterns in mathematical structures. AI-powered tools, such as machine learning algorithms and symbolic computation systems, assist researchers in solving complex problems, verifying proofs, and generating novel conjectures. These advancements accelerate mathematical discovery and reduce human error in research. Beyond research, AI improves mathematical education by enabling personalized tutoring and adaptive learning. It also plays a crucial role in ap

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7

Naseer, Aliza, Naveed Rafaqat Ahmad, and Muhammad Amjad Chishti. "Psychological Impacts of AI Dependence: Assessing the Cognitive and Emotional Costs of Intelligent Systems in Daily Life." Review of Applied Management and Social Sciences 8, no. 1 (2025): 291–307. https://doi.org/10.47067/ramss.v8i1.458.

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The study explores the cognitive and emotional consequences of dependence on Artificial Intelligence among health professionals and educators in Punjab, Pakistan. As AI is increasingly being infused into professional practice, it becomes important to study the psychological impacts of such dependence to optimize the use of the technology. This study used a quantitative research approach with a sample of 500 health professionals and educators selected by simple random sampling. Data was collected from self-reporting questionnaires specifically designed to measure the cognitive and emotional con

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8

Alaqlobi, Obied, Ahmed Alduais, Fawaz Qasem, and Muhammad Alasmari. "A SWOT analysis of generative AI in applied linguistics: Leveraging strengths, addressing weaknesses, seizing opportunities, and mitigating threats." F1000Research 13 (September 10, 2024): 1040. http://dx.doi.org/10.12688/f1000research.155378.1.

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Background The integration of generative Artificial Intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, into the field of applied linguistics presents transformative opportunities alongside notable challenges. This study aims to evaluate the role of AI in applied linguistics through a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. Methods Using a sample derived from Scopus and Web of Science, we identified relevant studies by applying specific search terms. Our qualitative research design used the SWOT framework to systematically review and ana

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Alaqlobi, Obied, Ahmed Alduais, Fawaz Qasem, and Muhammad Alasmari. "A SWOT analysis of generative AI in applied linguistics: Leveraging strengths, addressing weaknesses, seizing opportunities, and mitigating threats." F1000Research 13 (February 17, 2025): 1040. https://doi.org/10.12688/f1000research.155378.2.

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Background The integration of generative Artificial Intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, into the field of applied linguistics presents transformative opportunities alongside notable challenges. This study aims to evaluate the role of AI in applied linguistics through a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. Methods Using a sample derived from Scopus and Web of Science, we identified relevant studies by applying specific search terms. Our qualitative research design used the SWOT framework to systematically review and ana

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10

Quratulain, Dr. Saira Maqbool, and Sara Bilal. "The Effectiveness of AI-Powered Writing Assistants in Enhancing Essay Writing Skills at Undergraduate Level." Journal for Social Science Archives 3, no. 1 (2025): 845–55. https://doi.org/10.59075/jssa.v3i1.166.

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Artificial Intelligence (AI) has its transformative function in education by providing AI writing assistants like ChatGPT and Grammarly. AI tools have emerged as a prominent resource for improving writing performance at the advanced levels of education, hence, this study seeks to explore the potential of these tools to improve the essay writing of undergraduate Pakistani students. Using a mixed-methods approach, the research investigates changes in grammar, coherence, vocabulary, and overall academic writing for students over the eight-week period. The population of the study is BS students of

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Bing, Zhang Jing, and Wai Yie Leong. "AI on Academic Integrity and Plagiarism Detection." ASM Science Journal 20, no. 1 (2025): 1–9. https://doi.org/10.32802/asmscj.2025.1918.

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Artificial Intelligence (AI) has introduced transformative advancements in academic integrity and plagiarism detection within educational institutions. This study explores how AI-driven tools are reshaping the landscape of academic honesty by enabling efficient and precise detection of plagiarised content, particularly in the face of sophisticated paraphrasing and AI-generated text. We analyse the effectiveness of traditional and AI-powered plagiarism detection tools, comparing their capabilities in recognising rephrased, translated, and synthetically generated content. Through a mixed-method

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12

Saminan, Nurul Fajri, Muhammad Khairul, Saminan Saminan, and Mahyana Mahyana. "The Role of AI in Promoting Learning Independence and Scientific Explanation Ability among Physics Education Students." Proceedings of International Conference on Education 3, no. 1 (2025): 123–27. https://doi.org/10.32672/pice.v3i1.3464.

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Integrating Artificial Intelligence (AI) in higher education has transformed learning processes, particularly in complex subjects like physics. This study investigated the implications of AI utilization, specifically generative tools such as ChatGPT on two key aspects of physics education: students’ learning autonomy and scientific explanation skills. A descriptive quantitative approach was employed, surveying 50 pre-service physics teachers from universities in Aceh, Indonesia, using a structured questionnaire. The findings revealed that while AI tools support students in understanding concep

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13

Ignas, Adriane Love. "Exploring the Experiences of Tertiary students in using Artificial Intelligence (AI)." Social Science and Humanities Journal 9, no. 05 (2025): 7997–8008. https://doi.org/10.18535/sshj.v9i05.1833.

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This study explores the experiences of tertiary students in Benguet in using Artificial Intelligence (AI). Employing a mixed-method research design, the study gathered quantitative data through electronic surveys from 66 tertiary students and qualitative data via semi-structured interviews with 12 students from three Higher Education Institutions in Benguet. The research analyzed the types of AI tools used, how students utilize them, the challenges encountered, and their adaptive strategies. The findings reveal that students commonly use generative AI tools such as ChatGPT, Cici, and Grammarly

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Döring, Nicola, Thuy Dung Le, Laura M. Vowels, Matthew J. Vowels, and Tiffany L. Marcantonio. "The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024." Current Sexual Health Reports 17, no. 1 (2024): 1–39. https://doi.org/10.1007/s11930-024-00397-y.

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Abstract Purpose of Review Millions of people now use generative artificial intelligence (GenAI) tools in their daily lives for a variety of purposes, including sexual ones. This narrative literature review provides the first scoping overview of current research on generative AI use in the context of sexual health and behaviors. Recent Findings The review includes 88 peer-reviewed English language publications from 2020 to 2024 that report on 106 studies and address four main areas of AI use in sexual health and behaviors among the general population: (1) People use AI tools such as ChatGPT to

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15

Dutta, Surjadeep, Paul Arun Kumar James, Prabhavathy Raja Ebenezer, and Sarthak Sengupta. "Determinants of Customer Experience in Artificial Intelligence-based Social Media Content Creation Tools: An Empirical Study." Journal of Business Strategy Finance and Management 07, no. 01 (2025): 31–43. https://doi.org/10.12944/jbsfm.07.01.04.

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The practice of digital marketing is being transformed as Artificial Intelligence (AI) grows increasingly dependent on itself for the creation of content on social media. This empirical study investigates the factors that affect customer experience while using AI-based tools for writing content in social media platforms.This specific study is based on purposive sampling methodology. Out of 310 responses obtained, 287 were utilised for the data analysis (removing incomplete responses, detecting and excluding outliers, and conducting reliability checks). The target population considered for this

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16

Wang, Xiaoxiao, Rainal Hidayat Bin Wardi, and Rusmawati Binti Ghazali. "The Impact of AI-Generated Art on the Creative Process of Painting Artists: A Conceptual Paper." Malaysian Journal of Social Sciences and Humanities (MJSSH) 10, no. 2 (2025): e003110. https://doi.org/10.47405/mjssh.v10i2.3110.

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This conceptual paper explores how AI-generated art tools impact the creative processes of painters in Beijing, Shanghai, and Shenzhen, China. By constructing a conceptual framework, the study analyzes the effects of AI tool dependency and technology acceptance on creative inspiration, efficiency, innovation, and satisfaction, with self-efficacy considered a moderating factor. Based on existing literature, it can be inferred that current research lacks empirical studies on different types of painters who use AI-generated art, including in China. This study provides a new perspective for unders

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17

Belhassen, Saleh, and Achwak Hamda. "Translation Students’ Reliance on and Trust in Artificial Intelligence for Successful Translation Projects: Opportunities, Challenges, and Implications." Arab World English Journal For Translation and Literary Studies 9, no. 2 (2025): 106–19. https://doi.org/10.24093/awejtls/vol9no2.7.

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Translation plays a key role in successful translation projects, supporting students using artificial intelligence. Trust is a catalyst in building reliance on AI among students doing their translation projects, signifying the importance of AI in translation work. This study attempts to explore the opportunities, challenges, and implications of integrating AI into translation work, focusing on how translation students rely on and trust artificial intelligence (AI) tools. By analyzing data from 150 translation students using SPSS, the study examines their demographic profiles, usage habits, dep

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18

V, Prerana. "The AI Evolution in Animation: Balancing Technology and Artistic Integrity." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem36792.

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This paper, titled "Navigating the Frontier: Benefits and Limitations of AI in Animation," explains the transformative role of artificial intelligence (AI) within the animation industry and also shows how it began. Beginning with a synoptic overview of the evolution of animation technology, the paper unfolds the journey from early hand-drawn animations to contemporary techniques such as computer-generated imagery (CGI) and motion capture and many more. The discussion then shifts to the advantages of AI in animation. Key benefits include enhanced efficiency through automation, increased realism

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19

Baria1, Harsh Girish. "Influence of Generative AI on Problem Solving Skills among Students." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42014.

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The rapid advancement of generative artificial intelligence (AI) has transformed academic learning, providing students with instant access to problem-solving tools. This study examines the impact of generative AI on students’ problem-solving abilities, critical thinking, decision-making, and academic performance across various disciplines. A structured, closed-ended questionnaire was used to collect data from 250 students through Google Forms. The findings indicate that a majority of students perceive AI as beneficial in improving efficiency, aligning with course curricula, and enhancing their

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20

Romadhon, Romadhon. "AI IN LANGUAGE LEARNING: ENGLISH FOR SPECIFIC PURPOSES STUDENTS' PERSPECTIVES ON USING CHATGPT FOR BUSINESS EMAILS." Lingua 20, no. 2 (2024): 173–88. https://doi.org/10.34005/lingua.v20i2.4151.

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The integration of Artificial Intelligence (AI) in educational contexts has garnered increasing interest, particularly regarding its potential to enhance language learning. This study examines the perceptions of students learning English for Specific Purposes (ESP) towards the use of ChatGPT, an advanced conversational AI, for writing business emails. This investigation forms part of a broader experimental research project that explores the impact of ai tools on their motivation and writing performance. These students, who are specializing in various fields requiring specific English language

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Pham, Van Tien, and Dinh Quang Phan. "THE USE OF AI IN LEARNING: A STUDY AT THAI NGUYEN UNIVERSITY OF EDUCATION." GPH-International Journal of Educational Research 8, no. 02 (2025): 25–36. https://doi.org/10.5281/zenodo.14863191.

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This study investigates the use and attitudes of students towards artificial intelligence (AI) in learning at Thai Nguyen University of Education, with a focus on how AI supports academic activities and the concerns it generates. The findings demonstrate that AI substantially enhances students' access to information, improves their skills, and boosts learning outcomes; however, concerns about over-dependence on technology remain prevalent. Furthermore, the study reveals distinct patterns in AI usage between students in the natural sciences and social sciences, with each group using AI tools fo

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Коломієць, Алла, та Олександр Кушнір. "ВИКОРИСТАННЯ ШТУЧНОГО ІНТЕЛЕКТУ В ОСВІТНІЙ ТА НАУКОВІЙДІЯЛЬНОСТІ: МОЖЛИВОСТІ ТА ВИКЛИКИ". Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems, № 70 (10 січня 2024): 45–57. http://dx.doi.org/10.31652/2412-1142-2023-70-45-57.

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This article analyzes the possibilities and threats of utilizing artificial intelligence (AI) in thetraining of future educators. It presents an examination of AI's impact on the educational process andemphasizes the importance of striking a balance between the advantages and potential drawbacks of thisinnovative technology.The use of AI in preparing future educators is scrutinized from various perspectives, including individuallearning, the development of personalized educational programs, and the integration of virtualpedagogical simulators as tools to help aspiring teachers gain practical e

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23

Malon, Jake C., Jay-an Virtudazo, Wenjan Vallente, Lourdes Ayop, and Ma Faith O. Malon. "Expressing Ideas: AI-Integrated Paraphrasing to Students’ Writing Skills." International Journal of Educational Methodology me-10-2024, me-10-issue-4-november-2024 (2024): 531–42. http://dx.doi.org/10.12973/ijem.10.4.531.

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<p style="text-align:justify">The main thrust of the study was to explore the third-year English student’s sentiments on the application of the artificial intelligence (AI)-integrated paraphrasing tools. Specifically, it aimed to investigate the benefits and drawbacks brought by AI paraphrasing tools towards the writing skills of the students. The investigation utilized a semi-structured interviews with an open-ended questionnaire using an audio-video recorder. The data gathered were interpreted using the Thematic Analysis of Braun and Clarke. The study was carried out at one of the camp

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Gupta, Nupur, Amit Shrivastava, Gaurav Mathur, and J. K. Sachdeva. "Impact of ChatGPT on the Quantitative Acumen of Postgraduate Business Management Students in Central India." Revista Gestão & Tecnologia 25, no. 2 (2025): 179–206. https://doi.org/10.20397/2177-6652/2025.v25i2.3153.

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Incorporating Artificial Intelligence (AI) advancements within the educational framework has significantly altered the methodologies and dynamics of learning experiences. ChatGPT, an AI platform centred on language processing, provides rapid responses and materials for learners addressing qualitative and quantitative academic challenges. This study explores a significant inquiry: "What is the effect of ChatGPT augmentation on the quantitative number crunching and data analysing abilities of students of Post Graduate Diploma in Management Studies at an AACSB alliance member business school in c

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Yusra, Siti Rahimah, and Rizaldy Hanifa. "Unveiling Indonesian Higher Education Students’ English Academic Writing Misconduct in The Era of Technology & AI: Comprehension vs Practice." World Journal of English Language 15, no. 5 (2025): 220. https://doi.org/10.5430/wjel.v15n5p220.

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The widespread use of internet-based media and AI-powered tools for learning has provided students with convenient access to information and writing assistance. However, rather than improving their English academic writing skills, such reliance may lead to academic misconduct, including plagiarism and unethical use of AI-generated content. Such concerns motivate the researchers to gain insights from 50 second-semester students in Indonesia enrolled in two English essay writing courses regarding academic integrity and violations. Employing a qualitative descriptive approach, data were collected

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Matueny, Dr Ramzy Muorwel, and Dr Joseph Juma Nyamai. "Illusion of Competence and Skill Degradation in Artificial Intelligence Dependency among Users." International Journal of Research and Scientific Innovation XII, no. V (2025): 1725–38. https://doi.org/10.51244/ijrsi.2025.120500163.

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This conceptual review paper explores the emerging phenomenon of skill degradation in the context of increasing reliance on artificial intelligence (AI) within higher education and professional environments. As AI tools become integral to learning, writing, assessment, and decision-making processes, many users particularly students and instructors experience what has been termed the illusion of competence, a misleading perception of mastery created by AI-generated outputs that mask underlying cognitive deficits. Drawing on Cognitive Load Theory and Technological Dependency Theory, this paper e

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Shahriar, Arafat. "Exploring efl students’ perspectives on the use of ai chatbots in language education." Journal of Language and Linguistics in Society, no. 52 (July 1, 2025): 1–11. https://doi.org/10.55529/jlls.52.1.11.

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AI-based chatbots have become integrated tools in our personal, professional, and academic lives. Within this context, this study examines how Bangladeshi EFL students perceive and experience the use of chatbots such as ChatGPT, DeepSeek, Co-pilot, Gemini, Google Bard, etc., in English language teaching and learning. A total of 120 students from the Department of English at a private university in Bangladesh participated in this research. Using a quantitative research design, data were collected through a structured survey questionnaire containing 25 items, divided in three categories. The que

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Wu, Tingying. "AI Love: An Analysis of Virtual Intimacy in Human-Computer Interaction." Communications in Humanities Research 50, no. 1 (2024): 143–48. http://dx.doi.org/10.54254/2753-7064/50/20242466.

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Abstract: In the digital age, intimate relationships are gradually becoming scarce, while rapid technological advances are deepening humanity's reliance on virtual relationships. This paper examines the emerging phenomenon of virtual intimacy in human-AI interactions by analyzing recent studies on intimate relationships, virtual intimacy, and human-machine interaction-based virtual intimacy. First, as artificial intelligence technology advances, particularly with the development of affective computing and generative AI, emotional interactions between humans and AI have become more frequent, wi

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Brazhnikov, V., Ye Hashutina, V. Bredikhin, and D. Bredikhin. "IMPACT OF NEURAL NETWORKS ON WEBSITE DEVELOPMENT AND PROSPECTS FOR REPLACING FRONT-END DEVELOPERS." Municipal economy of cities 4, no. 185 (2024): 20–24. http://dx.doi.org/10.33042/2522-1809-2024-4-185-20-24.

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In the dynamic field of web development, neural networks have become pivotal, offering revolutionary approaches to website creation. As technology advances, these networks transition from being mere tools to catalysts for innovation, addressing the growing need for personalization, optimization, and functionality in web resources. However, with the increasing capabilities of neural networks, questions arise about their potential to replace traditional web developers. This article examines the role of neural networks in modern web development, analysing the prospects and challenges of their pot

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Azoulay, Rina, Tirza Hirst, and Shulamit Reches. "Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions." Applied Sciences 15, no. 4 (2025): 1793. https://doi.org/10.3390/app15041793.

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The integration of large language models (LLMs) into educational settings represents a significant technological breakthrough, offering substantial opportunities alongside profound ethical challenges. Higher education institutions face the widespread use of these tools by students, requiring them to navigate complex decisions regarding their adoption. This includes determining whether to allow the use of LLMs, defining their appropriate scope, and establishing guidelines for their responsible and ethical application. In the context of computer science education, these challenges are particular

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Xhaferi, Andi. "The Integration of ChatGPT in Academic writing: Exploring perceptions and effectiveness of the students." International Journal of Multilingual Education 25, no. 2 (2024): 74–86. https://doi.org/10.22333/ijme.2024.8997.

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This paper explores the integration of ChatGPT as a technological aid in the academic practices of BA and MA pharmacy students at the University of Tetovo (North Macedonia). The research also examines the perceived benefits, such as enhanced efficiency, improved linguistic accuracy, and access to diverse perspectives, alongside challenges like potential over-reliance, accuracy of content, and academic integrity concerns. By adopting a quantitative approach, a student survey, the study seeks to understand students' attitudes toward this AI tool, delving into their perspectives on its utility, a

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Chatto, Meliza, and Ferlyn Logronio. "Navigating AI in Academia: Undergraduate Experiences with ChatGPT and the Redefinition of Academic Writing." Journal of Education and Learning Reviews 2, no. 4 (2025): 27–42. https://doi.org/10.60027/jelr.2025.2061.

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Background and Aim: The integration of generative AI tools like ChatGPT into academic writing has generated both enthusiasm and ethical concern in higher education. While ChatGPT supports idea development, content organization, and revision, its use also raises issues related to plagiarism, authorship, and cognitive overreliance. Although prior research has examined the technical features and ethical risks of generative AI, few studies have explored students’ lived experiences. This study investigates how undergraduate students navigate the benefits and challenges of using ChatGPT in academic

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Osadchyi, Viacheslav, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, and Vladyslav Kruglyk. "THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS." Alfred Nobel University Journal of Pedagogy and Psychology 1, no. 29 (2025): 167–78. https://doi.org/10.32342/3041-2196-2025-1-29-15.

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The relevance of this study stems from the rapid development of artificial intelligence (AI), particularly large language models and generative technologies, which are profoundly transforming professional activity. These changes significantly influence the formation of predictive competence – a crucial human capacity for reasoned forecasting and decision-making under uncertainty. Empirical data confirm the high accuracy of AI-generated forecasts, sometimes surpassing that of humans, and indicate improved professional productivity when AI is used effectively. At the same time, diverse adaptatio

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Fontes, Miguel Filipe, Alexandre Henrique Neto, João Dallyson Almeida, and António Trigueiros Cunha. "A Controlled Variation Approach for Example-Based Explainable AI in Colorectal Polyp Classification." Applied Sciences 15, no. 15 (2025): 8467. https://doi.org/10.3390/app15158467.

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Medical imaging is vital for diagnosing and treating colorectal cancer (CRC), a leading cause of mortality. Classifying colorectal polyps and CRC precursors remains challenging due to operator variability and expertise dependence. Deep learning (DL) models show promise in polyp classification but face adoption barriers due to their ‘black box’ nature, limiting interpretability. This study presents an example-based explainable artificial intehlligence (XAI) approach using Pix2Pix to generate synthetic polyp images with controlled size variations and LIME to explain classifier predictions visual

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Jawalkar, Santosh Kumar. "Intelligent Edge Testing: Ensuring Performance and Reliability in AR/VR Devices with Edge AI." International Scientific Journal of Engineering and Management 03, no. 11 (2024): 1–7. https://doi.org/10.55041/isjem02158.

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AR and VR devices become more effective with Edge AI integration resulting in transformative experiences. This technology provides quick data processing combined with enhanced user interaction along with independent operations without needing cloud platforms. AR/VR platforms deliver unsustainable user experience since cloud-based systems produce slow processing times and network dependence delays the user experience. Fast response times are attainable through the direct processing of AI workloads by implementing Edge AI technology onto edge devices. Better first-person shooter performance toge

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Miller, Daniel S., Oliver Vipond, Alfie Brennan, and Anna Hercot. "Abstract 5813: AI-driven identification and validation of novel synthetic lethal gene pairs through deep mining of cancer dependency data." Cancer Research 84, no. 6_Supplement (2024): 5813. http://dx.doi.org/10.1158/1538-7445.am2024-5813.

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Abstract The targeting of synthetic lethal (SL) gene pairs is emerging as a new paradigm in precision oncology, with the potential to deliver treatments with higher efficacy and fewer side-effects. However, existing approaches have focused on a few well-validated pairs, and there is a clear need to expand the toolbox of potential SL targets. We have performed deep mining of cancer dependency data using a suite of machine learning tools and AI algorithms underpinned by robust statistical analysis to identify the next generation of SL gene pairs. To ensure robust, high confidence validation of m

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Saif, Farah. "The Role of Artificial Intelligence in Geotechnical Engineering: Applications, Optimization Strategies, Modeling Approaches, and Future Prospects." Environmental Sciences and Ecology: Current Research (ESECR 6, no. 2 (2025): 1–8. https://doi.org/10.54026/esecr/10113.

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The principal objective of this study is to examine the utilization of Artificial Intelligence (AI) in geotechnical engineering, emphasizing modeling methodologies and prospective forecasts. Geotechnical engineering, which deals with the utilization of soils and rocks in building, often faces complicated behaviors and a high degree of uncertainty in material modeling. Over the past few decades, the integration of AI techniques has gained momentum, giving solutions to forecast sophisticated nonlinear interactions within the field. These AI technologies have emerged as powerful tools in addressi

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Kong, Xiangchen. "Deep Learning in Music Generation: A Comprehensive Investigation of Models, Challenges and Future Directions." ITM Web of Conferences 70 (2025): 04027. https://doi.org/10.1051/itmconf/20257004027.

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Deep learning has made a lot of progress in the field of music generation. It now has powerful tools for both preserving traditional music and creating new, innovative compositions. This review explores various and recent deep learning models, such as Long Short-Term Memory (LSTM) networks, Transformer-based models, Reinforcement Learning (RL), and Diffusion-based architectures, and how they are applied to music generation. LSTMs effectively capture temporal dependencies, which are vital for producing coherent melodies and chord progressions. Transformer models, like MUSICGEN and STEMGEN, hand

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Singh, Anubhav, and Anup Barai. "Direction-Dependence in Li-Ion Battery Diagnostic Methods." ECS Meeting Abstracts MA2024-02, no. 4 (2024): 467. https://doi.org/10.1149/ma2024-024467mtgabs.

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Lithium-Ion Batteries (LIBs) have been at the epicentre of the global push to electrify transport. Having already become mainstream in the automotive industry, vehicles powered by LIBs are gaining traction in other transport sectors such as aerospace and freight trucks. These sectors have more stringent requirements for performance as well as safety. Therefore, academia as well as industry are aggressively exploring battery diagnostic methods that can be implemented on-board [1]. A common feature shared among several well-developed tools for battery diagnostics is their reliance on an electroc

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Edmond Osei Arhin. "Reinstating traditional sit-in exams to curb overreliance on artificial intelligence." World Journal of Advanced Science and Technology 7, no. 2 (2025): 011–24. https://doi.org/10.53346/wjast.2025.7.2.0015.

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The growing use of Artificial Intelligence (AI) technologies in educational settings has prompted apprehensions over the decline of critical thinking, academic integrity, and authentic student involvement. Although AI provides assistance in research and writing, unthinking and excessive dependency on these technologies has resulted in shallow learning and a decline in intellectual autonomy. This paper examines the significance of reinstalling conventional sit-in exams as a remedy for the excessive reliance on AI in higher education, fostering genuine evaluation and academic integrity. A system

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Purnaye, Prasad, and Vrushali Kulkarni. "BiSHM: Evidence detection and preservation model for cloud forensics." Open Computer Science 12, no. 1 (2022): 154–70. http://dx.doi.org/10.1515/comp-2022-0241.

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Abstract The cloud market is growing every day. So are cloud crimes. To investigate crimes that happen in a cloud environment, an investigation is carried out adhering to the court of law. Forensics investigations require evidence from the cloud. Evidence acquisition in the cloud requires formidable efforts because of physical inaccessibility and the lack of cloud forensics tools. Time is very crucial in any forensic investigation. If the evidence is preserved before the cloud forensic investigation, it can give the investigators a head start. To identify and preserve such potential evidence i

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Zlatova, Iryna. "Efficiency of artificial intelligence-based marketing in SMM." Marketing and Digital Technologies 8, no. 4 (2024): 58–67. https://doi.org/10.15276/mdt.8.4.2024.5.

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The aim of the article. If the study shows that interaction with generated product photos is better or at least as good as with real photos, we will consider artificial intelligence to be effective in saving costs for product photos, props, studio rent, and model photos. Analysis results. This article analyses the effectiveness of artificial intelligence in modern marketing, namely in the interaction between a company and its audience on social media. We draw on previous literature to trace the development of artificial intelligence and how it has been used in marketing and SMM. The primary da

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Kirichuk, Daria Anatolyevna. "Digital Transformation of Media Space: New Challenges and Opportunities for Political Communication in the Age of Social Media." Мировая политика, no. 1 (January 2025): 48–55. https://doi.org/10.25136/2409-8671.2025.1.73805.

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The article examines in detail the changing role of the media in the context of digital transformation and highlights the growing influence of social media as a central element of political communication. The rapid development of digital technologies has significantly changed the media landscape, blurring the boundaries between traditional media and new forms of mass communication. This shift has created new opportunities for democratizing communication and increasing citizen participation in political and public life. Due to the fact that today social networks have become the main tool for th

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Iqbal, Zafar, Md Mahfuzur Rahman, Usman Mahmood, et al. "Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal." Brain Sciences 15, no. 1 (2025): 60. https://doi.org/10.3390/brainsci15010060.

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Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. While deep learning models offer superior performance through their non-linear capabilities, they often lack transparency, reducing trust in their predictions. This study introduces the Time Reversal (TR) pretraining method to address these challenges. TR aims to learn temporal dependencies in data, leveraging large datasets for pretraining and applying this knowledge to improve

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Jeremie Busio Legaspi, Roan Joyce Ohoy Licuben, Emmanuel Alegado Legaspi, and Joven Aguinaldo Tolentino. "Comparing ai detectors: evaluating performance and efficiency." International Journal of Science and Research Archive 12, no. 2 (2024): 833–38. http://dx.doi.org/10.30574/ijsra.2024.12.2.1276.

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The widespread utilization of AI tools such as ChatGPT has become increasingly prevalent among learners, posing a threat to academic integrity. This study seeks to evaluate capability and efficiency of AI detection tools in distinguishing between human-authored and AI-generated works. Three-paragraph works on “AutoCAD and Architecture” were generated through ChatGPT, and three human-written works were subjected to evaluation. AI detection tools such as GPTZero, Copyleaks and Writer AI were used to evaluate these paragraphs. Parameters such as “Human/Human Text/Human Generated Text” and “AI/AI

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Ridho, M., Aswadi Jaya, Hermansyah, Suthida Chantavhong, and Nattapong Rattanakosin. "ANALYZING THE USE OF ARTIFICIAL INTELLIGENCE (AI) IN WRITING ACADEMIC PAPERS OF STUDENT AT UNIVERSITAS PGRI PALEMBANG." Esteem Journal of English Education Study Programme 8, no. 2 (2025): 180–91. https://doi.org/10.31851/esteem.v8i2.18732.

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This study investigates the role of Artificial Intelligence (AI) in enhancing students’ academic writing skills, with a specific focus on English Education students at Universitas PGRI Palembang. Utilizing a qualitative descriptive design within a phenomenological framework, the research examines the impact of AI tools—such as ChatGPT, Grammarly, and Quillbot—on the quality of student writing, their knowledge development, and their perceptions of these technologies. Data were gathered through observations, interviews, and documentation involving 10 students from the second and fourth semesters

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Moraes, Felipe Soares de. "Detecção de textos gerados pelo ChatGPT." Revista de Ciências do Estado 9, no. 2 (2024): 1–21. https://doi.org/10.35699/2525-8036.2024.53509.

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The popularization of Artificial Intelligence (AI) tools for text generation has intensified debates about the authenticity and reliability of digital content amid growing concerns about academic fraud, copyright violations, and misinformation. This study evaluated the effectiveness of five detection tools (Copyleaks AI Content Detector, AI by Smodin, PlagiarismDeTector.NET AI, ZeroGPT, and AI Content Detector) in distinguishing between human-written texts and texts generated by ChatGPT. The results indicate that the tools vary in their accuracy and reliability. While Copyleaks and AI by Smodi

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Fatimah, Rafharum, Auziah Mumtaz, Fauzan Muhammad Fahrezi, and Diky Zakaria. "AI-Generated Misinformation: A Literature Review." Indonesian Journal of Artificial Intelligence and Data Mining 7, no. 2 (2024): 241. http://dx.doi.org/10.24014/ijaidm.v7i2.26455.

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The expansion of artificial intelligence (AI) technologies has signaled an entirely new era in which the creation and sharing of information, both correct and misleading, are becoming increasingly automated. This research of the literature explores the landscape of AI-generated misinformation, including its various manifestations, underlying technology, societal impact, and detection tools. This paper reviews articles from the Google Scholar database related to AI-Generated Misinformation focusing on the following research questions: the types, content distribution, detector variations, differ

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Zavalin, Vyacheslav, and Oksana L. Zavalina. "Are we there yet? Evaluation of AI-generated metadata for online information resources." Information Research an international electronic journal 30, iConf (2025): 732–40. https://doi.org/10.47989/ir30iconf47215.

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Introduction. Generative AI tools are increasingly used in creating descriptive metadata the quality of which is key for information discovery and support of information user tasks. Machine-readable online information resources such as websites naturally lend themselves to automatic metadata creation. Yet, assessments of AI-generated metadata for them are lacking. AI metadata quality research to date is limited to 2 metadata standards. Method. This experimental study assessed the quality of AI-generated descriptive metadata in 4 most widely used standards: Dublin core, MODS, MARC, and BIBFRAME

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Namrata, Ladha, Yadav Kaushal, and Rathore Priya. "AI-Generated Content Detectors: Boon or Bane for Scientific Writing." Indian Journal of Science and Technology 16, no. 39 (2023): 3435–39. https://doi.org/10.17485/IJST/v16i39.1632.

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Abstract <strong>Objectives:</strong> The purpose of the study is to help publishers identify AI-generated text in scientific research, academic works, and assignments as a critical step toward the regulation and promotion of the ethical usage of AI in academia. <strong>Method:</strong> Recently developed literature on Generative AI suggests that human reviewers may fail to distinguish between human and AI-generated articles. Therefore, the present study evaluates AI-powered software as a potential solution for AI-generated content detection. We performed an experiment to see wh

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