Готові списки джерел за темами / Dependence on AI generated tools

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Добірка наукової літератури з теми "Dependence on AI generated tools"

Автор: Grafiati
Опубліковано: 7 червня 2025
Оновлено: 2 серпня 2025

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

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.

Повний текст джерела
Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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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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Анотація:
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.

Повний текст джерела
Анотація:
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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Анотація:
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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Книги з теми "Dependence on AI generated tools"

1

Orren, Karen, and Stephen Skowronek. Pathways to the Present. Edited by Richard Valelly, Suzanne Mettler, and Robert Lieberman. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199697915.013.19.

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Анотація:
The literature on American political development has generated a rich array of tools and concepts for thinking about the dynamics of state formation. More often than not, however, these devices appear as alternatives, with analysts prompted to choose among them. Seldom are the dynamics described brought to bear on one another. This chapter examines three of these dynamics—displacement, path dependence, and creative syncretism—and considers how each informs state formation in America. It then introduces the concept of a “policy state,” a concept which, among other things, can bring these three
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2

Drake, John M., Michael Bonsall, and Michael Strand, eds. Population Biology of Vector-Borne Diseases. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198853244.001.0001.

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Анотація:
Population Biology of Vector-Borne Diseases is the first comprehensive survey of this rapidly developing field. The chapter topics provide an up-to-date presentation of classical concepts, reviews of emerging trends, synthesis of existing knowledge, and a prospective agenda for future research. The contributions offer authoritative and international perspectives from leading thinkers in the field. The dynamics of vector-borne diseases are far more intrinsically ecological compared with their directly transmitted equivalents. The environmental dependence of ectotherm vectors means that vector-b
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3

Digital Detox: Education for Patients and the Public. Exon Publications, 2025. https://doi.org/10.36255/digital-detox.

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Анотація:
Digital Detox is the conscious practice of taking a break from digital devices such as smartphones, tablets, and computers to improve mental clarity, emotional balance, and physical well-being. This article provides a comprehensive and practical guide to understanding digital overload, its effects on health, and how intentional disconnection can help people regain control over their time and focus. It begins with a detailed look at digital addiction and the psychological patterns that make it difficult to step away from screens. The content explains what a digital detox is, who can benefit fro
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Частини книг з теми "Dependence on AI generated tools"

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Gragnaniello, Diego, Francesco Marra, and Luisa Verdoliva. "Detection of AI-Generated Synthetic Faces." In Handbook of Digital Face Manipulation and Detection. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_9.

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Анотація:
AbstractIn recent years there have been astonishing advances in AI-based synthetic media generation. Thanks to deep learning methods it is now possible to generate visual data with a high level of realism. This is especially true for human faces. Advanced deep learning tools allow one to easily change some specific attributes of a real face or even create brand new identities. Although this opens up a large number of new opportunities, just think of the entertainment industry, it also undermines the trustworthiness of media content and supports the spread of fake identities over the internet.
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Esteban Cuellar Argotty, Juan, and Ruben Manrique. "AI-Generated Code Detection: An Examination of Current Tools in Education." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-98281-1_15.

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3

Dierickx, Laurence, Carl-Gustav Lindén, and Andreas L. Opdahl. "The Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content." In Disinformation in Open Online Media. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47896-3_5.

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Анотація:
AbstractLarge language models have enabled the rapid production of misleading or fake narratives, presenting a challenge for direct detection methods. Considering that generative artificial intelligence tools are likely to be used either to inform or to disinform, evaluating the (non)human nature of machine-generated content is questioned, especially regarding the ‘hallucination’ phenomenon, which relates to generated content that does not correspond to real-world input. In this study, we argue that assessing machine-generated content is most reliable when done by humans because doing so invol
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4

Senigaglia, Roberto. "Intelligenza artificiale e strumenti digitali del mercato dell’arte. Considerazioni introduttive." In Strumenti del Dipartimento di Giurisprudenza di Siena. Firenze University Press, USiena Press, 2025. https://doi.org/10.36253/979-12-215-0702-7.11.

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Анотація:
Starting from the inseparable link between art, person, and creativity, the artistic nature of works generated solely by AI is excluded. However, intelligent technologies such as blockchain and NFTs provide new tools to enhance legal protection, ensuring authenticity, traceability, and legitimate use. The text calls for a rethinking of traditional legal categories, emphasizing the regulatory potential of digital systems in the artistic and cultural sectors.
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5

Bova, Pietro. "Artificial Intelligence and Co-Visioning: The Use of Images Generated with AI Tools in Participatory Planning." In Advances in Science, Technology & Innovation. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75709-9_25.

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6

Figliola, Angelo, Maurizio Barberio, Arturo Del Razo Montiel, and Pasquale Rienzo. "Generative Artificial Intelligence (AI) and Sustainable-Aided Design: Opportunities and Challenges." In Proceedings in Technology Transfer. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8588-9_39.

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Анотація:
Abstract The presented research explores the integration of Generative Artificial Intelligence (AI) tools into the Sustainable Aided Design (SADE) framework and assesses their potential and challenges in addressing actual issues within sustainable design. SADE is a methodology focused on enhancing project integration within the context. The research questions whether generative AI can assist architects in designing more sustainable buildings by providing early-stage control over sustainability aspects. The methodology involves the use of two approaches such as text-to-image and chatbot to asse
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Wivestad, Viggo Tellefsen, Astri Barbala, and Viktoria Stray. "Copilot’s Island of Joy." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-72781-8_13.

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Анотація:
AbstractThis study assesses the integration of GitHub Copilot into agile software development practices in one of Norway’s largest public sector organizations. Through a quasi-experimental survey of 115 participants, we differentiate the attitudes of users and non-users of GitHub Copilot regarding their development routines. Findings reveal that Copilot users experience significantly greater focus on engaging tasks and less dependence on colleagues compared to non-users, while non-users maintain a more cautious stance on AI use in the public sector. Further, while users generally showed more p
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Gupta, Aditi, and Rinkaj Goyal. "How Similar are Programming Solutions Generated by LLM-Based Generative AI Tools: A Semantic Clone Detection Approach." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1918-4_21.

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Ciavaldini-Cartaut, Solange, Jean-François Métral, Paul Olry, Dominique Guidoni-Stoltz, and Charles-Antoine Gagneur. "Artificial Intelligence in Professional and Vocational Training." In Palgrave Studies in Creativity and Culture. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55272-4_11.

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AbstractThis chapter explores challenges linked to AI integration in professional training, emphasising the need to question the learning analytics generated during activities involving humans or living entities. The intersection of initial and ongoing training poses a design challenge: making AI tools acceptable for both training and the workplace. This chapter critically examines the nature and quality of the initial data and learning analytics using educational data mining through three case studies of adaptive learning environments. The first case study addresses the challenges of modellin
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Bhattacharya, Pronaya, Pushan Kumar Dutta, Bhisham Sharma, Subrata Chowdhury, and Imed Ben Dhaou. "Amber Alert: Unveiling an AI Solution for Enhanced Missing Persons Searches." In Proceedings in Technology Transfer. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8588-9_5.

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Анотація:
Abstract In today online platforms, physical and biometric based identification is of paramount importance. Thus, to cater the high-processing needs of such applications, Artificial Intelligence (AI) based techniques have been a game-changer. These AI models works on user histories, that include user information, his photos, body and facial postures, and form matching identifications and similar community involvement recommendations. Deep Learning (DL), in particular, is used to work on facial and matching capabilities. In the context of missing persons reports filed to local authorities, thes
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Тези доповідей конференцій з теми "Dependence on AI generated tools"

1

Bello, Rotimi-Williams, Pius A. Owolawi, Etienne A. van Wyk, and Chunling Tu. "Image annotation tools and dataset: a comparative analysis in brief." In International Conference on AI-generated Content (AIGC 2024), edited by Duoqian Miao and Feng Zhao. SPIE, 2025. https://doi.org/10.1117/12.3065175.

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2

Kashkin, Vasily, Firuza Narzikulova, and Sanzhar Rakhimmirzaev. "Use of AI-based text analysis tools to determine human emotional and social intelligence." In International Conference on AI-generated Content (AIGC 2024), edited by Duoqian Miao and Feng Zhao. SPIE, 2025. https://doi.org/10.1117/12.3065908.

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Gümüş, Ahmet Ergun, and Nilgün Gürkaynak. "Setting the Research Agenda: Emotion Recognition Tools for AI-Generated Marketing and CRM." In 2024 Medical Technologies Congress (TIPTEKNO). IEEE, 2024. http://dx.doi.org/10.1109/tiptekno63488.2024.10755274.

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4

Greco, Danilo, and Luca Chianese. "Exploiting LLMs for E-Learning: A Cybersecurity Perspective on AI-Generated Tools in Education." In 2024 IEEE International Workshop on Technologies for Defense and Security (TechDefense). IEEE, 2024. https://doi.org/10.1109/techdefense63521.2024.10863662.

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Fawareh, Hamed, Hazim M. Al-Shdaifat, Al-Refai M, Faid AlNoor Fawareh, and Mohammed Khouj. "Investigates the Impact of AI-generated Code Tools on Software Readability Code Quality Factor." In 2024 25th International Arab Conference on Information Technology (ACIT). IEEE, 2024. https://doi.org/10.1109/acit62805.2024.10876897.

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6

Баширова, Дильбар. "ПОТЕНЦИАЛ РАЗВИТИЯ ТВОРЧЕСКИХ СПОСОБНОСТЕЙ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА". У “Müasir incəsənət məkanında süni intellekt: problemlər və perspektivlər” Beynəlxalq elmi-nəzəri konfrans. İnformasiya Texnologiyaları İnstitutu, 2025. https://doi.org/10.25045/asucaai.2025.21.

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Анотація:
Artificial Intelligence (AI) has moved beyond data analysis and automation to become a vital tool in creative fields, including art, music, writing, and design. Rather than replacing human creativity, AI enhances and expands it by providing innovative suggestions, generating new artistic patterns, and helping creators overcome creative blocks. AI-powered tools such as ChatGPT, DALL·E, and MuseNet support artists, writers, and musicians in their work. However, challenges remain regarding originality, intellectual property rights, and dependence on AI-generated content. This article explores how
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7

Talgatov, Y., G. K. Kassymova, and M. Nurtanto. "AI in the Classroom: A Boon or a Threat to Pedagogical Practices?" In Challenges of Science. Institute of Metallurgy and Ore Beneficiation JSC, Satbayev University, 2024. http://dx.doi.org/10.31643/2024.19.

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Анотація:
The integration of Artificial Intelligence (AI) in education offers significant potential to enhance learning experiences through personalized feedback, automated support, and efficient content creation tools. However, this study reveals both the benefits and potential drawbacks of AI’s role in pedagogy, particularly about over-reliance among secondary school students. Through a literature review, teacher surveys, and an experiment with sixth-grade students, the research explores how AI tools impact student engagement, critical thinking, and retention. Survey responses from teachers indicate m
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Chandrasekaran, Balaji. "Enhancing Efficiency in Manufacturing through Automated AI Agent-Based Bearing Defect Diagnostic System." In AeroTech Conference & Exhibition. SAE International, 2025. https://doi.org/10.4271/2025-01-0158.

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<div class="section abstract"><div class="htmlview paragraph">Industrial bearings are critical components in aerospace, industrial, and automotive manufacturing, where their failures can result in costly downtime. Traditional fault diagnosis typically depends on time-consuming on-site inspections conducted by specialized field engineers. This study introduces an automated Artificial Intelligence virtual agent system that functions as a maintenance technician, empowering on-site personnel to perform preliminary diagnoses. By reducing the dependence on specialized engineers, this tec
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Nieto-Riveiro, Laura, María Martínez-Pérez, Ángel Gómez, Jerónimo Pardo-Rodríguez, Iago Fernández-Garrido, and Santiago Noriega-Balseiro. "CuidaconTIC: Data Capture and Use from Wearables for Quality of Life in Caregiving." In VII Congreso XoveTIC: impulsando el talento científico. Servizo de Publicacións. Universidade da Coruña, 2024. https://doi.org/10.17979/spudc.9788497498913.55.

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This paper presents the development of a system designed to collect, process, and visualize wearable health data using the Google Fit API. The system enables users to access their personal health metrics, such as step count, heart rate, and sleep patterns, while also offering personalized content and recommendations based on these metrics. Additionally, the system supports healthcare researchers by providing an AI-driven interface that translates natural language queries into SQL, allowing for efficient data retrieval and analysis. While the system leverages the broad compatibility of Google F
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Rai, P., A. Jain, and A. Anand. "Generative AI and Large Language Model Assisted Causal Discovery and Inference for Driving Process Improvements." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/221872-ms.

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Анотація:
Data-driven process management coupled with machine learning have been successful in driving commercial value to oil and gas operators by offering insights into process disruptions and their root causes. One frequently used approach is to analyze causes of process disruptions exclusively from historical data. In general, specific insights in the form of high correlation between certain process performance indicators and a well-defined measure of production inefficiency is often confounded as responsible causal factors. While this may yield some insights, the complexity of processes, measured i
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Звіти організацій з теми "Dependence on AI generated tools"

1

Glandon, S. Ross, Casey L. Lorenzen, William F. Farthing, et al. Analysis tools and techniques for evaluating quality in synthetic data generated by the Virtual Autonomous Navigation Environment. US Army Engineer Research and Development Center, 2025. https://doi.org/10.21079/11681/49708.

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Анотація:
The capability to produce high-quality labeled synthetic image data is an important tool for building and maintaining machine learning datasets. However, ensuring computer-generated data is of high quality is very challenging. This report describes an effort to evaluate and improve synthetic image data generated by the Virtual Autonomous Navigation Environment’s Environment and Sensor Engine (VANE::ESE), as well as documenting a set of tools developed to process, analyze, and train models from, image datasets generated by VANE::ESE. Additionally, the results of several experiments are presente
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Greene Nolan, Hillary, and Mai Chou Vang. Automated Essay Scoring in Middle School Writing: Understanding Key Predictors of Students’ Growth and Comparing Artificial Intelligence- and Teacher-Generated Scores and Feedback. Digital Promise, 2023. http://dx.doi.org/10.51388/20.500.12265/187.

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Анотація:
Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos, essay prompts, and a platform for students to submit and revise essay drafts with AI-generated scores and feedback. We analyze AI-generated writing scores of 3,233 7th- and 8th-grade students in school year 2021-22 and find that students’ growth over t
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Greene Nolan, Ph.D., Hillary, Merijke Coenraad, Ph.D., and Viki Young, Ph.D. Teaching Partner, Grading Assistant, Substitute Teacher: Three Ways Teachers Positioned an Artificial Intelligence Tool in Writing Instruction. Digital Promise, 2024. http://dx.doi.org/10.51388/20.500.12265/226.

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Анотація:
This study investigates how teachers understand and position AI tools in middle school writing instruction, drawing on 27 teacher interviews collected during a study called Project Topeka that used an interactive argumentative writing platform with AI-generated scores and feedback. Based on the interviews, we generate an initial theoretical framework of how teachers position AI tools — and therefore themselves — in their teaching. We found that some teachers leveraged AI as a “teaching partner” that provided insights to help enhance teaching and learning while remaining central to instruction
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Gruber, Peter. Using ChatGPT and Copilot for Efficient Data Analysis in R. Instats Inc., 2023. http://dx.doi.org/10.61700/0lgrq7wtqjztt469.

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Анотація:
This workshop provides a 21st-century introduction to [b]Statistical Analysis with R,[/b] focusing on the efficient use of [b]AI assistants[/b] such as Github Copilot and ChatGPT. Participants will learn step by step how to install AI tools and how to harness their power. They will be able to create R code in the blink of an eye and with unprecedented ease of use. They will learn the principles of the R language, an important fundament for competently assessing and using AI-generated code. An official Instats certificate of completion is provided at the conclusion of the seminar along with 2 E
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Paulus, Trena, and Jessica Lester. Creating Digital Workflows for Qualitative Research. Instats Inc., 2023. http://dx.doi.org/10.61700/ko4rndbb9xfb6469.

Повний текст джерела
Анотація:
This four-hour seminar provides the theoretical and methodological grounding needed to develop digital workflows for designing and carrying out qualitative research. The seminar illustrates how researchers can leverage digital tools – social media conversations, online interviews, AI for data transcription and analysis – in meaningful and reflexive ways. By the conclusion, participants will have generated their own digital qualitative research workflow to address their own research questions and study designs. Participants will be guided through a process of answering key questions to consider
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Paulus, Trena, and Jessica Lester. Creating Digital Workflows for Qualitative Research. Instats Inc., 2023. http://dx.doi.org/10.61700/ud03e3s468hlm469.

Повний текст джерела
Анотація:
This four-hour seminar provides the theoretical and methodological grounding needed to develop digital workflows for designing and carrying out qualitative research. The seminar illustrates how researchers can leverage digital tools – social media conversations, online interviews, AI for data transcription and analysis – in meaningful and reflexive ways. By the conclusion, participants will have generated their own digital qualitative research workflow to address their own research questions and study designs. Participants will be guided through a process of answering key questions to consider
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Dudareva, Natalia, Alexander Vainstein, Eran Pichersky, and David Weiss. Integrating biochemical and genomic approaches to elucidate C6-C2 volatile production: improvement of floral scent and fruit aroma. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7696514.bard.

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Анотація:
The specific objectives of approved proposal include to: 1. Elucidate the C6-C2 biochemical pathways leading to the biosynthesis of phenylacetaldehyde, phenylethyl alcohol and phenylethyl acetate in floral tissues of ornamentally important plants, pefunia and roses. 2. Isolate and characterrze genes responsible for the production of these C6-C2 compounds and those involved in the regulation of the pathway using genomic and transcriptomic tools. 3. Determine whether altering the expression of key genes of this pathway can result in changing the aroma characteristics of flowers. Aldehydes are in
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