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  1. 301

    Measures of learner-generative ai relationships by Sung-Hee Jin

    Published 2025-06-01
    “…An exploratory factor analysis with 95 undergraduate students confirmed a three-factor structure: Affective Intimacy, Cognitive Competence, and Social Flow, each comprising three sub-factors. …”
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  2. 302

    Evaluating the Reasoning Capabilities of Large Language Models for Medical Coding and Hospital Readmission Risk Stratification: Zero-Shot Prompting Approach by Parvati Naliyatthaliyazchayil, Raajitha Muthyala, Judy Wawira Gichoya, Saptarshi Purkayastha

    Published 2025-07-01
    “…Ground-truth labels were derived from the primary diagnosis documented in clinical notes, structured ICD-9F1 ResultsAmong nonreasoning models, LLaMA-3.1 achieved the highest primary diagnosis accuracy (n=255, 85%), followed by ChatGPT-4 (n=254, 84.7%) and Gemini-1.5 (n=237, 79%). …”
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  3. 303

    Development and validation of generative artificial intelligence attitude scale for students by Agostino Marengo, Fatma Gizem Karaoglan-Yilmaz, Ramazan Yılmaz, Mehmet Ceylan

    Published 2025-02-01
    “…IntroductionGenerative artificial intelligence (AI) tools, such as ChatGPT, have gained significant traction in educational settings, offering novel opportunities for enhanced learning experiences. …”
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  4. 304
  5. 305

    From data extraction to analysis: a comparative study of ELISE capabilities in scientific literature by Maxime Gobin, Muriel Gosnat, Seindé Toure, Lina Faik, Joel Belafa, Antoine Villedieu de Torcy, Florence Armstrong

    Published 2025-05-01
    “…The AI tools assessed include general-purpose models like ChatGPT and specialized solutions such as ELISE (Elevated LIfe SciencEs), SciSpace/Typeset, Humata, and Epsilon. …”
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  6. 306

    Digital Media and Foreign Language Learning

    Published 2007-04-01
    “… [Summary generated by ChatGPT] Overview: This issue of Babylonia explores the theme of Digital Media and Foreign Language Learning, examining the integration of multimedia tools and platforms into language education. …”
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  7. 307

    Acceptability and feasibility of an internet-based intervention for bereaved Chinese with prolonged grief: a mixed methods study by Wenxiao Jin, Wenjie Peng, Suqin Tang

    Published 2025-12-01
    “…Thematic analysis showed that most participants agreed that the intervention helped them cope with grief, embrace positive changes, and change their previous cognitions about psychological intervention and grief.Conclusions: The DPM-based intervention delivered via WeChat mini programme demonstrated high acceptability and feasibility among Chinese individuals with prolonged grief. …”
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  8. 308

    Admissions in the age of AI: detecting AI-generated application materials in higher education by Yijun Zhao, Alexander Borelli, Fernando Martinez, Haoran Xue, Gary M. Weiss

    Published 2024-11-01
    “…Additionally, we present a comparative analysis of the word frequency and statistical characteristics of the text, which provides convincing evidence that ChatGPT employs distinctive vocabulary and paragraph structure compared to human-authored text. …”
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  9. 309
  10. 310

    Artificial intelligence in Anatomy: Potential uses and challenges by Lubna Faisal

    Published 2025-04-01
    “…However, Chat GPT faces many challenges and limitations. …”
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  11. 311

    TCMLCM: an intelligent question-answering model for traditional Chinese medicine lung cancer based on the KG2TRAG method by Zhou Chunfang, Gong Qingyue, Zhan Wendong, Zhu Jinyang, Luan Huidan

    Published 2025-03-01
    “…Methods: The TCM lung cancer model (TCMLCM) was constructed by fine-tuning ChatGLM2-6B on the specialized datasets Tianchi TCM, HuangDi, and ShenNong-TCM-Dataset, as well as a TCM lung cancer KG. …”
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  12. 312
  13. 313

    Chatbots’ Role in Generating Single Best Answer Questions for Undergraduate Medical Student Assessment: Comparative Analysis by Enjy Abouzeid, Rita Wassef, Ayesha Jawwad, Patricia Harris

    Published 2025-05-01
    “…Bing scored low in most evaluation areas but generated appropriately structured lead-in questions. SBA questions from GPT-3.5, Gemini, and ChatGPT-4 had similar Item Content Validity Index and Scale Level Content Validity Index values, while the Krippendorff alpha coefficient was low (0.016). …”
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  14. 314

    DIDACTICS IN THE CONTEXT OF THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE IN EDUCATION by Sabrina Bacher, Kateryna Binytska, Christian Kraler, Iurii Shcherbiak

    Published 2025-04-01
    “…In our study, we used a comparative method to compare ChatGPT responses with student opinions, giving us a unique opportunity to explore the convergence or divergence of views. …”
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  17. 317

    Tailor swiftly: lessons learned from a nationwide implementation of an antimicrobial stewardship program for asymptomatic bacteriuria by Trenton M. Haltom, Sophia Braund, Rogelio Hernandez, Larissa Grigoryan, Barbara W. Trautner, Eva Amenta

    Published 2025-01-01
    “…Data come from analyses of descriptive field notes from the webinars and chat transcripts. Field notes were analyzed using the “sort and sift, think and shift” method. …”
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  18. 318

    User Intent to Use DeepSeek for Health Care Purposes and Their Trust in the Large Language Model: Multinational Survey Study by Avishek Choudhury, Yeganeh Shahsavar, Hamid Shamszare

    Published 2025-05-01
    “…When asked about their intent to adopt DeepSeek over other LLMs such as ChatGPT, 52.1% (n=290) were likely to switch, and 28.9% (n=161) were very likely to do so. …”
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  19. 319

    CO39 | Artificial intelligence in hemophilia management: challenging the need for experts

    Published 2025-08-01
    “…The first set of ten questions, generated by ChatGPT, covered essential aspects of hemophilia A and B, including diagnosis, traditional and novel treatments, disease incidence, and possible complications. …”
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  20. 320

    A Comparative Study of the Accuracy and Readability of Responses from Four Generative AI Models to COVID-19-Related Questions by Zongjing Liang, Yun Kuang, Xiaobo Liang, Gongcheng Liang, Zhijie Li

    Published 2025-06-01
    “…The purpose of this study is to compare the accuracy and readability of Coronavirus Disease 2019 (COVID-19)-prevention and control knowledge texts generated by four current generative artificial intelligence (AI) models—two international models (ChatGPT and Gemini) and two domestic models (Kimi and Ernie Bot)—and to evaluate the other performance characteristics of texts generated by domestic and international models. …”
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