Toward cultural interpretability: A linguistic anthropological framework for describing and evaluating large language models by Graham M Jones, Shai Satran, Arvind Satyanarayan

“…Through the analysis of a conversation between a human user and an LLM-powered chatbot, we demonstrate the theoretical feasibility of a new, conjoint field of inquiry, cultural interpretability (CI). …”
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Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools by Ming Liu, Yiling Ren, Lucy Michael Nyagoga, Francis Stonier, Zhongming Wu, Liang Yu

“…Abstract ChatGPT is an artificial intelligence chatbot that utilizes advanced natural language processing technologies, including large language models, to produce human‐like responses to user queries spanning a wide range of topics from programming to mathematics. …”
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Evaluating AI-Generated Language as Models for Strategic Competence in English Language Teaching by Phuong-Anh Nguyen

“…Across the two prompting conditions, the chatbot was able to present a wide range of CSs, including achievement, self-monitoring, time-gaining, and interactive strategies. …”
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Social vulnerability and genetic service utilization among unaffected BRIDGE trial patients with inherited cancer susceptibility by Jemar R. Bather, Melody S. Goodman, Adrian Harris, Guilherme Del Fiol, Rachel Hess, David W. Wetter, Daniel Chavez-Yenter, Lingzi Zhong, Lauren Kaiser-Jackson, Rachelle Chambers, Richard Bradshaw, Wendy Kohlmann, Sarah Colonna, Whitney Espinel, Rachel Monahan, Saundra S. Buys, Ophira Ginsburg, Kensaku Kawamoto, Kimberly A. Kaphingst, on behalf of the BRIDGE research team

“…We tested whether intervention condition (i.e., chatbot vs. SOC) moderated the association of social vulnerability with genetic service utilization. …”
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Superficially Plausible Outputs from a Black Box: Problematising GenAI Tools for Analysing Qualitative SoTL Data by Mirjam Sophia Glessmer, Rachel Forsyth

“…To fill this gap, we experiment with the use of chatbot style GenAI (namely ChatGPT 4, ChatGPT 4o, and Microsoft Copilot) to support or conduct qualitative analysis of survey and interview data from a SoTL project, which had previously been analysed by experienced researchers using thematic analysis. …”
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The predictors of behavioral intention to use ChatGPT for academic purposes: evidence from higher education in Somalia by Ahmed-Nor Mohamed Abdi, Abukar Mukhtar Omar, Mohamed Hassan Ahmed, Abdullahi Abdulkadir Ahmed

“…ChatGPT, an AI chatbot created by OpenAI in November 2022, has caught the attention of scholars due to its potential in higher education. …”
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Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration by Sangzin Ahn

“…Author guidelines were collected and screened by a human researcher and AI chatbot to identify AI-related content. The key components of LLM policies were extracted and compared across journals. …”
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Sequence Analysis-Enhanced AI: Transforming Interactive E-Book Data into Educational Insights for Teachers by Yaroslav Opanasenko, Emanuele Bardone, Margus Pedaste, Leo Aleksander Siiman

“…We specified the process for developing a chatbot for transferring teachers’ queries into sequence analysis results and gathered feedback from teachers, allowing us both to estimate current design solutions to make sequence analysis results available and to find potential vectors of its development. …”
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ChatGPT, Bard, Bing Chat, and Claude generate feedback for Chinese as foreign language writing: A comparative case study by Saleh Obaidoon, Haiping Wei

“…The study assessed the models' effectiveness, accuracy, alignment with pedagogical principles, and cultural appropriateness through a multi‐faceted data collection process involving student article writing, chatbot feedback, and teacher evaluation. The quantitative analysis of teacher ratings indicates that Claude demonstrated the highest average alignment with human instructor scores across the four articles, followed by Google Bard. …”
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Beyond the Hype: Ten Lessons from Co-Creating and Implementing Digital Innovation in a Rwandan Smallholder Banana Farming System by Julius Adewopo, Mariette McCampbell, Charles Mwizerwa, Marc Schut

“…By reaching over 272,200 smallholder farmers in Rwanda through a smartphone app, unstructured supplementary service data, a chatbot, and other ancillary channels, we assessed various assumptions regarding intrinsic motivation, incentives, and skills retention among the target digital tool users. …”
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Accelerating editorial processes in scientific journals: Leveraging AI for rapid manuscript review by Luca Fiorillo, Vini Mehta

“…The method includes a detailed analysis of AI-powered chatbots' customer service, healthcare, and e-commerce applications. …”
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Medical students and ChatGPT: analyzing attitudes, practices, and academic perceptions by Ahmed Samir Abdelhafiz, Maysa I. Farghly, Eman Anwar Sultan, Moaz Elsayed Abouelmagd, Youssef Ashmawy, Eman Hany Elsebaie

“…Abstract Background ChatGPT, a chatbot launched by OpenAI in November 2022, has generated both excitement and concern within the healthcare education, research, and practice communities. …”
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Application of Conversational AI Models in Decision Making for Clinical Periodontology: Analysis and Predictive Modeling by Albert Camlet, Aida Kusiak, Dariusz Świetlik

“…(1) Background: Language represents a crucial ability of humans, enabling communication and collaboration. ChatGPT is an AI chatbot utilizing the GPT (Generative Pretrained Transformer) language model architecture, enabling the generation of human-like text. …”
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Boosting knowledge, attitudes, and practices: An experimental controlled study evaluating the effectiveness of m-health training on antimicrobial resistance for hemodialysis nurses by Hossam Alhawatmeh, Mohammed Aljarrah, Issa M Hweidi, Nezam Al-Nsair, Mohammad S Alyahya, Sawsan Abuhammad

“…The m-health group received antimicrobial resistance education through a WhatsApp Chatbot, while the control group received no information on the study topic. …”
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Bibliometric Analysis on ChatGPT Research with CiteSpace by Dongyan Nan, Xiangying Zhao, Chaomei Chen, Seungjong Sun, Kyeo Re Lee, Jang Hyun Kim

“…ChatGPT is a generative artificial intelligence (AI) based chatbot developed by OpenAI and has attracted great attention since its launch in late 2022. …”
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Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging by Eun Young Choi, Joon Yul Choi, Tae Keun Yoo

“…We investigated whether ChatGPT-4, an advanced large-language-model chatbot, can develop risk calculators for DR and DME using health check-up tabular data without the need for retinal imaging or coding experience. …”
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A Mindfulness-Based App Intervention for Pregnant Women: Qualitative Evaluation of a Prototype Using Multiple Case Studies by Silvia Rizzi, Maria Chiara Pavesi, Alessia Moser, Francesca Paolazzi, Michele Marchesoni, Stefania Poggianella, Erik Gadotti, Stefano Forti

“…The questionnaires showed that domain experts, for instance, positively evaluated chatbot-related aspects such as empathy and comprehensibility of the terms used and rated the mindfulness traces present as supportive and functional. …”
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Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

“…MIA offers 7 features: personalized tips, PA literacy, guided peer workouts, a community calendar, a personal activity diary, a progression monitor, and a chatbot. MethodsOur study used a mixed methods approach to evaluate the MIA app’s acceptability, feasibility, and usability. …”
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Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

“…Furthermore, the project incorporates a patient-facing chatbot to provide information and support. By integrating patient data, empowering individuals with ASD, and supporting healthcare professionals, this platform aims to transform care accessibility, personalize treatment approaches, and optimize the entire care journey. …”
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Artificial intelligence as a factor revolutionizing higher education by Yu. B. Melnyk, I. S. Pypenko

“… Background and Aim of Study: The use of artificial intelligence and various chatbots based on it is becoming part of everyday higher education practice. …”
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