Academic literature on the topic 'ChatGPT 3.5'

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Journal articles on the topic "ChatGPT 3.5"

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Kim, Rachel, Alex Margolis, Joe Barile, et al. "Challenging the Chatbot: An Assessment of ChatGPT's Diagnoses and Recommendations for DBP Case Studies." Journal of Developmental & Behavioral Pediatrics 45, no. 1 (2024): e8-e13. http://dx.doi.org/10.1097/dbp.0000000000001255.

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Objective: Chat Generative Pretrained Transformer-3.5 (ChatGPT) is a publicly available and free artificial intelligence chatbot that logs billions of visits per day; parents may rely on such tools for developmental and behavioral medical consultations. The objective of this study was to determine how ChatGPT evaluates developmental and behavioral pediatrics (DBP) case studies and makes recommendations and diagnoses. Methods: ChatGPT was asked to list treatment recommendations and a diagnosis for each of 97 DBP case studies. A panel of 3 DBP physicians evaluated ChatGPT's diagnostic accuracy a
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Luzano, Jay Fie Paler. "ChatGPT-Assisted Data Analysis in Mathematics Education Research (CADAMER): A Scoping Review in the Post-Modern Scholarly Milieu." International Journal of Technology in Education 8, no. 3 (2025): 789–801. https://doi.org/10.46328/ijte.1185.

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This study investigated the role of ChatGPT-assisted data analysis in mathematics education research within the post-modern scholarly milieu using a scoping review approach. This examined how ChatGPT contributes to ethical, reliable, rigorous, and context-sensitive data analysis in mathematics education research. The findings reveal five (5) emergent themes that define ChatGPT’s role in this domain: (1) ChatGPT for Quantitative Analysis; (2) ChatGPT for Qualitative Coding; (3) ChatGPT and Research Ethics; (4) ChatGPT in Literature Reviews; and (5) ChatGPT on the Future of Research. Based on th
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Knoedler, Leonard, Michael Alfertshofer, Samuel Knoedler, et al. "Pure Wisdom or Potemkin Villages? A Comparison of ChatGPT 3.5 and ChatGPT 4 on USMLE Step 3 Style Questions: Quantitative Analysis." JMIR Medical Education 10 (January 5, 2024): e51148. http://dx.doi.org/10.2196/51148.

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Background The United States Medical Licensing Examination (USMLE) has been critical in medical education since 1992, testing various aspects of a medical student’s knowledge and skills through different steps, based on their training level. Artificial intelligence (AI) tools, including chatbots like ChatGPT, are emerging technologies with potential applications in medicine. However, comprehensive studies analyzing ChatGPT’s performance on USMLE Step 3 in large-scale scenarios and comparing different versions of ChatGPT are limited. Objective This paper aimed to analyze ChatGPT’s performance o
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Alkaabi, Ahmed, Asma Abdallah, Shamma Alblooshi, Fatima Alomari, and Sara Alneaimi. "ChatGPT in higher education: Opportunities, challenges, and required competencies in the absence of guiding policies." Journal of Education and e-Learning Research 12, no. 2 (2025): 153–64. https://doi.org/10.20448/jeelr.v12i2.6746.

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This study examines the opportunities and challenges of employing ChatGPT in higher education, identifies essential user competencies, and evaluates its impact in the absence of formal policy guidelines. A qualitative case study design involved interviews with 10 faculty members and 10 students at a federal university in the United Arab Emirates. Documentation of live ChatGPT usage was also analyzed to triangulate findings. Thematic analysis revealed the following eight core themes: (1) Cost-effectiveness and time savings. (2) ChatGPT as a source of information and a flexible tool. (3) ChatGPT
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Thai Phuong, LE. "CHATGPT IN LEARNING AND RESEARCH: PERSPECTIVES FROM LECTURERS AND STUDENTS OF UNIVERSITIES IN DA NANG CITY." Vinh University Journal of Science 53, Special Issue 1 (2024): 155–62. http://dx.doi.org/10.56824/vujs.2024.htkhgd36.

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The research aims to survey the views of lecturers and students at universities in Da Nang about the application of ChatGPT in learning and research. The results show that the majority of students are using ChatGPT, mainly to look up information with a frequency of 3-5 times/week. While students have a positive view of ChatGPT's potential, the majority of faculty do not support the use of this tool. Reasons for support include: support for searching, answering questions, suggesting ideas, promoting active learning and the ability to analyze and synthesize information. On the contrary, opposing
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Johnson, Colin M., Catherine S. Bradley, Kimberly A. Kenne, et al. "Evaluation of ChatGPT for Pelvic Floor Surgery Counseling." Urogynecology 30, no. 3 (2024): 245–50. http://dx.doi.org/10.1097/spv.0000000000001459.

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Importance Large language models are artificial intelligence applications that can comprehend and produce human-like text and language. ChatGPT is one such model. Recent advances have increased interest in the utility of large language models in medicine. Urogynecology counseling is complex and time-consuming. Therefore, we evaluated ChatGPT as a potential adjunct for patient counseling. Objective Our primary objective was to compare the accuracy and completeness of ChatGPT responses to information in standard patient counseling leaflets regarding common urogynecological procedures. Study Desi
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Jedrzejczak, W. Wiktor, Piotr H. Skarzynski, Danuta Raj-Koziak, Milaine Dominici Sanfins, Stavros Hatzopoulos, and Krzysztof Kochanek. "ChatGPT for Tinnitus Information and Support: Response Accuracy and Retest after Three and Six Months." Brain Sciences 14, no. 5 (2024): 465. http://dx.doi.org/10.3390/brainsci14050465.

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Testing of ChatGPT has recently been performed over a diverse range of topics. However, most of these assessments have been based on broad domains of knowledge. Here, we test ChatGPT’s knowledge of tinnitus, an important but specialized aspect of audiology and otolaryngology. Testing involved evaluating ChatGPT’s answers to a defined set of 10 questions on tinnitus. Furthermore, given the technology is advancing quickly, we re-evaluated the responses to the same 10 questions 3 and 6 months later. The accuracy of the responses was rated by 6 experts (the authors) using a Likert scale ranging fr
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Martel-Côté, Nicolas, Lydia Taibi, Juliette Vérot, et al. "Comportement des agents conversationnels quant aux rôles et retombées du pharmacien : une étude exploratoire." Pharmactuel 58, no. 1 (2025): 31–37. https://doi.org/10.63209/2025.1540.

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Objectif : Décrire le profil général du comportement de deux agents conversationnels et leurs différentes versions existantes et qualifier l’adéquation des réponses proposées à des questions sur les rôles et retombées du pharmacien. Qualifier la justesse des références bibliographiques proposées par ces agents conversationnels. Méthode : Étude descriptive et qualitative de type transversal exploratoire. Deux agents conversationnels ont été sélectionnés, soit ChatGPT (version 3.5 gratuite, version 4 payante) et Bing (trois versions, soit Bing équilibré, précis et créatif). Quarante-six question
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Lam Hoai, Xuân-Lan, and Thierry Simonart. "Comparing Meta-Analyses with ChatGPT in the Evaluation of the Effectiveness and Tolerance of Systemic Therapies in Moderate-to-Severe Plaque Psoriasis." Journal of Clinical Medicine 12, no. 16 (2023): 5410. http://dx.doi.org/10.3390/jcm12165410.

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Background: Meta-analyses (MAs) and network meta-analyses (NMAs) are high-quality studies for assessing drug efficacy, but they are time-consuming and may be affected by biases. The capacity of artificial intelligence to aggregate huge amounts of information is emerging as particularly interesting for processing the volume of information needed to generate MAs. In this study, we analyzed whether the chatbot ChatGPT is able to summarize information in a useful fashion for providers and patients in a way that matches up with the results of MAs/NMAs. Methods: We included 16 studies (13 NMAs and 3
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Haemmerli, Julien, Lukas Sveikata, Aria Nouri, et al. "ChatGPT in glioma adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?" BMJ Health & Care Informatics Online 30, no. 1 (2023): e100775. http://dx.doi.org/10.1136/bmjhci-2023-100775.

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ObjectiveTo evaluate ChatGPT‘s performance in brain glioma adjuvant therapy decision-making.MethodsWe randomly selected 10 patients with brain gliomas discussed at our institution’s central nervous system tumour board (CNS TB). Patients’ clinical status, surgical outcome, textual imaging information and immuno-pathology results were provided to ChatGPT V.3.5 and seven CNS tumour experts. The chatbot was asked to give the adjuvant treatment choice, and the regimen while considering the patient’s functional status. The experts rated the artificial intelligence-based recommendations from 0 (compl
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Books on the topic "ChatGPT 3.5"

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Følstad, Asbjørn, Theo Araujo, Symeon Papadopoulos, et al., eds. Chatbot Research and Design. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54975-5.

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Book chapters on the topic "ChatGPT 3.5"

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Sblendorio, Elena, Alessio Lo Cascio, Daniele Napolitano, et al. "Assessing and Comparing Free Large Language Models’ Responses to a Clinical Case: Accuracy, Safety, and Reliability." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89704-7_11.

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Abstract This research examines how five free of charge Large Language Models (LLMs)-Zephyr, Mistral 7B, LLAMA 2 7B, ChatGPT 3.5 and Copilot Precise-perform when faced with a nursing clinical scenario involving a neuropsychiatric emergency. Their responses were evaluated based on established guidelines by a Delphi consensus using a 5-point Likert scale to rate safety, accuracy, reliability and the potential for improvement. The findings underscore the greatest importance of safety and accuracy metrics. LLAMA 2 7B exhibits balanced but poor performance, scoring 3 out of 5 in Safety, Accuracy, a
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"Chapter 5: ChatGPT and GPT-4." In Python 3 using ChatGPT/GPT4. De Gruyter, 2023. http://dx.doi.org/10.1515/9781501518737-006.

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Kusumaningrum, Widya, Hwee Jean Lim, Kate Challis, and Jeanne Beck. "Exploring How English Language Learners Use ChatGPT in Their Email Writing Processes." In Exploring AI in Applied Linguistics. Iowa State University Digital Press, 2024. http://dx.doi.org/10.31274/isudp.2024.154.04.

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ChatGPT has captured the attention of educators worldwide due to its ability to rapidly generate linguistic responses to novel natural language prompts. Teachers and students alike are exploring ways the tool can promote learning and increase efficiency in carrying out common tasks in English. In line with this, the purpose of this study is to examine how English learners (ELs) use ChatGPT to create their emails and what features the EL’s email exhibit in comparison to ChatGPT’s output. We examined six university-level EL’s ChatGPT use while drafting emails using Baaijen & Galbraith’s (201
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"Chapter 5: Linear Regression with GPT-4." In Python 3 and Machine Learning Using ChatGPT/GPT-4. De Gruyter, 2024. http://dx.doi.org/10.1515/9781501520112-006.

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Sridhar, Dr Chethana, and Mrs Thejaswi Nandyala. "NLP AS A TOOL FOR CHATBOT COMMUNICATION." In Futuristic Trends in Artificial Intelligence Volume 3 Book 5. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bbai5p3ch2.

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In recent years, chatbots have gained popularity because of their potential value for business owners, staff members, and clients. The future of chatbots is, to put it mildly, life-changing, despite what we're used to and how their behaviours are largely limited to scripted conversations and responses. Although the typical usage may only call for brief responses and straightforward responses, it's crucial to understand how chatbots are developing and how Natural Language Processing (NLP) might enhance their capabilities. This feature offers several benefits and truly puts the "chat" in chatbot
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Gudoniene, Daina, Tomas Blazauskas, Rita Butkiene, Lina Čeponienė, and Evelina Staneviciene. "Learning Technologies." In Advances in Human Resources Management and Organizational Development. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0556-0.ch005.

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The aim of the chapter is to present the learning technologies helping students to get high-quality personalised assistance in the learning process. Digital transformation in education makes a huge impact on the quality of education; however, authors are focusing on the chatbots that can be used for providing personalised support and guidance to students in education. Moreover, chatbots can help to improve academic performance and reduce the number of drop out students. The authors will discuss the chatbot aspects based on the 6 main chatbot parameters that determine design and development pre
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Conference papers on the topic "ChatGPT 3.5"

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Alfarisi, O., R. Singh, R. Singhal, et al. "The First Drilling Dedicated Artificial Intelligence ChatGPT Pilot." In GOTECH. SPE, 2024. http://dx.doi.org/10.2118/219337-ms.

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Abstract Can drillers extract insights from successful and challenging cases by writing one sentence? Today, the drillers either dig, for days or weeks, the mixed-structured data of the Daily Drilling Report (DDR), the structured drilling data, or both to extract knowledge about successful cases (e.g., a record rate of penetration) and challenging cases (e.g., stuck pipe and Non-Productive Time (NPT)). The objective is to have the drilling operations insights extracted with no time from the current and historical data reports. We propose a more efficient knowledge extraction of drilling operat
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Tyagi, Pawan, and Ali Alshweiki. "Chat GPT Inclusive Student Active Teaching for Engineering Education." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-146093.

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Abstract ChatGPT assistive tools can dramatically enhance or limit the intellectual growth of engineering students based on how they are utilized. The utilization of ChatGPT in the assignments given generally after the instructor-focused lectures-based courses is considered a challenge; it is extremely difficult and burdensome to separate students’ original work from the copy-pasted portion of the ChaTGPT-like resources. Here, we present a case study of how ChatGPT was utilized to enhance student mastery of the course content when applied in Student Presentation-based Effective Teaching (SPET)
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Shrayberg, Yakov L. "The role of libraries in information support of science and education: The modern trends and realities." In The letter and digit: The libraries on the way to digitalization. Russian National Public Library for Science and Technology, 2024. http://dx.doi.org/10.33186/978-5-85638-275-3-244-255.

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The author discusses the main challenges of science and education in the Russian Federation, namely withdrawal from the Bologna system, sanctions, digitalization, and artificial intelligence in education. The Russian Federation has been developing the new national system of higher education to be set up before September 1, 2025. The author analyzes the vectors of using generative artificial intelligence (e.g. ChatGPT) in education. He compares the data of the national/centralized subscription to full-text resources in 2019 and 2024, and analyzes the vectors for Open Access development. Today,
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Chen, Weichuan, and Yu Sun. "Dataflexor: An Efficient Data Management Application using Fire Base and Advanced AI Models." In 10th International Conference on Computer Science, Engineering and Information Technology. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.141907.

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This paper presents the development and evaluation of Dataflexor, a streamlined data management application designed to enhance efficiency in professional environments [1]. The application integrates Firebase services for user authentication and real-time data synchronization, as well as advanced language models like ChatGPT and Gemini for enhanced functionality [2]. Several challenges were addressed during development, including API integration, latency issues, and user data privacy [3]. Experiments were conducted to evaluate the performance of Firebase Cloud Functions and the response times
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Wanichakorn, Aran, Natcha Sirikhvunchai, Kunanya Chanwithee, Yossakrai Saithong, and Koraklod Kumsook. "Design of Ganja, Thai Chatbot Character." In SPACE International Conferences April 2021. SPACE Studies Publications, 2022. http://dx.doi.org/10.51596/cbp2021.wrxc8803.

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ABSTRACT Design of Ganja, Thai Chat-bot Character is a research and development study with theobjectives to study the cannabis leaf identities and character design process and to designGanja, Thai chat-bot character. The design process consisted of 1) brainstorming for determinationof specifi cations and requirements, 2) studying the cannabis leaf identities and character designprocess, 3) determining keywords and design requirements, 4) brainstorming for analysis andselection of keywords, and 5) designing cannabis Ganja chat-bot character according to keywords,and determine the narrative conc
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Kangas, Marjaana, and Katriina Heljakka. "AI Play in Higher Education: Students’ perceptions of play and co-creation of knowledge with generative AI." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005571.

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Playful learning approaches are expected to take a leading role in digital transformation in higher education (HE) (Tonkin, 2019; Whitton, 2022). Artificial Intelligence (AI) is changing the world impacting education, necessitating the development of new skills (Einola & Khoreva, 2023) meaning that aspects of teaching, learning, and knowledge building are set to radically change, and there is a need to strengthen the capacity of learners to engage with the world around them, especially through imagining and envisioning the future in the digital age (e.g., UNESCO, 2020). It is believed that
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Stöckl, Andreas, and Daniel Diaz. "Cultural Differences in Perception and Engagement of AI-generated Online Ads." In 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications. AHFE International, 2025. https://doi.org/10.54941/ahfe1005916.

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AI-generated advertising media are fascinating for online advertising, as they can be used to achieve a high degree of personalization at a low cost. However, they also introduce unique challenges. The seamless integration of text and visuals, the ability to capture and retain audience attention, and the effectiveness of AI-generated content in diverse cultures are all areas that require in-depth understanding. This understanding is crucial as companies increasingly rely on AI to enhance their marketing efforts.In this study, we examine cultural differences in the perception of and interaction
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Gebbing, Pia, Bijan Khosrawi-Rad, Timo Strohmann, Charlotte Windolf, and Christoph Lattemann. "A Virtual Companion for Lifelong Learning – Design Principles for Motivation, Social Learning, and Exam Preparation." In 36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability. University of Maribor Press, 2023. http://dx.doi.org/10.18690/um.fov.6.2023.13.

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Lifelong vocational learning in a digital context frequently falters due to a lack of motivation, structure, time management, and attention to adult students’ work-life balance. In remote settings, students have further little contact with peers and feel disconnected. This paper answers how a Virtual Learning Companion (VLC) can be designed to address these challenges and fulfill the specific needs of vocational students. Following a Design Science Research (DSR) approach, a meta-requirement mapping process combines insights from a literature review and ten semi-structured interviews with voca
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Jenkins, Okera. "LACK OF CONSUMER ADOPTION OF CONVERSATIONAL ROBOTS IN THE ONLINE MARKETPLACE FOR U.S.-BASED CUSTOMERS: A QUALITATIVE STUDY." In International Conference on Business, Economics, Law, Language & Psychology, 21-22 June 2025, Berlin. Global Research & Development Services Publishing, 2025. https://doi.org/10.20319/icssh.2025.184185.

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Artificial intelligence technology continues to grow, with 2025 expected to exceed $17 billion USD in investments. Chatbots, or conversational robots, are a popular form of artificial intelligence technology used in marketing that involves consumer spending projected to surpass $72 billion USD by 2028. However, consumer reactions to chatbots continue to be a challenge despite marketers’ excitement. The problem addressed by this study was the lack of consumer adoption of conversational robots in the online marketplace. The purpose of this qualitative case study was to explore the lack of consum
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