Applying ChatGPT in public health: a SWOT and PESTLE analysis

Frontiers in Public Health, Journal Year: 2023, Volume and Issue: 11

Published: July 3, 2023

OPINION article Front. Public Health, 03 July 2023Sec. Digital Health Volume 11 - 2023 | https://doi.org/10.3389/fpubh.2023.1225861

Language: Английский

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Considerations for adapting higher education technology courses for AI large language models: A critical review of the impact of ChatGPT

Machine Learning with Applications, Journal Year: 2023, Volume and Issue: 15, P. 100513 - 100513

Published: Nov. 25, 2023

Following the very recent launch of ChatGPT chatbot, numerous comments and speculations were posted concerning potential aspects society that are expected to benefit from this AI revolution. In particular, education sector is considered as one primary domains affected by application, impact which remains yet be fully understood. Furthermore, many Higher Education institutions required get terms with its on teaching learning, clarify their stances use software. This study was developed investigate some critical case studies relevant inevitable re-evaluation educational needed, ranging academic missions student course learning outcomes ethical uses. a review pros cons in higher sector, paper shall demonstrate several early trials assessments related various specializations. Next, ability well-known detector software analyzed capacity successfully detect AI-generated content. Analysis made foreseen important including challenges benefits well integrity use. The concludes set recommendations our findings benchmarks obtained top universities order assist faculty members decision makers at response strategy ChatGPT.

Language: Английский

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Contribution and performance of ChatGPT and other Large Language Models (LLM) for scientific and research advancements: a double-edged sword

International Research Journal of Modernization in Engineering Technology and Science, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 12, 2023

This study focuses on evaluating the performance and potential contributions of ChatGPT, a generative artificial intelligence model, to advancement scientific research fields, including public health, climate change, computer programming, education etc.The commences by examining role ChatGPT in publishing, demonstrating how it can streamline creation content, thereby enhancing accessibility dissemination knowledge.In context health medical writing, investigates transform healthcare assisting professionals researchers generating accurate informative documents, contributing significantly widespread critical information advancements.In fight against change global warming, emerges as promising tool for addressing challenges related data analysis, prediction modeling, communication.The explores support scientists policymakers synthesizing intricate data, creating effective communication materials, mobilizing awareness action.Furthermore, assesses ChatGPT's field where aid developers debugging programming errors.Its ability comprehend generate code snippets streamlines problem-solving, boosting software development efficiency quality.The extends its examination across various domains, education.Additionally, delves into opportunities associated with integrating large language models like education.It enhance learning experience, automate administrative tasks, deliver personalized educational content.Simultaneously, addresses concerns bias, ethics, privacy.This underscores significant advancing endeavors multiple domains.It emphasizes importance responsible ethical utilization AI recognizing they offer expedite progress address challenges, all while remaining vigilant about societal implications.

Language: Английский

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Does ChatGPT Play a Double-Edged Sword Role in the Field of Higher Education? An In-Depth Exploration of the Factors Affecting Student Performance

Sustainability, Journal Year: 2023, Volume and Issue: 15(24), P. 16928 - 16928

Published: Dec. 18, 2023

The application of generative artificial intelligence in the field education has been receiving increasing attention, with performance chatbot ChatGPT being particularly prominent. This study aims to explore depth impact on higher students utilizing ChatGPT. To this end, we conducted a survey 448 university and employed partial-least squares (PLS) method structural equation modeling for data analysis. results indicate that all eight hypothetical paths posited were supported, surprisingly, hypothesis technology characteristics have direct effect was supported. Moreover, found overall quality is crucial factor determining impact. Overall indirectly affects through task-technology fit, characteristics, compatibility, among which mediating compatibility most significant, followed by characteristics. offers practical recommendations proper use during learning process assists developers enhancing services system.

Language: Английский

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Understanding Users’ Dissatisfaction with ChatGPT Responses: Types, Resolving Tactics, and the Effect of Knowledge Level

Published: March 18, 2024

Large language models (LLMs) with chat-based capabilities, such as ChatGPT, are widely used in various workflows. However, due to a limited understanding of these large-scale models, users struggle use this technology and experience different kinds dissatisfaction. Researchers have introduced several methods, prompt engineering, improve model responses. they focus on enhancing the model's performance specific tasks, little has been investigated how deal user dissatisfaction resulting from Therefore, ChatGPT case study, we examine users' along their strategies address After organizing LLM into seven categories based literature review, collected 511 instances dissatisfactory responses 107 detailed recollections experiences, which released publicly accessible dataset. Our analysis reveals that most frequently when fails grasp intentions, while rate severity related accuracy highest. We also identified four tactics employ effectiveness. found often do not any dissatisfaction, even using tactics, 72% remained unresolved. Moreover, low knowledge LLMs tend face more put minimal effort addressing Based findings, propose design implications for minimizing usability LLM.

Language: Английский

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Exploring the proficiency of ChatGPT-4: An evaluation of its performance in the Taiwan advanced medical licensing examination

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Taiwan is well-known for its quality healthcare system. The country's medical licensing exams offer a way to evaluate ChatGPT's proficiency.

Language: Английский

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Human-machine dialogues unveiled: an in-depth exploration of individual attitudes and adoption patterns toward AI-powered ChatGPT systems

Digital Policy Regulation and Governance, Journal Year: 2024, Volume and Issue: 26(4), P. 435 - 449

Published: April 4, 2024

Purpose ChatGPT is an advanced artificial intelligence (AI) form that can generate human-like text based on large amounts of data. This paper aims to empirically examine the adoption level among Indian individuals by considering key factors in determining individuals’ attitudes and intentions toward newly emerged AI tools. Design/methodology/approach used “partial least square structural equation modeling” (PLS-SEM) investigate relation several latent applying a representative sample 351 individuals. Findings study found trialability, performance expectancy personal innovativeness significantly influence individuals' attitudes, while compatibility effort do not impact attitudes. Additionally, expectancy, attitude behavioral intentions. However, has insignificant intention. Moreover, research highlights intention directly correlate with actual use. Specifically, absence makes people hesitate use technology does meet their specific needs. Practical implications These unique findings provide valuable insights for service providers government entities. They this information shape policies, deliver timely relevant updates enhance strategies boost ChatGPT. Originality/value one pioneering attempts exhibit stream understand individual acceptance emerging country. it gained significant attention from delivering experience promising solutions.

Language: Английский

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Enhancing active learning through collaboration between human teachers and generative AI

Computers and Education Open, Journal Year: 2024, Volume and Issue: 6, P. 100183 - 100183

Published: May 16, 2024

To address the increasing demand for AI literacy, we introduced a novel active learning approach that leverages both teaching assistants (TAs) and generative to provide feedback during in-class exercises. This method was evaluated through two studies in separate Computer Science courses, focusing on roles impacts of TAs this environment, as well their collaboration with ChatGPT enhancing student feedback. The revealed were effective accurately determining students' progress struggles, particularly areas such "backtracking", where students faced significant challenges. intervention's success evident from high engagement satisfaction levels, reported an end-of-semester survey. Further findings highlighted while provided detailed technical assessments identified conceptual gaps effectively, excelled presenting clarifying examples offering motivational support. Despite some TAs' resistance fully embracing guidelines-specifically reluctance encouragement-the collaborative process between improved quality several aspects, including accuracy clarity explaining issues. These results suggest integrating human artificial intelligence educational settings can significantly enhance traditional methods, creating more dynamic responsive environment. Future research will aim improve efficiency feedback, capitalizing unique strengths further advance practices field computing.

Language: Английский

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Unraveling the dark side of ChatGPT: a moderated mediation model of technology anxiety and technostress

Information Technology and People, Journal Year: 2024, Volume and Issue: unknown

Published: May 17, 2024

Purpose Limited knowledge exists regarding the adverse effects of artificial intelligence adoption, including platforms like ChatGPT, on users’ mental well-being. The current research seeks to adopt insight from stressor-strain-outcome paradigm and a moderated mediation model examine how technology anxiety moderates direct indirect relationships between compulsive use technostress, life satisfaction. Design/methodology/approach Drawing data sample 2,602 ChatGPT users in Vietnam, PROCESS macro was approached test model. Findings findings indicate that exhibited substantial positive impact while technostress found have negative influence Moreover, although did not show significant effect, it indirectly impacts satisfaction via technostress. Remarkably, significantly moderate both associations Practical implications Based this research, some practical are provided. Originality/value offers fresh perspective by applying provide empirical evidence relationship thus sheds new light adoption its health.

Language: Английский

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Mapping the Ethics of Generative AI: A Comprehensive Scoping Review

Minds and Machines, Journal Year: 2024, Volume and Issue: 34(4)

Published: Sept. 17, 2024

Language: Английский

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