Is ChatGPT a Good Tool for T&CM Students in Studying Pharmacology?

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

Although artificial intelligence (AI) is becoming more and prevalent in education, yet its patterns, problems with current research, potential applications are still largely unexplored. ChatGPT AI based platform, developed by research deployment company, known as OpenAI. Users may submit text instructions into ChatGPT, it will quickly produce answers using the information has gleaned through machine learning to interact internet. The objective of study test asking student centric medical questions field pharmacology determine relevancy self-studying subject so that students can use enhance their experience. were asked different domain drug's pharmacokinetics, mechanism action, clinical uses, adverse effect, contraindications drug-drug interactions. answer given relevant accurate, however reference or source not given. tool used quick instrument for traditional complementary medicine (T&CM) who face difficulty studying pharmacology.

Язык: Английский

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Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate

Machine Learning and Knowledge Extraction, Год журнала: 2023, Номер 5(3), С. 1023 - 1035

Опубликована: Авг. 7, 2023

This study examines the ethical issues surrounding use of Artificial Intelligence (AI) in healthcare, specifically nursing, under European General Data Protection Regulation (GDPR). The analysis delves into how GDPR applies to healthcare AI projects, encompassing data collection and decision-making stages, reveal implications at each step. A comprehensive review literature categorizes research investigations three main categories: Ethical Considerations AI; Practical Challenges Solutions Integration; Legal Policy Implications AI. uncovers a significant deficit this field, with particular focus on owner rights ethics within compliance. To address gap, proposes new case studies that emphasize importance comprehending establishing norms for medical applications, especially nursing. makes valuable contribution debate assists nursing professionals developing practices. insights provided help stakeholders navigate intricate terrain protection, considerations, regulatory compliance AI-driven healthcare. Lastly, introduces real health-tech project named SENSOMATT, spotlighting privacy issues.

Язык: Английский

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How should we change teaching and assessment in response to increasingly powerful generative Artificial Intelligence? Outcomes of the ChatGPT teacher survey

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Янв. 26, 2024

Abstract There has been widespread media commentary about the potential impact of generative Artificial Intelligence (AI) such as ChatGPT on Education field, but little examination at scale how educators believe teaching and assessment should change a result AI. This mixed methods study examines views ( n = 318) from diverse range levels, experience discipline areas, regions AI assessment, ways that they change, key motivations for changing their practices. The majority teachers felt would have major or profound though sizeable minority it no impact. Teaching level, experience, area, region, gender all significantly influenced perceived assessment. Higher levels awareness predicted higher impact, pointing to possibility an ‘ignorance effect’. Thematic analysis revealed specific curriculum, pedagogy, changes feel are needed AI, which centre around learning with higher-order thinking, ethical values, focus processes face-to-face relational learning. Teachers were most motivated practices increase performance expectancy students themselves. We conclude by discussing implications these findings in world increasingly prevalent

Язык: Английский

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Teachers’ AI-TPACK: Exploring the Relationship between Knowledge Elements

Sustainability, Год журнала: 2024, Номер 16(3), С. 978 - 978

Опубликована: Янв. 23, 2024

The profound impact of artificial intelligence (AI) on the modes teaching and learning necessitates a reexamination interrelationships among technology, pedagogy, subject matter. Given this context, we endeavor to construct framework for integrating Technological Pedagogical Content Knowledge Artificial Intelligence Technology (Artificial Intelligence—Technological Knowledge, AI-TPACK) aimed at elucidating complex interrelations synergistic effects AI pedagogical methods, subject-specific content in field education. AI-TPACK comprises seven components: (PK), (CK), AI-Technological (AI-TK), (PCK), (AI-TCK), (AI-TPK), itself. We developed an effective structural equation modeling (SEM) approach explore relationships teachers’ knowledge elements through utilization exploratory factor analysis (EFA) confirmatory (CFA). result showed that six all serve as predictive factors variables. However, different varying levels explanatory power relation AI-TPACK. influence core (PK, CK, AI-TK) is indirect, mediated by composite (PCK, AI-TCK, AI-TPK), each playing unique roles. Non-technical have significantly lower teachers compared related technology. Notably, (C) diminishes PCK AI-TCK. This study investigates within its constituent elements. serves comprehensive guide large-scale assessment AI-TPACK, nuanced comprehension interplay contributes deeper understanding generative mechanisms underlying Such insights bear significant implications sustainable development era intelligence.

Язык: Английский

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Generative AI and human–robot interaction: implications and future agenda for business, society and ethics

AI & Society, Год журнала: 2024, Номер unknown

Опубликована: Март 15, 2024

Язык: Английский

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Enhancing teacher AI literacy and integration through different types of cases in teacher professional development

Computers and Education Open, Год журнала: 2024, Номер 6, С. 100178 - 100178

Опубликована: Апрель 10, 2024

Integrating artificial intelligence (AI) into teaching practices is increasingly vital for preparing students a technology-centric future. This study examined the influence of case-based AI professional development (PD) program on integration strategies and literacy among seven middle school science teachers. Employing three distinct case problems, from well-structured to ill-structured, PD aimed stimulate teachers' reflection encourage construction problem-solving within various pedagogical contexts. Analysis video-recorded discussions revealed that teachers primarily drew personal experiences collaborative across cases. However, complexity problems influenced their approach knowledge co-construction, dealing with ill-structured promoted application new knowledge. Through analyzing survey data, we found marked increase in literacy, particularly domain knowing understanding AI, suggesting pivotal role direct instruction supports growth. this was limited during discussions, while other domains teacher were more frequently employed. The findings highlight importance combining AI-related programs bolster effectively. research has implications using learning short-term initiatives advocates ongoing need comprehensive facilitate subject-specific teaching.

Язык: Английский

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Understanding K–12 teachers’ technological pedagogical content knowledge readiness and attitudes toward artificial intelligence education

Education and Information Technologies, Год журнала: 2024, Номер 29(15), С. 19505 - 19536

Опубликована: Март 20, 2024

Abstract Artificial intelligence (AI) education is increasingly being recognized as essential at the K–12 level. For better understanding teachers’ preparedness for AI and effectively developing relevant teacher training programs, technological pedagogical content knowledge (TPACK) readiness attitudes toward teaching must be determined. However, limited research has been conducted on this topic. To address gap, we recruited 1,664 teachers to obtain a comprehensive view of in classrooms. These differed terms their gender, subject, grade, experience, experience AI. The findings study indicated that substantial gap exists AI-related teachers. Moreover, intriguing relationships were found between knowledge, effects demographic factors TPACK also examined. On basis study, recommendations formulated effective professional development programs field education.

Язык: Английский

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Examining artificial intelligence literacy among pre-service teachers for future classrooms

Computers and Education Open, Год журнала: 2024, Номер 6, С. 100179 - 100179

Опубликована: Апрель 10, 2024

In the context of global integration and increasing reliance on Artificial Intelligence (AI) in education, evaluating AI literacy pre-service teachers is crucial. As future architects educational systems, must not only possess pedagogical expertise but also a strong foundation literacy. This quantitative study examines among 529 Nigerian university, utilizing structural equation modeling (SEM) for comprehensive analysis. The research explores various dimensions literacy, revealing that profound understanding significantly predicts positive outcomes use, detection, ethics, creation, problem-solving. However, no correlation exists between knowledge emotion regulation or assumption active use enhances detection capabilities. identifies trade-off application emphasizing ethical considerations intertwined with emotional persuasive facets use. It supports link creation problem-solving, foundational role shaping diverse aspects teachers. findings offer valuable insights educators, administrators, policymakers, researchers aiming to enhance teacher education programs.

Язык: Английский

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Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners

Technology Knowledge and Learning, Год журнала: 2024, Номер unknown

Опубликована: Июнь 4, 2024

Abstract One trending theme within research on learning and teaching is an emphasis artificial intelligence (AI). While AI offers opportunities in the educational arena, blindly replacing human involvement not answer. Instead, current suggests that key lies harnessing strengths of both humans to create a more effective beneficial experience. Thus, importance ‘humans loop’ becoming central tenet AI. As technology advances at breakneck speed, every area society, including education, needs engage with explore implications this phenomenon. Therefore, paper aims assist process by examining impact education from researchers’ practitioners' perspectives. The authors conducted Delphi study involving survey administered N = 33 international professionals followed in-depth face-to-face discussions panel researchers identify trends challenges for deploying education. results indicate three most important impactful were (1) privacy ethical use AI; (2) trustworthy algorithms; (3) equity fairness. Unsurprisingly, these also identified as challenges. Based findings, outlines policy recommendations agenda closing gaps.

Язык: Английский

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Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning

IEEE Transactions on Learning Technologies, Год журнала: 2024, Номер 17, С. 1683 - 1700

Опубликована: Янв. 1, 2024

While ongoing efforts have continuously emphasized the integration of ChatGPT with science teaching and learning, there are limited empirical studies exploring its actual utility in classroom. This study aims to fill this gap by analyzing lesson plans developed 29 pre-service elementary teachers assessing how they integrated into learning activities. We first examined was subject domains, methods/strategies then evaluated using a GenAI-TPACK-based rubric. further teachers' perceptions concerns about integrating learning. Results show diverse number applications different domains—e.g., Biology (9/29), Chemistry (7/29), Earth Science (7/29). Fourteen types were identified plans. On average, scored high on modified TPACK-based rubric (M = 3.29; SD .91; 1-4 scale), indicating reasonable envisage particularly 'instructional strategies & ChatGPT' 3.48; .99). However, relatively lower exploiting ChatGPT's functions toward full potential 3.00; .93), compared other aspects. also several inappropriate use cases planning (e.g., as source hallucinated internet material technically unsupported visual guidance). Pre-service anticipated afford high-quality questioning, self-directed individualized support, formative assessment. Meanwhile, expressed accuracy risks that students may be overly dependent ChatGPT. They suggested solutions systemizing classroom dynamics between students. The underscores need for more research roles generative AI settings provides insights future AI-integrated

Язык: Английский

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