Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis

Sustainability, Год журнала: 2023, Номер 15(17), С. 12983 - 12983

Опубликована: Авг. 29, 2023

In the ever-evolving era of technological advancements, generative artificial intelligence (GAI) emerges as a transformative force, revolutionizing education. This review paper, guided by PRISMA framework, presents comprehensive analysis GAI in education, synthesizing key insights from selection 207 research papers to identify gaps and future directions field. study begins with content that explores GAI’s impact specific educational domains, including medical education engineering The versatile applications encompass assessment, personalized learning support, intelligent tutoring systems. Ethical considerations, interdisciplinary collaboration, responsible technology use are highlighted, emphasizing need for transparent models addressing biases. Subsequently, bibliometric is conducted, examining prominent AI tools, focus, geographic distribution, collaboration. ChatGPT dominant tool, reveals significant exponential growth 2023. Moreover, this paper identifies promising directions, such GAI-enhanced curriculum design longitudinal studies tracking its long-term on outcomes. These findings provide understanding potential reshaping offer valuable researchers, educators, policymakers interested intersection

Язык: Английский

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ChatGPT in education: Methods, potentials, and limitations

Computers in Human Behavior Artificial Humans, Год журнала: 2023, Номер 1(2), С. 100022 - 100022

Опубликована: Авг. 1, 2023

ChatGPT has been under the scrutiny of public opinion including in education. Yet, less work done to analyze studies conducted on educational contexts. This review paper examines where is employed literature and areas potential, challenges, future work. A total 64 publications were included this using general framework open axial coding. We coded summarized methods, reported potentials, limitations, each study. Thematic analysis reviewed revealed that most extant education explore through a commentary non-empirical lens. The potentials include but are not limited development personalized complex learning, specific teaching learning activities, assessments, asynchronous communication, feedback, accuracy research, personas, task delegation cognitive offload. Several challenge or will be facing also shared. Examples plagiarism deception, misuse lack accountability, privacy. There thus both concerns optimism about use education, yet pressing need ensure student academic integrity sacrificed. Our provides summary literature. further provide comprehensive unique discussion considerations for

Язык: Английский

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Performance of ChatGPT on the Pharmacist Licensing Examination in Taiwan

Journal of the Chinese Medical Association, Год журнала: 2023, Номер 86(7), С. 653 - 658

Опубликована: Май 25, 2023

ChatGPT is an artificial intelligence model trained for conversations. has been widely applied in general medical education and cardiology, but its application pharmacy lacking. This study examined the accuracy of on Taiwanese Pharmacist Licensing Examination investigated potential role education.ChatGPT was used first 2023 Mandarin English. The questions were entered manually one by one. Graphical questions, chemical formulae, tables excluded. Textual scored according to number correct answers. Chart question scores determined multiplying rate text questions. conducted from March 5 10, 2023, using 3.5.The Chinese English 54.4% 56.9% stage, 53.8% 67.6% second stage. On test, only pharmacology pharmacochemistry sections received passing scores. test higher than across all subjects significantly dispensing clinical as well therapeutics.ChatGPT 3.5 failed Examination. Although it not able pass examination, can be improved quickly through deep learning. It reminds us that we should use multiple-choice assess a pharmacist's ability, also more variety evaluations future. Pharmacy changed line with students must AI technology self-learning. More importantly, need help develop humanistic qualities strengthen their ability interact patients, so they become warm-hearted healthcare professionals.

Язык: Английский

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A GPT‐4 Reticular Chemist for Guiding MOF Discovery**

Angewandte Chemie International Edition, Год журнала: 2023, Номер 62(46)

Опубликована: Окт. 6, 2023

We present a new framework integrating the AI model GPT-4 into iterative process of reticular chemistry experimentation, leveraging cooperative workflow interaction between and human researcher. This Reticular Chemist is an integrated system composed three phases. Each these utilizes in various capacities, wherein provides detailed instructions for chemical experimentation feedback on experimental outcomes, including both success failures, in-context learning next iteration. human-AI enabled to learn from much like experienced chemist, by prompt-learning strategy. Importantly, based natural language development operation, eliminating need coding skills, thus, make it accessible all chemists. Our collaboration with guided discovery isoreticular series MOFs, each synthesis fine-tuned through expert suggestions. presents potential broader applications scientific research harnessing capability large models enhance feasibility efficiency activities.

Язык: Английский

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Metacognition and Critical Thinking: Using ChatGPT-Generated Responses as Prompts for Critique in a Problem-Solving Workshop (SMARTCHEMPer)

Journal of Chemical Education, Год журнала: 2023, Номер 100(8), С. 2972 - 2980

Опубликована: Июль 24, 2023

Successful problem solving is a complex process that requires content knowledge, skills, developed critical thinking, metacognitive awareness, and deep conceptual reasoning. Teaching approaches to support students developing problem-solving skills include worked examples, instructional scaffolding, variations of these techniques. In this report, we describe classroom activity, which involves combination practice, critiquing ChatGPT-generated solutions. It was demonstrated engaged with the idea metacognition as part toolbox showed appreciation for collaborative nature solving. They were also able identify mistakes flaws in provided erroneous solutions, albeit varying degrees. The results revealed incoming university likely require scaffolding develop sophisticated critical-thinking skills.

Язык: Английский

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Evaluation of the Performance of Generative AI Large Language Models ChatGPT, Google Bard, and Microsoft Bing Chat in Supporting Evidence-Based Dentistry: Comparative Mixed Methods Study

Journal of Medical Internet Research, Год журнала: 2023, Номер 25, С. e51580 - e51580

Опубликована: Ноя. 20, 2023

The increasing application of generative artificial intelligence large language models (LLMs) in various fields, including dentistry, raises questions about their accuracy.

Язык: Английский

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Generative Artificial Intelligence Acceptance Scale: A Validity and Reliability Study

International Journal of Human-Computer Interaction, Год журнала: 2023, Номер unknown, С. 1 - 13

Опубликована: Дек. 12, 2023

The purpose of this study is to formulate an acceptance scale grounded in the Unified Theory Acceptance and Use Technology (UTAUT) model. designed scrutinize students' generative artificial intelligence (AI) applications. This tool assesses levels toward AI development was conducted three phases, encompassing 627 university students from various faculties who have utilized tools such as ChatGPT during 2022–2023 academic year. To evaluate face content validity scale, input sought professionals with expertise field. initial sample group (n = 338) underwent exploratory factor analysis (EFA) explore underlying factors, while subsequent 250) confirmatory (CFA) for verification structure. Later, it seen that four factors comprising 20 items accounted 78.349% total variance due EFA. CFA results confirmed structure featuring (performance expectancy, effort facilitating conditions, social influence), compatible obtained data. Reliability yielded Cronbach's alpha coefficient 0.97, test–retest method demonstrated a reliability 0.95. discriminative power items, comparative between lower 27% upper participants, calculation corrected item-total correlations. demonstrate exhibits robust reliability, thus affirming its effectiveness measurement instrument.

Язык: Английский

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Shortcomings of ChatGPT

Journal of Chemical Education, Год журнала: 2023, Номер 100(8), С. 3098 - 3101

Опубликована: Июль 6, 2023

There appears to be little no discussion of the major shortcomings ChatGPT that are relevant chemical educators, students, and researchers. The performance ChatGPT, described in three recent papers J. Chem. Educ., was critically examined along with its on assignments a 100-level general education chemistry course for nonscience majors. ChatGPT’s possible role as an assistant searching literature biogeochemistry arsenic also examined. cannot perform mathematical operations reliably, makes conceptual errors, fabricates plausible-looking citations, purported contents which only partly accurate.

Язык: Английский

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The use of ChatGPT in teaching and learning: a systematic review through SWOT analysis approach

Frontiers in Education, Год журнала: 2024, Номер 9

Опубликована: Фев. 9, 2024

Introduction The integration of ChatGPT, an advanced AI-powered chatbot, into educational settings, has caused mixed reactions among educators. Therefore, we conducted a systematic review to explore the strengths and weaknesses using ChatGPT discuss opportunities threats in teaching learning. Methods Following PRISMA flowchart guidelines, 51 articles were selected 819 studies collected from Scopus, ERIC Google Scholar databases period 2022-2023. Results synthesis data extracted included revealed 32 topics including 13 strengths, 10 weaknesses, 5 4 We used Biggs’s Presage-Process-Product (3P) model learning categorize three components 3P model. Discussion In Presage stage, analyzed how interacts with student characteristics contexts ensure that technology adapts effectively diverse needs backgrounds. Process impacted activities determine its ability provide personalized, adaptive, effective instructional support. Finally, Product evaluated contributed outcomes. By carefully considering application each stage learning, educators can make informed decisions, leveraging addressing optimize processes.

Язык: Английский

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Comparing Student and Generative Artificial Intelligence Chatbot Responses to Organic Chemistry Writing-to-Learn Assignments

Journal of Chemical Education, Год журнала: 2023, Номер 100(10), С. 3806 - 3817

Опубликована: Сен. 7, 2023

Chemistry education research demonstrates the value of open-ended writing tasks, such as writing-to-learn (WTL) assignments, for supporting students' learning with topics including reasoning about reaction mechanisms. The emergence generative artificial intelligence (AI) technology, chatbots ChatGPT and Bard, raises concerns regarding tasks in classroom; one concern involves academic integrity whether students will use these to produce sufficient responses tasks. present study investigates degree which AI exhibit mechanistic response organic chemistry WTL assignments. We produced from three (ChatGPT-3.5, ChatGPT-4, Bard) two assignments developed elicit reasoning. Using previously reported machine models analyzing student we analyzed chatbot inclusion features pertinent Herein, report quantitative analyses (1) differences between on (2) authentic responses. Findings indicate that respond differently different Additionally, rarely incorporated discussion electron movement, a key feature Furthermore, chatbots, general, do not engage at same level students. contextualize results by considering assumption intentions are academically honest behavior, focus understanding ethical uses classroom

Язык: Английский

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