The use of ChatGPT in the digital era: Perspectives on chatbot implementation

Journal of Applied Learning & Teaching, Journal Year: 2023, Volume and Issue: 6(1)

Published: May 25, 2023

The rapid advancement of technology has led to the integration ChatGPT, an artificial intelligence (AI)-powered chatbot, in various sectors, including education. This research aims explore perceptions educators and students on use ChatGPT education during digital era. study adopted a qualitative approach, using in-depth interviews gather data. A purposive sampling technique was used select ten 15 from different academic institutions Krabi, Thailand. data collected analysed content analysis NVivo. findings revealed that generally have positive perception chatbot perceived be helpful tool for providing immediate feedback, answering questions, support students. Educators noted could reduce their workload by routine questions enabling them focus higher-order tasks. However, also showed some concerns regarding Participants were worried about accuracy information provided potential loss personal interaction with teachers. need privacy security raised as significant concern. results this help policymakers make informed decisions

Language: Английский

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Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework

Technology in Society, Journal Year: 2023, Volume and Issue: 75, P. 102362 - 102362

Published: Sept. 14, 2023

Language: Английский

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A Survey on ChatGPT: AI–Generated Contents, Challenges, and Solutions

IEEE Open Journal of the Computer Society, Journal Year: 2023, Volume and Issue: 4, P. 280 - 302

Published: Jan. 1, 2023

With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-generated content (AIGC) has garnered increasing attention and is leading a paradigm shift in creation knowledge representation. AIGC uses generative AI algorithms to assist or replace humans creating massive, high-quality, human-like at faster pace lower cost, based on user-provided prompts. Despite recent significant progress AIGC, security, privacy, ethical, legal challenges still need be addressed. This paper presents an in-depth survey working principles, security privacy threats, state-of-the-art solutions, future paradigm. Specifically, we first explore enabling technologies, general architecture discuss its modes key characteristics. Then, investigate taxonomy threats highlight ethical societal implications GPT technologies. Furthermore, review watermarking approaches for regulatable paradigms regarding model produced content. Finally, identify open research directions related AIGC.

Language: Английский

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A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour

International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)

Published: Jan. 19, 2024

Abstract Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as research domain, never before rapid evolution AI applications education sparked such prominent public discourse. Given already rapidly growing AIEd literature base higher education, now is time to ensure that solid and conceptual grounding. This review reviews first comprehensive meta explore scope nature (AIHEd) research, by synthesising secondary (e.g., systematic reviews), indexed Web Science, Scopus, ERIC, EBSCOHost, IEEE Xplore, ScienceDirect ACM Digital Library, or captured through snowballing OpenAlex, ResearchGate Google Scholar. Reviews were included if they synthesised solely formal continuing published English between 2018 July 2023, journal articles full conference papers, had method section 66 publications for data extraction synthesis EPPI Reviewer, which predominantly (66.7%), authors from North America (27.3%), conducted teams (89.4%) mostly domestic-only collaborations (71.2%). Findings show these focused on AIHEd generally (47.0%) Profiling Prediction (28.8%) thematic foci, however key findings indicated predominance use Adaptive Systems Personalisation education. Research gaps identified suggest need greater ethical, methodological, contextual considerations within future alongside interdisciplinary approaches application. Suggestions are provided guide primary research.

Language: Английский

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A Comprehensive Study of ChatGPT: Advancements, Limitations, and Ethical Considerations in Natural Language Processing and Cybersecurity

Information, Journal Year: 2023, Volume and Issue: 14(8), P. 462 - 462

Published: Aug. 16, 2023

This paper presents an in-depth study of ChatGPT, a state-of-the-art language model that is revolutionizing generative text. We provide comprehensive analysis its architecture, training data, and evaluation metrics explore advancements enhancements over time. Additionally, we examine the capabilities limitations ChatGPT in natural processing (NLP) tasks, including translation, text summarization, dialogue generation. Furthermore, compare to other generation models discuss applicability various tasks. Our also addresses ethical privacy considerations associated with provides insights into mitigation strategies. Moreover, investigate role cyberattacks, highlighting potential security risks. Lastly, showcase diverse applications different industries evaluate performance across languages domains. offers exploration ChatGPT’s impact on NLP field.

Language: Английский

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A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities

Journal of Economy and Technology, Journal Year: 2023, Volume and Issue: 1, P. 127 - 143

Published: Aug. 24, 2023

ChatGPT is an Artificial Intelligence (AI)-powered Natural Language Processing (NLP) tool that comprehends and produces text in response to given commands. It can be adopted for various requirements, like answering our inquiries, assisting us with content creation, translating languages, more. The fourth industrial revolution, called "Industry 4.0," denotes a new production age focused on automation, digitalisation, real-time connectivity of systems. help Industry 4.0 variety ways. AI-driven process optimisation poised revolutionise by enhancing productivity, quality assurance, efficiency. For developing this paper, articles ChatGPT/ AI were identified through Scopus, ScienceDirect, Google Scholar ResearchGate. progresses due the incorporation cutting-edge technology AI, Machine Learning (ML), NLP Manufacturing operations are changing. language model becoming well-known daily use because its promising applications. In framework 4.0, it promises processes assist advancement boosting business productivity This paper studies major need 4.0. Various associated features, traits versatile competencies briefed. Finally, identifies discusses significant applications very flexible efficient method creating human-machine interfaces automatically generating text, which provides proper knowledge guidance employee. Applications include chatbots, virtual assistants, automated customer care, translation, production. future, will become effective communication automating

Language: Английский

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Chatbots, generative AI, and scholarly manuscripts

Colombia medica, Journal Year: 2023, Volume and Issue: 54(3), P. e1015868 - e1015868

Published: Dec. 1, 2023

This statement revises our earlier “WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications” (January 20, 2023). The revision reflects the proliferation of chatbots their expanding use scholarly publishing over last few months, as well emerging concerns regarding lack authenticity content when using chatbots. These recommendations are intended inform editors help them develop policies for papers published journals. They aim authors reviewers understand how best attribute work address need all journal have access manuscript screening tools. In this rapidly evolving field, we will continue modify these software its applications develop.

Language: Английский

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Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects

Published: Nov. 16, 2023

<p>Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. models are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, question-answering. This survey paper provides comprehensive overview LLMs, their history, architecture, training methods, applications, challenges. The begins by discussing fundamental concepts generative AI architecture pre- trained transformers (GPT). It then an history evolution over time, different methods been used train them. discusses applications medical, education, finance, engineering. also how LLMs shaping future they can be solve real-world problems. challenges associated with deploying scenarios, ethical considerations, model biases, interpretability, computational resource requirements. highlights techniques enhancing robustness controllability addressing bias, fairness, generation quality issues. Finally, concludes highlighting LLM research need addressed order make more reliable useful. is intended provide researchers, practitioners, enthusiasts understanding evolution, By consolidating state-of-the-art knowledge field, this serves valuable further advancements development utilization applications. GitHub repo project available at https://github.com/anas-zafar/LLM-Survey</p>

Language: Английский

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Deep transfer learning for automatic speech recognition: Towards better generalization

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 277, P. 110851 - 110851

Published: July 29, 2023

Language: Английский

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The influence of ChatGPT on student engagement: A systematic review and future research agenda

Computers & Education, Journal Year: 2024, Volume and Issue: 219, P. 105100 - 105100

Published: June 8, 2024

ChatGPT, a state-of-the-art artificial intelligence (AI) chatbot, has gained considerable attention as transformative yet controversial tool for enhancing teaching and learning experiences. Several reviews numerous articles have been written about harnessing ChatGPT in education since its release on November 30, 2022. Besides summarising strengths, weaknesses, opportunities, threats (SWOT) identified previous systematic of research, this review aims to develop new understanding influence student engagement by synthesising the existing related research using three-dimensional framework comprising behavioural, emotional, cognitive aspects. We searched relevant databases included 72 empirical studies published within one year ChatGPT's initial release. The findings reveal robust but narrowly focused evidence behavioural (i.e., work with ChatGPT) disengagement academic dishonesty). emotional aspect is mixed, instances both (e.g., satisfaction interest/fun) disappointment worry/anxiety). There broad weak regarding increased positive self-perception) reduced critical thinking overreliance). Our uncovers several under-explored indicators engagement, pointing need further research. Specifically, future could focus students' study habits attendance (behavioural engagement), social interaction (emotional self-regulation (cognitive engagement) ChatGPT-supported environments.

Language: Английский

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