The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review

Smart Learning Environments, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 18, 2024

Abstract The growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance learning aids. Despite examination ethical concerns associated with these technologies, there is a noticeable gap in investigations on how issues AI contribute to students’ over-reliance systems, such affects cognitive abilities. Overreliance occurs when users accept AI-generated recommendations without question, leading errors task performance context decision-making. This typically arises individuals struggle assess reliability or much trust place its suggestions. systematic review investigates particularly those embedded generative models for academic learning, their critical capabilities including decision-making, thinking, analytical reasoning. By using Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, our evaluated body literature addressing contributing factors effects contexts. comprehensive spanned 14 articles retrieved from four distinguished databases: ProQuest, IEEE Xplore, ScienceDirect, Web Science. Our findings indicate that stemming impacts abilities, as increasingly favor fast optimal solutions over slow ones constrained by practicality. tendency explains why prefer efficient shortcuts, heuristics, even amidst presented technologies.

Language: Английский

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Navigating the Ethical Frontier: Graduate Students’ Experiences with Generative AI-Mediated Scholarship

International Journal of Artificial Intelligence in Education, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Language: Английский

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<strong>Generative Artificial Intelligence, AI for Scientific Writing: A Literature Review</strong>

Published: June 3, 2024

The growing usage of Generative AI tools in scientific writing requires a critical examination their benefits and challenges. This literature review is aimed at comprehensively analyzing current empirical research articles focused on the application writing. Google Scholar database was used to search for literature. following keywords were used: "Generative AI" "academic writing", "LLM" (Large Language Models) "Scientific "ChatGPT" Writing". restricted published between January 1, 2023, April 30, 2024. 15 selected as appropriate study analyzed. It found that, thus far, ChatGPT most exploited tool studies. such Bard (Gemini), Bing, Claude2, Elicit also tested. be omnipresent. can aid generation structured abstracts, titles, introductions, reviews, conclusions article. makes more efficient time-saving. Its capabilities improving language proofreading are well-established. However, inaccurate content references by commercially available LLMs poses serious problem. lack thinking tendency produce non-original significant drawbacks. should employed with human oversight, serving an assistant rather than replacement. Transparency essential, along necessity proper legal regulation.

Language: Английский

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Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence

Molecules, Journal Year: 2024, Volume and Issue: 29(19), P. 4626 - 4626

Published: Sept. 29, 2024

The field of computational protein engineering has been transformed by recent advancements in machine learning, artificial intelligence, and molecular modeling, enabling the design proteins with unprecedented precision functionality. Computational methods now play a crucial role enhancing stability, activity, specificity for diverse applications biotechnology medicine. Techniques such as deep reinforcement transfer learning have dramatically improved structure prediction, optimization binding affinities, enzyme design. These innovations streamlined process allowing rapid generation targeted libraries, reducing experimental sampling, rational tailored properties. Furthermore, integration approaches high-throughput techniques facilitated development multifunctional novel therapeutics. However, challenges remain bridging gap between predictions validation addressing ethical concerns related to AI-driven This review provides comprehensive overview current state future directions engineering, emphasizing their transformative potential creating next-generation biologics advancing synthetic biology.

Language: Английский

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Artificial intelligence in nursing education: Prospects and pitfalls

Journal of Advanced Nursing, Journal Year: 2024, Volume and Issue: 80(10), P. 3883 - 3885

Published: June 12, 2024

Language: Английский

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The Impact of Artificial Intelligence on Medical Article Writing: A Boon or a Bane?

Journal of Orthopaedics, Journal Year: 2024, Volume and Issue: 63, P. 98 - 100

Published: Oct. 31, 2024

Language: Английский

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The transformative impact of large language models on medical writing and publishing: current applications, challenges and future directions

Korean Journal of Physiology and Pharmacology, Journal Year: 2024, Volume and Issue: 28(5), P. 393 - 401

Published: Aug. 29, 2024

Large language models (LLMs) are rapidly transforming medical writing and publishing. This review article focuses on experimental evidence to provide a comprehensive overview of the current applications, challenges, future implications LLMs in various stages academic research publishing process. Global surveys reveal high prevalence LLM usage scientific writing, with both potential benefits challenges associated its adoption. have been successfully applied literature search, design, assistance, quality assessment, citation generation, data analysis. also used peer publication processes, including manuscript screening, generating comments, identifying biases. To ensure integrity scholarly work era LLM-assisted research, responsible artificial intelligence (AI) use is crucial. Researchers should prioritize verifying accuracy reliability AI-generated content, maintain transparency LLMs, develop collaborative human-AI workflows. Reviewers focus higher-order reviewing skills be aware manuscripts. Editorial offices clear policies guidelines AI foster open dialogue within community. Future directions include addressing limitations biases exploring innovative continuously updating practices response technological advancements. Collaborative efforts among stakeholders necessary harness transformative while maintaining

Language: Английский

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Response to "The Application of ChatGPT in the Peer-Reviewing Process"

Oral Oncology Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100709 - 100709

Published: Jan. 1, 2025

Language: Английский

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Opportunities and Challenges of Embedding AI in SINTA: A Systematic Literature Review

Metris Jurnal Sains dan Teknologi, Journal Year: 2025, Volume and Issue: 25(02), P. 115 - 121

Published: Jan. 14, 2025

The incorporation of Artificial Intelligence (AI) into Indonesia's Science and Technology Index (SINTA) offers both significant opportunities challenges for advancing research management, evaluation, development. This paper examines the advantages embedding AI SINTA, such as ability to automate identification predatory journals, provide personalized recommendations, enhance accuracy institutional rankings. Furthermore, can help analyze citation trends, streamline peer review process, detect plagiarism or other forms academic misconduct. However, this integration also brings several obstacles, including need ensure high-quality data, uphold transparency fairness in AI-driven outcomes, protect data privacy, address substantial technological investments required. While holds potential greatly strengthen SINTA a platform overseeing supporting activities Indonesia, overcoming these is critical its effective implementation. study concludes that, with proper oversight investment, integrating could significantly boost country's ecosystem, fostering greater innovation scientific productivity.

Language: Английский

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The Utilization of Artificial Intelligence in Higher Education Institutions in Germany

Advances in educational technologies and instructional design book series, Journal Year: 2025, Volume and Issue: unknown, P. 321 - 358

Published: Jan. 3, 2025

This part analyzes the integration of Artificial Intelligence (AI) in German Higher Education Institutions (HEIs), highlighting its transformative potential and associated challenges. AI technologies are increasingly employed to enhance teaching, streamline administration, accelerate research. Despite their benefits, concerns regarding transparency, equity, data privacy, accountability raised. Anticipated European regulations, such as proposed Act, expected further shape application academia. Using empirical case studies from universities, this manuscript illustrates successful while addressing challenges balancing innovation with ethical legal considerations. The concludes strategic recommendations for policymakers, educators, technology developers promote responsible adoption, emphasizing importance frameworks, human oversight, interdisciplinary collaboration. study provides valuable insights into current future landscape HEIs.

Language: Английский

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