Results 191 to 200 of about 42,825 (282)

The Plagiarist in the Machine? Generative AI and the Will to Fail

open access: yesFuture Humanities, Volume 4, Issue 2, November 2026.
ABSTRACT This paper argues that the real challenge posed by Large Language Models (LLMs) in Higher Education lies not in their potential for plagiarism, but in their creation of a new form of writing that is indistinguishable in the traditional essay.
Matthew J. Barnard, Keith Crome
wiley   +1 more source

Plagiarism - How to Use and Read it. [PDF]

open access: yesJ Orthop Case Rep
Vatkar AJ, Kale S, Shyam A, Shinde S.
europepmc   +1 more source

From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development—An Opinion Paper

open access: yesApplied AI Letters, Volume 7, Issue 3, October 2026.
Professionals' insights on the use of large language models (LLMs) in software development. This abstract highlights how transformer‐based models enhance productivity, reduce coding time, and assist with tasks such as code generation, debugging, and documentation, while also emphasizing potential challenges including overdependence and ethical ...
Sargam Yadav   +13 more
wiley   +1 more source

Making regions and revolutions: whose ‘Gulf’?

open access: yes
Singapore Journal of Tropical Geography, EarlyView.
Isha Panwar
wiley   +1 more source

The Impact of ChatGPT on Higher Education: A Systematic Review of Global Opportunities, Perceptions, and Challenges

open access: yesJournal of Computer Assisted Learning, Volume 42, Issue 5, October 2026.
ABSTRACT Background The advent of artificial intelligence (AI) has fundamentally changed how education is delivered and how students perform. Since its launch, ChatGPT, a popular generative AI tool, has generated mixed reactions. Objectives This research systematically reviews the opportunities, perceptions, and challenges of using ChatGPT among ...
Olukayode Emmanuel Apata   +2 more
wiley   +1 more source

The scourge of plagiarism

open access: yesIndian Journal of Ophthalmology, 2006
Nayak Barun, Maniar Ranjit
openaire   +3 more sources

If You Really Want to Know How AI Is Changing Peer Review Talk to Early Career Researchers

open access: yesLearned Publishing, Volume 39, Issue 4, October 2026.
ABSTRACT The Harbingers study of early career researchers (ECRs), their work life and scholarly communications, began by studying generational—Millennial—change (H1 c.2016), then pandemic change (H2 c2020) and is now investigating yet another: artificial intelligence (H3 2024–).
David Nicholas   +9 more
wiley   +1 more source

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