AIMC Topic: Writing

Clear Filters Showing 1 to 10 of 184 articles

Predicting autism from written narratives using deep neural networks.

Scientific reports
Despite the heterogeneity of language and communication abilities within the autistic population, challenges associated with the pragmatic (social) use of speech remain consistently observable across the entire spectrum of autism. Therefore, the stud...

Dating ancient manuscripts using radiocarbon and AI-based writing style analysis.

PloS one
Determining by means of palaeography the chronology of ancient handwritten manuscripts such as the Dead Sea Scrolls is essential for reconstructing the evolution of ideas, but there is an almost complete lack of date-bearing manuscripts. To overcome ...

The Future of Scientific Writing: AI Tools, Benefits, and Ethical Implications.

Brazilian dental journal
Artificial Intelligence (AI) transforms scientific writing by improving efficiency, accessibility, and quality. This study evaluated the applications, benefits, and challenges of AI tools, including Elicit, Perplexity, Consensus, ChatGPT, and Grammar...

Using Generative Artificial Intelligence When Writing Letters of Recommendation.

Academic medicine : journal of the Association of American Medical Colleges
Artificial intelligence (AI) provides an opportunity to streamline tasks within academic medicine. Generative AI (genAI) models, specifically, have the capacity to generate new written content, follow detailed instructions for product improvement, an...

Using aggregated AI detector outcomes to eliminate false positives in STEM-student writing.

Advances in physiology education
Generative artificial intelligence (AI) large language models have become sufficiently accessible and user-friendly to assist students with course work, studying tactics, and written communication. AI-generated writing is almost indistinguishable fro...

Artificial intelligence in academic writing: Enhancing or replacing human expertise?

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
This letter discusses findings from a recent study comparing AI-generated and humanwritten neurosurgery articles. The study reveals that AI-generated articles exhibit higher readability scores (Lix: 35 vs. 26, Flesch-Kincaid: 10 vs. 8) but may lack d...

University students describe how they adopt AI for writing and research in a general education course.

Scientific reports
University students have begun to use Artificial Intelligence (AI) in many different ways in their undergraduate education, some beneficial to their learning, and some simply expedient to completing assignments with as little work as possible. This e...

Detecting Artificial Intelligence-Generated Versus Human-Written Medical Student Essays: Semirandomized Controlled Study.

JMIR medical education
BACKGROUND: Large language models, exemplified by ChatGPT, have reached a level of sophistication that makes distinguishing between human- and artificial intelligence (AI)-generated texts increasingly challenging. This has raised concerns in academia...

Exploring AI-Driven Feedback as a Cultural Tool: A Cultural-Historical Perspective on Design of AI Environments to Support Students' Writing Process.

Integrative psychological & behavioral science
This study draws on the cultural-historical perspectives of Vygotsky and Galperin to examine the role of AI-generated feedback within the Assessment for Learning (AfL) process in fostering students' development as learners. By leveraging Galperin's c...

Empowering medical students with AI writing co-pilots: design and validation of AI self-assessment toolkit.

BMC medical education
BACKGROUND AND OBJECTIVES: Assessing and improving academic writing skills is a crucial component of higher education. To support students in this endeavor, a comprehensive self-assessment toolkit was developed to provide personalized feedback and gu...