generative ai

SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval

Decoding brain activity into natural language is a major challenge in AI with important applications in assistive communication, neurotechnology, and human–computer interaction. Most existing Brain–Computer Interface (BCI) approaches rely on memory-intensive fine-tuning of Large Language Models (LLMs) or encoder–decode...

Structured PREreview of "Epidemiology and Antimicrobial Susceptibility Patterns of Staphylococcus aureus Isolates from Clinical Specimens at Meru Teaching and Referral Hospital, Kenya"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23111619. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat inappropriate...

Exploring the experiences of medical sciences faculty members and students in using artificial intelligence applications: a qualitative descriptive study

Abstract Background The rapid emergence of generative artificial intelligence (AI) is reshaping medical education worldwide. However, existing studies are predominantly quantitative and Western-centric providing limited empirical evidence regarding how medical sciences faculty members and students experience and interp...

Structured PREreview of "Epidemiology and Antimicrobial Susceptibility Patterns of Staphylococcus aureus Isolates from Clinical Specimens at Meru Teaching and Referral Hospital, Kenya"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23111619. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat inappropriate...

Generative AI in Bangladeshi EFL assignment writing: Academic integrity, learner responsibility, and pedagogical implications

Competing for attention: Exploring the impact of video cover features on clicks with machine learning and generative AI

The role of GenAI in learning Chinese as a foreign language: perspectives from university students in Ireland

Abstract Generative AI (GenAI) is reshaping language education and continues to shape how learners access, produce and evaluate knowledge. Its application in learning Chinese as a Foreign Language (CFL) in Ireland, however, remains limited and underexplored. This study investigates how university students in Ireland en...

Evaluation of an Artificial Intelligence–Driven Language Model for Age-Specific Patient Education in Pediatric Orthopaedics

GenAI LLMs can generate age-specific explanations for common surgical procedures, treatments, and diagnostic markers in pediatric orthopaedics using an artificial intelligence language model based on the child's age.

SUN’IY INTELLEKTNI TA’LIM JARAYONIGA INTEGRATSIYA QILISH: IMKONIYATLAR VA XAVF-HATARLAR

The results demonstrate that methodologically regulated ai integration enhances learning quality, provided there is ongoing monitoring, clear assessment criteria, and established rules of academic integrity.

SUN’IY INTELLEKT VOSITALARI ASOSIDA MUSIQA TA’LIMI O‘QITUVCHILARINING KASBIY KOMPETENSIYALARINI RIVOJLANTIRISH

The didactic possibilities of generative music systems, intelligent music notation editors, and audio processing platforms are revealed and criteria for assessing the digital, technological, and methodological competencies of music teachers are proposed.

INKLYUZIV TA’LIM MUHITIDA GENERATIV AI VOSITALARI YORDAMIDA INGLIZ TILINI O‘QITISH METODIKASINI TAKOMILLASHTIRISH

The study analyzes the potential of generative AI technologies to address students' individual learning needs, differentiate instructional materials, develop English language skills (lexical, grammatical, communicative, and receptive-productive), provide immediate feedback, and support independent learning. The methodo...

BEYOND DETECTION: A HUMAN-CENTERED APPROACH TO INTEGRITY IN THE AGE OF GENAI

This preliminary study explores a human-centred approach to assessing suspected GenAI-assisted writing and examines how human-led evaluation practices offer a more context-sensitive alternative to automated detection tools.