New AI Framework Puts Students, Not Algorithms, at the Heart of University Admissions
A new conceptual framework proposes five governance dimensions for making AI-driven university admissions transparent, equitable, and centred on learner agency.
A new conceptual framework proposes five governance dimensions for making AI-driven university admissions transparent, equitable, and centred on learner agency.
MIT researchers have developed HardFlow, a plug-and-play algorithm that lets pretrained generative AI models satisfy strict safety and physical constraints ...
A University of Konstanz study of 1,105 German employees finds that workplace AI use has risen only slightly to 38 ...
A qualitative study of medical sciences faculty and students in Iran reveals that AI use in education is conditional, shaped ...
Researchers have used conditional generative diffusion models to complete truncated X-ray projection data, substantially reducing artifacts in cone-beam CT reconstructions.
A study of an AI teaching assistant called Blueink in a Chinese medical university's biochemistry course found that students grew ...
A new case study of the Financial Times reveals that AI transparency in journalism operates as a shifting spectrum of ...
JMIR Cardio has launched a new peer-reviewed section inviting research on generative and multimodal AI in cardiovascular medicine, prioritizing clinical ...
A new framework published in AI & Society organizes AI governance around six interdependent axes, offering a profile-based, evidence-sensitive alternative ...
A new study finds that while graduate students reported highly positive experiences with course-specific AI tutors, large language models asked ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine