Results 51 to 60 of about 187,687 (307)

Effects of generative artificial intelligence on cognitive effort and task performance: study protocol for a randomized controlled experiment among college students

Trials
Background The advancement of generative artificial intelligence (AI) has shown great potential to enhance productivity in many cognitive tasks. However, concerns are raised that the use of generative AI may erode human cognition due to over-reliance ...
Youjie Chen, Yingying Wang, Torsten Wüstenberg, Rene F. Kizilcec, Yiwen Fan, Yanfei Li, Bin Lu, Meng Yuan, Junlai Zhang, Ziyue Zhang, Pascal Geldsetzer, Simiao Chen, Till Bärnighausen   +12 more
doaj   +1 more source

Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning

Acta Informatica Pragensia
The integration of generative artificial intelligence (AI) into adaptive and personalized learning represents a transformative shift in the educational landscape.
Manel Guettala, Samir Bourekkache, Okba Kazar, Saad Harous   +3 more
doaj   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Proses Adopsi Teknologi Generative Artificial Intelligence dalam Dunia Pendidikan: Perspektif Teori Difusi Inovasi

Jurnal Pendidikan dan Kebudayaan
Penelitian ini bertujuan menganalisis proses yang dapat dilakukan dalam adopsi teknologi generative artificial Intelligence (AI) melalui perspektif teori difusi inovasi sehingga dapat memaksimalkan kebermanfaatannya.
Shiddiq Sugiono
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

AI Literacy: Principles for Ethical Generative Artificial Intelligence [PDF]

To realise the benefits of generative AI (GenAI) users, educational institutions, government, workplaces and developers need AI literacies incorporating principles to ensure the ethical and effective use, regulation and development of these technologies.
Eacersall, Douglas
core  

Navigating ethical challenges in generative AI-enhanced research: The ETHICAL framework for responsible generative AI use [PDF]

The rapid adoption of generative artificial intelligence (GenAI) in research presents both opportunities and ethical challenges that should be carefully navigated.
Eacersall, Douglas, Smirnov, Ivan, Pretorius, Lynette, Howell, Katharine A., Ling Thong, Chee, Stratton-Maher, Dianne, Thong, Chee Ling, Strydom, Sonja, Kamrowski, Ruth, Downie, Abigail, Simmons, Jonathan, Spray, Erika, Chugh, Ritesh, Illingworth, Sam, Jennings, Isaac, Roux, Rian   +15 more
core   +1 more source

Molecular property prediction in the ultra‐low data regime

Communications Chemistry
Data scarcity remains a major obstacle to effective machine learning in molecular property prediction and design, affecting diverse domains such as pharmaceuticals, solvents, polymers, and energy carriers.
Basem A. Eraqi, Dmitrii Khizbullin, Shashank S. Nagaraja, S. Mani Sarathy   +3 more
doaj   +1 more source

Preparing teachers for the algorithmic educational landscape: A critical mapping of generative AI integration in language teacher education

Technology in Language Teaching & Learning
The increasing integration of generative Artificial Intelligence (AI) tools, such as ChatGPT, in education has prompted growing interest in their pedagogical potential and the emergent competencies required for their effective use in language ...
Kadir Karakaya, Muhammet Furkan Alpat, Hasan Uçar, Özlem Karakaya, Aras Bozkurt   +4 more
doaj   +1 more source