Stella T Kanyesigye, Jean Uwamahoro, Imelda Kemeza
Effect of problem-based learning on students' attitude towards learning physics: a cohort study
F1000Research
rapid recent advances information technology opened door artificial intelligence airelated technologies applied extensively across many industries ministry education emphasized importance cultivating advancedlevel professionals diverse fields particularly smart machinery asiasilicon valley sector green energy technology biotechnology national defense new agricultural circular economy industries enhance innovation promote industrial competitiveness kuo 2019 interdisciplinary talent ai digital innovation actively developed elsewhere nursing education remains exploratory phase ai digital technology talent cultivation although ai wellknown term competencies required application nursing remain unclear moreover nursing professionals unfamiliar best integrate ai nursing expertise practice settings application ai healthcare industry unstoppable vital consider help nursing students adapt healthcares new technology landscape huang et al 2021 ai facilitates digital simulation human thought patterns logic behaviors goal assisting human users solve problems especially timeconsuming require repetitive processing development ai requires interdisciplinary collaboration among domain experts data scientists software engineers robotics experts computer programmers collaboration essential developing products able meet demands times help students become competent future nursing professionals murray 2018 nurses spend time interacting patients thus best able understand perceptions challenges patients families collaborating professionals interdisciplinary fields best strategy achieving optimal healthcare outcomes however nursing schools yet provide clear response impact ai nursing education nursing educational institutions must enable nursing students comprehend concepts principles ai equip ai literacy allow unleash potential continuously innovate stay abreast times ng et al 2021 issue experts scholars currently engaged airelated research nursing discipline share research findings realms machine learning deep learning emotional recognition natural language application articles offer insights implications ai suggest nursing education may best respond emerging ai trends provide authors perspectives nursing education reform editor hopes readers inspired explore new concepts gain deeper understanding application significance ai apply ai address clinical educational challenges foster competent nursing professionals tomorrow