Majd T Mrayyan
A comparative study of clinical leadership needs analysis (CLeeNa) as perceived by nurses
Journal of clinical nursing
synthetic review relevant related literatures ethics effects using ai education reveals five qualitatively distinct interrelated divides associated access representation algorithms interpretations citizenship open analysis probing ethical effects algorithms teams humans plan mitigate bias using ai tools techniques model inform instructional decisions predict learning outcomes analyze upstream divides feed fuel algorithmic divide first investigating access access hardware software connectivity necessary engage aienhanced digital learning tools platforms representation factors making data either representative total population overrepresentative subpopulations preferences thereby preventing objectivity biasing understandings outcomes analyze divides downstream algorithmic divide associated interpretation learners educators others understand outputs algorithms use make decisions citizenship divides accumulate impact interpretations data learners educators others turn influencing behaviors time skills culture economic health civic outcomes present lacking ongoing reflection action learners educators educational leaders designers scholars policymakers five divides collectively create vicious cycle perpetuate structural biases teaching learning however increasing human responsibility control divides create virtuous cycle improves diversity equity inclusion education conclude article looking forward discussing ways increase educational opportunity effectiveness mitigating bias cycle progressive improvement