Esther P Black, Mandy Jones, Mikael Jones, Houston Williams, Ellen Julian, Danielle R Wilson
Validation of Longitudinal Progression Examinations for Prediction of APPE Readiness
American journal of pharmaceutical education
educators commenters evaluate big datadriven learning environments focus specific questions whether automated education platforms improve learning outcomes invade student privacy promote equality article puts aside separate unresolvedand perhaps unresolvableissues regarding concrete effects specific technologies instead examines big datadriven tools alter structure schools pedagogical decisionmaking change fundamental aspects americas education enterprise technological mediation datadriven decisionmaking particularly significant impact learning environments education process primarily consists dynamic information exchange overview highlight three significant structural shifts accompany school reliance datadriven instructional platforms perform core school functions teaching assessment credentialing first virtual learning environments create information technology infrastructures featuring constant data collection continuous algorithmic assessment possibly infinite record retention undermines traditional intellectual privacy safety classrooms second systems displace pedagogical decisionmaking educators serving public interests private often forprofit technology providers constrain teachers academic autonomy obscure student evaluation reduce parents students ability participate challenge education decisionmaking third big datadriven tools define counts education mapping concepts creating content determining metrics setting desired learning outcomes instruction shifts cede important decisionmaking private entities without public scrutiny pedagogical examination contrast public heated debates accompany textbook choices schools often adopt education technologies ad hoc given educations crucial impact individual collective success educators policymakers must consider implications datadriven education proactively explicitly