Friederike Holderried, Christian Stegemann-Philipps, Lea Herschbach, Julia-Astrid Moldt, Andrew Nevins, Jan Griewatz, Martin Holderried, Anne Herrmann-Werner, Teresa Festl-Wietek, Moritz Mahling
A Generative Pretrained Transformer (GPT)-Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study
JMIR medical education
tracking educational progress sample baltimore schoolchildren entrance first grade fall 1982 early spring 1996 authors examined childrens personal qualities firstgrade experiences family circumstances precursors high school dropout logistic regression analyses used identify predictors dropout involving family context measures stressful family changes parents attitudes parents socialization practices childrens personal resources attitudes behaviors school experiences test scores marks track placements various measures found influence dropout independently sociodemographic factors account much difference odds dropout associated family socioeconomic status gender family type risk factors authors take lifecourse perspective dropout viewing culmination longterm process academic disengagement