{"title":"The most important attributes for talented students who want to be scientists","authors":"John J. Szabo, Habil György Révész, D. Van-Dyke","doi":"10.1177/0261429420947092","DOIUrl":null,"url":null,"abstract":"This study aims to assess the views of Hungarian professors/associate professors regarding important student factors at the beginning of their scientific and academic careers. Two hundred seventy-three university faculty members who work with high-achieving students (e.g., gifted, honors) completed a questionnaire regarding the attributes of gifted students. The study highlights similarities and differences among these Hungarian faculty opinions on student attributes. Data was analyzed for talent-attributes with a logistic regression to discern the differences among different scientific disciplines (medicine, humanities, economics). A one way ANOVA model was used and indicated no difference between traits based on scientific discipline (F = 1.023; df = 5; p > 0.05). The conclusions of this research highlight key attributes of Hungarian honor students identified by Hungarian university teachers and these attributes are closer than we hypothesized related across scientific disciplines.","PeriodicalId":186980,"journal":{"name":"Gifted Education International","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gifted Education International","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0261429420947092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This study aims to assess the views of Hungarian professors/associate professors regarding important student factors at the beginning of their scientific and academic careers. Two hundred seventy-three university faculty members who work with high-achieving students (e.g., gifted, honors) completed a questionnaire regarding the attributes of gifted students. The study highlights similarities and differences among these Hungarian faculty opinions on student attributes. Data was analyzed for talent-attributes with a logistic regression to discern the differences among different scientific disciplines (medicine, humanities, economics). A one way ANOVA model was used and indicated no difference between traits based on scientific discipline (F = 1.023; df = 5; p > 0.05). The conclusions of this research highlight key attributes of Hungarian honor students identified by Hungarian university teachers and these attributes are closer than we hypothesized related across scientific disciplines.