Department of Psychology, Friedrich-Alexander University Erlangen-Nuremberg, Nuremberg, Germany.
Department of Educational Sciences, University of Regensburg, Regensburg, Germany.
Ann N Y Acad Sci. 2019 Jun;1445(1):39-51. doi: 10.1111/nyas.14018. Epub 2019 Mar 15.
System theories postulate that a system needs resources in order to evolve and function as an entirety. According to the actiotope model of giftedness, exogenous and endogenous resources needed to develop excellence include five forms of educational capital (economic, cultural, social, infrastructural, and didactic) and five forms of learning capital (organismic, telic, actional, episodic, and attentional), independent of domain and level of talent development. In three studies, we addressed several blind spots in the empirical basis of the educational and learning capital (ELC) approach. The studies were conducted in different domains, with different samples, and on various levels of talent development, as well as with regard to different functions for which resources can be used. Study 1, comprising 365 sixth graders, showed that ELC have an incremental validity beyond IQ for predicting scholastic achievement. In study 2 with 90 women holding a university degree in science, technology, engineering, and mathematics (STEM), we provide evidence that in the collegiate actiotopes of women who were later successful in STEM, more ELC had been available and was used to serve different functions than in the actiotopes of less successful women in STEM. In study 3 with 74 long-distance runners, we found a similar pattern of results for different achievement levels in an athletics domain.
系统理论假定,系统需要资源才能发展并作为整体发挥功能。根据天赋的动作场模型,发展卓越所需的外生和内生资源包括五种形式的教育资本(经济、文化、社会、基础设施和教学)和五种形式的学习资本(机体、目的、行动、情节和注意),与领域和人才发展水平无关。在三项研究中,我们解决了教育和学习资本(ELC)方法实证基础中的几个盲点。这些研究在不同领域进行,使用不同的样本,针对不同水平的人才发展,以及针对可以用于不同功能的资源。第一项研究包括 365 名六年级学生,表明 ELC 在预测学业成绩方面具有超越智商的增量有效性。第二项研究涉及 90 名拥有科学、技术、工程和数学(STEM)大学学位的女性,我们提供的证据表明,在后来在 STEM 领域取得成功的女性的大学生动作场中,有更多的 ELC 可用,并用于服务不同的功能,而在 STEM 领域不太成功的女性的动作场中则没有。第三项研究涉及 74 名长跑运动员,我们在运动领域针对不同的成就水平发现了类似的结果模式。