Literature DB >> 32196409

Talent Development in Achievement Domains: A Psychological Framework for Within- and Cross-Domain Research.

Franzis Preckel1, Jessika Golle2, Roland Grabner3, Linda Jarvin4, Aaron Kozbelt5, Daniel Müllensiefen6, Paula Olszewski-Kubilius7, Wolfgang Schneider8, Rena Subotnik9, Miriam Vock10, Frank C Worrell11.   

Abstract

Achievement in different domains, such as academics, music, or visual arts, plays a central role in all modern societies. Different psychological models aim to describe and explain achievement and its development in different domains. However, there remains a need for a framework that guides empirical research within and across different domains. With the talent-development-in-achievement-domains (TAD) framework, we provide a general talent-development framework applicable to a wide range of achievement domains. The overarching aim of this framework is to support empirical research by focusing on measurable psychological constructs and their meaning at different levels of talent development. Furthermore, the TAD framework can be used for constructing domain-specific talent-development models. With examples for the application of the TAD framework to the domains of mathematics, music, and visual arts, the review provided supports the suitability of the TAD framework for domain-specific model construction and indicates numerous research gaps and open questions that should be addressed in future research.

Entities:  

Keywords:  achievement; domain specificity; education; expertise; giftedness; talent development

Mesh:

Year:  2020        PMID: 32196409     DOI: 10.1177/1745691619895030

Source DB:  PubMed          Journal:  Perspect Psychol Sci        ISSN: 1745-6916


  3 in total

1.  Do Faculty Members Apply the Standards for Developing Gifted Students at Universities? An Exploratory Study.

Authors:  Fathi Abunasser; Rommel AlAli
Journal:  Eur J Investig Health Psychol Educ       Date:  2022-06-02

2.  Systematic Literature Review: Professional Situation of Gifted Adults.

Authors:  Maren Schlegler
Journal:  Front Psychol       Date:  2022-05-18

3.  Talent Cultivation of New Ventures by Seasonal Autoregressive Integrated Moving Average Back Propagation Under Deep Learning.

Authors:  Fanshen Han; Chenxi Zhang; Delong Zhu; Fengrui Zhang
Journal:  Front Psychol       Date:  2022-03-24
  3 in total

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