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Talent Development in Achievement Domains: A Psychological Framework for Within- and Cross-Domain Research
Franzis Preckel1, Jessika Golle2, Roland Grabner3
1Department of Psychology, University of Trier.
A new talent-development-in-achievement-domains (TAD) framework offers a unified approach to studying achievement across various fields like academics and arts. This framework guides research on measurable psychological constructs for better understanding talent development.
Area of Science:
- Psychology
- Educational Psychology
- Talent Development Studies
Background:
- Achievement across domains like academics, music, and arts is crucial in modern societies.
- Existing psychological models explain domain-specific achievement but lack a unifying framework.
- A need exists for a general framework to guide empirical research within and across diverse achievement domains.
Purpose of the Study:
- Introduce the talent-development-in-achievement-domains (TAD) framework as a general model for talent development.
- Provide a framework to support empirical research by focusing on measurable psychological constructs.
- Facilitate the construction of domain-specific talent development models.
Main Methods:
- The study presents a theoretical framework (TAD) applicable to various achievement domains.
- It reviews the application of the TAD framework to specific domains: mathematics, music, and visual arts.
- The review highlights research gaps and future research directions.
Main Results:
- The TAD framework is presented as a versatile tool for studying talent development.
- Examples demonstrate its applicability in constructing domain-specific models for mathematics, music, and visual arts.
- The review identifies numerous research gaps and open questions.
Conclusions:
- The TAD framework is suitable for domain-specific model construction in talent development research.
- It offers a unified approach to understanding psychological constructs across different achievement domains.
- Future research should address identified gaps to further refine and apply the TAD framework.
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