<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The quest for innovative talent is more than an academic pursuit; it’s a strategic imperative for nations aiming to enhance their core competitiveness. Central to this quest is the early development of students’ scientific literacy, a focus grounded in cognitive behavior theory and enriched by the concept of ternary reciprocity. Our study introduces a novel approach to understanding and cultivating innovative talents, integrating a cognitive behavior system model to identify key influencing factors. Employing a fuzzy comprehensive evaluation method, we developed and tested an innovative talent cultivation strategy, yielding significant results: strategy effectiveness scores range from 2.1 to 2.3 for primary indicators and 1.8 to 2.3 for secondary indicators, with all indices showing statistically significant improvements (p &lt; 0.05) when our strategies are applied. This research not only evidences the potency of our approach but also contributes actionable insights and methodologies for future innovative talent development.</p>
</abstract>

The quest for innovative talent is more than an academic pursuit; it’s a strategic imperative for nations aiming to enhance their core competitiveness. Central to this quest is the early development of students’ scientific literacy, a focus grounded in cognitive behavior theory and enriched by the concept of ternary reciprocity. Our study introduces a novel approach to understanding and cultivating innovative talents, integrating a cognitive behavior system model to identify key influencing factors. Employing a fuzzy comprehensive evaluation method, we developed and tested an innovative talent cultivation strategy, yielding significant results: strategy effectiveness scores range from 2.1 to 2.3 for primary indicators and 1.8 to 2.3 for secondary indicators, with all indices showing statistically significant improvements (p < 0.05) when our strategies are applied. This research not only evidences the potency of our approach but also contributes actionable insights and methodologies for future innovative talent development.

Constructing Early Strategies for Cultivating Innovative Talents Based on Cognitive Behavioral Characteristics

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The quest for innovative talent is more than an academic pursuit; it’s a strategic imperative for nations aiming to enhance their core competitiveness. Central...

Constructing Early Strategies for Cultivating Innovative Talents Based on Cognitive Behavioral Characteristics

Published Online: May 03, 2024

Page range: -

Received: Mar 28, 2024

Accepted: Apr 15, 2024

DOI: https://doi.org/10.2478/amns-2024-0929

Keywords
Ternary reciprocity, Cognitive behavior, Evaluation index system, Fuzzy comprehensive evaluation, Innovative talent cultivation

© 2024 Zhenzhong Qiu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Constructing Early Strategies for Cultivating Innovative Talents Based on Cognitive Behavioral Characteristics

Published Online: May 03, 2024

Page range: -

Received: Mar 28, 2024

Accepted: Apr 15, 2024

DOI: https://doi.org/10.2478/amns-2024-0929

KeywordsTernary reciprocity, Cognitive behavior, Evaluation index system, Fuzzy comprehensive evaluation, Innovative talent cultivation

© 2024 Zhenzhong Qiu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Ternary reciprocity, Cognitive behavior, Evaluation index system, Fuzzy comprehensive evaluation, Innovative talent cultivation