Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

May 3, 2024


Pages


DOI

Article

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

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Authors

Zhenzhong Qiu Affiliation:
NanChang HangKong University, Nanchang, Jiangxi, 330063, China.


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.


Keywords

Ternary reciprocity, Cognitive behavior, Evaluation index system, Fuzzy comprehensive evaluation, Innovative talent cultivation, 30B30


Citation

Qiu, Z. (2024). Constructing early strategies for cultivating innovative talents based on cognitive behavioral characteristics. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0929

Published by: Engineering Journals

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