量化生态智能:构建绿色大脑资本模型的指标——系统回顾。

IF 4.9 0 PSYCHIATRY
Omnia Mahmoud Abdelraheem, Burcin Ikiz, Sungsoo Chun, Harris Eyre, Mohamed Salama
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引用次数: 0

摘要

问:绿色大脑资本模型强调大脑健康和环境之间的双向关系,使其成为一种以环境为重点的大脑资本。这项工作代表了绿色大脑资本模型概念化的初始阶段,这对于在开发定量模型时避免歧义和误解至关重要。在文献中,生态智能(EI)被认为是该模型的关键组成部分。因此,本综述的目的是系统地回顾文献,以定义EI,其特征和定量评估工具,以制定绿色大脑资本的综合指标。研究选择和分析:我们在Scopus、ScienceDirect和Scopus二手文献中进行了检索,并确定了11篇提供EI定义和定量评估工具的文章。研究发现:情商是一个包含认知、情感和行为领域的多层面概念。本文确定了7个量化工具,其中Okur-Berberoglu的生态智能测量工具和Akkuzu的生态智能量表,具有较强的理论基础和信度和效度。此外,我们还检索了知名机构提供的开放获取数据库,但在这些数据库中没有发现评估EI的指标。结论:所有可用的工具都是为了在特定文化背景下评估个人水平和研究目的而设计的。缺乏反映各国智力教育发展状况和全球定位的全球性指标。建立跨EI领域的国家级指标对于政策制定和公众意识至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantifying ecological intelligence: building metrics for the green brain capital model-a systematic review.

Quantifying ecological intelligence: building metrics for the green brain capital model-a systematic review.

Question: The Green Brain Capital Model emphasises the bidirectional relationship between brain health and the environment, making it an environmentally focused type of brain capital. This work represents the initial stage of conceptualising the Green Brain Capital Model, which is essential to avoid ambiguity and misinterpretation while developing a quantitative model. Ecological intelligence (EI) is identified as a key component of the model in the literature. Therefore, the objective of this review was to systematically review the literature to define EI, its features and quantitative assessment tools, to develop comprehensive metrics for Green Brain Capital.

Study selection and analysis: We conducted a search in Scopus, ScienceDirect and Scopus secondary literature and identified 11 articles that provide definitions of EI and quantitative tools to assess it.

Findings: The study revealed that EI is a multifaceted concept with cognitive, affective and behavioural domains. Seven quantitative tools for measuring EI were identified, with the Ecological Intelligence Measurement Tool by Okur-Berberoglu and the Ecological Intelligence Scale by Akkuzu, demonstrating strong theoretical grounding, reliability and validity. Additionally, our review included searching open-access databases provided by reputable organisations, but no indicators for the assessment of EI were found in these databases.

Conclusions: All the available tools were designed to assess EI at the individual level and for research purposes within certain cultural contexts. There is a lack of global indicators reflecting countries' EI development status and global positioning. Establishing country-level indicators across EI domains is essential for policymaking and public awareness.

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