少即是少：解决多个简单问题并非复杂问题解决——对格雷夫等人（2015年）的评论

When Less Is Less: Solving Multiple Simple Problems Is Not Complex Problem Solving-A comment on Greiff et al. (2015).

作者信息

Funke Joachim, Fischer Andreas, Holt Daniel V

机构信息

Institute of Psychology, Heidelberg University, Hauptstr. 47, 69117 Heidelberg, Germany.

Research Institute for Vocational Education and Training, Rollnerstraße 14, 90408 Nürnberg, Germany.

出版信息

J Intell. 2017 Jan 5;5(1):5. doi: 10.3390/jintelligence5010005.

DOI:10.3390/jintelligence5010005

PMID:31162397

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6526458/

Abstract

In this commentary, we critically review the study of Greiff, Stadler, Sonnleitner, Wolff, and Martin, "Sometimes less is more: Comparing the validity of complex problem solving measures" ( , , 100-113). The main conclusion of Greiff et al. that the "multiple complex systems" (MCS) approach to measuring complex problem-solving ability possesses superior validity compared to classical microworld scenarios ("less is more") seems to be an overgeneralization based on inappropriate analysis and selective interpretation of results. In its original form, MCS is a useful tool for investigating specific aspects of problem solving within dynamic systems. However, its value as an instrument for the assessment of complex problem solving ability remains limited.

摘要

在本评论中，我们批判性地审视了格雷夫、施塔德勒、松莱特纳、沃尔夫和马丁所做的研究《有时少即是多：比较复杂问题解决能力测量方法的效度》（[具体期刊信息缺失]，[卷号缺失]，第100 - 113页）。格雷夫等人的主要结论是，与经典微观世界情景相比，测量复杂问题解决能力的“多重复杂系统”（MCS）方法具有更高的效度（“少即是多”），但这一结论似乎是基于对结果的不当分析和选择性解读而做出的过度概括。MCS的原始形式是研究动态系统中问题解决特定方面的有用工具。然而，其作为评估复杂问题解决能力工具的价值仍然有限。