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超越心理测量学:困难问题解决与复杂问题解决之间的差异

Beyond Psychometrics: The Difference between Difficult Problem Solving and Complex Problem Solving.

作者信息

Beckmann Jens F, Birney Damian P, Goode Natassia

机构信息

School of Education, Durham University, Durham, United Kingdom.

School of Psychology, University of Sydney, Sydney, NSW, Australia.

出版信息

Front Psychol. 2017 Oct 10;8:1739. doi: 10.3389/fpsyg.2017.01739. eCollection 2017.

Abstract

In this paper we argue that a synthesis of findings across the various sub-areas of research in complex problem solving and consequently progress in theory building is hampered by an insufficient differentiation of complexity and difficulty. In the proposed framework of person, task, and situation (PTS), complexity is conceptualized as a quality that is determined by the cognitive demands that the characteristics of the task and the situation impose. Difficulty represents the quantifiable level of a person's success in dealing with such demands. We use the well-documented "semantic effect" as an exemplar for testing some of the conceptual assumptions derived from the PTS framework. We demonstrate how a differentiation between complexity and difficulty can help take beyond a potentially too narrowly defined psychometric perspective and subsequently gain a better understanding of the cognitive mechanisms behind this effect. In an empirical study a total of 240 university students were randomly allocated to one of four conditions. The four conditions resulted from contrasting the semanticity level of the variable labels used in the CPS system (high vs. low) and two instruction conditions for how to explore the CPS system's causal structure (starting with the assumption that all relationships between variables existed vs. starting with the assumption that none of the relationships existed). The variation in the instruction aimed at inducing knowledge acquisition processes of either (1) systematic elimination of presumptions, or (2) systematic compilation of a mental representation of the causal structure underpinning the system. Results indicate that (a) it is more complex to adopt a "blank slate" perspective under high semanticity as it requires processes of inhibiting prior assumptions, and (b) it seems more difficult to employ a systematic heuristic when testing against presumptions. In combination, situational characteristics, such as the semanticity of variable labels, have the potential to trigger qualitatively different tasks. Failing to differentiate between 'task' and 'situation' as independent sources of complexity and treating complexity and difficulty synonymously threaten the validity of performance scores obtained in CPS research.

摘要

在本文中,我们认为,复杂问题解决研究各个子领域的研究结果综合以及由此带来的理论构建进展受到复杂性和难度区分不足的阻碍。在提出的人、任务和情境(PTS)框架中,复杂性被概念化为一种由任务和情境特征所施加的认知需求决定的性质。难度代表一个人应对此类需求的可量化成功水平。我们以记录充分的“语义效应”为例,来检验从PTS框架得出的一些概念假设。我们展示了复杂性和难度的区分如何有助于超越可能定义过于狭窄的心理测量视角,并进而更好地理解这种效应背后的认知机制。在一项实证研究中,总共240名大学生被随机分配到四个条件之一。这四个条件是通过对比复杂问题解决(CPS)系统中使用的变量标签的语义水平(高与低)以及关于如何探索CPS系统因果结构的两种指导条件(从所有变量之间的关系都存在的假设出发与从所有关系都不存在的假设出发)而产生的。指导条件的变化旨在引发以下两种知识获取过程之一:(1)系统地消除假设,或(2)系统地构建支撑该系统的因果结构的心理表征。结果表明:(a)在高语义性下采用“白板”视角更复杂,因为这需要抑制先前假设的过程;(b)在针对假设进行检验时采用系统启发式似乎更困难。综合来看,情境特征,如变量标签的语义性,有可能引发性质不同的任务。未能区分作为复杂性独立来源的“任务”和“情境”,以及将复杂性和难度视为同义词,会威胁到在CPS研究中获得的绩效分数的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccc1/5641385/9dfa92178a23/fpsyg-08-01739-g001.jpg

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