Creative problem solving in knowledge-rich contexts

创造力 认知科学 心理学 认知 过程(计算) 点(几何) 创造性地解决问题 创意技巧 认知心理学 认识论 计算机科学 社会心理学 哲学 几何学 数学 神经科学 操作系统
作者
Wenjing Yang,Adam E. Green,Qunlin Chen,Yoed N. Kenett,Jiangzhou Sun,Dongtao Wei,Jiang Qiu
出处
期刊:Trends in Cognitive Sciences [Elsevier BV]
卷期号:26 (10): 849-859 被引量:43
标识
DOI:10.1016/j.tics.2022.06.012
摘要

Creative problem solving (CPS) relies on the reorganization of existing knowledge to serve new, problem-relevant functions. Extant creativity research, especially brain-based research, largely does not reflect the knowledge-rich contexts in which the application of previously-acquired knowledge is critical, as is frequently the case in real-world CPS. Knowledge-rich CPS frequently involves expertise, and can be fruitfully studied in expert participants. It can also be studied in novices when content knowledge is available as a component of the experimental paradigm. Behavioral and neuroimaging CPS paradigms based on analogical transfer can provide process-level insights into knowledge-rich CPS in nonexperts. The transfer-based heuristic prototype paradigm has the potential to be flexibly applied across diverse domains of knowledge. Better understanding of CPS as a process, especially via analogical transfer, has timely potential to inform education and creativity training. Creative problem solving (CPS) in real-world contexts often relies on reorganization of existing knowledge to serve new, problem-relevant functions. However, classic creativity paradigms that minimize knowledge content are generally used to investigate creativity, including CPS. We argue that CPS research should expand consideration of knowledge-rich problem contexts, both in novices and experts within specific domains. In particular, paradigms focusing on creative analogical transfer of knowledge may reflect CPS skills that are applicable to real-world problem solving. Such paradigms have begun to provide process-level insights into cognitive and neural characteristics of knowledge-rich CPS and point to multiple avenues for fruitfully expanding inquiry into the role of crystalized knowledge in creativity. Creative problem solving (CPS) in real-world contexts often relies on reorganization of existing knowledge to serve new, problem-relevant functions. However, classic creativity paradigms that minimize knowledge content are generally used to investigate creativity, including CPS. We argue that CPS research should expand consideration of knowledge-rich problem contexts, both in novices and experts within specific domains. In particular, paradigms focusing on creative analogical transfer of knowledge may reflect CPS skills that are applicable to real-world problem solving. Such paradigms have begun to provide process-level insights into cognitive and neural characteristics of knowledge-rich CPS and point to multiple avenues for fruitfully expanding inquiry into the role of crystalized knowledge in creativity. a task that aims to measure divergent thinking by asking participants to think of novel uses for everyday objects. a task that aims to measure convergent thinking by providing participants with three unrelated words (e.g., pine, sauce, and crab) and asking them to think of a fourth word (in this case, apple) that forms a compound association with each of the given words. requires homing in on a limited number of response (often only one correct solution) from a number of possible alternatives. knowledge that is learned and then retained across years, decades or an interval of hours or days. refers to expansive generation of novel ideas. One critical component of creative cognition. creativity in which the application of previously-learned knowledge is de-emphasized relative to origination of novel and/or divergent responses. creativity (including creative problem solving) that takes the form of applying (often via transfer) previously learned knowledge, for example, in a novel manner, or in a novel context. a task intended to simulate real-life CPS which addressed important problems by drawing inspiration from other things.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
shisan发布了新的文献求助10
刚刚
刚刚
Firsterchao发布了新的文献求助10
1秒前
1秒前
chen发布了新的文献求助10
1秒前
FashionBoy应助肉肉抱大腿采纳,获得10
1秒前
2秒前
2秒前
赘婿应助1111采纳,获得10
2秒前
Ruiqing88完成签到,获得积分10
3秒前
河豚素发布了新的文献求助10
3秒前
3秒前
汐儿发布了新的文献求助10
4秒前
liuy03发布了新的文献求助10
4秒前
沉默发布了新的文献求助10
4秒前
LXK完成签到,获得积分10
4秒前
5秒前
5秒前
光头哥发布了新的文献求助10
5秒前
cdercder应助grisco采纳,获得10
5秒前
隐形曼青应助grisco采纳,获得10
5秒前
CipherSage应助QXH采纳,获得10
5秒前
Boniu_wang完成签到,获得积分10
6秒前
哎呀呀呀发布了新的文献求助100
6秒前
7秒前
努力科研发布了新的文献求助10
7秒前
Lucas应助Firsterchao采纳,获得10
8秒前
weiliuping完成签到 ,获得积分10
8秒前
jjbl发布了新的文献求助10
8秒前
8秒前
9秒前
wave发布了新的文献求助10
9秒前
mrx96完成签到 ,获得积分10
9秒前
doubleuz发布了新的文献求助10
10秒前
10秒前
烟花应助刘清梅采纳,获得10
10秒前
10秒前
北秋发布了新的文献求助10
10秒前
10秒前
10秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7255184
求助须知:如何正确求助?哪些是违规求助? 8877130
关于积分的说明 18745487
捐赠科研通 6935528
什么是DOI,文献DOI怎么找? 3200300
关于科研通互助平台的介绍 2374891
邀请新用户注册赠送积分活动 2175361