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真实情境下地理诊断问题解决的专家认知模型
引用本文:苏小兵,杨向东,潘艳. 真实情境下地理诊断问题解决的专家认知模型[J]. 课程.教材.教法, 2019, 39(2): 107-113
作者姓名:苏小兵  杨向东  潘艳
作者单位:华东师范大学教师教育学院,上海,200062;华东师范大学教育心理学系,上海,200062
基金项目:教育部人文社会科学研究项目;国家社会科学基金
摘    要:2018年颁布的《普通高中地理课程标准》对我国地理教学和评价提出了新挑战。研究采用半结构化访谈的方法,收集整理专家在真实情境下解决地理诊断问题的过程信息,形成编码系统,并揭示专家问题解决的认知过程及其加工特征。研究发现,专家解决地理诊断问题是一个"假设—验证"的迭代过程。这一过程大致经历"问题形成""问题表征""计划—实施"和"因果解释"四个阶段,并运用"尺度思维""地理要素分析"和"类比编码"等思维方式和认知技能。研究的发现可以作为进一步探讨、构建基于核心素养的地理教学模式和评价框架的理论基础。

关 键 词:真实情境  问题解决  专家认知模型

The Expert Cognitive Model of Geographic Diagnosis Problem Solving in Real-World Contexts
Su Xiaobing,Yang Xiangdong,Pan Yan. The Expert Cognitive Model of Geographic Diagnosis Problem Solving in Real-World Contexts[J]. Curriculum; Teaching Material and Method, 2019, 39(2): 107-113
Authors:Su Xiaobing  Yang Xiangdong  Pan Yan
Affiliation:(College of Teacher Education,East China Normal University,Shanghai 200062,China;Department of Educational Psychology, East China Normal University,Shanghai 200062,China)
Abstract:The Geography Curriculum Standards for General High School promulgated in 2018 poses new challenges to the geography teaching and evaluation in China.The study uses the semistructured interview method to collect the process information of the experts in solving the geographical diagnosis problems in real-world contexts.Then,it forms the coding system and reveals the cognitive process and processing characteristics of problem solving.The study finds that the process of expert solving the geographic diagnosis problem is an iterative process of "hypothesis-verification".The process can be generally divided into four stages of "problem formation","problem representation","planning-implementation"and "causal interpretation".During the process,experts will use some thinking methods and cognitive skills such as "scale thinking","geographical factor analysis"and "analogical encoding".The findings of the study can be used as a theoretical basis for further exploration and construction of a key competency-based geography teaching model and evaluation framework.
Keywords:real-world contexts  problem solving  expert cognitive model
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