学习的双重认知过程及对教学的启示——基于期望价值理论的分析

发布时间：2018-02-26 16:44

本文关键词： 期望价值理论认知过程非认知过程学业成就　出处：《教育研究与实验》2017年01期 　论文类型：期刊论文

【摘要】：期望价值理论模型能预测各种成就环境中学生的学业成就,而成就价值和自我效能预期可以对认知过程和学业成就产生积极的促进作用。本文测试的概念模型描述了前学业成就、非认知过程(任务价值、自我效能感)、认知过程(深层学习方式、反思性实践)与学业成就之间的关系,运用自我效能期待、任务价值、深层学习方式、反思性实践等Likert七级量表和线性结构方程建模软件(LISREL 8.80)对三个区域12所中学27个班级的1038名学生进行了先验模型和后验模型测试。研究发现:(1)前学业成就对自我效能预期和任务价值具有显著的正向影响;(2)自我效能预期、任务价值对认知过程产生了显著的正向影响;(3)居于前学业成就与学业成就之间的自我效能预期和任务价值具有完全的中介效应。本研究发现可为期望价值干预教学提供实证支持;为转变学习评估的价值取向提供理论依据;为期望价值理论在学习研究领域的进一步深化提供方法论基础。
[Abstract]:The expected value theory model can predict the academic achievement of students in various achievement environments. Achievement value and self-efficacy expectation can positively promote cognitive process and academic achievement. The conceptual model tested in this paper describes pre-academic achievement, non-cognitive process (task value, task value). The relationship between self-efficacy, cognitive process (deep learning style, reflective practice) and academic achievement, using self-efficacy expectation, task value, deep learning style, The Likert scale of reflective practice and the linear structural equation modeling software, LISREL 8.80, tested 1038 students in 27 classes in 12 middle schools in three regions by a priori model and a posteriori model. The study found that the former academic achievement had a positive effect on the self. Efficacy expectation and task value have a significant positive effect on self-efficacy expectation. Task value has a significant positive effect on cognitive process. (3) Self-efficacy expectation and task value between former academic achievement and academic achievement have a complete intermediary effect. Learning to provide empirical support; It provides a theoretical basis for the transformation of the value orientation of learning evaluation and a methodological basis for the further deepening of the expected value theory in the field of learning research.
【作者单位】：华南师范大学教育科学学院;华南师范大学价值教育研究与开发中心;
【基金】：中国博士后科学基金面上一等资助项目“基于核心价值观的深度学习:模型建构与策略开发”(项目编号:2016M590792)的研究成果
【分类号】：G632.0

【相似文献】