Study on the Deep Learning of Physics Review Course in Junior Middle School Based on CRS

Wei Li, Z. Huang, Ming Wu, Qian Tian
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引用次数: 1

Abstract

Deep learning is an important research topic in the field of educational technology, the Horizon Report released by the New Media Alliance in 2017 points out that deep learning is a key direction in promoting educational development and reform. This research is based on the CRS review discussion teaching mode, applying classroom response system in interactive teaching environment, in order to promot students' deep learning. Aiming at the problems of single teaching method, simple classroom communication, fuzzy monitoring of learning situation and low efficiency of teaching goal in junior high school physics review course, this paper takes junior high school physics review course as an example, discusses the teaching efficiency of CRS-based review course qualitatively, and uses comparative experiment to analyze the difference between teaching effect, students' deep learning achievement degree and learning type. The results show that, Based on the CRS junior high school physics review class in-depth learning model can improve students' academic performance, enhance the degree of achievement of students' deep learning. Therefore, we should actively explore the deep integration path of CRS and physics teaching, give full play to the advantages of CRS in focusing on the core issues in the classroom, evaluation of innovative learning process to improve the effectiveness of physics teaching.
基于CRS的初中物理复习课深度学习研究
深度学习是教育技术领域的重要研究课题,新媒体联盟2017年发布的《地平线报告》指出,深度学习是推动教育发展和改革的关键方向。本研究基于CRS复习讨论式教学模式,将课堂响应系统应用于互动式教学环境中,以促进学生的深度学习。针对初中物理复习课存在教学方法单一、课堂交流简单、学习情况监控模糊、教学目标实现效率低等问题,本文以初中物理复习课为例,定性地探讨了基于crs的复习课的教学效率,并采用对比实验的方法分析了教学效果、学生深度学习成就程度、学习类型的差异。结果表明,基于CRS的初中物理复习班深度学习模式能够提高学生的学习成绩,增强学生深度学习的成就程度。因此,我们应积极探索CRS与物理教学的深度融合路径,充分发挥CRS在关注课堂核心问题、评价创新学习过程等方面的优势,提高物理教学的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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