多元智能理论在高中物理有效教学中的应用

发布时间：2018-04-30 16:31

本文选题：多元智能理论 + 有效教学　；参考：《延安大学》2017年硕士论文

【摘要】：随着教育、教学改革的不断深入,越来越多的学者开始关注多元智能理论在教学中的应用、有效教学的组织等问题,本论文将多元智能理论与有效教学联系起来探讨多元智能理论在高中物理有效教学中的应用。首先,简要介绍了国内外关于多元智能理论在高中物理有效教学中应用的研究现状、多元智能理论和有效教学相关理论。其次,阐述了在高中物理有效教学中教师应当注意的事项和应当采取的教学策略。第三,主要从理论上论证了多元智能理论对有效教学的启示,探究了多元智能理论在高中物理有效教学中的应用原则、应用策略。最后,以人教版普通高中课程标准实验教科书必修2第二章第二节《匀速圆周运动》为例,从教材分析、学情分析、教学目标、教学重点与难点、教学方法、实验器材、教学流程等方面提供了一个多元智能理论在高中物理有效教学中应用的具体教学案例。
[Abstract]:With the deepening of education and teaching reform, more and more scholars begin to pay attention to the application of multi intelligence theory in teaching and the organization of effective teaching. This paper links the theory of multiple intelligences and effective teaching to explore the application of multi intelligence theory in the effective teaching of physics in high school. The research status of the application of multiple intelligence theory in the effective teaching of physics in high school, the theory of multiple intelligences and the related theory of effective teaching. Secondly, the paper expounds the matters which teachers should pay attention to in the effective teaching of physics in high school and the teaching strategies that should be taken. Third, it mainly expounds the theory of multiple intelligence to the effective teaching from the theory. This paper explores the application principles and Application Strategies of the theory of multiple intelligence in effective teaching of physics in high school. Finally, it takes 2 second chapters and second sections of the experimental textbook of ordinary high school curriculum standard of human teaching edition as an example, from the analysis of the teaching materials, the analysis of the learning situation, the teaching goal, the teaching emphasis and difficulty, the teaching method, the experimental equipment and the teaching flow. Cheng and other aspects provide a specific teaching case of applying multiple intelligence theory in effective teaching of physics in senior high schools.

【学位授予单位】：延安大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G633.7

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