基于变构学习模型的大学物理深度学习研究——以大一学生解决某一力学问题为例RESEARCH ON DEEPER LEARNING OF COLLEGE PHYSICS BASED ON ALLOSTERIC LEARNING MODEL——TAKING FRESHMEN TO SOLVE A MECHANICAL PROBLEM AS AN EXAMPLE
陈玉洁,黄致新,詹璇,张玲
摘要(Abstract):
变构学习模型提倡在原有心智结构解构的基础上进行新知识的有效建构,与深度学习理论相适切。本研究基于变构学习模型理论和深度学习理论,以大学物理力学部分的教学为例,采用质性和量化相结合的研究方法对大一学生在解决一道力学问题时的心智处理和思维结构展开分析,进而对学生力学知识的变构和学习深度进行研究。结果表明:大一学生强大的中学力学心智结构对大学物理的学习具有阻碍作用,而采用“师生对质”的教学模式有利于变构学习的产生,变构学习的产生也更有利于深度学习的达成。
关键词(KeyWords): 变构学习模型;深度学习;大学物理
基金项目(Foundation):
作者(Author): 陈玉洁,黄致新,詹璇,张玲
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