基于学习能力的高职院校自主学习数学模型微观机理研究  

The Research on Self-learning Mathematics Model Microcosmic Rules Based on Learning Ability for Vocational College

作　　者：王昕 华铨平[1] 张启富[2] 方建安[3] 

机构地区：[1]浙江纺织服装职业技术学院信息媒体学院,宁波315211 [2]浙江工商职业技术学院,宁波315012 [3]东华大学信息科学与技术学院,上海201620

出　　处：《价值工程》2017年第34期204-207,共4页Value Engineering

基　　金：浙江省教育科学规划课题(SCG268);浙江省高等教育教学改革课题(JG2015329);宁波市哲学社会规划课题(G17ZXLL06)

摘　　要：通过对高职学生学习能力以及自主学习过程分析,首先建立了基于学习能力的高职院校自主学习结构模型。其次,依据所建立模型中参数之间具有模糊推理的关系,分析得出了该结构模型的算法流程与模糊推理规则。最后,通过实例研究,进一步说明了所得理论结果的有效性。该研究比较重要的意义是不仅为高职院校自主学习相关评估软件的研发提供了一种理论参考,而且为今后高职院校相关教育理论的量化研究提供了一种可以借鉴的研究思路。By analyzing learning ability and self-learning learning for student in vocational college, self-learning learning structure model based on learning ability is built firstly. Secondly, because there is fuzzy reasoning of all parameters in the above model, the algorithm and the fuzzy inferences of the model are given. Lastly, by using an example, the effectiveness of the theoretical results is demonstrated. The research is not only to give a feasible theoretical scheme related to developing evaluation software of autonomous learning in vocational college, but also to provide a new kind of research quantization strategy of vocational education theory.

关 键 词：学习能力 自主学习 高职院校 模糊推理 

分 类 号：G642.0[文化科学—高等教育学]