基于网络的小学数学智能教学系统

【作者】 谢忠新；

【导师】 王林泉；

【作者基本信息】 上海海事大学 ， 计算机应用技术， 2003， 硕士

【摘要】 智能教学系统是人类社会数字化教育的必然发展方向，本论文结合HTML的优点和ICAI(Intelligent Computer Assisted Instruction)的特点，利用ASP．net技术实现了一个以学习“小学数学三角形的知识”为实例的基于网络的智能教学系统。 系统的设计是以认知主义学习理论和建构主义的学习理论为指导的，构建的基于网络的小学数学智能教学系统，采用B／S模式，主要包括知识点数据库、学生模块、教学模块、网上答疑等部分。在知识的表示方面，利用三角形知识中元知识点之间的关系网络图来表示各元知识点的关系，它是一个带权的有向无环图，结点表示元知识点，结点之间带权值的有向直线表示元知识点之间的支持程度。教学内容的数据库表示方面，每个元知识点都有一些基本的属性，一个元知识点至少有一个具体的学习内容(也称微教学单元)，在数据表中用记录表示一个元知识点的属性与学习内容。用元知识点关系表来表示三角形知识的各个元知识点之间的语义网络关系，用一条记录表示语义网络关系图中的一条有向的直线，即一种关系，通过数据表，利用SQL查询语言能实现有关的操作。 在学习过程中，根据要学习的元知识点标识符，从元知识点内容表中搜索出相应的微教学单元的超连接，学生可进入具体页面学习该元知识点，做该元知识点配套的练习反馈题。对于一个具体的元知识点，学习活动一般过程如下：首先复习与其有关的知识，然后学习本元知识点的例题教学，再做与本元知识点有关的练习，有问题可以通过网络与学生或教师进行讨论，完成本元知识点的意义建构，学习完一个元知识点后进行测试，通过测试构造学生的认知模型，来判断学生是否已经掌握了这个元知识点，作为学习策略的依据。学生学习完三角形的全部元知识点后，进行综合测试，来判断学生对所有元知识点掌握情况。 最后以某个小学四年级(3)班的学生进行实验，表明本系统能智能地指导学生进行自主探究学习。更多还原

【Abstract】 Intelligent computer assisted instruction is the certain developing trend of human social digitalized education. In this paper , we combine the HTML advantage with ICAI characteristic, use ASP.net technology to realize a web-based intelligent instruction system, which assists mathematical learning in primary school.The system is designed on the base of cognitive learning theory and constructivism learning theory. It includes knowledge database , student module, teaching module, Web-based forum and so on. In the knowledge representation, the relation of each meta knowledge node is described by the relation network graph of triangle knowledge, It is a Directed Acycline Graph with weight. Node represents the meta knowledge node, the beeline represents the support degree of meta knowledge nodes. Each knowledge node has certain basic attribute. In data graph, One record describes the attribute of one knowledge node and one study material (tiny teaching unit) at least, one tiny teaching unit and a beeline of the relation network in the meta knowledge node database.Learners can search out the study material hype-link from the database according to the meta knowledge node identifier. He can learn the new knowledge, do the related exercises in this system. The general process of study follows these steps: Review the related knowledge at first, next study the example of the meta knowledge node, then do the exercise. If he meets questions , he can ask for the help of other students or teachers by the network. After he finished learning, he can have a test, to make his cognitive student model. If he have studied all the meta knowledge node of triangle, he can have a synthesize test. The paper describes a trial of the system done by the students of the grade four, the result of the experiment. The result shows that the system can intelligently guide the exploring learning of the students.更多还原