大学物理课程智能CAI系统的设计与开发

发布时间：2018-11-19 08:16

【摘要】：智能计算机辅助教学(即智能CAI)是当前教育研究领域内的一个热点。本文将智能CAI的相关理论和技术与大学物理课程结合,旨在开发出一个功能相对完善的大学物理课程智能CAI系统,并以此促进大学物理课程教学改革,提高其教学的质量和效果。本文系统是以软件工程思想为指导,利用Visual Basic开发工具结合Access数据库,并采用基于局域网的客户端/服务器(C/S)架构体系开发而成,具体可实现用户管理、习题管理、教案管理和试卷管理等多个功能。本文的理论研究重点在于对系统智能化的设计。通过对模块理论、认知理论和框架理论等的研究,最终对大学物理课程智能CAI系统的三个基本模块分别采用如下设计思想：①知识库模块主要采用习题和教案两种表现形式。首先根据教学大纲的要求将教学内容细化为各个最小知识点,然后采用章节分类的方法将每个知识点加以编码,最后构造知识点之间的影响关系；对于教案主要依据所包含的知识点数量以及知识点的难易程度被设计为初、中、高3个级别；而对于习题则需要找出所运用的各个知识点并分别标注其编码,以保证智能教学策略库的设计；②学生模块主要是依照布鲁姆的目标分类理论,将学习者的认知水平划分为识记、理解、掌握、综合、运用和评价6种类型,当学习结束后,通过对学习结果的智能分析,找出学习者错误产生的根源,并准确定位其认知水平；③教师模块主要根据学习者答题测试的结果,从答题数量、平均用时、正确的得分比例以及答题准确率等方面综合考虑,由系统自动分析,针对不同的组合形式给出个性化的建议。本文的主要特色在于：将智能CAI技术与大学物理课程结合,符合实际需求,具有很强的研究意义；在理论研究的基础上真正地实现了系统的开发,并且系统已经投入使用,应用前景较好；被开发的系统包含两个不同的版本,即：基于PC机的单机版本和基于C/S的网络版本,其适应范围较广；系统的扩展性较强,可以直接被进行二次开发,并运用于其它学科。
[Abstract]:Intelligent computer aided instruction (CAI) is a hot topic in the field of educational research. This paper combines the theory and technology of intelligent CAI with the course of college physics, aiming to develop a relatively perfect intelligent CAI system of college physics course, and to promote the reform of college physics course teaching. Improve its teaching quality and effect. This system is based on the idea of software engineering, using Visual Basic development tools combined with Access database, and using the client / server (C / S) architecture system based on LAN. It can realize user management and exercise management. Teaching plan management and examination paper management and other functions. This paper focuses on the intelligent design of the system. Through the research of module theory, cognitive theory and frame theory, three basic modules of intelligent CAI system of college physics course are designed as follows: 1 knowledge base module mainly adopts exercise and teaching plan. Firstly, according to the requirements of the syllabus, the teaching content is refined into each minimum knowledge point, then each knowledge point is coded by the method of chapter classification, and the influence relationship between the knowledge points is constructed. For the teaching plan mainly based on the number of knowledge points included and the degree of difficulty of the knowledge points are designed for the initial, middle, high three levels; For the exercises, we need to find out the knowledge points and encode them separately to ensure the design of the intelligent teaching strategy library. According to Bloom's goal classification theory, students' cognitive level is divided into six types: memorizing, understanding, mastering, synthesizing, applying and evaluating. Find out the root cause of learners' errors and accurately locate their cognitive level; (3) the teacher module is mainly based on the result of the learner's answer test, which is analyzed automatically by the system, including the number of questions, the average time, the correct score ratio and the accuracy rate of the answer question, and so on. Individualized suggestions are given for different combinations. The main features of this paper are as follows: the combination of intelligent CAI technology and college physics course is in line with the actual needs and has a strong research significance; The development of the system is realized on the basis of theoretical research, and the system has been put into use, and the application prospect is good. The developed system includes two different versions: the single version based on PC machine and the network version based on C / S, which has a wide range of adaptations; the system has strong expansibility and can be directly developed for secondary development and applied to other disciplines.
【学位授予单位】：华东师范大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：O4-4;G647

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