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智能教学系统中多种教学模式调度的研究与实现
The Study and Implementation of Instruction Pattern Scheduling in Intelligent Tutoring System
【作者】 李益才;
【导师】 张小真;
【作者基本信息】 西南师范大学 , 计算机应用技术, 2004, 硕士
【摘要】 利用多媒体、超媒体技术以及网络技术,教学系统可以通过网络共享教学资源,学习者能够根据自己的业务水平和时间情况来安排适合自己的学习计划和学习进度,提供一种适应性教学。目前,国内外已经有很多网络环境下的智能教学系统投入使用,但这些系统都是针对某一特殊领域或特定问题而设计,其单一的教学模式固定于系统结构中,贯穿于整个教学过程,不能很好地解决教学模式随学生的不同要求和教学内容的变化而适应性变化等问题,有各自的局限性。 论文针对目前智能教学系统中教学模式单一的问题,经过研究认为,如果一个教学系统中有多个教学模式,并能根据学生的实际情况调度不同的教学模式,将会大大提高教学系统的适应性,这样教学系统就能将教学资源、教学方法、表现形式优化组合,建立一个教与学的互动环境,充分激发教学双方的主动性和创造性。基于这一思想,论文对具有多种教学模式的智能教学系统(Intelligent Tutoring System with Multi Instruction Patterns,简称为MIPITS)的教学模式调度进行了细致的研究。主要目标是通过对智能教学系统中多种教学模式调度的研究,提出在智能教学系统中实现多种教学模式教学的方法,解决智能教学系统中教学模式单一的问题,提高系统的适应性。本文①为了便于MIPITS系统对多种教学模式的管理,对智能教学系统中教学模式进行了定义,阐述了教学模式与学生模型、教学资源的关系以及教学模式在智能教学系统中的表示形式、系统对教学模式的管理(教学模式的增加,删除,更新等)方法,使得MIPITS系统能对多种教学模式进行灵活的管理;②为了打破单一教学模式对整个教学过程的控制,论文提出了“全局教学规划——教学模式调度——模式内局部教学规划”的教学解决方案,阐述了一种新型的适合学生进行知识建构的知识模型和课程结构模型,并以此模型驱动教学规划的设计,并根据学生模型和教学资源的相关信息,实现了教学模式的灵活调度;③由于具有多种教学模式,相对于一般的智能教学系统,MIPITS的体系结构发生了改智能教学系统中多种教学模式调度的研究与实现中文摘要变,论文提出了在复杂、动态和开放环境下,包括使用Agent技术在内的MIPITS系统层次体系结构模型的解决方案:④研究并解决了包括Ageni在内的MIPITs系统各部分的协同问题,特别是复杂系统中Ageni与Non一Ageni部分的通信协同问题。 最后,论文设计了一个MIPITS的系统原型并构建其实验系统(MIPITS一ES),用来验证系统中多种教学模式调度的实现方法,包括教学规划、教学模式调度、MIPITS系统的构建以及包含Ageni在内的系统各部分的协同、特别是Ageni与Non一Ageni之间的通信协同等。实验表明,MIPITS系统协同问题的解决方案及其教学模式调度的实现使得智能教学系统具有更高的适应性,同时其灵活的体系结构便于我们进行系统维护。
【Abstract】 Many intelligent tutoring systems were developed using multi-media, hyper-media and network technologies, and they can share instruction resources. Using these systems, the learners can arrange their own learning plan and speed according to their capabilities and time. However, these systems were developed for specific purposes, and there is only one instruction pattern in the system. The only instruction pattern was fixed in the system and contolled the whole tutoring process. It cannot vary adaptively with the different needs of students and the different instruction contents. So there are limits in these systems.This paper aims at the problem that there is single instruction pattern in tutoring system, and thinks that if a tutoring system has many instruction patterns and can schedule the patterns according to the status of students, the system will be more adaptive. Therefore this paper makes an investigation on the instruction pattern scheduling in intelligent tutoring system with multi instruction patterns (abbr. MIPITS) carefully. The purpose is that it can propose a method of tutoring student with using multi instruction patterns through the study of pattern scheduling. This paper studied the implementation of pattern scheduling, including the definition of instruction pattern, the relations among instruction, student model and instruction resources, the presentation of patterns in MIPITS and the management of instruction pattern such as the addition, deletion and alternation. In order to break the whole control on instruction process of single instruction pattern, this paper proposed the instruction method of "globle instruction plan-instruciton pattern scheduling-local instruction plan in a certain instruction pattern", discoursed a new knowledge model and curricula architecture model, and based on these model this paper designed the instruction plan and realized the pattern scheduling. At the same time this paper studied the software architecture of MIPITS, and proposed a layered model of MIPITS in which it can use agent technology. Moreover this paper solved the problem of cooperation among parts of the system, especially solved theproplem of cooperation between agent part and non-agent part in the complicated system.At last, this paper designed the prototype of MIPITS and developed its experiment system (MIPITS-ES), and used the experiment system to verify the realization method of instruction pattern scheduling including instruction plan, pattern scheduling, construct of MIPITS, cooperation of the system especially the cooperation between agent part and non-agent part in MIPITS. The experiment presents that the implementation of MIPITS and pattern scheduling enable the system to be more apative, at the same time, the flexible architecture and the method of cooperation among different parts in system make the system to be maintained more conveniently.
【Key words】 intelligent tutoring system; instruction pattern; instruction planning; agent; component;
- 【网络出版投稿人】 西南师范大学 【网络出版年期】2004年 03期
- 【分类号】TP399
- 【被引频次】9
- 【下载频次】394