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Research and development of automatic exercise generation organization for the e-learning blending tuition who adapts himself to an individual 1

因人制宜的电子学习混合补习自动习题生成机构的研发1

基本信息

批准号：
17500667
负责人：
MIYAJI Isao
金额：
$ 1.34万
依托单位：
Okayama University of Science
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2006
项目状态：
已结题

项目摘要

We studied to generate a description exercise automatically using html teaching materials of a slide and to generate a multiple-choice test automatically from e-text in this research. The algorithm is different depending on the kinds of learning object domains and exercises. The study results for these 2 years are as follows. The registered sentences are made a morphological analysis of for learning Chinese character. The algorithm which generates a exercise automatically has been developed on the bases of the result and kanji information. Solution procedure of a problem and the bug rule were registered as a data base for exercise generation of mathematics. The choices of selection expression exercise are generated automatically using them. The way to diagnose an appropriate error has been developed. The way to estimate a learner key of the describing form has been developed using registered bug rule. The data base of a html course, key words, and image were registered for exercise gen … More eration of history. The way which generates a blank column replenishment multiple-choice test, a rearrangement exercise, combinatorial exercise and a picture multiple-choice test automatically has been developed. A html course and a data base of key words were registered for exercise generation in introduction to computer science. The way which generates multiple-choice tests, combinatorial exercise, a blank column replenishment multiple-choice test and calculate exercises automatically has been developed.Many researchers are working on research and development about the blended class at present. The blended class tends to increase. The development of the system to support the blended class of the lecture and the e-learning is expected greatly. The study results for organization of the automatic exercise generation in this research for 2 years from 2005 indicate a certain directionality of the organization. We are thinking these can contribute to this field. We hope to continue to study and develp organization of automatic exercise generation which corresponds to many subjects or many cases since a lecture and a class way are various. Less

本研究主要研究如何利用html教学资料自动产生描述练习，以及如何利用电子文本自动产生多项选择题。该算法根据学习对象领域和练习的种类而不同。这两年的研究结果如下。对所登记的句子进行词法分析，以利于汉字的学习.在此基础上，开发了基于汉字信息的练习自动生成算法。将问题的求解过程和错误规则作为数学习题生成的数据库。选择表达式练习的选择是使用它们自动生成的。已经开发出诊断适当错误的方法。使用注册错误规则来估计描述形式的学习者密钥的方法已经被开发。为练习生成注册了一个html课程的数据库、关键词和图像 ...更多信息历史的再现。开发了自动生成空栏补充选择题、重排题、组合题和图片选择题的方法。在计算机科学导论中，为练习生成注册了一个html教程和一个关键词数据库。选择题、组合题、填空题和计算题的自动生成方法已经发展起来，目前许多研究者都在进行混合式课件的研究和开发。混合班有增加的趋势。该系统的开发，以支持混合课堂的讲座和e-learning是很大的期望。本研究从2005年开始为期2年的自动生成练习的组织研究结果表明，该组织具有一定的方向性。我们认为这些可以为这个领域做出贡献。我们希望继续研究和开发的自动练习生成组织，对应于多学科或多个案例，因为一个讲座和一堂课的方式是多种多样的。少