电子作业管理和作业抄袭检测技术研究
发布时间：2018-07-25 15:38
【摘要】： 作业环节是整个教学过程中的一个重要的环节，作业环节信息化是教育信息化中重要的组成部分。作业环节的工作质量、效率和效益直接影响着整个教育教学工作的质量、效率和效益的全局。然而，教改这么多年，课堂教学、考试工作方面都取得了可喜的成绩，作业环节却始终被人们所遗忘，成为教育教学工作的一个缺憾，阻碍了教育教学工作的顺利开展。 本文在对教学过程中作业环节现存的问题进行分析的基础上，设计了一种电子作业管理系统，并就其中涉及的关键技术，如作业收集、作业版本管理、作业抄袭检测等进行了深入的探讨和研究。本文的主要工作可以概括为以下几个方面： (1)提出了一种基于网络邮件系统的作业自动收集技术。 针对传统作业环节中，作业提交时间跨度大，作业版本多的特点，本文提出了一种基于网络邮件系统的作业自动收集技术。其核心思想是：教师首先规定好作业命名格式，然后学生将作业提交到教师指定的邮箱中。作业提交一律使用附件格式，作业格式支持Office文档，PDF文档和网页文档。系统定期自动检测邮箱，下载最新提交的作业，对文档内容进行分析，提取文档的文本内容，最后将作业信息流和作业文本内容一起保存到数据库中。 (2)提出了一种基于句子相似度的文档复制检测技术。 作业环节中缺乏强有力的作业监督体制，学生作业抄袋严重。依靠教师手动发现作业雷同现象，往往使教师身心俱疲。因此，本文设计了一套自动检测作业抄袋行为的方案。将文档按标点符号分解成句子序列，通过计算句子之间的相似度最终确定文档间的相似程度，并高亮显示雷同内容，给教师做出最后的判断提供依据。并通过实验进一步证明该算法的有效性。 (3)设计了一个电子作业管理系统。 本文在对传统的作业环节进行分析的基础上，设计并实现了一个电子作业管理系统。本系统一共分四个模块：作业收集模块、教师作业管理模块、学生作业管理模块、作业抄袭检测模块。教师可以在线布置作业，，批改作业，对作业完成情况进行相关数据统计等，学生也可以在线查看自己的作业完成情况，作业批改状态，还可以撤销未批改的作业重新提交。各个模块相辅相成，提高了作业环节的工作效率。 基于上述工作，并在此基础上进行了大量的实验，实验证明，该系统具有较强的实用性，将给教师在今后的教学工作中带来很大的帮助。
[Abstract]:Homework is an important part of the whole teaching process, and the information of homework is an important part of educational informatization. The work quality, efficiency and benefit of homework directly affect the quality, efficiency and benefit of the whole education and teaching work. However, the teaching reform for so many years, the classroom teaching, the examination work has obtained the gratifying result, the homework link has always been forgotten by the people, has become a flaw in the education teaching work, has hindered the education teaching work to carry on smoothly. Based on the analysis of the existing problems in the process of teaching homework, this paper designs an electronic work management system, and discusses the key technologies involved, such as homework collection, homework version management, etc. The work plagiarism detection and so on has carried on the thorough discussion and the research. The main work of this paper can be summarized as follows: (1) an automatic job collection technology based on network mail system is proposed. Aiming at the characteristics of long time span and many job versions in the traditional job link, this paper presents an automatic job collection technology based on the network mail system. The core idea is that the teacher first prescribes the assignment naming format, and then the student submits the assignment to the teacher's designated mailbox. All job submissions use attachment format, which supports Office documents and web documents. The system regularly automatically detects mailboxes, downloads the latest submitted jobs, analyzes the contents of documents, and extracts the text contents of documents. Finally, the job information flow and the job text content are saved to the database together. (2) A document replication detection technique based on sentence similarity is proposed. There is a lack of strong work supervision system in the homework link, and the students' homework bag reading is serious. Depending on teachers' manual discovery of the same phenomenon of homework, teachers are often physically and mentally exhausted. Therefore, this paper designed a set of automatic detection of bag reading behavior. The document is decomposed into sentence sequence according to punctuation mark, and the similarity degree of the document is determined by calculating the similarity between sentences, and the similarity content is highlighted, which provides the basis for the teacher to make the final judgment. The effectiveness of the algorithm is further proved by experiments. (3) an electronic job management system is designed. Based on the analysis of traditional operation, an electronic job management system is designed and implemented in this paper. The system is divided into four modules: homework collection module, teacher homework management module, student homework management module, homework plagiarism detection module. Teachers can arrange homework online, correct homework, and do statistics on the completion of homework. Students can also check the completion of their homework online, the status of homework evaluation, and can cancel the uncorrected homework to be resubmitted. Each module complements each other and improves the working efficiency of the operation link. Based on the above work, a large number of experiments have been carried out on the basis of which, it has been proved that the system has strong practicability and will bring great help to teachers in the teaching work in the future.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2007
【分类号】：G434
本文编号：2144272
[Abstract]:Homework is an important part of the whole teaching process, and the information of homework is an important part of educational informatization. The work quality, efficiency and benefit of homework directly affect the quality, efficiency and benefit of the whole education and teaching work. However, the teaching reform for so many years, the classroom teaching, the examination work has obtained the gratifying result, the homework link has always been forgotten by the people, has become a flaw in the education teaching work, has hindered the education teaching work to carry on smoothly. Based on the analysis of the existing problems in the process of teaching homework, this paper designs an electronic work management system, and discusses the key technologies involved, such as homework collection, homework version management, etc. The work plagiarism detection and so on has carried on the thorough discussion and the research. The main work of this paper can be summarized as follows: (1) an automatic job collection technology based on network mail system is proposed. Aiming at the characteristics of long time span and many job versions in the traditional job link, this paper presents an automatic job collection technology based on the network mail system. The core idea is that the teacher first prescribes the assignment naming format, and then the student submits the assignment to the teacher's designated mailbox. All job submissions use attachment format, which supports Office documents and web documents. The system regularly automatically detects mailboxes, downloads the latest submitted jobs, analyzes the contents of documents, and extracts the text contents of documents. Finally, the job information flow and the job text content are saved to the database together. (2) A document replication detection technique based on sentence similarity is proposed. There is a lack of strong work supervision system in the homework link, and the students' homework bag reading is serious. Depending on teachers' manual discovery of the same phenomenon of homework, teachers are often physically and mentally exhausted. Therefore, this paper designed a set of automatic detection of bag reading behavior. The document is decomposed into sentence sequence according to punctuation mark, and the similarity degree of the document is determined by calculating the similarity between sentences, and the similarity content is highlighted, which provides the basis for the teacher to make the final judgment. The effectiveness of the algorithm is further proved by experiments. (3) an electronic job management system is designed. Based on the analysis of traditional operation, an electronic job management system is designed and implemented in this paper. The system is divided into four modules: homework collection module, teacher homework management module, student homework management module, homework plagiarism detection module. Teachers can arrange homework online, correct homework, and do statistics on the completion of homework. Students can also check the completion of their homework online, the status of homework evaluation, and can cancel the uncorrected homework to be resubmitted. Each module complements each other and improves the working efficiency of the operation link. Based on the above work, a large number of experiments have been carried out on the basis of which, it has been proved that the system has strong practicability and will bring great help to teachers in the teaching work in the future.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2007
【分类号】：G434
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1 秦新国;电子作业管理和作业抄袭检测技术研究[D];南京师范大学;2007年
本文编号：2144272
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