Aims: This study aims at designing and implementing syllabus-oriented question-bank system that is capable of producing paper-based exams with multiple forms along with answer keys. The developed software tool is nam...Aims: This study aims at designing and implementing syllabus-oriented question-bank system that is capable of producing paper-based exams with multiple forms along with answer keys. The developed software tool is named Χ(Chi)-Pro Milestone and supports four types of questions, namely: Multiple-choice, True/False, Short-Answer and Free-Response Essay questions. The study is motivated by the fact that student number in schools and universities is continuously growing at high, non-linear, and uncontrolled rates. This growth, however, is not accompanied by an equivalent growth of educational resources (mainly: instructors, classrooms, and labs). A direct result of this situation is having relatively large number of students in each classroom. It is observed that providing and using online-examining systems could be intractable and expensive. As an alternative, paper-based exams can be used. One main issue is that manually produced paper-based exams are of low quality because of some human factors such as instability and relatively narrow range of topics [1]. Further, it is observed that instructors usually need to spend a lot of time and energy in composing paper-based exams with multiple forms. Therefore, the use of computers for automatic production of paper-based exams from question banks is becoming more and more important. Methodology: The design and evaluation of X-Pro Milestone are done by considering a basic set of design principles that are based on a list of identified Functional and Non-Functional Requirements. Deriving those requirements is made possible by developing X-Pro Milestone using the Iterative and Incremental model from software engineering domain. Results: We demonstrate that X-Pro Milestone has a number of excellent characteristics compared to the exam-preparation and question banks tools available in market. Some of these characteristics are: ease of use and operation, user-friendly interface and good usability, high security and protection of the question bank-items, high stability, and reliability. Further, X-Pro Milestone makes initiating, maintaining and archiving Question-Banks and produced exams possible. Putting X-Pro Milestone into real use has showed that X-Pro Milestone is easy to be learned and effectively used. We demonstrate that X-Pro Milestone is a cost-effective alternative to online examining systems with more and richer features and with low infrastructure requirements.展开更多
随着人工智能技术的快速发展,自然语言处理(Natural Language Processing,NLP)技术在各个领域得到了广泛应用。文章提出一种基于NLP技术的智能培训系统中知识点与题库关联方法,该方法利用NLP技术对培训材料进行文本分析,自动提取知识点...随着人工智能技术的快速发展,自然语言处理(Natural Language Processing,NLP)技术在各个领域得到了广泛应用。文章提出一种基于NLP技术的智能培训系统中知识点与题库关联方法,该方法利用NLP技术对培训材料进行文本分析,自动提取知识点,并基于知识点和题库之间建立关联模型,实现试卷题目的自动分配。该方法能够有效提高培训系统的智能化水平,提高培训效率和质量。展开更多
随着自然语言处理(Natural Language Processing,NLP)技术的发展,其对各行各业的发展注入了新的动力,同时在网络教育快速发展的背景下,二者的有机融合也便成为热点。本文提出基于浏览器/服务器(Browser/Server,B/S)模式,通过建立录题模...随着自然语言处理(Natural Language Processing,NLP)技术的发展,其对各行各业的发展注入了新的动力,同时在网络教育快速发展的背景下,二者的有机融合也便成为热点。本文提出基于浏览器/服务器(Browser/Server,B/S)模式,通过建立录题模板实现对试题的分割和录入,借助Textrank4zh和word2vec模块,建立以TextRank算法为基础的隐马尔可夫模型完成组卷功能,完成以Vue.js框架为前端和Flask框架为后端的题库考试系统的设计与实现。该项目在减轻教师工作量的同时可更好地考察学生知识掌握的程度。展开更多
文摘Aims: This study aims at designing and implementing syllabus-oriented question-bank system that is capable of producing paper-based exams with multiple forms along with answer keys. The developed software tool is named Χ(Chi)-Pro Milestone and supports four types of questions, namely: Multiple-choice, True/False, Short-Answer and Free-Response Essay questions. The study is motivated by the fact that student number in schools and universities is continuously growing at high, non-linear, and uncontrolled rates. This growth, however, is not accompanied by an equivalent growth of educational resources (mainly: instructors, classrooms, and labs). A direct result of this situation is having relatively large number of students in each classroom. It is observed that providing and using online-examining systems could be intractable and expensive. As an alternative, paper-based exams can be used. One main issue is that manually produced paper-based exams are of low quality because of some human factors such as instability and relatively narrow range of topics [1]. Further, it is observed that instructors usually need to spend a lot of time and energy in composing paper-based exams with multiple forms. Therefore, the use of computers for automatic production of paper-based exams from question banks is becoming more and more important. Methodology: The design and evaluation of X-Pro Milestone are done by considering a basic set of design principles that are based on a list of identified Functional and Non-Functional Requirements. Deriving those requirements is made possible by developing X-Pro Milestone using the Iterative and Incremental model from software engineering domain. Results: We demonstrate that X-Pro Milestone has a number of excellent characteristics compared to the exam-preparation and question banks tools available in market. Some of these characteristics are: ease of use and operation, user-friendly interface and good usability, high security and protection of the question bank-items, high stability, and reliability. Further, X-Pro Milestone makes initiating, maintaining and archiving Question-Banks and produced exams possible. Putting X-Pro Milestone into real use has showed that X-Pro Milestone is easy to be learned and effectively used. We demonstrate that X-Pro Milestone is a cost-effective alternative to online examining systems with more and richer features and with low infrastructure requirements.
文摘随着人工智能技术的快速发展,自然语言处理(Natural Language Processing,NLP)技术在各个领域得到了广泛应用。文章提出一种基于NLP技术的智能培训系统中知识点与题库关联方法,该方法利用NLP技术对培训材料进行文本分析,自动提取知识点,并基于知识点和题库之间建立关联模型,实现试卷题目的自动分配。该方法能够有效提高培训系统的智能化水平,提高培训效率和质量。
文摘随着自然语言处理(Natural Language Processing,NLP)技术的发展,其对各行各业的发展注入了新的动力,同时在网络教育快速发展的背景下,二者的有机融合也便成为热点。本文提出基于浏览器/服务器(Browser/Server,B/S)模式,通过建立录题模板实现对试题的分割和录入,借助Textrank4zh和word2vec模块,建立以TextRank算法为基础的隐马尔可夫模型完成组卷功能,完成以Vue.js框架为前端和Flask框架为后端的题库考试系统的设计与实现。该项目在减轻教师工作量的同时可更好地考察学生知识掌握的程度。
