• International Journal of Computer Science & Network Security
• /
• v.22 no.12
• /
• pp.132-138
• /
• 2022

Due to the impacts of the current pandemic COVID-19 and the continuation of studying online. There is an urgent need for an effective and efficient education platform to help with the continuity of studying online. Therefore, the question bank system (QB) is introduced. The QB system is designed as a website to create a single platform used by faculty members in universities to generate questions and store them in a bank of questions. In addition to allowing them to add two types of questions, to help the lecturer create exams and present the results of the students to them. For the implementation, two languages were combined which are PHP and Python to generate questions by using Artificial Intelligence (AI). These questions are stored in a single database, and then these questions could be viewed and included in exams smoothly and without complexity. This paper aims to help the faculty members to reduce time and efforts by using the Question Bank System by using AI and Natural Language Processing (NLP) to extract and generate questions from given text. In addition to the tools used to create this function such as NLTK and TextBlob.

• 전자공학회논문지 IE
• /
• v.45 no.4
• /
• pp.68-73
• /
• 2008

In this research, we proposed a learner tailoring question recommendation system for web based learning evaluation system. For teaming evaluation process, this system used the item difficulty Each question was stored and managed to the question bank. Item difficulty was recalculated during teaming process and feedback in next course. For learner tailoring question recommendation, learner could choice the teaming part and set the learning difficulty. In application result of proposal method, almost learner could improve learning score by controling teaming difficulty.

• The Journal of Korean Association of Computer Education
• /
• v.5 no.2
• /
• pp.49-59
• /
• 2002

There have been many attempts to educationally utilize a computer. As a result, a number of learning programs and testing programs have been developed. Testing programs developed so far are rather focusing on giving learners questions without interactivity. Question givers also have to feed question data into a computer. Therefore, this thesis, firstly, explains how learners themselves feed question data into a computer. Secondly, this thesis explains how to develop such a system that can produce new questions based on the question data fed by learners. This paper also introduces the system environment, which features the test item generation system, and explains the system environment by exemplifying internal modules, a test item bank. Besides, we also describe how to apply this system to educational programs and identify whether it is possible to apply it to a Chinese subject and others.

• The KIPS Transactions:PartD
• /
• v.9D no.3
• /
• pp.511-522
• /
• 2002

WBI (Web-Based Instruction), a web-based tool for teaching the students at a long distance, makes possible to Interact between learners and instructors, provides a wide variety of learning materials, has an advantage of overcoming spatial constraints. In this paper, as a model of using the web for education, a web-based education-evaluation system has been designed and implemented. Web-based education-evaluation system has to be equipped with both of the online setting question mode and the upload setting question mode, the former makes questions on web and the latter uploads the setted questions on offline with settling a defeat of the existing systems on setting questions. And the system has to be equipped with the function of analyzing the questions that gives teacher several kinds of analysis information and makes possible to feedback to questions by adjusting the difficulty and revising the questions. In this paper, a system that reflects the above requirements has been designed and implemented with PHP script language and MySQL database system.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.12
• /
• pp.35-48
• /
• 2017

Extracting temporal information from documents is becoming more important, because it can be used to various applications such as Question-Answering (QA) systems, Recommendation systems, or Information Retrieval (IR) systems. Most previous studies only focus on English documents, and they are not applicable to the other languages due to the inherent characteristics of languages. In this paper, we propose a new system, named ExoTime, designed to extract temporal information from Korean documents. The ExoTime adopts an external Knowledge Base (KB) in order to achieve better prediction performance, and it also applies a bagging method to the temporal relation prediction. We show that the effectiveness of the proposed approaches by empirical results using Korean TimeBank. The ExoTime system works as a part of ExoBrain that is an artificial intelligent QA system.

• The Journal of Korean Association of Computer Education
• /
• v.3 no.2
• /
• pp.31-37
• /
• 2000

We developed a test bank system which dynamically adjusts to students' achievement levels. In order to dynamically calculate the student's achievement level, our system uses the question-response theory which is usually adopted to CAT. The system proposes appropriate questions depending on the students' achievement levels so that they can do self-directed and individualized learning. The system consists of pre-test, main learning, and review stages. In the pre-test stage, the intellectual level of the student is examined to determine the starting point in the main stage. In the main learning stage, individualized learning is performed. Finally, a review session is added to re-examine the questions that the student gave wrong answers. The output from the learning process of the system is not the usual test scores but the level of the student's intellectual ability which is produced through the question-response theory. The intellectual ability level index objectively measures the degree of improvement of the student's learning ability.

• The Journal of Korean Association of Computer Education
• /
• v.21 no.4
• /
• pp.11-20
• /
• 2018

This study is to propose a problem bank of problem solving programming using Online Judge System as one of the ways to motivate learners and increase for immersion to students who take Data Structure lecture that is the basis of problem solving ability using information science. In order to do this, we developed a question bank for each major topic in the Data Structure, by developing 70 problem solving programming problems suitable for the main topics of the Data Structure. By mounting it on an Online Judge System and applying to actual classes, and by analyzing the motivation for learning and the degree of immersion according to the result after the application of the lesson, we propose a teaching-learning contents and usage for problem solving programming and Data Structure classes at the teacher training university which give motivation for learning and immerse in problem solving programming.

• Journal of Korea Society of Industrial Information Systems
• /
• v.9 no.3
• /
• pp.11-18
• /
• 2004

It is making researches in questions selection method for examination in web-based education system. Most questions made for these remote examinations use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. This paper proposes a new examination questions selection algorithm in web-based education system for engineer test. Generally, Engineer test is characterized by adequate examination questions selection for degree of difficulty and equally between all units. Therefore this algorithm selected examination questions equally well as regards degree of difficulty and distribution between all units. This algorithm providers more effective education examination method as compared with previous algorithm.

• The Journal of Korean Association of Computer Education
• /
• v.22 no.3
• /
• pp.55-65
• /
• 2019

In programming language learning system of flip learning methods, the evaluation of cyber lectures generally proceeds from online to multiple choice questions. In this case, the questions are randomly extracted from the question bank and given to individual learners. In order for these evaluation results to be reflected in the grades, the equity of the examination question is more important than anything else. Especially in the programming language subject, the degree of difficulty that learners think can be different depending on the type of problem. In this paper, we classify the types of multiple-choice problems into two categories, and manage the difficulty level by each type. And we propose a question selection algorithm that considers both difficulty level and type of question. Considering the characteristics of the programming language, experimental results show that the proposed algorithm is more efficient and fair than the conventional method.

• KDI Journal of Economic Policy
• /
• v.27 no.1
• /
• pp.39-79
• /
• 2005

This paper addresses the question of whether a monopolistic banking system can lead to a higher steady state level of capital stock. Information externality has enhanced as the advance of the financial system such as the establishment of the credit bureau system, networking, etc. Hence this paper aims to analyze the effects of both information externality and economic development on the determination of the optimal banking market structure. This paper shows that the presence of information externality together with asymmetric information would explain how a monopoly bank leads to a higher steady state level of capital stock. It also shows that not only under-developed countries but industrialized countries may also benefit from a concentrated banking system. This analysis provides an alternative explanation of the recent deregulation and resulting trends in mergers and acquisitions. This also provides a theoretical foundation to support governments' policy changes toward promoting merger and acquisition activities.