ONLINE EXAMINATION SYSTEM USING CLOUD

This study presents the design and development of an online learning and examination system based on a dual-end collaborative architecture that connects students and teachers to enable closed-loop teaching and learning management. The student-facing front end provides end-to-end learning support, including secure authentication, a unified learning interface, course-based video learning, cloud-synchronized note-taking, and online examinations with dynamic test generation and anti-cheating mechanisms. By capturing and analyzing learning behavior data, the system supports an integrated process of learning, practice, testing, and evaluation, helping students monitor their progress and identify areas requiring improvement. The teacher-facing back end features an intelligent management console with four core functions: course release and review, instructional resource management, examination question bank maintenance, and performance analytics. Visualized score analysis, such as course-grade column charts, enables instructors to assess class-wide learning trends, detect abnormal learning behaviors, and enhance instructional decision-making efficiency. However, existing implementations reveal limitations in accurately identifying students’ true learning gaps. Current “weak link” recommendations rely primarily on surface-level behavioral indicators and lack deeper integration of error attribution and cognitive path analysis, resulting in generalized and insufficiently guided learning support. This study addresses these shortcomings by highlighting the need for more advanced learning analytics and diagnostic mechanisms. Overall, the proposed online learning and examination system demonstrates high compliance with the ISO/IEC 25010 software quality standard, particularly in terms of functionality, performance efficiency, compatibility, usability, reliability, security, maintainability, portability, scalability, and overall software quality.

As we know that before the novel coronavirus, we all majorly dependent on the old and traditional ways of conducting examinations which is very slow and, thus, decreases the efficiency of our current system. Many businesses have overturned due to COVID-induced lockdowns. There are school closures and social distancing everywhere. Normality is questioned. Governments across countries have initiated universities and higher education systems to adapt to remote instruction to cover lectures, exams, evaluations, and result publications. This technology-driven measure to promote education with equity during lockdown might work for online learning and teaching, but “how could it support online examinations?” is one of the top questions now. An online examination system during COVID could be a way out. The online examination system is a digital platform that evaluates students in a hassle-free way. The entire examination process is simplified, and exams are taken from anywhere, anytime. Eventually, with online examinations becoming the new normal, protecting the integrity of exam and exam data are becoming key areas of concern too. Experts and veterans are looking for software that comes with security features so they could evaluate student performance confidently and provide timely remediation measures for improvement, now and beyond COVID.KeywordsRemote online examinationAuto proctoringAuto evaluationVisualization

In order to achieve a paperless office, to improve test efficiency and save costs, we develop an online examination system. The system is designed by JSP technology and SQL Server database. Through two years of use proves that the online examination system facilitates and simplifies the test process, and makes the teacher complicated free from the examination process and has more time to study the teaching and the scientific research. The system has saved printing papers costs and office expenses. Online examination reflects the characteristics of the course Network Information Retrieval and solves the problems that paper test can not comprehensively inspects the student's ability of application.

Nowadays, deep and transfer learning technologies and its algorithms have become more popular in research area of computer vision field for image recognition and classification tasks. There are various kinds of neural networks broadly used in research area of image recognition and classification problems such as CNN, DNN, etc. In this research work, the researcher proposed and developed two customized modules. The first module is used for authentication of students in the online examination system. The second module is about to find the behavior analysis and facial expression recognition of students during online examination. The proposed authentication and facial expression analysis module is constructed by combining features of CNN and transfer learning approach with pre-trained architectures. To develop proposed system the models used are trained and validated by using various datasets. It also calculates the performance of students during the online examination period. The accuracy of these deep learning models highly based on data quantity used for training and testing model. Training and testing datasets depend on types of problems considered for which models are to be built.

Online Education became far too popular in last few decades serving as a powerful platform for sharing knowledge among international groups and individuals. The motive of Online Education is to utilize the potential of World Wide Web to extend education far beyond its present limits. But the full potential of www is not utilized as there is no relevant technique implemented by which we can examine the knowledge of candidates on a mass level. As a result we are unable to appreciate actual hidden talents from different parts of world. Here we are proposing a new approach for online examinations which counters almost all the drawbacks noticed in the traditional online examination techniques. The examination model provides a relevant scheme for question presentation and tackles all major challenges faced by online examination systems.

The goal of online examination is to ensure convenience, scalability, expanded reach, and customization. Despite the popularity of online exams, there have been some demonstrations against using them. The existing system is vulnerable and faces failures like question paper leakage, answer deception, trying to forge scorecards, difficulty in ensuring the integrity and consistency of scorecards by the exam board, and so on. Blockchain technology is the greatest and unsurpassed option for continuous authentication, confidentiality, and reliability. A blockchain-based framework for an online examination system is proposed to collect, register, and maintain a growing list of records using cryptography. It is also a peer-to-peer system that manages or stores time-stamped transactions such that no one can alter them. The proposed model combines time lock and multi-signature techniques and ensures the encrypted questions are locked till the exam starts, candidates’ answers are not altered, and scorecards are not manipulated. The system is open to the public, and the system’s processes are transparent. The costs associated are analyzed with the suggested solution’s on-chain and off-chain evaluation.

In recent years, digital learning and examination system has received great importance in the educational sectors due to the present COVID-19 pandemic situation. This online digital learning and examination system had many advantages over the traditional paper-based offline system. Since the amount of paper consumption is very less in the digital online education and examination, this approach could be ideal for saving the tree and reducing the environmental risks. Moreover, digital learning and examination system could be more convenient, time-consuming and safe in the current COVID-19 pandemic. This paper describes the environmental impact of traditional education and examination systems, different types of tools available for conducting online education and assessments and strategies to minimize paper usage in the teaching-learning and examination systems.

Test paper problem is a typical multi-constrained objective optimization problem. By using genetic algorithm, this paper analyzes the initial population generation, the chromosome coding and its genetic manipulation, control parameters. Solving that by natural-coded genetic algorithm, improves test paper success rate and convergence rate. This genetic algorithm is applied successfully on NHibernate architecture, and developed "automatic test paper" Online Examination system.

Usability is an important term for systems related to learning and teaching because usability issues can negatively affect student achievement. The aim of this study is to investigate the usability of a specific online examination system, OSSI, which is used by a public university for midterm and final exams. Researchers examined mean differences between System Usability Scale (SUS) scores of students from different departments with different usage frequencies. Usability issues were investigated by gathering students’ ideas. Both quantitative and qualitative data procedures were employed. Quantitative data were analyzed through analysis of variance, while content analysis was applied to qualitative data. Scores showed no statistical mean difference between usage frequencies but did show a statistically significant mean difference between CEIT and other two departments. Qualitative analysis revealed the importance of screen size, placement of buttons, question formatting, and other screen elements. The results of this study contribute to the design and development of OSSI and other online examination systems.

Online Examination System is highly prevalent among all education. One of the private colleges that participate realize is STMIK NUSA MANDIRI. Implemented in reaction to the self-users, in the form of acceptance or rejection. Acceptance of a technology is strongly influenced by the readiness of the users of these technologies, it has been demonstrated empirically by Walczuch et al (2007). Adapting from these studies and research supporting the study entitled of Preparedness and Acceptance Testing System Technology Online: A Case Study STMIK Nusa aims to examine whether students in STMIK Nusa Mandiri Jakarta already has the readiness and receive technologies on a system put in place. The model used to describe the relationship of the factors that affect the readiness and use Google Docs app is Readness Technology Index (TRI) in the Technology Acceptance Model (TAM) by using the research method of Structural Equation Modeling (SEM) on software analisys of Moment Structure (AMOS) version 21.0. Keywords: TRI, TAM, Online Examination System, SEM, dan AMOS

On-line online examination system development's overall goal is in realizes in Internet and local area network's online test. On-line online test system is the typical B/S construction system, its development mainly includes the development of the application, the database establishment and maintains. In the application procedure's development aspect, IBM Corporation's My Eclipse is used in design to carry on the programming design. It has introduced the object-oriented programming thought that causes the system interface to be friendly, the function is perfect, and the operation is flexible, easy to operate. At the same time, in the database establishment and the maintenance aspect, My SQL is used as the development kit of the database system. It is suitable for the Unix/Windowes service platform, is the database development platform, which is used widely in the large and middle scale system.

Online methods such as e-learning, e-business, online shopping, online payment, and so on have gained in popularity around the world as a result of the COVID 19 pandemic. Education sectors use emergency tele-learning, online learning platforms to persist in this circumstance and exams are conducted as online exams. This research highly focused on visually impaired students who are unable to read the questions displayed on the computer screen in this online examination system. They missed their braille system which is more familiar to read and write more easily. This is high time to build a proper voice-based online examination system for visually impaired students. This system should read the question that is displayed on the screen and obtain the student's response via voice commands. It can only lead students through the online exam using voice, and students can only provide the system answers and navigation orders using voice. The proposed system major goals are to read questions to students, obtain answers from them and effectively navigate students through the system using voice instructions. It builds a comfortable environment for the visually impaired students to write the exam and it helps to improve their personality when they are facing the exam.

As there has been a vast advancement in information and communication technology, there is a need for change in traditional examination system. Traditional examination system is to be replaced by online examination system. A cloud based solution is proposed to tackle the various issues in educational institutions. Here, we propose architecture for an android based examination system using cloud computing concept. In this we attempt to show an applicability, usage of cloud storage in examination management in education. Android is used to simplify the tasks. The thumb verification device is used to authenticate the user. Some encryption techniques are used for providing security to data.

Education is the process of transferring knowledge. In the process, it is necessary to design a quality curriculum. In the curriculum, one of the essential things is evaluation. Educators can make evaluations to students in order to obtain information on student development. In the national education system, the state pays great attention to education. The state's attention in education is to hold a national exam to equalize the quality of education in Indonesia. The national standard evaluation system is still changing in terms of terms and technicalities. Recently, computer-based evaluation systems are the latest step and innovation. Especially in the current era of the industrial revolution 4.0, digitization systems are in all aspects of life, including in the world of education. Since 2014, the national standard education evaluation system began using the online examination system. Although in 2014, not all of the schools in Indonesia were able to conduct and access computer-based examinations with the internet network. The program requires sufficient time for socialization and technical preparation. The spirit of revolution 4.0 is marked by building a digitalized national standard evaluation system. Even in response to the development of the Industrial Revolution era 4.0, Indonesia has made innovative breakthroughs in the world of education, namely the Computer Based National Examination (UNBK) system

The Question Answering system provides relevant answers or information to user queries.In the online examination system, the system checks the answers with the model answers and generates the result.The system rejects responses based on synonyms and instead verifies the result based on keyword matching.In this article, we concentrated on the topic and used Jaccard Similarity to compare the student response with the model response.The similarity is determined by how closely the student's response matches with the model response.If student responses do not match with the model responses, they should match those in the synonym dictionary.The result generates good results when student answers match with model answers and synonyms dictionary than student answers only match with model answers.