Student Performance Management Research Articles

Office Administration System

Abstract: Office administration system is a software application designed to help schools and educational institutions. It manages day-to-day operations more efficiently. It typically includes various modules that handle tasks such as admission management, employee management, accounts department, resource management, student, student performance management, performance analysis of student, course content. There are various contents included regarding class details, classroom attendance for each grade, management of student attendance, subject details, exam details, automatic timetable generation, report, download timetable. The system can be a powerful tool for school administration management, streamlining processes, improving efficiency, and enhancing communication between staff, students, and parents.

ACADEMIC MANAGEMENT SYSTEM

A software platform called an Academic Management System (AMS) is created to handle the academic operations of educational organizations like colleges, universities, and schools. To handle student details, attendance, fees, grades, performance, and course content/exam modules, the system provides a number of modules. Administrators and instructors can handle student data like personal information, contact information, and academic records using the student profile administration module. Students can seek a leave of absence through the leave request administration module, and instructors can accept or reject these requests. Parents can watch their child's scholastic data, including attendance, fees, and grades, through the parent-viewing module. While the fees management module tracks student fee payments and enables administrators to create fee reports, the attendance management module tracks student presence and gives reports on student attendance. Teachers can input student scores for tests, quizzes, and examinations in the mark administration section, which also produces reports for parents and managers. Grades, attendance, and instructor feedback are all included in the student performance management module's complete perspective of student success. Administrators and instructors can compare student performance across courses, assess student performance over time, and pinpoint areas for growth using the performance analysis tool. The graphical reports section presents student achievement data in graphical form, enabling managers and instructors to spot trends and patterns right away. Administrators and instructors can create reports and progress cards for specific students or complete classes, download them, and then transmit them to the students or classes in question. Teachers can submit course materials, such as lesson notes and readings, and handle test schedules and modules using the course content/exam module administration module. Overall, an academic management system aids educational establishments in successfully and efficiently managing their academic activities. It also enhances interaction and cooperation between educators, administrators, students, and parents. KEYWORD: School, Admission, Management, Students, Parents

Analysis and suggestions on medical educators' roles.

PurposeThis study aimed to investigate the differences in the perception between professors and students regarding medical educators’ roles and discuss their desirable roles.MethodsA survey was administered to 116 professors and 379 students of the medical colleges from Dankook University and Hallym University. The subjects were given a self-created questionnaire designed to measure their perception of medical educators’ roles.ResultsFirst, “student performance management” for professors and “teaching skill development” for students were recognized as the most essential medical educators’ role. Second, females students perceived the roles to be more important than males in eight of 10 roles.ConclusionFirst, “student performance management” for professors and “teaching skill development” for students were recognized as the most essential medical educators’ role. Second, females students perceived the roles to be more important than males in eight of 10 roles.

Design of Early Warning Platform for College Students’ Achievement Based on Data Mining

With the acceleration of the application of information technology in Colleges and universities in China, the efficiency of higher education is constantly improving. The focus of teaching management in Colleges and universities is to continuously improve the teaching level of colleges and universities, and the key is to strengthen the management of students’ performance. Performance warning is a form of student performance management. In recent years, data mining technology is more and more mature, and its application is also very wide. Many students have applied data mining technology to university management. In this paper, we apply data mining technology to college students’ performance early warning, and use Apriori algorithm in association rules to design and build college students’ performance early warning platform, and select two classes of students as the research object to verify. In this study, we choose the English course scores of two classes as the test data, and define the performance warning, which is based on the score below 60. The results show that six students in class a will be subject to performance warning, while seven students in class B will be subject to performance warning. In addition, the performance early warning platform designed by this method, the early warning accuracy rate is as high as 92.85%, the accuracy rate is high, has certain application advantages.

Student Performance Protection Based On Blockchain Technology

In recent years, performance management has become more and more significant in terms of management and credibility of universities. They have to review student performance when issuing diplomas. Therefore, the reliability of student performance management is extremely important. Nowadays, many universities adopt a data-centralized management model. However, centralized database often brings about problems such as information leakage and easy tampering. With the development of blockchain technology, its decentralized and unforgeability characteristics have gradually attracted people’s attention. In order to prevent students’ scores from being maliciously tampered with, we utilize blockchain to design and implement a decentralized student score sharing management system. Moreover, by using the Ethereum smart contract to manage on-chain and off-chain data storage as well as on-chain query and verification, we ensure the traceability, tamper-proof, distributed storage, and the security of query process. Finally, this article explores the construction of prototype system based on the Ethereum environment. The experimental results show that the anti-tampering and traceability scheme proposed in this article is feasible. The application of blockchain can fully satisfy the needs of various participants in student performance management. Each subject’s information has a separate decryption private key, which perfectly protects student’s score information.

Implementation of Student Performance Management Guidance to Improve Quality Study at Colleges

Student attendance activities can take place well and smoothly With a very active student to attend each attendance Student guidance in completing the research. With it, it takes Attentive attention to the student's attendance. Known systems that have an important role for student guidance are the Attendance assessment system and the higher education service system that is absolutely necessary for lecturers Supervisor for monitoring research at higher education. One of the media information is a very important Viewboard in the The Pen System (attendance Assessment) on the Viewboard Pen used for Assessment of attendance of students to get complete data and accuracy. However, existing Viewboard Pens do not currently have a Viewboard Performance that can be a benchmark in comparing Student attendance. There are 3 (three) issues that cause Alternative problems include the absence of information to display Reanytime Student attendance for a certain period of time. Furthermore, the absence of Performance graphs that can measure the performance of student attendance, And the absence of search filters for a certain period of time. Therefore, Designed a Viewboard using the Bootstrap template and also Using the SWOT method. Using 4 (four) methods System analysis using user requirement, design method Using Prototype, HIPO, Flowchart and UML (Unified Modelling Language). The Viewboard Pen is designed using Yii Framework and hopefully helpful in solving problems Attendance at the previous system and motivating students Guidance to be more active.

Predicting Student Failure in University Examination using Machine Learning Algorithms

Student Performance Management is one of the key pillars of the higher education institutions since it directly impacts the student’s career prospects and college rankings. This paper follows the path of learning analytics and educational data mining by applying machine learning techniques in student data for identifying students who are at the more likely to fail in the university examinations and thus providing needed interventions for improved student performance. The Paper uses data mining approach with 10 fold cross validation to classify students based on predictors which are demographic and social characteristics of the students. This paper compares five popular machine learning algorithms Rep Tree, Jrip, Random Forest, Random Tree, Naive Bayes algorithms based on overall classifier accuracy as well as other class specific indicators i.e. precision, recall, f-measure. Results proved that Rep tree algorithm outperformed other machine learning algorithms in classifying students who are at more likely to fail in the examinations.

The design and realization of the management system of college physical education under the network environment

With the expansion of the scale of institutions of higher learning, the requirements on the management of physical education gradually improve. In order to improve the management level of physical education in schools, it is urgent to develop a physical education management system in colleges and universities, so as to solve the needs of each college for physical education management and improve the management level. This system adopts the design idea of software engineering, and conducts detailed and detailed research on the system from preliminary material collection, demand analysis, feasibility study, overall design, detailed design, system coding and system test. In the system development design, the application of the current popular ASP. NET development framework, the database aspect used Microsoft’s SQL Server 2008, at the same time added some JavaScript scripts and JQuery framework technology, and finally realized the university physical education management system based on B/S architecture. This paper describes the demand analysis of the physical education administration system, and expounds the design and implementation process of each functional module. The main functional modules of the system include student information management module, teacher information module, teaching plan management module, teaching affairs arrangement management module, student course selection management module, class management module, student performance management module, teacher teaching quality evaluation management module and system management module.

Effective Application of Naive Bayesian Classifier for Personal Online Learning Networks

Naive Bayesian classifier can be used to classify news and patients, but there are few studies on the classification of educational data. Based on Naive Bayesian algorithm. This paper studies the relationship between course achievement and employment salary. Quantitative method is adopted as research methodology. The sample data sets were collected from Personal Online Learning Networks, which consist of the Student Performance Management System and Student Employment Management System. The sample category labels were constructed and the Hold-Out method was used to divide data sets into training sets and testing sets. 15 courses’ performance as feature vector and employment wage as category, if the attribute condition was independent, a Naive Bayesian Classifier was established. The result indicating the higher the grade of DAWEB, ICT, INT and WNDW courses, the higher the employment wage. The conclusion is in accordance with the actual situation: Four courses mainly train students’ comprehensive practical ability. The students who have stronger practical abilities are highly demanded by employers, hence, the higher salary will be provided. At the end, regarding the class conditional probability of $$P(x_{i} = E|s = H)$$ (Performance = E, salary = H) as the weight of courses, build a topological structure diagram of courses.

Computer Management of Student Performance

12 P h ysical educators face increasing demands to justify that their teaching makes a difference in student learning outcomes and that their programs are effective, accountable, andjustified (Dauer & Pangrazi, 1986; Siedentop, Mand & Taggart, 1986). Although the need to document their effectiveness is apparent to many physical educators, their ability to respond to this need is inhibited by the enormous data management task they face (Wendt & Morrow, 1986; Wessel & Kelly, 1986). The average physical educator may be responsible for teaching between 250 to 500 different students each week. Ifa physical educator wanted to distribute quarterly progress reports to the students and their parents, this would entail computing and preparing somewhere between 1,000 and 2,000 separate reports a year. Short of adding staff or clerical assistance, both which are highly unlikely, the only feasible solution to the student performance management task facing physical educators is to harness the power of microcomputers which are readily available in most public schools (Ingersoll & Smith, 1984; Morahan, 1985). With the use of a microcomputer and a student performance management program, 500 student reports could be generated in a matter of hours. A student performance management system could also address other questions such as what objectives were taught most or least effectively and whether instruction led to significant gains in student performance. This information, compiled into reports and distributed to administrators, would document the effectiveness of the physical education program. Finally, the use of computer technology would allow physical educators to more efficiently deal with the time-consuming task of managing student performance data, thus freeing more time to devote to planning and improving the quality of instruction. Two major categories of database management programs can be used by physical educators to manage their student performance data: generic database programs and specialized application database programs. The major advantage of generic database management programs is that the user can decide exactly what data will be managed, how the data will be manipulated, and what the reports will contain and look like. A commercial example of a generic database management program would be dBASE III Plus (Ashton-Tate, 1985). The major disadvantage of generic database programs is that they require more time and expertise to set up and use. Generic database programs are therefore really only a viable option for physical educators with above average computer skills or previous experience with database management programs. Specialized application database programs, on the other hand, have been designed to be simple to use and to minimize the amount of set-up time and expertise required of the user. The major advantage of specialized application database programs is that they can be used by a novice after only a short period of exploration with the program. The major disadvantage of specialized application programs is that the user has less control over what is managed by the program. To make these programs easier to use, the programmers have decided what data can be managed, how the data can be manipulated, and what the output reports will contain and look like. Given physical education budget restraints and the probability that most physical educators will possess only entry level computer skills, the primary option for most physical educators will be to begin their student performance management with a commercial management program designed specifically for physical education. This article describes what should be contained in a student performance management program and what should be considered when evaluating such a program for use in physical education. General guidelines are provided to assist physical educators in evaluating and selecting management programs to meet their specific needs.