Student Management System Research Articles

PENERAPAN MANAJEMEN PESERTA DIDIK PADA SEKOLAH MENENGAH ATAS

Learner management can function as a platform that promotes growth, quality, and achievement in educational institutions. Students are effectively supervised and controlled to ensure that educational institutions can accurately assess the progress of students' achievements. Student management is the administrative process that encompasses all actions related to students, starting from their enrollment in school until their graduation. This process involves many tasks such as coaching, planning, evaluation, and transfer. The objective of this study is to ascertain the administrative procedures involved in managing high school students. The study methodology employed is descriptive qualitative, utilizing a phenomenon-oriented research technique. The research employs data gathering approaches such as observation, interviews, and documentation. The research findings indicate that nearly all schools have successfully implemented student management systems that are tailored to the unique characteristics of each school. The student management process encompasses several tasks such as student planning, student acceptance and selection, student grouping, attendance and absence management, student evaluation, extracurricular activities and OSIS, management of student transfers and dropouts, as well as handling graduates and alumni.

The analysis of educational informatization management learning model under the internet of things and artificial intelligence

This study explores the influence of the Internet of Things (IoT) and Artificial Intelligence (AI)-enhanced learning models on student management in educational informatization management. A game-theoretic enhanced learning model is proposed to achieve this objective, incorporating resource scheduling strategies under fog computing and a student management system that integrates IoT and AI technologies. This model’s performance and the student management system are then tested. The results indicate that the fog computing-based hierarchical Q-learning (Q) model proposed in this study achieves faster convergence than a single Q model, reaching convergence after 80 training rounds, ten rounds earlier than the comparative algorithm. The model exhibits a lower average workload delay of 0.5 ms and fog node delay below 1 ms, showcasing significant advantages in terms of overall cost-effectiveness, thus minimizing service costs. The student management system has 3000 concurrent user connections, static page request times ranging from 0 to 25 s, login response time predominantly at 60 s, and a capacity to process up to 20 parallel tasks per second with zero errors. The system functionalities are fully realized, meeting usage demands effectively and achieving the highest average functional score of 9.03 for online interaction functionality. This study demonstrates the efficacy of the game-theoretic enhanced learning model in a fog computing environment and the positive impact of IoT and AI technologies on student management. The proposed student management system better caters to individual student needs, enhancing learning outcomes and experiences. The study's innovation lies in the integration of IoT technology with AI-enhanced learning models, coupled with the introduction of game-theoretic resource scheduling strategies, enabling the student management system to intelligently identify student requirements, allocate learning resources, and dynamically optimize the educational process, ultimately improving learning outcomes. This holds significant implications for enhancing education quality and promoting personalized student development.

Analysis and Countermeasure Research on the Current Situation of the Establishment of Career Committee Members in Colleges and Universities under the ' College System ' Education Mode

In recent years, the college system, as a student management system combining quality education and professional education, has gradually become popular in domestic universities. In the face of employment challenges, it is very important to carry out career planning and employment guidance education for college students under the ' academy system ' mode guided by high-quality talents. This paper focuses on the role of introducing student backbones in career planning and employment guidance under the ' college system ' mode. Taking Boya College of Ningxia University as an example, this paper studies the effectiveness, problems and countermeasures of establishing career committee members, and provides new ideas for college students ' career planning and employment guidance.

Design and implementation of student management system of integrated programmable device programming system

With the continuous growth and development of society, the reform of higher education is gradually taking shape, and colleges and universities are taking more and more responsibilities in promoting education. The main element of university management is the student management system, which is very important to the development of the university. Under the objective environment of colleges and universities seeking to expand the scale of running schools and rapid economic and social development, the current student management system has been unable to meet the various needs of contemporary students. The integration of programmable device programming systems offers a student management system distinct advantages in terms of reliability, flexibility, and user-friendly operation. This study focuses on developing an effective and affordable student management system by incorporating a programmable device programming system. To evaluate the system's performance, this paper suggests the utilization of a BP neural network, renowned for its high nonlinear approximation capabilities and effectiveness in handling complex nonlinear functional relationships. The experimental findings highlight a significant contribution, demonstrating that the system achieved a throughput of 180 times per second, with a maximum CPU utilization of 99%. Notably, the system's stability exceeded 95%, contrasting sharply with the traditional student management system's stability at a mere 65%. These results underscore the substantial contribution of the proposed system, showcasing its enhanced stability compared to conventional student management systems.

Campus Connect : Student management system using reactjs, nodejs and mongodb Dadan Umair Altaf,

The management of student information is crucial for educational institutions to streamline administrative processes, enhance communication, and facilitate data-driven decision-making. This research paper investigates student management systems, encompassing software solutions designed to efficiently handle student records, attendance tracking, grading, and communication between stakeholders. It examines the benefits of implementing such systems, including increased administrative efficiency, improved transparency, and enhanced parent and teacher engagement. Additionally, the paper explores the challenges and considerations associated with selecting, implementing, and maintaining student management systems, such as data security, customization needs, and integration with existing technology infrastructure. By synthesizing current research and practical insights, this paper offers a comprehensive overview of campus Connect and their significance in modern educational settings.

The Purpose Model for Improving Digital Management in Universities in Guangxi

The objectives of this research were: 1) to study the current situation of digital management in universities in Guangxi, 2) to develop the purpose model for improving digital management in universities in Guangxi, 3) to evaluate the suitability and feasibility of the purpose model for improving digital management in universities in Guangxi. The sample group of this research was 148 administrators in 20 public undergraduate universities in Guangxi. They were selected by systematic random sampling and sample random sampling. The interview group was led by administrators from 12 universities, totaling 12 people. The experts for evaluating the suitability and feasibility of the purpose model for improving digital management consisted of high-level administrators from 7 universities, totaling 7 people. The research instruments were document analysis, questionnaire, structured interview, and evaluation form. The statistics to analyze the data were percentage, average value, and standard deviation. The results found that the current situation of digital management in universities in Guangxi in five aspects was at a high level. Considering the results of this research aspects ranged from the highest to lowest level were as follows: the highest level was the digital campus security management system, followed by the digital student management system, and the digital scientific research management system was the lowest level. The purpose model for improving digital management in universities in Guangxi has five aspects, which contain 40 measures. There are 7 measures to enhance the digital management ability of Guangxi University managers, 10 measures to promote the digital teaching management system in Universities in Guangxi, 8 measures to promote the digital scientific research management system in Universities in Guangxi, 9 measures to promote the digital student management system in Universities in Guangxi, 6 measures to promote the digital campus security management system in Universities in Guangxi. The results of the evaluation of the suitability and feasibility of the purpose model for improving digital management in universities in Guangxi were at the highest level.

Student Registration System

The Student Management System is involved in maintaining the details of the attendance of students. Along with this, the system can also perform various functionalities on enrolled students as well as teachers. Generated student attendance is based on classroom attendance. A daily attendance base will be maintained and specified users will be provided with a personalized username and password for proper observation and analysis of the attendance sheet along with related informations. Using this given system we can easily create a number of new batches with respect to different subjects, class timing, semester name, etc. Apart from this, we are able to add, remove and update students and teachers with respect to different batches, subjects, and semester names. We can generate normal as well as customized (with a given set of parameters) student attendance reports with relevant informations, in whichever format we like (PDF, Excel, XPS writer). This system thus greatly reduces the complexity, time taken and manual efforts required to generate as well as maintain normal attendance reports and perform related operations on students, teachers, etc. by using one centralized system for all operations

Student Management System for Colleges and Universities

Student Management System for Colleges and Universities

Harmonization of higher education and student management by integrating information technology

Abstract In recent years, higher education management has been improving, but the coordinated development of the overall educational management and student management system of colleges and universities still needs to be further improved and enhanced. This paper uses data envelopment analysis and data fusion technology to establish DEA fusion algorithm and DEA-Malmquist index method to evaluate and analyze students’ learning efficiency in colleges and universities. The results indicated that the average degree of perfection of online teaching management in higher education is low, 86.2%. Students’ overall satisfaction with this is also expected at 56.2%. There is a need to strengthen management and improve classroom interactivity and innovation, to enhance the quality and attractiveness of courses, and to avoid excessive fragmentation. In addition to the existing problems, the results achieved include more accessible access to learning resources, with a percentage of 88.6%. The algorithm of this paper is used to study the efficiency of higher education and student learning, and to provide a more comprehensive and objective approach to the development of the quality of higher education and student management for the later development of higher education.

Retracted: Design and Application of College Student Management System Based on Big Data Technology

Retracted: Design and Application of College Student Management System Based on Big Data Technology

Stress Level Prediction of College Students Using ML

College students' mental health is often neglected, which may have serious consequences for their success in academic records. Mental health issues among college students may have far-reaching consequences for both the campus and the students themselves. General counselling, student management systems, and human advisers are just some of the ineffective approaches that institutions are using to track and avoid student stress. Naive Bayes, K-Nearest Neighbor, and Decision Tree are just a few examples of the Machine Learning Algorithms used by the proposed system to determine whether or not a student is experiencing stress and, if student is in stress, the system provide solution for relieving that stress. Key Words: Machine Learning, Naïve Bayes, K-Nearest Neighbor, Decision Tree, Stress, Stress Free, Prediction

Assessment of ICT services using the Information Technology Infrastructure Library Framework at Muhimbili University of Health and Allied Sciences, Tanzania

An increasing enrolment of students and demand for flexible delivery modalities in higher education calls for an urgent digital transformation in this sector. In addition, emerging global wicked challenges demand the appropriate use of information and communication technologies (ICT) to address them; for instance, the COVID-19 pandemic has accelerated the adoption of digital teaching, learning and transformation of educational services in higher learning institutions (HLIs). This study assessed ICT infrastructure, systems and services at the Muhimbili University of Health and Allied Sciences (MUHAS) in Tanzania using the Information Technology Infrastructure Library (ITIL) framework. This qualitative study used desk reviews of data obtained from interviews, system walkthroughs, document reviews and consultative meetings. The study used data from an assessment conducted between February 2017 and August 2021. The assessment found that MUHAS provides various ICT infrastructures and services, with a rapidly increasing demand for ICT services. A total of 84 ICT services at MUHAS were mapped and grouped as "Customer-facing" or "Supporting". The services were also categorised as "Core", "Enabling", or "Enhancing". The ICT services were at different maturity levels depending on the duration of their demands, requirements, capacity, usage, and availability of the required resources. Various educational technologies such as an eLearning platform, video conferencing systems, student management and assessment systems were used to enhance teaching, learning and progress tracking. This paper presents the experience of using the ITIL framework in assessing ICT infrastructure, systems and services at a university in Tanzania. It provides information on the services catalogue and its organisation as well as strengths, weaknesses, challenges and opportunities for using ICT in transforming university functions. In addition, this study informs other HLIs on similar assessments and strategic organisation of their ICT services in resource-constrained settings.

"School Website And Student Management System"

"School Website And Student Management System"

Analysis of student management path optimization in higher education institutions with ISM

Abstract With the national emphasis on vocational education and the reform of the examination and enrollment system of higher vocational education, the scale of students in higher vocational colleges and universities has been expanding, and the enrollment channels and student source types have been diversified, especially the characteristics of student source in local higher vocational colleges and universities are more prominent. The traditional student management mode has been difficult to meet the needs of students’ development and talent training mode. As an important part of education and teaching in colleges and universities, the effectiveness of student management determines the success or failure of ideological and political education of college students and the safety and stability of colleges and universities and is also related to the cultivation of high-quality technical and skilled talents needed by the society. Therefore, taking Jiyuan Vocational and Technical College as an example, this paper finds that 66% of the teachers and students think that the student management concept is backward, 58% think that the student management mode is single, 74% think that the student management system is not perfect, 58% think that the student management mode is rigid, and 59% think that the student management personnel are not of high professional quality in student management. The analysis of the results shows that using the hierarchical student management model based on ISM analysis makes the student management model with reasonable and effective articulation and operation, scientific and smooth implementation, and builds a set of effective student management systems in higher vocational institutions, which has certain theoretical and practical significance for the implementation of student management in higher vocational schools.

Human Activity Recognition System

Abstract: Almost every university has its management system to manage the students' records. Currently, even though there is a student management system that manages the students' records in Universiti Malaysia Sarawak (UNIMAS), no permission is provided for lecturers to access the system. This is because the access permission is only to top management such as Deans and Deputy Deans of Undergraduate and Student Development due to its privacy setting. Thus, this project proposes a system named Student Performance Analysis System (SPAS) to keep track of students' results in the Faculty of Computer Science and Information Technology (FCSIT). The proposed system offers a predictive system that can predict the student's performance in the course "TMC1013 System Analysis and Design", which in turn assists the lecturers from the Information System department to identify students that are predicted to have bad performance in the course "TMC1013 System Analysis and Design". The proposed system offers student performance prediction through the rules generated via the data mining technique. The data mining technique used in this project is classification, which classifies the students based on students' grades. Keywords- Student performance; student analysis; data mining; student performance analysis; classification; prediction; system

Research on the innovation of Intelligent Student management Assessment Information System based on python software design

In the reform and development of modern education, the construction of intelligent student management and assessment information system based on modern information technology can not only build information management system for the management of colleges and universities, but also deal with the data information scientifically, and provide strong guarantee for the realization of digital and intelligent goals of college education. On the basis of understanding the current situation of intelligent student management and assessment information system innovation, this paper uses development technology to clarify the student management and assessment system, regards artificial neural network as the foundation, and constructs a standardized and perfect index management and assessment model. From the perspective of practical application, the intelligent student management and evaluation information system with software as the core meets the needs of modern education management.

Design and Application of College Student Management System Based on Big Data Technology

In order to effectively manage the employment information of colleges and universities and improve the employment ratio of college graduates, the employment information management system of colleges and universities under the big data environment is designed. The graduate management platform in the system is used for graduates to edit personal information, understand employment-related information, and check recruitment information. The enterprise information management platform is used for enterprises to edit their own materials and publish recruitment information, so as to find graduates meeting the job requirements. The personalized recommendation platform uses the recommendation method based on users’ historical information to achieve offline employment recommendation and uses the recommendation method based on real-time user behavior data to achieve online real-time employment recommendation and improve the employment ratio. The employment information tracking management platform is responsible for recording graduates’ employment information and verifying the authenticity of recruitment information. The experimental results show that the system has a fast response time and low resource occupancy rate when the number of concurrent users is different. The employment rate of college graduates is effectively increased.

The Mixed Teaching Mode of Metal Materials and Thermal Processing Technology Based on the Residential College System

The residential college system is a reform and exploration of the student management system in China's colleges and universities in recent years, and has unique advantages in the practice of college culture education. However, as a new type of education model, the residential college system has a violent conflict with the traditional education model, and this conflict has become a pain point and difficulty in the development and construction of the residential college system. This paper relies on the residential college system to conduct research on the mixed teaching mode of "metal materials and thermal processing technology", which can well combine residential college and college. The conflict between the residential college education model and the college education model was solved.

Design and Implementation of Student Management System Based on B/S

Design and Implementation of Student Management System Based on B/S

Student Management Method of Private Colleges and Universities Based on Geographic Information System and WIFI

In order to improve the student management effect of private colleges and universities, this paper combines geographic information system and WIFI to construct a private college student management system. In the structural design, this paper divides the platform into several modules according to the idea of modularization and narrates the function of each part. In the database design, this paper completes the construction of each function of the platform. In the process design, this paper determines the design process of the platform. Finally, this paper studies the key technologies involved in the system and evaluates students’ trajectory positioning and management effects in colleges and universities. The research shows that the student management system of private colleges and universities based on geographic information system and WIFI proposed in this paper can effectively improve the student management effect of private colleges and universities.