Educational Administration Management Research Articles

Enhancing Educational Administration and Academic Management: A Study of the School Management System

This research paper introduces a novel approach to School Management Systems (SMS), addressing existing gaps in current systems. The proposed SMS emphasizes a comprehensive solution, focusing on student attendance and performance beyond traditional marks and assignments. By incorporating a seamless user interface and providing access to video lectures for each subject, the SMS aims to enhance the learning experience. Furthermore, the system includes intuitive attendance tracking and detailed performance assessment features, ensuring a holistic approach to academic operations. This research highlights the potential for SMSs to improve educational institutions' administrative tasks, communication, and academic performance, while also addressing the need for tracking missed lectures. The proposed SMS offers a more robust and comprehensive solution for managing educational institutions' administrative and academic needs. Keywords— School Management System (SMS), Academic Management, Performance Evaluation, Missed Lectures, Attendance Tracking, Technology Acceptance Model (TAM).

Promoting Economic Empowerment Through Effective Implementation and Linking Social Capital in Urban Agriculture Programs

Promoting Economic Empowerment Through Effective Implementation and Linking Social Capital in Urban Agriculture Programs

Retracted: Design of University Educational Administration Management System Based on Sensor Data and Multidimensional Information Fusion

Retracted: Design of University Educational Administration Management System Based on Sensor Data and Multidimensional Information Fusion

A Tracer Study of the Doctor of Education Graduates in a State University in the Philippines

This descriptive study examined the relevance and effectiveness of the Doctor of Education program of Laguna State Polytechnic University, Los Banos, Laguna, Philippines; demographic profiles of respondents such as age, gender, civil status, position, school type and details of promotion; achievement in current job, evaluation of achievement of program goals, and achievement of program outcomes. Based on the results, the program has successfully achieved its goal of developing a workforce of leaders capable of playing a key role at the primary, secondary and tertiary levels. This is reflected in the promotion of graduates to higher management positions such as superintendents, principals, and other supervisory positions in public school districts. Graduates feel that their degree has given them the confidence to establish themselves as educational leaders, work well with stakeholders, improve their communication and leadership skills, are satisfied and constantly strive to advance professionally and advance to the next rank. Successful practices in the areas of educational administration, school administration and resource management, incentives and employer’s feedback should be documented.

A systematic review of school distributed leadership: exploring research purposes, concepts and approaches in the field between 2010 and 2022

ABSTRACT Literature presents evidence of the exponential rise of distributed leadership both as a focus of research and as leadership development in education in the twenty first century (Hairon, S., and J. W. Goh. 2015. “Pursuing the Elusive Construct of Distributed Leadership: Is the Search Over?” Educational Management Administration & Leadership 43 (5): 693–718; Hall, D. 2013. “The Strange Case of the Emergence of Distributed Leadership in Schools in England.” Educational Review 65: 467–487), in addition to the growing criticism of the theory’s dominance and its ‘acquired taken-for-granted status’ (Lumby, J. 2016. “Distributed Leadership as Fashion or fad.” Management in Education 30 (4): 161–167). This paper thus seeks to provide a systematic review of the literature on distributed leadership published between 2010 and 2022 through a methodical collection, documentation, scrutiny, and critical analysis of the research publications. The review seeks to identify trends in distributed leadership knowledge production according to the study type/purpose, topical foci, methodological approach, focus group, and geographic distribution via a narrative synthesis approach (Oplatka, I., and K. Arar. 2017. “The Research on Educational Leadership and Management in the Arab World Since the 1990s: A Systematic Review.” Review of Education 5 (3): 267–307).

Communication Art in Project Management——Taking the Project of University Educational Administration Management System as an Example

Communication accounts for a large proportion in the whole project management, especially for the educational administration system of colleges and universities. Through effective communication, the effective operation of the whole system can be better implemented, and at the same time, the efficiency of the project can be improved, and the effect of the entire operation level can be improved. Therefore, the overall communication should be strengthened in the management of the entire university educational administration management system project, so as to achieve the orderly development of the entire project.

University Educational Administration Management Platform Integrating Distributed Real-time Cloud Computing System

The prosperity of the economy has made the society develop rapidly, and the traditional education management system can no longer meet the needs of the modern society. Under the background of college enrollment expansion, it has brought new challenges to school management and development. In recent years, the evolution and widespread adoption of virtualization, service-oriented architecture, autonomous, and utility computing have converged to give birth to a new paradigm: cloud computing. Cloud computing allows on-demand delivery of software, hardware, and data as a service. Cloud computing has the characteristics of massive processing and storage capacity, high efficiency, virtualization, and low cost. It has changed the traditional way of accessing software and hardware, providing users with convenient services and computing resources, which has achieved remarkable results in the related fields. Meanwhile, cloud computing plays an important role in education and teaching through its wide application in various fields. Based on this, this paper aims to study the application of distributed real-time cloud computing system in educational administration management in colleges and universities. This paper establishes a university educational administration management platform based on the cloud service computing system, and applies the management technology and distributed storage technology of the cloud computing platform. The system constructed in this paper significantly improves the utilization of CPU and memory. The research results of this paper showed that the response speed of the educational administration management system built through cloud computing has been significantly improved, with an average response time of 1.3s and an error of less than 0.4.

Design and Implementation of Vocational Education Management System Based on Discrete Fourier Transform

In some remote areas and even some vocational colleges, the information management of students is still stagnant on paper. Such traditional methods have obviously lagged behind the development and needs of society. The traditional manual management is a waste of both manpower and material resources. In today’s rapidly developing information age, it is very necessary to study an efficient vocational education management system. The vocational education management system designed in this paper includes Web server, DB server, college management terminal, and load balancing switch. In this system, CONN.ASP is a common module of all ASP programs in the whole system. It is mainly used to realize the connection between ASP program and database and the calling of common function submodules. In order to reduce the power consumption of the vocational education management system, the Discrete Fourier Transform (DFT) theory is proposed in this paper. This algorithm can effectively save the size of the storage unit and the number and frequency of reading the twiddle factor, so as to achieve the purpose of improving the operation speed. This paper randomly selected the scores of 10 classes and use the system for data processing test. A total of 50% of teachers were particularly satisfied with the tables generated by the discrete Fourier transform-based vocational education management system. They believed that the vocational education management system based on discrete Fourier transform is very fast in data processing, and the processing speed was within 0.1 s. The system designed in this paper can meet various demands in vocational education management and continuously enhance the function of educational administration management.

Design of University Educational Administration Management System Based on Sensor Data and Multidimensional Information Fusion

With the rapid development of education informatization, especially the promotion and reengineering of education business processes by big data and artificial intelligence, how to participate in this major change is the main issue that needs to be considered. Therefore, under the guidance of multisource sensor data fusion technology, this paper adopts the traditional cloud computing operation method, that is, centralized data center processing, which is difficult to adapt to the rapidly expanding data scale. We also propose a new perceptual adaptive data processing method. By designing an edge node adaptive data type sensing mechanism based on counting bloom filter, we can automatically identify the ubiquitous University Internet of things data categories and corresponding fields. The simulation results show that this method improves the recognition accuracy of different data categories in university management by more than 1.3%, which can help teachers use educational technology to do well in the teaching work before, during and after class, and promote the practical application of new teaching modes such as inquiry teaching.

Analysis of Articles Published in 2019 and 2020 within the Scope of Education Policies, Management, and Leadership

This research aimed to evaluate the research articles in the journals Educational Administration Quarterly (EAQ), Educational Management Administration & Leadership (EMAL), and Educational Policy (EP) according to the theme, method, quality, and quantity of the articles published in 2019 and 2020. The data used in the research were collected by document analysis, one of the qualitative research techniques. The data was analyzed with the help of frequency and categorical analysis using the descriptive analysis method. In this study, the following themes were predetermined as research design and method, purpose and subject, study group, and analysis of data. As a result of the analysis, it was observed that in recent years qualitative research has dominated in educational research, content and document analysis has gained weight in the analysis of research, different sub-leadership titles have increased in the main theme of leadership in research issues, and new topics have been included in a problem-based broad school perspective. It was concluded that teachers, school administrators, students, and documents related to school processes were treatedas the study group, and, in general, document analysis and accordingly content analysis were used in the analysis of the data. It was observed that the largest number of articles published in the journals came from North America, particularly the USA while a certain proportion of research took place in other parts of the world. The findings can be interpreted as guiding researchers and practitioners in the field of educational policies, management, and leadership. According to these results, it is suggested that publications in the field should be published in journals that guide education policies by using a mixed pattern in the focus of school and school stakeholders, and such publications should be conducted in the local and regional context.

Improving Random Forest Algorithm for University Academic Affairs Management System Platform Construction

Using the data of students’ learning process recorded in the network teaching platform to predict students’ learning performance, assist teachers to analyze learning situation, formulate teaching strategies, and warn about students’ learning state is a hot spot in the field of mixed curriculum research in recent years. In view of the complexity, heterogeneity, and security of college educational administration data and the difficulty of predicting and analyzing college students’ achievements, this paper designs a college educational administration management system platform based on improved random forest algorithm. Combining the advantages of three data-driven prediction algorithms, namely, random forest, extreme gradient boosting (XGBoost), and gradient boosting decision tree (GBDT), a model based on improved random forest algorithm is proposed. It is proved that this method is a noninferior prediction method. Secondly, the model is applied to practical problems to solve the problem of predicting college students’ grades. An experiment is carried out on the real data set provided by a municipal education bureau. The results show that the proposed model not only achieves good prediction accuracy, but also solves the stability problem of the model after adding new data, which will contribute to the iterative optimization of the model, improve the universality of the model, and help continuously track the learning behavior characteristics of college students in different semesters.

Markov Model-Based Curriculum Association Classification Model and Student Achievement Prediction

With the increasing popularity of higher education and the increasing scale of students in schools, the educational administration management system of various colleges and universities has also accumulated a large amount of performance data. In the face of these massive data, many teaching managers still stay in the simple operation of adding, deleting, modifying, and checking the data and cannot effectively extract and analyze the useful knowledge and information hidden behind the data. Therefore, Markov model is proposed. The advantage of the Markov model is that it has better prediction effect on random series and data series with large volatility; that is, grey prediction model is used to reveal the overall trend of development and change of prediction data series. This paper studies the curriculum association classification model and student achievement prediction based on the Markov model. According to the student’s historical achievement, the average missed detection rate of future grade point is 48.65%, the average missed detection rate of Apriori algorithm is 35.5%, the average missed detection rate of FP growth algorithm is 43.2%, the average missed detection rate of this algorithm is 37.5%, and only 17 of the 40 grade point interval predictions match the actual interval. Make full use of the association rules between courses to provide students with early warning and teacher guidance for specific courses, which can effectively reduce the failure rate while reducing the academic burden. The Markov model can mine students’ data inside and outside the classroom, establish and improve college students’ achievement index system, then deeply analyze and discuss the development of college students’ achievement and ability, and finally give each student’s achievement results.

A Review of the Knowledge Base for the Communication Skills of Educa-tional Administrators

Few studies dwell on the communication skills of educational administrators. Most of the research results yielded from credible international indexing sites focus more on educational management style, supervision, and administration; thus, the difficulty to survey a bigger scope for this field of interest. Still, this study examined various studies which concentrate on interpersonal skills or communication skills of educational administrators, leaders, and principals. Twenty research articles selected around the globe completed from 2010 to 2021 were utilized in this review. Quantitative analysis of the research findings provided evidence of the relevance of these skills to becoming effective educational administrators. The selected articles reveal that this field of interest is more prevalent in the Philippines and Nigeria. Most researchers utilized the descriptive survey method. Various questionnaires were used, but the instruments Principal's Communication Style Questionnaire and the organizational climate description were most frequently used. Finally, this review reveals that common research structure revolves around the correlation between the educational administrators’ communication skills and styles and the organization and teachers.

SOA-based Information Integration Platform for Educational Management Decision Support System

The resource management platform based on the resource library has different structures, which brings a lot of inconvenience to the sharing of educational resources. However, the scale of the school is constantly expanding, the number of campuses and departments within the school increases, and the number of teachers and students increases. These new circumstances need the development of an open, secure, and effective school administration system that can operate online at any time and from any location. The “plan norm model” of educational management decision-making goals controls the decision-making dynamic structure. Whether the decision-making object is an “economic man” or a “social man,” its dynamic structure is built on a top-down control sequence, with the only variation being the control mechanisms used. In colleges and universities, educational administration management is an essential aspect of educational management. It is a work with strong timeliness, heavy workload, and high accuracy requirements, affecting the overall situation of teaching. This paper proposes an information integration platform based on SOA, which integrates various enterprise application systems into a unified platform by using a loose coupling structure, realizes information sharing among application systems, and meets the needs of cross-departmental enterprise business. As a new architecture idea, service-oriented architecture can package existing assets and reuse existing assets. It can also minimize the impact of demand changes because its implementation is loosely coupled. When users need to add or modify a function, they only need to make a few modifications in the presentation layer or business process layer.

An intellectual history of the political in the educational management, administration and leadership field

Research and practice regarding politics within and for the educational management administration and leadership community are well established. The 50th anniversary issue of the journal educational management, administration and leadership is an opportunity to examine knowledge production where I have developed a new conceptual framework based on three approaches to ontology and epistemology in the social sciences. This framework presents positivist, interpretive and critical approaches to political relationality, and I deploy this conceptualisation in order to read and analyse field outputs. I present an account of each of these three approaches where I show the main authors, projects and knowledge claims that have raised awareness and established a conceptual and empirical database. I identify the resilience and dominance of positivist politics, but recognise the ongoing validity of interpretive and critical politics.

Application of Web 2.0 Technology to Cooperative Learning Environment System Design of Football Teaching

In general, web 2.0 technology serves as an educational tool for teaching and learning aspects. The study is aimed at exploring the interactive system of football teaching in the information technology era. The coach and players will utilize the mobile learning resources to get effective learning about the fun. Using mobile learning technology, the coach has to implement different modes to make the players learn about the game. The study implemented the convolutional neural network (CNN) algorithm to evaluate the accuracy of using web 2.0 technology to cooperative learning environment system design of football teaching. The results show that the network teaching interactive learning system of football courses based on web 2.0 can achieve the intended function of the college educational administration management system.

Design and Implementation of Intelligent Educational Administration System Using Fuzzy Clustering Algorithm

The present work aims to solve the problems that the traditional educational administration management system has, such as low efficiency in analyzing big data, and the analysis results have low value, which is based on manual rules definition in big data analysis and processing. The work proposes a student achievement prediction model FCM-CF based on Fuzzy C-means (FCM) and Collaborative Filtering (CF). The work also introduces it into the research of educational administration management to construct an intelligent educational administration management system. At the beginning, the FCM-CF model is described in detail. Then, the system requirements and specific design methods are described in detail. Eventually, with the students’ performance prediction as an example, the performance of the system is tested by designed simulation experiments. The result shows that the students’ achievement in study is closely related to their daily study performance such as preparation before class, classroom performance, attendance, extracurricular study, and homework completion. Generally, the examination scores of students are significant to their daily performances. Under the same experimental conditions, the prediction error of the FCM-CF model proposed here is less than 10.8% of that of other algorithms. The model has better prediction performance and is more suitable for the prediction of middle school students’ examination scores in educational administration management system. The innovation of intelligent educational administration management system is that, in addition to the basic information management function, it also has two other functions: students’ performance prediction analysis and teacher evaluation prediction. It can provide data support for improving teaching quality. The research purpose is to provide important technical support for more intelligent educational administration and reduce the loss of human resources in educational administration.

Evaluation and Bibliographic Analyses of EdLAM Literature to Help Early Career Academics

According to the Organization for Economic Co-operation and Development (OECD) (OECD, 2018), in almost half of the 38 OECD-member countries, most of the decisions about organization of instruction, personnel management, planning and structures, and resource management are taken at the school level. This study focused on understanding the current body of EdLAM knowledge to help doctoral students and early career researchers plan, run, and publish their studies. The terms “educational administration”, “educational management”, “educational leadership” were used to search the Web of Science database for studies published between 2000 and 2019. The final data set included 1438 articles. Concepts were examined with cooccurrence analysis using the bibliographic analysis tool, VOSViewer. Citation analysis was employed for ascertaining sources of highly cited articles. Results showed that “educational leadership” was the most studied concepts. Compare: A Journal of Comparative and International Education, and Educational Management Administration and Leadership were found to be those journals with the highest average yearly influence.

Design and Research of Intelligent Educational Administration Management System Based on Mobile Edge Computing Internet

Educational administration management is the primary link in the teaching management of colleges and universities. Mobile edge computing can create a carrier-class service environment with high performance, low latency, and high bandwidth and accelerate the rapid download of various contents, services, and applications in the network, which greatly promotes the upgrade of the educational administration system. Using educational administration management system to manage educational administration can promote the teaching work of colleges and universities better. This paper aims to design and develop a set of educational management information systems, using mobile edge computing (MEC) technology to combine the IT service environment and cloud computing technology at the edge of the network to improve the computing and performance of the edge network. Storage capacity reduces network operation and service delivery delay, improves user service quality experience, and helps universities improve the efficiency of educational administration management. This paper first discusses the implementation mode and related technologies of educational administration management system, then discussing the demand analysis of each functional module of the system; in the nonfunctional demand analysis part, the system needs to meet the security and performance. According to the function modules included in the system, using the way of running interface screenshot, implementation code, and flowchart, the paper analyzes the realization process of the function module and also completes the function test of the function module, as well as the performance test of the whole system. The experimental results show that the rule 4 of teaching level evaluation data mining reveals that the support degree of excellent teaching effect is 18% and the confidence degree is 53% in the age of 50–60. Rule 5 shows that the degree of support is 16% and the degree of confidence is 52%. Rule 10 shows that the degree of support for excellent teaching effect is 22% and the confidence level is 71%. The high confidence level of backbone teachers aged 50–60 indicates that the old teachers are more experienced and popular with students, while the young teachers under 30 need to focus on training to help young teachers improve their professional level. From the above data, it can be seen that through the application of mobile edge technology the educational administration system is more efficient in processing and analyzing data in terms of teacher management and teaching level, which once again shows the impact of this network technology on the construction and development of educational administration systems highly feasible.

Educational Big Data: Predictions, Applications and Challenges

Educational big data is becoming a strategic educational asset, exceptionally significant in advancing educational reform. The term educational big data stems from the rapidly growing educational data development, including students' inherent attributes, learning behavior, and psychological state. Educational big data has many applications that can be used for educational administration, teaching innovation, and research management. The representative examples of such applications are student academic performance prediction, employment recommendation, and financial support for low-income students. Different empirical studies have shown that it is possible to predict student performance in the courses during the next term. Predictive research for the higher education stage has become an attractive area of study since it allowed us to predict student behavior. In this survey, we will review predictive research, its applications, and its challenges. We first introduce the significance and background of educational big data. Second, we review the students' academic performance prediction research, such as factors influencing students' academic performance, predicting models, evaluating indices. Third, we introduce the applications of educational big data such as prediction, recommendation, and evaluation. Finally, we investigate challenging research issues in this area. This discussion aims to provide a comprehensive overview of educational big data.