International Journal of Education and Management Engineering @ijeme
Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 625
E-Government in Pakistan – Implementation and Challenges
Статья научная
Today, the explosion of information and ever-improving digital connectivity has revolutionized the way business is performed, how organizations work, how the simplest of everyday chores are supposed to be done. A new world order has emerged; with newer, disruptive innovative ideas being incepted at a pace more than anyone could’ve ever imagined only a few decades ago. Public organizations; just like private ones, had to re-invent themselves in order to sustain and keep up with the increasing expectations of digital and effective public service delivery; From conventional government to E-Government. Implementation of e-Government solutions and strategies has become the topmost prerequisite of good governance in today’s globalized world, yet it remains a challenge in most of the developing countries including Pakistan. Despite countless efforts of the federal and provincial government in trying to go paperless, there remains a gap between the government and citizens, in the context of service delivery and between government employees and administration in the context of effective business process transformations. This paper aims to: •Study different models and indexes devised by scholars and organizations worldwide •Current implementations and the reasons behind their success or failure; based on interviews with people engaged in implementations of different digital solutions. •Study key contrasts in current and proposed business processes and their implications •Study key contrasts between ICT implementation strategies adopted by different counties •Identify recommendations and options for the government including institutional and cultural reforms for effective business transformation and service delivery •Engage with the people directly involved with the current and previous implementations of e-government applications in the country to provide the crux of all the challenges faced in different parts of the country. •Act as a roadmap for future ICT implementations in the country.
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EFL Teachers’ Perceptions of Learner Autonomy and Their Classroom Practices: A Case Study
Статья научная
It is considered that learner autonomy places a great emphasis on learners’ role as independent learners who are able to take control over their learning. That is not to say, teachers become redundant in a classroom. In contrast, the key role of the teacher is to create and maintain learning community. Accordingly, this study attempted to investigate EFL teachers’ perceptions of the promotion of learner autonomy and their teaching practices in a Thai context. It was quantitative-focused research, so data were obtained via a closed-ended questionnaire. The participants consisted of thirty EFL teachers who were teaching English at a Thai university. For data analysis, descriptive statistics and Wilcoxon signed ranks test were employed. The results showed that the participants could perceive the concept of learner autonomy and roles of teachers in autonomous language learning, yet most of them found it difficult to apply their knowledge about learner autonomy in this context. It is hoped that these preliminary findings partly contribute to literature regarding the promotion of learner autonomy in an EFL context.
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Статья научная
This project intends to develop an effective educational media that is not only rich in cultural content but also feasible in the museum setting. We want to introduce the Mao-Kung Ting, one of the most valuable collections of the National Palace Museum, to the public in two key aspects—its aesthetic beauty as an antique bronze cauldron, and its historical significance of carrying the longest bronze inscriptions ever discovered among unearthed bronze in China, which has made it plays an important role in the evolution of Chinese characters. Our mission is to develop an interactive installation that could help the audiences to understand this critical cultural heritage with ease. The major techniques that have been employed to facilitate this process include intuitive interactive interface, computer graphics animation, as well as an immersive environment with audio and video.
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Edifice an Educational Framework using Educational Data Mining and Visual Analytics
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Educational Data Mining and Visual analytics are two emerging trends in the industry that plays a major role in bringing out changes in the educational institutions. This paper discusses about building an educational framework that suits the higher education in India using the above mentioned technologies. Educational data mining comprises of various technologies and tasks which can applied on educational data to bring out useful information. In this research work, a data ware house is built to store the student data, two data mining tasks classification and association rule mining are applied over the student data set to analyse their performance in the examination. Decision tree algorithm is used to predict the course and program outcome. Association mining is used to analyze the outcome and understand technical capability of the students. The algorithms were found very accurate in predicting and analyzing the performance. Visual analytics is used in the framework to depict the analysis of the student's performance.
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Education Level, Young Migrant Labors and Social Exclusion
Статья научная
With rapid transition in China, young migrant labors begin to replace old ones. However, there are still many obstacles to the citizenization process of young migrant labors, and the main difficulty is social exclusion. From the perspective of social exclusion，this paper uses Logistic Regression, OLS and Ordered Probit to explore the education level‟s impact on young migrant labors‟ social exclusion. Eventually the research discovers that years of education, family burden, psychological gap and friend relationship have a significant effect, and the regression results are steady. Based on it, this paper proposes several ideas of strengthening rural education and reducing exclusion.
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Effective Pedagogical Aspects of the Development of Creative Qualities in Students
Статья научная
The current state of society requires students at educational institutions of any level and direction not only to master knowledge and skills that will be useful in their future professions but also have the ability to conduct an active dialogue with colleagues and management, the ability to clearly and persuasively express their point of view, and the ability to be mobile, active, and creative. This study aims to discuss the effective pedagogical approach on creativity of the students. The taken results of this observation contribute to the manifestation of the future specialist's self-development, self-realization, and the embodiment of his or her own ideas, which are aimed at originality. The student's creative abilities develop in all types of activities that are important for every student. The activation of student creativity is designed not only to awaken and maintain interest in various disciplines and modules, but also, most importantly, to help students realize the need to actualize their own creative abilities in educational and professional activities, ultimately leading to the formation of a graduate specialist competitive on the global education system.
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Effective XML compressor: XMill with LZMA data compression
Статья научная
The XMill is an efficient XML compression tool which takes the advantage of awareness of XML. XMill compresses the data on the basis of three principles- separate the XML structure from the data, group related data and apply the semantic compressors. The XMill uses the gZip library to compress the XML string data for increasing the compression ratio. Here we have proposed a new method to increase the compression ratio of XMill tool. In this method we have added the 7Zip library to the XMill tool; 7Zip library uses the LZMA algorithm to compress the data. LZMA is an enhanced & improved version of LZ77 algorithm which is used in the gZip library. LZMA algorithm has following features over the LZ77 algorithm •Uses up to 4GB dictionary length instead of 32KB for removing the duplicate data. •Uses the look-a-head approach instead of greedy approach. •Uses the optimal parsing, shorter code for recently repeated matches. •Uses the context handling. Due to the above features our proposed approach achieves the best compression ratio with a comparable compression speed.
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Статья научная
Involving students actively in the learning process is one of the ways that can be used in developing the learning objectives of mathematics which is to improve students' critical thinking skills. Students can be called have mathematical critical thinking skills if they have a way of thinking systematically, have an awareness in thinking, and have the ability to distinguish a truth from truth, and can provide arguments from a problem. In fact, students do not have the knowledge independently before the learning process begins so the students only expect new information at school. The lack of learning resources that are easy for students to understand makes learning still go in one direction and create passive learners. The impact is made students having difficulty in solving problems with varying level of difficulty due to insufficient time to finish it at school. These unsolved questions become independent tasks at home, and students become more difficult to solve it and caused students have not developed the ability to think critically mathematically yet. The purpose of this study is to create a product in the form of an effective learning video to improve students' critical thinking skills. The development model used is Model Plomp which consists of three phases, namely the initial investigation phase, the prototype development phase, and the assessment phase. The subjects of this study were class XI students and a mathematics teacher. Based on the results of observations during the learning process, students look active in discussions and can solve problems that are given systematically. The results of the final test of students 'critical thinking skills, the students' mathematical critical thinking skills increased to 87.87%. It shows that students have good mathematical critical thinking skills after using flipped classroom-based mathematics learning tools. So, it can be concluded that the flipped classroom-based learning device is effective to improve students' mathematical critical thinking skills.
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Efficacy of Assistive Technology for Improved Teaching and Learning in Computer Science
Статья научная
This study examined the efficacy of assistive technology (AT) for improved teaching and learning in computer science (a case study of an inclusive educational system). Two (2) hypotheses were formulated and tested for this study. A descriptive survey method was adopted for this study, the population of this study comprises all Students with special needs and all teachers teaching at Durbar Grammar School, Oyo, Oyo State, Nigeria. A purposive sampling technique was used to select twenty (20) respondents (teachers) and all the Students with special needs were involved (40). A structured questionnaire of two sections (sections A and B to be answered by the Teachers and the Students respectively) which was validated and tested for reliability was used; a reliability coefficient of 0.81 was obtained. Simple percentages and the Chi-square statistical method were used to analyze the collected data which was tested with this study’s hypotheses. The results of this study revealed that AT is capable of improving the teaching and learning of computer science for Students with special needs in an inclusive education if AT is allowed to play its role. It was also discovered that both the teacher and students with special needs were exposed to very little AT and there was no periodical training programme for both the teachers and the students with special needs on the use of AT which has affected their teaching and learning ability. This paper, therefore recommends that a periodical training programme on the use of AT be organized by all the stakeholders in inclusive education for both the students with special needs and all the teachers teaching them.
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Efficient Round Robin Scheduling Algorithm with Dynamic Time Slice
Статья научная
Round Robin (RR) scheduling algorithm is the widely used scheduling algorithm in multitasking. It ensures fairness and starvation free execution of processes. Choosing the time quantum in RR algorithm is very crucial as small time slice results in large number of context switches and large time quantum increases the response time. To overcome these problems of RR scheduling, instead of static time slice dynamic time slice can be used to get optimal performance. The objective of this paper is to modify RR algorithm by adjusting time slices of different rounds depending on the remaining CPU bursts of currently running processes and considering their waiting times until that round in respect of the other processes' waiting times. Experimental analysis reveals that the proposed algorithm produces better average turnaround time, average waiting time and fewer number of context switches than existing algorithms.
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Emerging Trends in Database and its Applications in MNC’s
Статья научная
When information is set for easy retrieval, access, updation, and management, then it is known as Database. Its major purpose is storing aggregations of records and data files that contain information regarding transactions, customer details, product details and financials. The paper deals with a briefing on DBMS which is a collection of inter-related data and set of programs to retrieve and access the data which focuses on :- a) exchange of data, b) retrieve the data, c) storage of data, and d) manipulation on data. The paper also gives a glance on elements of DBMS also describes the architecture which is consist of: a) internal level, b) conceptual level, and c) external level. The paper also mentions some of the uses of databases and will try to give an idea about the applications of Database in different MNC’s and projects in Data ware.
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Emotional Deficiency in Web-based Teaching Environment and Its Solving Strategies
Статья научная
In china, developing rapidly in Internet teaching exits serious lack of affection. This article aims to analyze the features on the lack of affection, reveal the causes of it and try to give corresponding solutions. The results indicate that lack of affection have manifested themselves mainly on lacking affinity for the resources of the network courses, being deficient in emotional information in virtual communication, being careless with emotional communication, the commercialized relations between teachers and students, and the lack of positive emotion. The main reasons that bring about the lack of affection are the impact of traditional education which pays more attention on intellectual education instead of affective education, the difficulties of design of teaching in affective domain, the inadequacy of role transition of teachers, the defects of Internet environment, the inadequacy of interaction in network teaching. At last, based on the perspective of teachers, students, and study resources, corresponding solutions on the lack of affection are given.
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Empirical Study on Forewarning of Urban Sustainable Development
Статья научная
A forewarning model was set up to evaluate the process of urban sustainable development based on fuzzy matter element theory. Taking status of Nan tong city from 2005 to 2008 as an example, we set up an index system of forewarning in the process of urban sustainable development in Nan tong and established the forewarning standards, limits and degrees.
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Empirical analysis of cervical and breast cancer prediction systems using classification
Статья научная
Cancer is a life-threatening disease with high mortality rates. In the Indian subcontinent, women have a higher possibility to be diagnosed with cancer than men. The most common cancers identified in Indian women are Breast Cancer and Cervical Cancer. Both these cancers have high survival rates in case of early prediction. This paper reviews the attributes which are used in the existing datasets for prediction of these two cancers. The paper also proposes new attributes to overcome the limitations of existing ones, which will further increase the effectiveness of cancer prediction systems. The efficiency of existing and proposed attributes is compared by processing datasets through data mining algorithms using WEKA tool. The algorithms used for this study are – J48 (Decision Tree), Na?ve Bayes, Random Forest, Random Tree, KStar and Bagging Algorithm. The empirical analysis done in the paper reported improvement in the efficiency of cancer prediction over existing prediction systems.
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Employee attendance monitoring system by applying the concept of Enterprise Resource Planning (ERP)
Статья научная
Enterprise Resource Planning (ERP) is a business process management system that integrates and automates the activities of an organisation in terms of its technology, human resources and services. ERP provides an integrated environment that links the business processes of different departments of an organisation into one unit so that departments benefit from each other through their joint transactions. This study applies the ERP concept to create an employee attendance monitoring system (EAMS). Three departments, HR, Finance and the Director of Administration, were linked using the EAMS. The traditional system of attendance monitoring was time consuming and required greater effort. This is because the attendance report needed to be printed from the HR department and then sent to the Finance Department for any necessary actions (i.e. salary deduction). The EAMS will automate the whole process, thus resulting in fair decisions in less time. In the traditional system, the any delay in calculations of attendance can be unwarranted or maintaining an accurate time record can be difficult as it is manually updated. To solve these issues, a computer based monitoring system is required to establish accuracy and fairness. For that purpose, we designed and developed the EAMS. The EAMS automatically calculates any delay in employee attendance using the concept of ERP systems. More precisely, this system will calculate the delay in the attendance within set rules, as defined and applied by the different departments in the organisation. The attendance times will be checked automatically by the system: if there is any delay which violates the set rules of the organisation, necessary action will be taken automatically against the employee in terms of salary deduction or other notifications. To apply the EAMS, we constructed a case study at the “Faculty of Economics and Business Administration at King Abdulaziz University, (Female Section)”. Later, it is hoped, that this system can be used in other organisations based on their needs and enhancement to the existing framework. The expected results of this system are that it will save time and effort for all employees at the Faculty of Economics and Administration. In addition, there will be a reduction of errors in the attendance reports.
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Статья научная
Recent technological advancements have fueled a notable increase in credit card usage, consequently amplifying the prevalence of credit card fraud in both offline and online transactions. Although measures such as PIN codes, embedded chips, and supplementary keys like tokens have enhanced credit card security, financial institutions are compelled to bolster their usage controls and deploy real-time monitoring systems to promptly identify and mitigate suspicious activities. This study explores the utilization of ensemble methods, incorporating the k-nearest neighbors (KNN), Random Forest (RF), and Logistic Regression (LR) models, along with the Isolation Forest (iForest) algorithm, to enhance the efficacy of credit card fraud detection. Additionally, automated parameter optimization using GridSearchCV is employed to fine-tune the iForest model parameters. By integrating multiple classifiers into an ensemble approach and automating parameter tuning for the iForest model, our research aims to provide a robust solution capable of adapting to varying datasets and improving fraud detection accuracy. Through empirical analysis and comparison of individual models with the ensemble approach, we underscore the significance of ensemble learning and parameter optimization in enhancing fraud detection capabilities, thereby contributing to the advancement of financial security measures in the realm of credit card transactions.
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Статья научная
The Indonesian Election is one of the most anticipated political contestations among the Indonesian people. Mainly because the results of the Indonesian Election are leaders in Indonesia ranging from governors and legislative members to the president and vice president of Indonesia, who will lead the next five years, considering the importance of the five-year agenda, the dissemination of good information about work programs, the activities of prospective leaders who will elect in the 2024 election and various news stories are starting to spread on Twitter. Based on this, this research aims to analyze public sentiment on Twitter wa The research method used is SMOTE-Tomek Links to overcome imbalanced data. In contrast, sentiment analysis uses Binary Logistic Regression. Evaluation related to this model measures accuracy and ROC Curves. The evaluation results show that the SMOTE-Tomek Links method is less than optimal for the data used in the research, namely the 2024 election data, with an accuracy value of 0.581 for training data and 0.406 for testing data. Undersampling methods such as Tomek Links and Random (undersampling) show higher values when combined with Binary Logistic Regression in analyzing the sentiment produced in this study, namely 0.983 and 0.938 for the Tomek Links method and 0.964 and 0.902 for the Random (undersampling) method, respectively -each for training and testing data.
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Enlightenment on Chinese Evaluation Standard of Educational Game Software from TEEM's
Статья научная
The author takes the evaluation standard of educational game software（EGS） made by TEEM as an example and analyzes its dimensionality, content and effectiveness. Then the author stresses the enlightenment on the evaluation standard of Chinese EGS about evaluation organization, evaluation scientificity and evaluation efficacy. The aim of this paper is to offer guidance to those enterprises producing EGS, schools and families purchasing EGS, teachers and students using EGS and promote Chinese evaluation standard to match international standard.
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Enterprise Architecture: A Tool for IS Strategy Formulation
Статья научная
Nowadays, many organizations are concerned with how successfully they can formulate an information system (IS) strategy. Have them adopted enterprise architecture, they are concerned of how to activate the business and IS decisions. From a functional perspective, enterprise architecture demonstrates how all information technology elements in an organization, systems, processes and people work together as a whole. Hence, enterprise architecture is an approach of aligning the business area of an organization with the IT area. It has become widely recognized that an enterprise architecture plays a key role in influencing the IS strategy formulation. Strategy formulation in enterprises is a continuous process and it is considered an implicit process that is influenced by a set of factors in which enterprise architecture is a major one. In this paper, we discuss that role that an enterprise architecture plays in influencing the IS strategy formulation.
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Essential and New Maintenance KPIs Explained
Статья научная
Maintenance in any manufacturing organization is critical, given its significant role in ensuring business continuity. Maintenance plays a crucial role and has a significant impact on the results of industrial companies. Therefore, it is essential to manage maintenance, observe, understand, and improve actions by adopting well-chosen performance indicators according to the company's needs. These indicators are known as Maintenance KPIs or Key Performance Indicators, which allow for gathering knowledge and exploring the best means to achieve the organization's goals. Maintenance KPIs are critical to keeping track of the function, monitoring performance, and ensuring fulfillment of business expectations. In addition, KPIs drive reliability growth while guiding decisions to improve maintenance efficiency and performance. A helpful maintenance KPIs help to identify the problems causing the maintenance effect and help to select the right strategy to support or correct the actions that produced the results. They also allow to identify the causes of equipment failures (measure the influence of life cycle factors), direct what maintenance does with its time and resources (measure the efficiency and effectiveness of the maintenance group) and identify if maintenance removes failure causes ( measure the improved reliability and operational risk reduction results of maintenance effort) and help drive the business benefits provided by maintenance (measure the contribution to the business value of maintenance). Essential maintenance KPIs are the most commonly used for maintenance management and are adopted by most industries; among these primary KPIs which are essential for maintenance management, we cite Mean Time Between Failure (MTBF), Mean Time To Repair (MTTR), and Overall Equipment (OEE). Nevertheless, it is crucial to continuously redefine and update KPIs to ensure they are appropriate for the organization's current environment, significantly when the constant market or research methodologies change. Hence, researchers and the industry propose several other maintenance KPIs outside the essential ones used in the industry according to the needs and within the performance improvement framework. These proposed KPIs aim to compensate for the lack of maintenance data, the absence of decision support, and the problems related to specific equipment, also in the context of improving the management strategy, the application of predictive maintenance, and the quality control of a maintenance process or the monitoring of systems reviews. Unfortunately, these indicators are not sufficiently known and are, therefore, not used by the industry. However, we believe that some of them should gain maturity and reach the status of widely used traditional indicators, such as the KPI of obsolescence management in maintenance operations and schedule compliance KPIs that aim to link maintenance planning with production. In addition, although not all proposed KPIs in the literature are generalizable, it has been identified that they can sometimes be specific to problematic situations, equipment categories, and even sectors of industry activity. Therefore, this work aims to inventory the most widely used maintenance KPIs and some of the KPIs proposed by researchers and the industry. In addition, we study the trends and challenges of selecting these KPIs and for what purposes they are used to help their understanding and usability. Indeed, Maintenance managers need to select relevant KPIs aligned with the maintenance strategy and the company objectives.
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