Статьи журнала - International Journal of Education and Management Engineering
Все статьи: 590
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
Статья научная
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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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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Evacuation Simulation of Counter-current Behavior Using Agent Model for Pedestrian Dynamics
Статья научная
It is an important issue that all occupants should be able to evacuate to safety from sports stadium under emergency. The behavior of occupants is quite complex, and individual behavior will greatly affect the result of the evacuation. Such as the phenomenon of counter-current behavior, sub-group behavior, following behavior and so on. In this paper, we mainly study the counter-current behavior, and a system simulation model is presented, which based on the agent technology. And in order to study the effect on evacuation, two cases have been studied to analyze the impact of evacuation. Simulation processes and results display that the counter-current behavior will be harmful for the movements of people. Simulation processes and results display that the model is very close to real movements of people.
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Статья научная
Key Process Areas (KPAs) for Software Engineering Institute (SEI) Maturity Level 4 can be described in terms of Quantitative Process Management (QPM) which is the metric to control the quantitative performance of a software project. On the other hand, Software Quality Management (SQM) monitors and controls the quality of the project. The survey conducted in this paper covers around 20 software houses of Pakistan. The study revealed that there is weakness in both KPAs, SQM and QPM. Each KPA defines a set of rules that are necessary to be followed to meet the standard but many organizations fail to follow these rules defined in every KPA. If specified and appropriate measures are taken, the software industry will lift it up to the higher CMMI Level.
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Статья научная
With the development of technology the use of Computer Aided Diagnosis has become a key for breast cancer diagnosis. It is important to increase the accuracy and effective of such systems. The concept of data mining can be applied on the data gathered through such systems for prediction and prevention of breast cancer. In this research, we have conducted the comparison between seven classification algorithms with the help of WEKA (The Waikato Environment for Knowledge Analysis) tool on the 569 instances (10 nucleus attributes) of data with two classes Malignant(M) and Benign (B) of breast cancer aspirate cells. Furthermore the influence of each attribute on prediction was evaluated. The accuracy of these algorithms was above 91% with the highest value of 94.02% for random forest and the predictive power of conclave points was highest whereas lowest was of Fractal Dimension.
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