International Journal of Modern Education and Computer Science @ijmecs
Статьи журнала - International Journal of Modern Education and Computer Science
Все статьи: 1080
Issues of Technical Support for e-Learning Systems in Higher Education Institutions
Статья научная
Information and communication technologies (ICTs) have provided several tools to facilitate higher education. However, their effective use demands technical expertise to achieve the required academic goals. The university constituents (teachers, students and administrators) are given eTraining but this is not enough. Every eLearning system establishes a basic ‘infrastructure’ of computers, networks, communications and a technical department filled with ICT professionals to consistently maintain and upgrade the infrastructure, train the users and continuously provide technical support as and when required by them. Given the non-stop nature of technical support for eLearning, HEIs are facing issues in creating robust infrastructural facilities that are both competitive with the external environment and compatible with the internal user requirements. This article is a compendium of the touchy aspects in sustained technical support for eLearning in HEIs.
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Issues on E-health Adoption in Nigeria
Статья научная
E-health is the application of information technology for health care management. It includes all applications of information communication technologies to promote healthcare services support, delivery and education for improving efficiency in health care delivery to the citizens. Many factors contribute to the poor state of the medical sector of Nigeria, and in fact many developing countries, two of the most important being record keeping and accessibility. Nigeria still operates a paper based healthcare delivery system; meeting demands of citizens have been increasingly difficult due to her huge population, understaffed hospitals, apathy towards embracing ICTs and other issues. On the other hand, ICT applications have been used successfully in developed countries to address most of these problems. This paper presents an in-depth analysis of the healthcare system in Nigeria while highlighting confronting issues with a view to proposing a viable solution.
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K-12 Curriculum Research: The Chicken and the Egg of Math-aided ICT Teaching
Статья научная
In this article, we examine the relationship in K-12 education between Mathematics and Information and Communication Technology (ICT). The topic is reviewed from various angles, based on both a literature study and by directly contrasting the Finnish National Curriculum (FNC) of 2014 (effective since autumn 2016) with the National Curriculums of the UK (UKNC)[3] and the US (USCC)[2]. Finland has chosen a cross-curricular approach to developing the new curriculum for teaching ICT, which involves integrating it mainly with math, but also with handicraft, and various other subjects. This is in direct contrast to the UKNC, for example, which teaches ICT as its own field, to be taught through the Computing and Design/Technology syllabi. This poses a question for this research study, namely, how well do teaching math and ICT fit together? The first step towards answering this question is to establish which ICT concepts and domains are directly supported by math and which are left uncovered. As a theoretical research paper, the rationale for the inter-connectedness of math and ICT is based on the work of many researchers. To illustrate our comparison of the two subjects, in this article we concentrate on clarifying math's and ICT's shared concepts of variable and function. The results of this study indicate that transfer between the subjects happens bi-directionally, which might suggest that teaching ICT in combination with particular branches of math, notably algebra would be of benefit to our students. In order to pursue this approach, extra modules for logic, basic linear algebra and set theory would also be required. The fundamentals of basic algebra, the function and the variable, and their significance as synthesizers in both algebra and ICT are highlighted. In addition, the use of calculators as function tutors is explored in an instructional classroom setting. The conclusion of this study is that although there are certain benefits to the currently chosen approach of teaching ICT in combination with mathematics, these are not enough to outweigh the advantages of adopting a more versatile dedicated ICT syllabus, such as that provided by the UKNC.
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Keeping Parents Involved Using 360-Class Monitoring Application
Статья научная
Parents play a vital role contributing towards student achievement. They need to be actively involved in organising and monitoring student time, assisting with homework and discussing school matters. Hence, 360-Class Monitoring application aims to foster better communication between teachers, students and parents. The application enables effective and prompt communication in terms of updating parents on students' school work and assignments as well as school activities. For example, the application provides a platform for a teacher to post assignments which require students' actions along with the submission date. New entries by teachers will trigger email notifications to alert parents. Students and parents are able to view the post once they logged into the system.
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Knowledge Representation by Analogy for the Design of Learning and Assessment Strategies
Статья научная
The difficulty of learning a novel knowledge may not be the same for each learner. Often instructors try to find the easiest way to make a new knowledge understandable by most learners, but few of them give importance to the use of analogies which is the common practice in real life situations. This paper attempts to highlight that learning by analogy allows making the understanding of a novel and complicated knowledge easier. We first propose a model that represents the desired knowledge in an abstract way which allows us to find analogies in different domains. Based on these analogies, learning and assessment strategies can be derived in order to improve the learning outcome. Secondly, the design of a computer system that integrates the analogies, learning and assessment strategies into a digital learning environment is proposed.
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Статья научная
Data mining or the discovery of knowledge out of databases extracts patterns, and useful and non-substantial, implicit, and unknown information from large databases. Searching for associative rules is a data mining method where relationships and dependencies Interactions between a large set of data items are shown. In large organizations, most data are created at the passage of time. Relational tables in a variety of business or scientific domains have rich information, with high quantative and nominal data types. Therefore, in order to gather information, measure performance and increase business efficiency, it is necessary to isolate relational database and store data in a data warehouse. Using the multidimensional data mining that integrates online analytical processing with data mining, knowledge can be found in multidimensional databases. In this article, to avoid inappropriate rules in exploring associative rules, the online analytical processing technique is combined with the Apriori algorithm and explores associative rules on multi-dimensional and multilevel data using the data cubic and Apriori algorithm. In addition, the criteria of accuracy, tool performance, and runtime are defined for comparing techniques for exploring associative rules. The metrics mentioned in the scope of this paper have been compared, and data from the Central Insurance Agency have been analyzed using data cubes and the Apriori algorithm, and useful association rules have been generated. Results of the research displays improvement of the response time compared to the other methods.
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LINE messenger as a transport layer to distribute messages to partner instant messaging
Статья научная
The rapid development of technology generated a lot of instant messaging applications, as an example is LINE Messenger, Telegram, WhatsApp, Facebook Messenger, BlackBerry Messenger, etc. Many instant messaging applications cause some problems, one of which is the possibility of owning more than one instant messaging applications to meet messaging needs. This is very ineffective because messages will be received from various instant messaging applications and have to open all instant messaging applications one by one to reply to those messages. Application Programming Interface technology of instant messaging can be used to build a transport layer system that allows message exchange with several instant messaging applications using only one instant messaging application. The system built in this research requires a master instant messaging to be able to distribute messages to partner instant messaging, which in this case uses LINE Messenger as the master instant messaging to distribute messages to several partner instant messaging, which is Telegram and Extensible Messaging Presence Protocol.
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LLMs Performance on Vietnamese High School Biology Examination
Статья научная
Large Language Models (LLMs) have received significant attention due to their potential to transform the field of education and assessment through the provision of automated responses to a diverse range of inquiries. The objective of this research is to examine the efficacy of three LLMs - ChatGPT, BingChat, and Bard - in relation to their performance on the Vietnamese High School Biology Examination dataset. This dataset consists of a wide range of biology questions that vary in difficulty and context. By conducting a thorough analysis, we are able to reveal the merits and drawbacks of each LLM, thereby providing valuable insights for their successful incorporation into educational platforms. This study examines the proficiency of LLMs in various levels of questioning, namely Knowledge, Comprehension, Application, and High Application. The findings of the study reveal complex and subtle patterns in performance. The versatility of ChatGPT is evident as it showcases potential across multiple levels. Nevertheless, it encounters difficulties in maintaining consistency and effectively addressing complex application queries. BingChat and Bard demonstrate strong performance in tasks related to factual recall, comprehension, and interpretation, indicating their effectiveness in facilitating fundamental learning. Additional investigation encompasses educational environments. The analysis indicates that the utilization of BingChat and Bard has the potential to augment factual and comprehension learning experiences. However, it is crucial to acknowledge the indispensable significance of human expertise in tackling complex application inquiries. The research conducted emphasizes the importance of adopting a well-rounded approach to the integration of LLMs, taking into account their capabilities while also recognizing their limitations. The refinement of LLM capabilities and the resolution of challenges in addressing advanced application scenarios can be achieved through collaboration among educators, developers, and AI researchers.
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Latest Transformations in Scrum: A State of the Art Review
Статья научная
Owing to a big deal of benefits that Agile process models offer to the software industry, they have been the center of attention for a couple of decades for researchers. Scrum has emerged as one of the most prevalent contemporary Agile approaches. It's adaptive and versatile nature makes it appropriate for adoption. Experts have been experimenting and tweaking the practices for last many years to enrich the Scrum. This paper is intended to provide the latest insightful understanding of how the Agile Scrum tailored and adapted in different areas for software process improvement that in turn lead to increased productivity and product quality. A research strategy has been designed to extract the literature since 2016, based on pragmatic transformations of Scrum, subsequently gaining the in-depth perception that is presented in the paper as a comprehensive review and the outcomes are discussed. This work will contribute a state-of-the-art objective summary from which advance research activities can be planned and carried out.
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Latest customizations of XP: a systematic literature review
Статья научная
Software development process model plays a key role in developing high quality software. However there is no fit-for-all type of process model exist in software industry. To accommodate some specific project’s needs, process models have to be tailored. Extreme Programming (XP) is a well-known agile model. Due to its simplicity, best practices and disciplined approach researchers tried to mold it for various types of projects and situations. As a result a large number of customized versions of XP are available now days. The aim of this paper is to analyze the latest customizations of XP. For this purpose a systematic literature review is conducted on studies published during 2013 to 2017. This detailed review identifies the objectives of customizations, specific areas in which customizations are done and practices & phases which are being targeted for customizations. This work will not only serve the best for scholars to find the current XP states but will also help researchers to predict the future directions of software development with XP.
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Lean agile integration for the development of large size projects
Статья научная
Scrum is a well-known agile model due to its strong management practices. It can be mingled with many software development models such as extreme programming (XP), Agile Unified Process, and Feature Driven Development (FDD). Lean is a very popular known process in the automobile industry due to its effective practices such as Kanban bard and smooth workflow. Lean development is gaining popularity in the software industry from the last few years. Lean development is rational, convenient, responsive, and team-based and it adds value to the enterprise. Scrum is useable and practical for small and medium projects but it does not render positive support for the large size projects. In order to adopt Scrum for large size projects, there is a need to integrate Lean and Scrum. It is required to inherit some properties of the Lean into Scrum, without compromising the speed, quality, efficiency, and standards, to accomplish large size projects successfully such as enterprise resource planning (ERP) systems. It is anticipated that the proposed Lean Scrum integration will make it suitable to develop large size projects. The same is accomplished by purposing an integrated LScrum model in this research. The proposed model is validated using a survey to conclude the results. The results of the survey support the proposed integration of Lean and Scrum for the development of large size projects.
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Learner Modeling in Adaptive Educational Systems: A Comparative Study
Статья научная
It's worth noting that the present paper lies within the range of modeling the learner in adaptive educational system as a conceptual modeling of the learner. Thought they are several methods that deal with the learner model; like stereotypes methods or learner profile…, but they are likely unable to handle the uncertainty embedded in the dynamic modeling of the learner. The present paper aims at studding different models and approaches to model the learner in an adaptive educational systems, and coming up with the most appropriate method based on the dynamic aspect of this model. The aim of this study is the argue that the learner model cannot be completely modeled based on one single method through the entire development process, but it needs a combination between several methods that will help for a complete modeling.
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Learner's Satisfactions on ICT Innovations: Omani Learners Viewpoints
Статья научная
Information and Communication Technology (ICT) has significantly improved the educational environment to higher degrees. The teaching and learning methodologies have been changed to greater extends to motivate the instructors and learners. The learner's satisfaction on these ICT innovations depends on their impact in day to day knowledge gaining processes. This paper discusses some major ICT factors that influence the Omani learners and their corresponding satisfaction levels. This research also identified that these technological innovations motivate the learners in self-learning and in future continuing education. The study identified that the overall significant development educational processes and encouragement in the learning processes by information and communication technology innovations have higher impacts on the learners' satisfaction.
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Learning the Related Mathematics to Cryptography by Interactive Way
Статья научная
Cryptography is a complex area in the computer science field due to the complexity of the mathematics involved. The main goal of this paper is to discuss how we can take an advantage of the online interactive tools to facilitate this complex topic. These interactive tools can enhance the students learning better than the traditional way especially when we teach mathematic concepts. We are going to illustrate an online interactive tool that uses the Modular Arithmetic in a virtual environment. A case study was conducted on a group of students from the King Abdulaziz University. The result of evaluating the tool indicates that this tool has good usability in terms of learnability, usefulness, ease of use, and outcome.
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Lesson Study & Learning Study in China (1999-2021): Bibliometric Analysis Based on CNKI
Статья научная
The students' psychological health in high education is still being a problematic issue. This article describes the importance of ensuring students' psychological health in higher education today and related empirical research results. The aim of this paper is exploring and analysis research results focused on students' psychological health. To determine the students' psychological health there were used special psychodiagnostic methods. The components of the psychological health were divided as 1) satisfaction level; 2) perceptions of a healthy lifestyle; 3) emotional stability; 4) psychoemotional state; and 5) attitude towards themselves. Obtained results on students' psychological health indicate specific conclusions about various psychological health indicators and the relationship between behaviour and internal health, including in emotional, cognitive and behavioural areas. The results of this research work showed that one of the important indicators of students' psychological health is a decrease in the level of emotional distress and emotional instability (neuroticism, nervousness), a positive change in students' internal state, and an increase in students' satisfaction with their educational environment. The results could be used in the high education system, especially measuring and monitoring students' psychological health.
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Leveraging the Saudi linked open government data: a framework and potential benefits
Статья научная
Open data initiatives are a crucial aspect of effective e-governance strategy. They embody aspirations towards sociopolitical values of transparency, trust, confidence, and accountability, pertaining to the relationship between a government and its citizens. The importance of such initiatives is especially important for an emerging economy such as Saudi Arabia which is undergoing rapid social changes directed by a contemporary national vision. The effectiveness of open data initiatives depends strongly on (a) the quality of the data available, (b) the soundness of the methodologies and suitability of platforms used to prepare and present the data, and (c) the ability of the data to facilitate the kinds of insights and social-action that are sought from that data to ensure successful e-governance. This paper investigates the feasibility of current Saudi government open data initiatives in this regard. It assesses existing approaches to improve the effectiveness of open government data through transforming it into linked-open data (using the Resource Description Framework [RDF]) by connecting disparate sources of structured data therein. It proposes to improve existing approaches by suggesting a framework for automating the linking sub-process of existing approaches and organizing the data to be queried through SPARQL. Moreover, it evaluates the potential benefit of this proposal by discussing the kinds of policy insights this could generate which would be difficult without it.
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Lifetime of Sensor Network by Exploiting Heterogeneity- A Survey
Статья научная
Wireless sensor networks (WSN) are emerging in various fields. A large number of sensors in these applications are unattended and work autonomously. Lifetime is an important parameter which is critical for different algorithms for data transfer. Moreover it is responsible for the throughput and the failure of the network. Heterogeneous wireless sensor network, on top of clustering technique, has evolved as the major parameter to increase the lifetime of the Sensor network, data transfer, energy consumption and the scalability of the sensor network. This paper surveys the different clustering algorithm and dependencies for heterogeneous wireless sensor network. This paper is for scholars to gain sufficient knowledge of wireless sensor network (WSN), its important characteristics, and performance metrics with factors responsible for a WSN system. It can help a scholar to start a quick research by understanding all the respective parameters and energy oriented strategies in WSN.
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Load Balancing in Cloud Computing: A State of the Art Survey
Статья научная
Cloud computing has proposed a new perspective for provisioning the large-scale computing resources by using virtualization technology and a pay-per-use cost model. Load balancing is taken into account as a vital part for parallel and distributed systems. It helps cloud computing systems by improving the general performance, better computing resources utilization, energy consumption management, enhancing the cloud services' QoS, avoiding SLA violation and maintaining system stability through distribution, controlling and managing the system workloads. In this paper we study the necessary requirements and considerations for designing and implementing a suitable load balancer for cloud environments. In addition we represent a complete survey of current proposed cloud load balancing solutions which according to our classification, they can be classified into three categories: General Algorithm-based, Architectural-based and Artificial Intelligence-based load balancing mechanisms. Finally, we propose our evaluation of these solutions based on suitable metrics and discuss their pros and cons.
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Log-File Analysis to Identify Internet-addiction in Children
Статья научная
The problem of the Internet addiction (IA) arose after the rise of the Internet. Some of the Internet users include children and teenagers and they are active in a virtual environment. Most minor users are not well aware of the dangers posed by information abundance. One of these dangers is the IA. Excessive use of the Internet is addictive, and some users experience a high risk of addiction. IA can negatively affect the children's health, psychology, socialization and other activities. There is a great need to the development of forecasting programs and various technological approaches for the identification of IA among Internet users, especially children and adolescents. This article uses machine-learning techniques to detect IA. Activities of children in the Internet environment is analyzed. The log-files of children and their IA problem are explored. To determine the degree of IA among children and adolescents an experiment is conducted on public dataset. The effectiveness of the methods is analyzed by various evaluation metrics and promising results are obtained.The results show better performance of Weighted SVM, compared to BernoulliNB, Logistic Regression, MLPClassifier, SVM classifiers. Acquired results of the research provide kids information security. To evaluate a kids IA helps to identify their psychological conditions, and it creates a better situation for parents, teachers, and other related people to communicate with children and teenagers better way.
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Lossy Compression of Color Images using Lifting Scheme and Prediction Errors
Статья научная
This paper presents an effective compression technique for lossy compression of color images. After reducing the correlation among R, G and B planes using YCoCg-R transform, the Integer Wavelet Transform (IWT) is applied on each of the transformed planes independently up to a desired level. IWT decomposes the input image into an approximation and several detail subbands. Approximation subband is compressed losslessly using prediction errors and Huffman coding, while each of the detail subbands are compressed independently using an effective quantization and Huffman coding. To show the effectiveness of proposed scheme, it is compared with several existing schemes and a state of art for image compression JPEG2000 and it is observed that the proposed scheme outperforms over the existing techniques and JPEG2000 with less degradation in the quality of reconstructed images while achieving high compression performance.
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