International Journal of Modern Education and Computer Science @ijmecs
Статьи журнала - International Journal of Modern Education and Computer Science
Все статьи: 1096
AI-Driven Alignment of Educational Programs with Industry Needs and Emerging Skillsets
Статья научная
This research investigates the transformative potential of Artificial Intelligence (AI) in aligning educational programs with industry requirements and emerging skill sets. Developed and preliminarily tested an AI-driven framework designed to personalize learning paths, recommend pertinent educational content, and improve student engagement. The AI models achieved a peak classification accuracy of 90% in identifying educational materials relevant to industry needs, with an optimized average recommendation response time of 0.4 seconds. These results were derived from pilot testing involving 300 students (150 in the control group and 150 in the experimental group), with statistical significance confirmed using t-tests and chi-square tests. In pilot studies, students using AI-recommended materials experienced an average improvement of 15% in assessment scores compared to those using traditional methods. To validate these improvements, used both t-tests and chi-square tests to confirm statistical significance, with a control group of 150 students following traditional educational methods. Additionally, educators reported a 75% engagement rate with AI-driven learning paths, indicating strong acceptance and effective integration of AI tools within educational environments. The control group comparison showed that students using traditional methods had a significantly lower engagement rate of 60%, confirming the higher efficacy of the AI system. However, these results should be interpreted cautiously as further detailed statistical analysis and control mechanisms are necessary to fully validate the effectiveness of the AI framework. The study highlights the importance of addressing ethical considerations such as data privacy, algorithmic bias, and transparency to ensure responsible AI deployment. The results underscore AI's potential to enhance educational outcomes, adapt curricula dynamically, and better prepare students for future career demands, contributing to a more relevant and industry-aligned educational system.
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AISQA - An Artificial Immune Question Answering System
Статья научная
Question answering (QA) is the task of automatically answering a question posed in natural language. At this time, there exists several QA approaches, and, according to recent evaluation results, most of them are complementary. Some of them use the evolutionary algorithms, such as the genetic algorithm, in itself. In this paper we propose a question answering system that uses the artificial immune algorithms, for searching in the knowledge base to find the right answer. This algorithm is one of the evolutionary algorithms. Search is based on two features: (i) the compatibility between question and answer types, (ii) the overlap and non-overlap information between the question-answer pair. Experimental results are encouraging; they indicate significant increases in the accuracy of proposed system, in comparison with the previous systems.
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AMMAS: Ambient Mobile Multi-Agents System: Simulation of the M-Learning
Статья научная
Recent years have witnessed the increase of the field of mobile learning, fostered by the continuous development of mobile computing and wireless technology, today the mobile learning presents a fundamental approach to satisfy our daily needs and requirements. Specifically, in this work, we aim to study as model and simulate the ambient mobile system which is based on intelligent agents. The mobile agent is not based on the traditional client server however it is based on the distributed ones. The present article proposes a mobile intelligent agent based architecture for the M-Learning that aims to facilitate the teacher and student acquisition. M-Learning is a new research area which became a principal tool for our education system. So we produced an adapted agent based approach for an efficient flexible. In our work we proceed as follows: first, we introduce the scope and the genesis of our research, second, we hold out the m-learning is the next generation of e-learning, afterwards, we present our AMMAS (Ambient Mobile Multi-Agents System) model for the M-Learning and an overview of the system implementation, and finally we conclude our work and give some perspectives.
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Статья научная
Quality of cognitive abilities and increased positive character of students in following a learning process during social distancing can still be realized even though the implementation is done from home. This can happen if a good learning design has been formed. Based on that situation, the purpose of this research was to show the existence of innovation in the form of a learning design that combines asynchronous and synchronous learning strategies by inserting ANEKA concepts. The method for developing this learning design was R&D which uses 4D design (Define, Design, Develop, and Disseminate). Subjects who were involved in evaluation toward learning design were four experts. The location of this research was conducted at one of the IT Vocational School in the North of Bali region. Data collection techniques used questionnaires. Data analysis was conducted through a comparison technique between the effectiveness percentages of learning design with categorization based on the range of effectiveness percentages. The research results showed the effectiveness level of asynchronous and synchronous learning design based on ANEKA was included in the very high category with a percentage was 89.00%.
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About Big Data Measurement Methodologies and Indicators
Статья научная
The digitization of nearly all media and the increasing migration of social and economic activities to the İnternet, the development of social networking technologies, the İnternet of Things and cloud computing caused rapid increase in the volume of data and the formation of Big Data paradigm. Big Data involves technologies and tools for collecting, processing, analyzing and extracting useful knowledge from structured and unstructured data of large volumes generated at high speed by different sources. Increasing the volume, speed, diversity and value of Big Data began to play an important role in the creation of social relationships, competitive advantage and innovative fields. The development of the information society, the formation of digital economy, and the application Big Data technologies in different spheres of human activity required the quantitative and qualitative assessment of Big Data. In this article some approaches relate to the definition of Big Data have been reviewed. Methodological approaches and indicators for measuring Big Data have been researched. At the end, the indicators have been proposed for the measurement of factors that affected the growth and development of Big Data.
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Acceptance of E-Learning among Undergraduates of Computing Degrees in Sri Lanka
Статья научная
E-learning has become a most popular learning approach of higher education in Sri Lanka, due to the advancements of Information Technology. This study focused on the undergraduates' acceptance of e-learning as an effective tool. The successfulness of implementing e-learning requires the understanding of end-user acceptance process. Therefore, this study focused on investigating the acceptance of e-learning approach among undergraduates in Western Province, Sri Lanka. The aim of this research was to provide a set of factors to be considered when an E-learning activity is planned and proposed to E-learners in universities of Sri Lanka. The Technology Acceptance Model which was modified by including some factors was used as the basic framework of this study which was suitable for achieving the objectives of the research. This study was based on total sample of 209 students who are following Computing degrees in the universities located in Western Province, Sri Lanka. The results of this study suggested that university students tend to focus more on perceived ease of use on e-learning and the students' attitude has more influence on intention to use e – learning. So it could be concluded that providing more technological facilities with infrastructure would increase the positive attitude towards using e-learning among university students and behavioral intention to use.
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Accuracy assessment of similarity measures in collaborative recommendations using CF4J framework
Статья научная
There are various libraries that facilitate the design and development of recommender systems (RSs) research in both the academia and industry. Different libraries provide a different set of functionalities based on their foundational design principles. When new algorithms are proposed, researchers need to compare these against prior algorithms considering many challenges such as reproducibility of results, evaluation metrics, test harnesses, etc. Although many open source RS libraries exist to carry out research experiments and provide a varying degree of features such as extensibility, performance, scalability, flexibility, etc. To that end, this paper describes a recently introduced open-source RS library, Collaborative Filtering for Java (CF4J), which is specially designed for collaborative recommendations. Firstly, the brief internals of the CF4J framework are explained and it has been compared with other related libraries such as LibRec, LensKit, and Apache Mahout based on the recommendation approaches and evaluation tools. Secondly, we have summarized all the state-of-art similarity measures provided by the CF4J library. Finally, in order to determine the accuracy of these similarity measures, several experiments have been conducted using standardized benchmark datasets such as MovieLens-1M, MovieLens-10M, and MovieLens-20M. Empirically obtained results demonstrate that the Jaccard-Mean Squared Difference (JMSD) similarity measure provides better recommendation accuracy among all similarity measures.
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Статья научная
Tests are a source of anxiety and have proved to impact the grades among students. In addition, students do not have the time to prepare for their exams. The ultimate goal of the instructor is to create and offer an environment that reduces the examination stress while maximizes learning in the little time available to the students. The demand on students’ available time is a major challenge. Although active learning has been utilized to increase student engagement and ultimately increase learning, it has never been used to reduce the test anxiety, increase learning in relation to available-student-time or attempt to increase learning with respect to available student time. Student time has been recognized as the most precious resource in learning. This paper proposes a mechanism of active learning, when employed can create an environment for less stressful exam taking while boosting and amplifying learning in a limited amount of time. Various pedagogical and psychological theories have been explored to develop this methodology that has been employed in three different semesters. The results have shown that students prefer this less stressful mechanism of testing and improved learning and students have commented that they felt they were on top of the materials being covered in class throughout the year and felt prepared for the final with little or no preparation for the final exam. In addition, students felt reduced stress during the test taking.
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Activity Based Quality Model for Evaluating Web2.0 Applications
Статья научная
Quality is key term to be considered when developing the Web applications. If this is not adequately measured; there will be little to force users to use web applications. The focus of Web2.0 is to enhance the interactions between the application and end users and among users. The main challenge of this research is to identify the key quality attributes that gain the end user attention towards the Web applications. There are many Quality Models available for measuring the W2A (Web2.0 Applications). This paper has a critical review of the previously defined quality models. It defines a theoretical quality model containing essential attributes to assess the quality of W2A.
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Activity Recognition with Multi-tape Fuzzy Finite Automata
Статья научная
Recognizing the activities performed by the user in an unobtrusive manner is one of the important requisites of pervasive computing. Users perform a number of activities during their day to day life. Tracking and deciding what a user is doing at a given time involves a number of challenges. The lack of a precise pattern in doing an activity at different times is one among them. The number, order, and duration of the different steps involved in an activity vary significantly, even when the activity is done by the same user at different times. To overcome these challenges, a number of simultaneous inputs have to be handled with provisions for handling variations in number, order and duration of these inputs. This paper explains how multi-tape fuzzy finite state automata can be used to effectively recognize human activities. The method explained is found to give good results when tested using publicly available activity datasets collected in a smart home environment.
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Adaptive Clustering Method for Panel Data Based on Multi-dimensional Feature Extraction
Статья научная
Aiming at the problems of large information loss and feature loss in the similarity design of high-dimensional panel data in clustering, a new panel data clustering method was proposed, which named an adaptive clustering method for panel data based on multi-dimensional feature extraction. This method defined "comprehensive quantity", "absolute quantity", "growth rate", "general trend" and "fluctuation quantity" of samples to extract features, and the five features were weighted to calculate the samples comprehensive distance. On this basis, ward method is used for clustering. This method can greatly reduces the loss of effective information. To verify the effectiveness of the method, cluster empirical analysis was conducted using GDP panel data from 31 regions in China, and the clustering results were compared with those of other clustering models. The experimental results showed that the proposed model was more interpretable and the clustering results were better.
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Adaptive Compensation of Unknown Actuator Failures for Strict-feedback Systems
Статья научная
Actuator failures are inevitable in practice especially in complex systems. The unknown failure may cause instability and catastrophic accidents during operation of control systems. A state feedback control scheme is proposed by using backstepping techniques. Compared with exist results, The uncertainties caused by total failure are seen as the bounded term and an estimator is designed to estimate its upper bound. The stability of closed loop system and output tracking performance can be guaranteed by our control law and corresponding update laws of uncertain parameters.
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Adaptive Framework to Manage Multiple Teams Using Agile Methodologies
Статья научная
The increased demand of agile methods results in challenging and unique problems, one of which is the unsuitability of agile methods for software development companies, particularly those with multiple teams. Secondly, agile methods are silent regarding how to achieve long-term organizational goals within the umbrella of agile software engineering. Considering these software industry problems, a new contemporary learning-based adaptive framework is proposed in the domain of agile methods. The proposed framework will help software companies to achieve long-term organizational goals. It is anticipated that the proposed framework will increase employee satisfaction by improving their technical skills and interpersonal communication capabilities using contemporary learning and knowledge-sharing activities. A survey is conducted from multinational software companies to validate the proposed adaptive framework, and the results are notably supportive and encouraging.
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Статья научная
The senior project stage in bachelor’s degrees represents an essential milestone in the learning process of a Computer Science (CS) student. The Senior Project Management System (SPMS) plays an important role in refining the quality of the resulting product and improving the learning experience of students. The CS department at King Abdulaziz University (KAU) has followed a well-defined system for managing senior projects since 2012. Systems evolve through time in response to encounters that unfold when the system is put to use. The administration of CS senior projects is no exception. In this paper, we present some incremental changes that have been introduced as refinements to the original system. This paper focuses on analyzing the data of the projects conducted during 2015 and 2016 in the Computer Science Department, Girls Main Campus (GMC) branch from the following perspectives: the project plan and deliverables at each milestone, and the provision of constructive mature collective feedback by the evaluating committee. These refinements are called addendums as they are additional steps to the SPMS and each step is monitored by using forms. This paper also describes some practices that support the SPMS along with the rationale behind their application. Evidence for the two addendums have been collected from analysis of the relevant forms. The analysis showed that the students benefited from the flexibility introduced by the milestone addendum as they made use of the new options. In addition, analysis of the forms of the feedback addendum showed that this documentation served as a means to gather the overall collective opinion of the committee members as opposed to the individual assessment of each member. Additional evidence was collected from evaluation committee members, by conducting a questionnaire. It showed that participants do benefit from the discussion promoted by the feedback addendum.
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Adoption of Blended Learning in Ghanaian Senior High Schools: A Case Study in a Less Endowed School
Статья научная
During COVID-19 pandemic, most tertiary institutions in Ghana were compelled to continue delivering of lectures online using internet technologies as was in the case of other countries. Senior high schools in Ghana were, however, not asked to do same, currently, the setting of most literature on blended or online learning in Ghana is focused on tertiary education. This paper situates the blended learning model in a less endowed senior high school to unearth the prospect of its implementation. The research provides an alternative to the traditional face-to-face learning, which is faced with the challenge of inadequate infrastructure, high number of students to class ratio, less compatibility with 21st learning skills and long-life learning in Ghana. A customed Moodle application as web application tool, hosted students online in both synchronous and asynchronous interactions. Purposive quota sampling size technique was used to select an appreciable sample size to fully go through the traditional face-face model for a term and then study through the blended learning model for another term. Students’ examination performances for both were analyzed with a paired t test statistical model. Interviews with participants were conducted to ascertain their evaluation of the blended learning model and questionnaires were also administered to discover the institutional, technological, and human resource readiness for blended learning in senior high schools. The analysis of the data gathered, proved that blended learning in senior high schools has high prospect and is better alternative to face-to-face learning in Ghana.
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Статья научная
To enhance undergraduates employment competitive advantages, communication and expression capability and team cooperation ability in engineering practice experiences, an experience training program is adopted to cultivate compound international talents of software development required by software companies. For the training program, knowledge spans and integration extent of teaching contents, implementation flow and flexible evaluation methods are also illustrated in detail. Especially during practical training project selected from software companies, students are guided to cooperate with team members to complete regular software development, which will improve their employment competence and make them fit for their future work more rapidly. With auxiliary experience training online teaching platform, three times of training program has been carried out successfully and a statistics table shows effects of the training program.
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Статья научная
In our modern era of Internet, mobile and digital information technology, adoption of innovative education strategies to the needs of the time is quite important particularly at private educational institutions which cater to economically affluent students who are becoming picky and often more interested in their distractions than in their studies. Ritsumeikan Asia Pacific University (APU) which was established in the year 2000 with an aim of becoming a hub for shaping the future of Asia-Pacific region by creating world class leaders in science, management, and economics through a bilingual curriculum, international under-standing, promotion of freedom, peace, humanity, and sensitiveness to the needs of the time, has integrated multimodal approach towards enhancing the quality of teaching and learning, and provides a total student support and care system. As a millennium university, it is equipped with state-of-the-art classrooms and tries to enhance its educational endeavors through proper use and efficient adaptation of educational technologies into its teaching pedagogies. However, due to being a private university and charging handsome tuitions fees, it has been attracting some of the most affluent students onto the campus, many of whom are often more interested in their distractions than in their studies. The decline in youth population and the economic slowdown in Japan have also adversely affected the quality of incoming students. This paper attempts to explain how APU tries to assure quality of their graduates despite the abovementioned problems through blended learning, peer knowledge sharing, adaptation of Blackboard (Bb, the most commonly implemented Web-based learning management system), portfolio, active learning, student support, academic advising, and by providing of a natural learning environment.
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Статья научная
Due to tremendous growth in communication technology, now it is a real problem / challenge to send some confidential data / information through communication network. For this reason, Nath et al. developed several information security systems, combining cryptography and steganography together, and the present method, ASA_QR, is also one of them. In the present paper, the authors present a new steganography algorithm to hide any small encrypted secret message inside QR CodeTM , which is then randomized and then, finally embed that randomized QR Code inside some common image. Quick Response Codes (or QR Codes) are a type of two-dimensional matrix barcodes used for encoding information. It has become very popular recently for its high storage capacity. The present method is ASA_QR is a combination of strong encryption algorithm and data hiding in two stages to make the entire process extremely hard to break. Here, the secret message is encrypted first and hide it in a QR CodeTM and then again that QR CodeTM is embed in a cover file (picture file) in random manner, using the standard method of steganography. In this way the data, which is secured, is almost impossible to be retrieved without knowing the cryptography key, steganography password and the exact unhide method. For encrypting data The authors used a method developed by Nath et al i.e. TTJSA, which is based on generalized modified Vernam Cipher, MSA and NJJSA method; and from the cryptanalysis it is seen that TTJSA is free from any standard cryptographic attacks, like differential attack, plain-text attack or any brute force attack. After encrypting the data using TTJSA,the authors have used standard steganographic method To hide data inside some host file. The present method may be used for sharing secret key, password, digital signature etc.
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Advances in Mechanics and Outlook for Future Mankind Progress
Статья научная
Three problems for the interaction between N bodies to which exact solutions were obtained are discussed. In the first problem, the bodies are located axisymmetrically in a plane. Possible trajectories of the bodies here are ellipses, parabolas, hyperbolas, or straight lines. Results of solving this problem are further used for solving problems about Earth's rotation and Mercury's perihelion. In the second problem, the body system consists of several layers, and it rotates as an entity. In the third problem, the bodies are uniformly distributed over a sphere, and they move experiencing no mutual collisions. The latter problem allows the formation of several planets, for instance, one hundred planets resembling the Earth and moving under identical conditions with respect to the Sun. The latter possibility opens a way toward unrestricted mankind progress.
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Age Dependent Face Recognition using Eigenface
Статья научная
Face recognition is the most successful form of human surveillance. Face recognition technology, is being used to improve human efficiency when recognition faces, is one of the fastest growing fields in the biometric industry. In the first stage, the age is classified into eleven categories which distinguish the person oldness in terms of age. In the second stage of the process is face recognition based on the predicted age. Age prediction has considerable potential applications in human computer interaction and multimedia communication. In this paper proposes an Eigen based age estimation algorithm for estimate an image from the database. Eigenface has proven to be a useful and robust cue for age prediction, age simulation, face recognition, localization and tracking. The scheme is based on an information theory approach that decomposes face images into a small set of characteristic feature images called eigenfaces, which may be thought of as the principal components of the initial training set of face images. The eigenface approach used in this scheme has advantages over other face recognition methods in its speed, simplicity, learning capability and robustness to small changes in the face image.
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