Статьи журнала - International Journal of Modern Education and Computer Science
Все статьи: 968
A partial string matching approach for named entity recognition in unstructured Bengali data
Статья научная
In today's data driven, automated and digitized world, a significant stage of information extraction is to look for special keywords, more formally known as 'Named Entity'. This has been an active research topic for more than two decades and significant progresses have been made. Today we have models powered by deep learning that, although not perfect, have near human level accuracy on certain occasions. Unfortunately these algorithms require a lot of annotated training data, which we hardly have for Bengali language. This paper proposes a partial string matching approach to identify a named entity from an unstructured text corpus in Bengali. The algorithm is a partial string matching technique, based on Breadth First Search (BFS) search on a Trie data structure, augmented with dynamic programming. This technique is capable of not only identifying named-entities present on a text, but also estimating the actual named-entities from erroneous data. To evaluate the proposed technique, we conducted experiments in a closed domain where we employed this approach on a text corpus with some predefined named entities. The texts experimented on was both structured and unstructured, and our algorithm managed to succeed in both the cases.
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A proposed framework to analyze abusive tweets on the social networks
Статья научная
This paper takes Twitter as the framework and intended to propose an optimum approach for classification of Twitter data on the basis of the contextual and lexical aspect of tweets. It is a dire need to have optimum strategies for offensive content detection on social media because it is one of the most primary modes of communication, and any kind of offensive content transmitted through it may harness its benefits and give rise to various cyber-crimes such as cyber-bullying and even all content posted during the large even on twitter is not trustworthy. In this research work, various facets of assessing the credibility of user generated content on Twitter has been described, and a novel real-time system to assess the credibility of tweets has been proposed by assigning a score or rating to content on Twitter to indicate its trustworthiness. A comparative study of various classifying techniques in a manner to support scalability has been done and a new solution to the limitations present in already existing techniques has been explored.
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Статья научная
In literature, combinatorial optimization problems have been solved using several hybrid strategies. From the principles of software engineering, it is explicit that modelling enables better understanding of the problem’s solution as well as the various parts that constitute the solution. However, the literature reveals that there is less importance attached to modelling the problem’s solution while solving combinatorial optimization problems using hybrid strategies. Therefore, in order to better understand the advantages and significance of using a model based approach in solving such problems, a survey on model based approach and the various properties achieved by modelling has been carried out. A comparison of the algorithm or technique based approach, framework based approach and model based approach is done to better understand the differences between the approaches and their outcomes. From the comparison made between the approaches and the analysis made on the advantages of using a model based approach in solving combinatorial optimization problems using hybrid strategies, it is found that a model based approach gives clear and better understanding of complex problems by making their representation easily modular, understandable, adaptable, verifiable, reliable, customizable, reusable etc. Further, when hybrid strategies are used, and the problems solution is depicted in the form of a model, every part of the model could be implemented using different algorithms and frameworks, thus aiding to identify the optimal algorithm or framework for every part of the model, as well as the most efficient hybrid combination that solves the whole problem in an optimal manner.
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Статья научная
Student attrition among undergraduate students is among the most concerned issues in higher educational institutions in Malaysia and abroad. This problem arises when these students unable to complete their studies within the stipulated period when there are majoring in the Science, Technology, Engineering, and Mathematics (STEM) fields. Research findings highlight numerous factors contribute to the student attrition. These findings also suggest that the factors differ from one case to another case. Effects of student attrition not only for the student itself but also to the institutions and community. It is challenging to classify the factors based on general assumptions. Moreover, increasing students’ information makes the problem more complicated. This student information can provide a useful database for analytical analysis. Methods such as big data analytics and data mining techniques can be deployed to gain insights and pattern that related to student attrition problem. The objective of this paper (i) review the student attrition in higher education (HE) and the contributing factors; and (ii) review the existing computational model to analyze and predict student attrition in HE.
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A rule based extractive text summarization technique for Bangla news documents
Статья научная
News summarization is a process of distilling the most important information from a news document in a precise way. For the advancement of Internet nowadays almost all of the Bangla newspapers have their online versions, and people of this era like to read newspaper from website using Internet. But large amount of electronic news content is a burden for human to come out with valuable information. For mitigating this pain point, this paper proposes an automatic method to summarize Bangla news document. In this proposed approach, graph based sentence scoring feature is introduced for the first time for Bangla news document summarization. After analyzing vast amount of Bangla news document 12 sentence scoring features have been introduced for calculating score of a sentence. An improved summary generation method has also been proposed which remove the redundant information from summary. The result is evaluated using a standard summary evaluation tool called ROUGE, and found proposed method outperforms all existing methods used in Bangla news summarization.
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A speaker recognition system using gaussian mixture model, EM algorithm and K-Means clustering
Статья научная
The automated speaker endorsement technique used for recognition of a person by his voice data. The speaker identification is one of the biometric recognition and they were also used in government services, banking services, building security and intelligence services like this applications. The exactness of this system is based on the pre-processing techniques used to select features produced by the voice and to identify the speaker, the speech modeling methods, as well as classifiers, are used. Here, the edges and continuous quality point are eliminated in the normalization process. The Mel-Scale Frequency Cepstral Coefficient is one of the methods to grab features from a wave file of spoken sentences. The Gaussian Mixture Model technique is used and done experiments on MARF (Modular Audio Recognition Framework) framework to increase outcome estimation. We have presented an end pointing elimination in Gaussian selection medium for MFCC.
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A sustainability theme for introductory programming courses
Статья научная
Sustainability is an important topic for modern college and universities, many of whom are actively promoting sustainable practices and integration of sustainability topics into course curricula. The inclusion of socially-relevant projects and course “themes” has been shown to assist in attracting students to Computer and Information Science, and practical, problem-based applications have also been shown to attract females and underrepresented groups to the discipline. In Computer and Information Science education, most documented approaches attempt to integrate sustainable computing topics either as learning modules, open-ended project topics, or as concentrated courses. This paper describes a lightweight, non-intrusive pedagogical approach to integrating sustainability education in introductory programming courses. By creating introductory programming projects focused on sustainability topics, students are exposed to the general concepts and terminology involved with the important scientific and societal topic. This approach also allows students to see the practical applications of computing in a socially relevant context. Results of a two-year study of this approach have been encouraging, though more work is needed to assess the full impact of this approach and to overcome the limitations of the implementation context.
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A web based approach for teaching and learning programming concepts at middle school level
Статья научная
One of the major concerns in teaching and learning programming concepts is the complexity of syntax and precision of semantics of programming languages. Traditional teaching methods are static and passive i.e. they do not engage students in an interactive manner thereby making it difficult for students to grasp the contents and instructors to convey the instruction. This obstacle even becomes challenging when programming courses are to be taught to beginners. To cope up with this challenge, this work has proposed and prototyped a system that is aimed to focus on students at their middle level of education. Multimedia technology i.e. videos have been used to plunge the students in an interactive environment where learning JavaScript programming becomes fun instead of a mind-burden. Visualization concepts have been incorporated to provide visual learning for variables, loops, control structures, functions etc. This application is dynamic in nature that is user can not only understand the programming concepts but can also run the codes using code panel. The designed system has been tested to ensure the functionality, performance and feedback from the targeted users as discussed in results section.
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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 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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