87 articles for “Learning Management System”

Research ArticleOpen accessEvery word in the titleA System for E-Learning Processes ManagementHassan Mohammed M. ElmetwalyProblem statement: This research deled with difficulties and challenges facing students in their seek to reach specialized courses and curriculums. Approach: It also deled with methodology of facing such challenges and difficulties and hence facilitating process of allowing such data and information to all beneficiaries, either they are student, trainees or educational organization all over the world. Results: E-learning system … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,920 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsSocial Interactions for Academic Purposes in Literature Classes for Non English SpeakersAi Chun YenProblem statement: This study reports how Learning Communities (LCs) and Online Learning Communities (OLCs) can improve Taiwanese EFL students’ lack of Social Interactions (SIs) and acdemic skills in literature classes (Y1, N = 40) by involving freshmen in a social process that encourages student-student and student-instructor discussion, interpretation, production and negotiation. Approach: The data collected from the database of the … …Journal of Social Sciences, Vol. 8, Issue 3 · 16 Jul 2012 · 7,276 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsContribution of Integrated Management Systems to University Management: Case Study of the Federal University of Rio Grande Do NorteLucas A.B.D Oliveira, Natalia V.C.D Vasconcelos, Fernanda C.B.P Queiroz et al.Problem statement: The Higher Education Institutions (IHL) have intensified process of introducing undergraduate and graduate courses to more remote regions, which expanded the scope of what these institutions and allowed the formation of population of these regions. This expansion (whether by on-campus or distance learning) presents new challenges for university management and integration of the players involved in this process. … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 7,792 accessesView PDF Cite

Review ArticleOpen accessIn the keywordsAdvances in Forest Fire Detection, Prediction and Behavior: A Comprehensive SurveyAhmad Alkhatib, Khalid JaberForest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,419 accessesView PDF Cite

Review ArticleOpen accessIn the keywordsIntegrating Data Mining Methods Across all Domains of a Smart CityRushit Dave, Nuo Xu, Simon Arneberg et al.As modern cities continue to develop, smart devices are being used to improve citizens’ lives. As these devices become more sophisticated, the amount of information that they collect increases. A Smart City is a city that uses a large amount of generated data to constantly improve the services offered to the people that live there. Data mining techniques can be … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 7,075 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA NOVEL EMAIL RESPONSE ALGORITHM FOR EMAIL MANAGEMENT SYSTEMSAbdulkareem Al-AlwaniEmail has been one of the most commonly used tool for communication in the recent years and email management has evolved as a major challenge due to prevailing situation of online email congestion. This study presents a novel algorithm for automatic email response methodology in an Email Management System to minimize email overload. The proposed model uses Bayes classifier to … …Journal of Computer Science, Vol. 10, Issue 4 · 23 Dec 2013 · 7,049 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsResearch of Modular Object Oriented Dynamic Learning Environment E-Learning on Social Study for Elementary School StudentsTian-Syung Lan, Shu-Chun ChiuProblem statement: As the progress of digital technology, involving e-learning into curriculum becomes a novel trend. In general, the teaching practice of social study for elementary school students in Taiwan still depends on teacher’s one-way instruction. It’s difficult to activate students’ motivation within the limited course time. Approach: This study is proposed to recognize how e-learning improves teaching and learning … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 18 May 2011 · 7,731 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA Technique for Quality Evaluation of E-Learning from Developers PerspectiveMajdi Abdellatief, Abu Bakar Md Sultan, Marzanah A. Jabar, Rusli AbdullahProblem statement: E-learning is gaining more acceptance as days pass because it provides learning opportunity any time and in any place. Different people have different preferences in terms of learning style such as reading text, listing audio or video, speaking and communication. To support these different learning preferences, there is need for multiple e-learning delivery methods and teaching techniques. Furthermore, … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 9,481 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAI-Integrated Probabilistic Optimization for Inventory Control Under Stochastic DemandJanardan BeheraThe identification and operationalization of increasingly nonstationary and volatile demand patterns challenge the conduct of inventory management in contemporary supply chains. The classical models, especially EOQ and static policies, rest on the stability of demand assumptions, either deterministically or distributionally, and are hence less apt under real-world uncertainty. In view of these limitations, the present study puts forward an integrated … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 6 May 2026 · 2,217 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEfficient Rainfall Forecasting Using Sequential Momentum-Based Artificial Neural Networks for Urban Flood ManagementSherin K K, G. SuganthiUrban floods cause severe disruption in densely populated cities and damage essential public infrastructure. Rapid urbanization and weak drainage systems further increase the risk during heavy rainfall. Accurate short-term rainfall forecasting is required to support early warning and reduce losses. This research focuses on improving rainfall prediction accuracy using an Artificial Neural Network trained with a new optimizer named Sequential … …Journal of Computer Science, Vol. 22, Issue 4 · 9 Apr 2026 · 1,539 accessesView PDF Cite