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40 results for “Learning Motivation”
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Review ArticleOpen accessIn the abstractFederated Learning for Analysis of Medical Images: A SurveyMuhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin et al.Machine learning models trained in medical imaging can help in the early detection, diagnosis, and prognosis of the disease. However, it confronts two major obstacles: deep learning models require access to a substantial amount of imaging data, which is a hard constraint, and the patient data is private and sensitive, so it cannot be shared like 1 other imaging data … …Journal of Computer Science, Vol. 20, Issue 12 · 28 Oct 2024 · 11,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Synthetic Oversampling Algorithm for Handling Class Imbalance in Multi-Class Data Stream ClassificationPriya S., Annie UthraConcept drift and class imbalanced data are major challenging processes involved in modern streaming data classification. Particularly, when integrated with difficult factors like the existence of noise, overlapping class distribution, concept drift, and data imbalance can considerably affect the classifier results. In addition, various challenges affect the performance of the existing oversampling schemes such as SMOTE and its derivatives. Regardless … …Journal of Computer Science, Vol. 18, Issue 7 · 26 Jul 2022 · 5,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Agri Wine: An Artificial Intelligence Approach to Predict Wine QualityGaurang S Patkar, D. BalaganeshLately the item quality has been one of the critical parts of each and every industry. The customary strategies for surveying the item quality are exceptionally tedious and furthermore not having the ideal outcome with the resultant in unique Technology development. Through the ideas of Artificial Intelligence (AI) and Information Science (IS) it is more productive to evaluate or to … …Journal of Computer Science, Vol. 17, Issue 11 · 27 Nov 2021 · 6,615 accessesView PDFCite
Research ArticleOpen accessIn the abstractBig Data in Educational Institutions using RapidMiner to Predict Learning EffectivenessEvaristus Didik Madyatmadja, David Jumpa Malem Sembiring, Sinek Mehuli Br Perangin Angin et al.Schools, universities, colleges and other educational institutions store a lot of data related to students and teachers as well as those related to education. You can analyze this data to gain insights that can improve the operational efficiency of your organization. Educational institution's needs based on student behavior, student exam results, each student's growth and changed educational regulations can be … …Journal of Computer Science, Vol. 17, Issue 4 · 29 Apr 2021 · 6,834 accessesView PDFCite
Research ArticleOpen accessIn the abstractGamification After Almost a Decade: Is it Still Relevant? A Case of Non-STEM Hybrid E-learning University CourseAndrija Bernik, Danijel Radošević, Jasmina DvorskiGamification is a common and familiar term so far and it can be seen in almost every part of human activity. It's been nine years since the terminology first appeared in Gartner's Hype Cycle Report in 2011, however, higher education institutions still do not apply computer game elements to online Learning Management Systems (LMS). The problems encountered are related either … …Journal of Computer Science, Vol. 16, Issue 5 · 20 May 2020 · 7,248 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiabetic Retinopathy Detection using Deep Learning TechniquesAswin Shriram Thiagarajan, Jithendran Adikesavan, Santhi Balachandran, Brindha Ganapathyagraharam RamamoorthyDiabetic Retinopathy is a type of eye condition induced by diabetes, which damages the blood vessels in the retinal region and the area covered with lesions of varying magnitude determines the severity of the disease. It is one of the most leading causes of blindness amongst the employed community. A variety of factors are observed to play a role in … …Journal of Computer Science, Vol. 16, Issue 3 · 13 Mar 2020 · 10,272 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigating the E-Learning Acceptance in Oman: Application of Structural Equation Modelling ApproachSalim Amor Al-Hajri, Syed Ghayas, Abdelghani EchchabiSimilar to many developing countries, Oman recognizes the importance of e-learning and Information Communication Technology (ICT) to enhance the higher education standards and compete in the global education markets. Many higher education organizations today expect e-learning to add value to their organization and hence improve the economy by extending their educational services to students and other students who are not … …Journal of Computer Science, Vol. 14, Issue 3 · 17 Mar 2018 · 8,392 accessesView PDFCite
Research ArticleOpen accessIn the abstractGamification in E-Learning: Introducing Gamified Design Elements into E-Learning SystemsDaniel Strmečki, Andrija Bernik, Danijel RadoševićGamification is the usage of game mechanics, dynamics, aesthetics and game thinking in non-game systems. Its main objective is to increase user’s motivation, experience and engagement. For the same reason, it has started to penetrate in e-learning systems. However, when using gamified design elements in e-learning, we must consider various types of learners. In the phases of analysis and design … …Journal of Computer Science, Vol. 11, Issue 12 · 11 Feb 2016 · 11,336 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE IMPACT OF SERVICE-LEARNING CURRICULUM AT A LOCAL AT-RISK HIGH SCHOOL: AN EXAMINATION OF PRELIMINARY DATARoxanne Helm-Stevens, Randy Fall, Cloyd Havens et al.Over the years, there has been substantial research highlighting the effectiveness of service-learning from the perspective of the student in the classroom. Multiple studies have demonstrated student-learning outcomes as well as provided descriptions of service-learning projects and syllabi. However, limited research has been conducted exploring the effects of service-learning on the community. This pioneering study offers preliminary data on the … …American Journal of Economics and Business Administration, Vol. 6, Issue 3 · 8 Dec 2014 · 6,810 accessesView PDFCite
Research ArticleOpen accessIn the abstractFACTORS INFLUENCING MOBILE-LEARNING ADOPTION INTENTION: AN EMPIRICAL INVESTIGATION IN HIGH EDUCATIONNgo Tan Vu Khanh, Gwangyong GimThis study investigates the use of mobile phones and tablets for learning purposes among university students in Vietnam. For this purpose, the research is based on relevant technology acceptance literature and the Technology Acceptance Model (TAM) is proposed to analyze the adoption of mobile devices and smart phones by Vietnam students for accessing course materials, searching the web for information … …Journal of Social Sciences, Vol. 10, Issue 2 · 2 Jul 2014 · 8,623 accessesView PDFCite