123 results for “E-Learning Effectiveness”

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Research ArticleOpen accessEvery word in the titleBig 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 PDF Cite

Research ArticleOpen accessEvery word in the titleDevelopment of Web-Based Electronic Learning System (WELS) in Improving the Effectiveness of the Study at Vocational High School “Dharma Nusantara”Deni Darmawan, Handy Kartawinata, Widya AstorinaThe background of this research question comes from teachers of the vocational high school in Indonesia who are difficulties and not sure apply WEB-Based learning to students of Computer and Network engineering program. To answer that question, researchers are developing a learning model based on Electronic Learning Systems (WELS) web-based. The development process is done through Research and Development Approach. … …Journal of Computer Science, Vol. 14, Issue 4 · 23 Apr 2018 · 8,626 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleModerators of the Effectiveness of Adult Learning Method PracticesCarl J. Dunst, Carol M. TrivetteProblem statement: The purpose of the analyses reported in this study was to identify the moderators of the effectiveness of evidence-based adult learning method practices. Approach: The particular practices that were found most effective in 58 randomized controlled design studies of four adult learning methods were examined to identify the conditions under which learner outcomes were optimized. Results: Thirteen different … …Journal of Social Sciences, Vol. 8, Issue 2 · 18 Feb 2012 · 11,541 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsThe Chain Mediating Role of Technology Self-Efficacy and Attitudes in Online Learning EnvironmentsJie Gao, Dolores D. Borras, Beverly T. CaigaThis study investigates the mediating role of technology self-efficacy and attitudes in online learning environments among university students. Specifically, we examined how students' technology self-efficacy, attitudes toward online learning, and perceptions of course appropriateness influence online learning outcomes. Data were collected via questionnaire survey from students enrolled in public and private universities (N = [specify number]). Structural equation modeling with … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 1,601 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEvaluating E-learning Programs: An Adaptation of Kirkpatrick's Model to Accommodate E-learning EnvironmentsThair M. HamtiniProblem Statement: Kirkpatrick's model for the evaluation of training programs has been a staple in institutional learning since 1959 and is easily applicable to any training program. Approach: This model, however, was developed for traditional learning environments and has been regarded as antiquated, especially when one took into consideration the fact that institutional learning has increasingly taken on the form … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 7,957 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDeep Learning Analysis of Drug Reviews: Identifying Patient Conditions, Predicting Drug Ratings, and Sentiment AnalysisRafat Hammad, Mohammad Ashraf Ottom, Ayah Bani BakerUnderstanding patients' experiences with medications is essential for improving drug effectiveness, detecting potential side effects, and enhancing overall patient satisfaction. This research investigates applying machine learning to patient drug reviews across three main tasks: Identifying patient conditions, predicting drug ratings, and performing sentiment analysis. We implemented and evaluated Convolutional Neural Networks (CNNs), Artificial Neural Networks (ANNs), and Recurrent Neural Networks … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 736 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 999 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Novel Crow Search Optimization Based Feature Selection With Optimal DNN for Big Data ClassificationC. Mahesh, J. Ruby Elizabeth, S. Gnana Selvan et al.Big data analytics has become popular due to its applicability in various real-time applications. To attain better performance, big data can be analyzed using the machine learning and deep learning models at recent times, various domains have started to deal with big dataset which involves numerous sets of features. Repetitive and unwanted features, which reduces the classification performance can be … …Journal of Computer Science, Vol. 22, Issue 6 · 30 Jun 2026 · 1,244 accessesView PDF Cite

Research ArticleOpen accessIn the abstractLeveraging Machine Learning Techniques to Analyze Consumer Mindset Metrics Embedded in Arabic Dialect Texts Across Social Media PlatformsSafa Khaled Al Sarairah, Mohd Heikal Husin, Noor Farizah IbrahimAs social media grows in popularity around the world, analyzing Arabic texts on these platforms can provide important insights into consumer attitudes and behavior. The complexity and diversity of Arabic and its dialects, however, make it a challenging task. This research raises these challenges by using and comparing the performance of Machine Learning (ML) models for classifying social media comments … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,301 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMoney Laundering Detection in Financial Institutions Using Machine LearningNoor Samer Masood, Rasha Hassan Sakr, Amal Abou EleneenThis research aims to develop a system based on machine learning techniques for the accurate detection and classification of money laundering transactions. This system utilizes real and synthetic financial data, including the IBM AML dataset and synthetic financial databases. The methodology included data collection and cleaning, feature extraction from transaction behavior, and training several classification algorithms, including Random Forest, Support … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 2,325 accessesView PDF Cite