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50 articles for “Mobile learning”
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Research ArticleOpen accessPhrase in the titleStudents' Awareness and Requirements of Mobile Learning Services in the Higher Education EnvironmentNaji Shukri Alzaza, Abdul Razak YaakubProblem statement: M-learning is considered as the next generation of e-learning using mobile technologies. Students’ awareness of such technology is one of the most focuses for success adoption. This study aims to investigate students’ awareness and requirements of mobile learning services among Malaysian students in the higher education environment. Approach: The study found that the higher education environment now has … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 26 Jan 2011 · 18,665 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFactors Influencing Student Individual Performance of University XYZ Through the Use of Mobile Learning Management SystemStanley Limonthy, Evaristus Didik MadyatmadjaThis study investigates the impact of unsupervised learning within mobile Learning Management Systems (LMS) on student individual performance at university XYZ, Indonesia. We conducted data collection through online questionnaires distributed to university XYZ students and employed Partial Least Squares Structural Equation Modeling (PLS-SEM) for analysis. Our research extends the information system success model by integrating pedagogical and technological dimensions, specifically … …Journal of Computer Science, Vol. 20, Issue 3 · 27 Jan 2024 · 4,982 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEnvironmental Factors Influence on Mobile Learning BusinessAlireza Nasiri, Guishi DengProblem statement: Recently, there has been growing interest in m-learning consequently emerging m-learning technology is promising technological and educational business. Nevertheless, m-learning is a new business and the different actors are still trialing by ways of a diversity of business models to overcome in able to achieve a sustainable and profitable place in this market. Numbers of m-learning products providers … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 6,967 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Enhanced Dynamic Source Routing Algorithm for the Mobile Ad-Hoc Network using Reinforcement learning under the COVID-19 ConditionsEhsan Moqimi, Amir Najafi, Mojtaba AjamiToday, the use of computer networks is evident in all walks of life, including mobile phones, vehicles, personal computers, the workplace and more. Creating and operating networks between each of the above-mentioned devices require good infrastructure to be able to communicate between these devices. To solve this problem, there were networks called ad-hoc networks, which were able to network with … …Journal of Computer Science, Vol. 16, Issue 10 · 31 Oct 2020 · 6,994 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFACTORS 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
Research ArticleOpen accessEvery word in the titleAn M-Learning System Based on Mobile Phones and Quick Response CodesHend S. Al-KhalifaProblem statement: Many instructors in academia wish to know how much their students understand the content of the lecture; however, doing this manually will be very difficult and time consuming. Similarly, most students have communication problems with their instructors and they wish if they can ask their questions without any fear. So a need for a technology to bridge these … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 6,931 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,660 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMachine Learning-Based Traffic Prediction in 4G LTE Networks. Case Study of a Mobile Operator in CameroonEric Michel Deussom Djomadji, Valery Nkemeni et al.Mobile subscribers are increasingly demanding the availability of broadband services while the radio resources allowing them to be connected are limited. Understanding mobile Internet consumption trends and subscriber traffic demands is essential to enable the management of existing radio resources. However, it can be difficult to understand and describe the data usage patterns of mobile users because of the complexity … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 1 Mar 2025 · 8,728 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleINTELLIGENCE MOBILE AND DIGITAL BROADCASTING TECHNOLOGY TO SUPPORT LEARNING FOR DISABILITIES STUDENTSSettachai Chaisanit, Chiraphorn Chomyim, Samphan ChandeeUsage of mobile digital broadcasting technologies in education is the most important of required technologies to provide main goals in distance education. It offers learning and data accession opportunities to learners notwithstanding time and place. In academic education, it was found that one of the critical problem is the appreciate education tool for disabilities students. Students with special education have … …Journal of Computer Science, Vol. 9, Issue 10 · 18 Sep 2013 · 7,425 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSecuring Mobile Devices from Malware: A Faceoff Between Federated Learning and Deep Learning Models for Android Malware ClassificationNarayan Subramanian, Logesh Ravi, Mithin Jain Shaan et al.Amidst the escalating threats of android malware, urgency mounts to detect issues while safeguarding user privacy. Traditional machine learning and deep learning methods, dealt with scalability challenges and privacy compromises, finding a potential remedy in federated learning. This study introduces a groundbreaking federated learning-based methodology and compares federated learning with traditional deep learning techniques for Android malware classification, employing renowned … …Journal of Computer Science, Vol. 20, Issue 3 · 23 Jan 2024 · 6,284 accessesView PDFCite