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  • Open Access


    Optimization of Interactive Videos Empowered the Experience of Learning Management System

    Muhammad Akram1, Muhammad Waseem Iqbal2,*, M. Usman Ashraf3, Erssa Arif1, Khalid Alsubhi4, Hani Moaiteq Aljahdali5

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 1021-1038, 2023, DOI:10.32604/csse.2023.034085

    Abstract The Learning management system (LMS) is now being used for uploading educational content in both distance and blended setups. LMS platform has two types of users: the educators who upload the content, and the students who have to access the content. The students, usually rely on text notes or books and video tutorials while their exams are conducted with formal methods. Formal assessments and examination criteria are ineffective with restricted learning space which makes the student tend only to read the educational contents and videos instead of interactive mode. The aim is to design an interactive LMS and examination video-based… More >

  • Open Access


    Optimal Machine Learning Enabled Performance Monitoring for Learning Management Systems

    Ashit Kumar Dutta1,*, Mazen Mushabab Alqahtani2, Yasser Albagory3, Abdul Rahaman Wahab Sait4, Majed Alsanea5

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2277-2292, 2023, DOI:10.32604/csse.2023.028107

    Abstract Learning Management System (LMS) is an application software that is used in automation, delivery, administration, tracking, and reporting of courses and programs in educational sector. The LMS which exploits machine learning (ML) has the ability of accessing user data and exploit it for improving the learning experience. The recently developed artificial intelligence (AI) and ML models helps to accomplish effective performance monitoring for LMS. Among the different processes involved in ML based LMS, feature selection and classification processes find beneficial. In this motivation, this study introduces Glowworm-based Feature Selection with Machine Learning Enabled Performance Monitoring (GSO-MFWELM) technique for LMS. The… More >

  • Open Access


    Intelligent Student Mental Health Assessment Model on Learning Management System

    Nasser Ali Aljarallah1,2, Ashit Kumar Dutta3,*, Majed Alsanea4, Abdul Rahaman Wahab Sait5

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1853-1868, 2023, DOI:10.32604/csse.2023.028755

    Abstract A learning management system (LMS) is a software or web based application, commonly utilized for planning, designing, and assessing a particular learning procedure. Generally, the LMS offers a method of creating and delivering content to the instructor, monitoring students’ involvement, and validating their outcomes. Since mental health issues become common among studies in higher education globally, it is needed to properly determine it to improve mental stability. This article develops a new seven spot lady bird feature selection with optimal sparse autoencoder (SSLBFS-OSAE) model to assess students’ mental health on LMS. The major aim of the SSLBFS-OSAE model is to… More >

  • Open Access


    Developing Engagement in the Learning Management System Supported by Learning Analytics

    Suraya Hamid1, Shahrul Nizam Ismail1, Muzaffar Hamzah2,*, Asad W. Malik3

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 335-350, 2022, DOI:10.32604/csse.2022.021927

    Abstract Learning analytics is an emerging technique of analysing student participation and engagement. The recent COVID-19 pandemic has significantly increased the role of learning management systems (LMSs). LMSs previously only complemented face-to-face teaching, something which has not been possible between 2019 to 2020. To date, the existing body of literature on LMSs has not analysed learning in the context of the pandemic, where an LMS serves as the only interface between students and instructors. Consequently, productive results will remain elusive if the key factors that contribute towards engaging students in learning are not first identified. Therefore, this study aimed to perform… More >

  • Open Access


    An Efficient Utilization of Blackboard Ally in Higher Education Institution

    Ahmad Almufarreh, Muhammad Arshad*, Sameer Hassan Mohammed

    Intelligent Automation & Soft Computing, Vol.29, No.1, pp. 73-87, 2021, DOI:10.32604/iasc.2021.017803

    Abstract Without the constraints of time and place, e-learning can offer a strong learning environment. The notion of e-learning has taken on a new sense with the advent and popularization of mobile devices and ubiquitous computing, enabling students to have access to several diverse opportunities for communicating with e-learning programs. Around the same time, it has prompted the course’s planners to select the most suitable technology from among the various innovations required for the storing and dissemination of information representation. As a Learning Management System (LMS), the Blackboard system now has a recognized role in the knowledge management of the education… More >

  • Open Access


    Exploring Students Engagement Towards the Learning Management System (LMS) Using Learning Analytics

    Shahrul Nizam Ismail1, Suraya Hamid1,*, Muneer Ahmad1, A. Alaboudi2, Nz Jhanjhi3

    Computer Systems Science and Engineering, Vol.37, No.1, pp. 73-87, 2021, DOI:10.32604/csse.2021.015261

    Abstract Learning analytics is a rapidly evolving research discipline that uses the insights generated from data analysis to support learners as well as optimize both the learning process and environment. This paper studied students’ engagement level of the Learning Management System (LMS) via a learning analytics tool, student’s approach in managing their studies and possible learning analytic methods to analyze student data. Moreover, extensive systematic literature review (SLR) was employed for the selection, sorting and exclusion of articles from diverse renowned sources. The findings show that most of the engagement in LMS are driven by educators. Additionally, we have discussed the… More >

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