This study introduces an optimized ensemble deep neural network (Optimized Ensemble Deep-NN) to enhance the accuracy of predicting student grades. This model solves the problem of different and complicated student performance data by using deep neural networks, ensemble learning, and a number of optimization algorithms, such as Adam, SGD, and RMS…

This study aims to explore the significant variables affecting online knowledge-sharing and the hierarchical structure, from the perspective of online learners. To comprehensively discuss the relationship between these variables, binary logit regression and interpretative structural model (ISM) was used. Based on literature analysis, the data of…

The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…

Selecting undergraduate majors or specializations is a crucial decision for students since it considerably impacts their educational and career paths. Moreover, their decisions should match their academic background, interests, and goals to pursue their passions and discover various career paths with motivation. However, such a decision remains…

The interest in metaverse technology has risen notably in higher education learning contexts. Due to the global spread of the Covid-19 pandemic, higher education institutions are now increasingly emphasising online interactive learning. Higher education institutions are currently investigating the potential of metaverse technology to enhance…

Artificial Intelligence (AI) has been exerting a revolutionary and profound impact on the teaching of English as Foreign Language (EFL) for decades. In spite of these acknowledged advances, teachers have numerous reservations and objections against the adoption of AI-based applications. In order to facilitate the proper use and produce an…

Forecasting the enrollments of new students in bachelor's systems became an urgent desire in the majority of higher education institutions. It represents an important stage in the process of making strategic decisions for new course's accreditation and optimization of resources. To gain a deep view of the educational forecasting context, the most…

Cloud service is an emerging technology in Higher education institutions (HEIs). However, while providing this technology, quality of service (QoS) not given sufficiently important attention especially from the HEIs and decision makers. In this research, previous QoS models and frameworks are reviewed of researches done in this field are…

Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…

The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic…

Social networking sites have played an important role in enhancing students' social presence. As an educational tool for online courses, they have significantly contributed in promoting students' motivation for learning. The aim of this research is to investigate the impact of social networking sites on students' academic performance. We conduct a…

This study investigated the ability of the demographic and the affective variables to predict the adult learners' decision to continue ESOL courser. 278 adult learners, enrolled on ESOL course at FLS institution in Istanbul, Turkey, participated in the study. The result showed that the continued or dropped out groups, demonstrated statistical…

Digital badges are quickly becoming an appropriate, easy and efficient way for educators, community groups and other professional organisations, to exhibit and reward participants for skills obtained in professional development or formal and informal learning. This paper offers an account of digital badges, how they work and the underlying…

CBT (computer-based training) can benefit from the modern multimedia tools combined with network capabilities to overcame traditional education. The objective of this paper is focused on CBT development to improve strategic decision-making with regard to air command and control system for NATO staff in virtual environment. A conceptual design for…