The higher the level of development of higher education, the larger its contribution to socioeconomic development. In order to predict the trend of higher education development in a country more accurately, a new methodology is employed in this study. A weakening buffer operator-based GM (1, 1) model is constructed using Kazakhstan's gross…

The assessment process of readiness for adoption an educational system considers the lifeblood of the e-learning system in a particular educational organization and the ability to assess the organization's readiness among the main factors which contributes to the success and progress. The readiness models are instruments that assist educational…

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…

Predicting student performance is crucial in higher education, as it facilitates course selection and the development of appropriate future study plans. The process of supporting the instructors and supervisors in monitoring students in order to upkeep them and combine training programs to get the best outcomes. It decreases the official warning…

The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…

This study aims to evaluate the success of the Student Information System (SIS) using the updated Information System Success Model (IS success model) proposed by Delone and McLean. Survey data were collected from 882 students using SIS at a state university in Turkey. Structural Equation Model analysis was applied through R to analyze the obtained…

Learning systems are widely adopted as educational tools. The success of a learning system depends on the level of acceptance by instructors and learners. Research has identified Education as a Service (EaaS) as a resource that enables instructors and learners to access a new kind of service for learning system, containing: (1) support tools and…

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…

While there is an increasing interest in Augmented Reality (AR) technologies in Primary and Secondary (K-12) Education, its application in Higher Education (HE) is still an emerging trend. This study reports findings from a systematic mapping review, based on a total of forty-five (n = 45) articles published in international peer-reviewed journals…

Digital transformation in the global higher education industry determines the future roadmap to a sustainable education management strategy. This research paper aims to develop a qualitative model that advocates how digital transformation as a propelling force could be used to build competitive advantages for universities. Building competitive…

The key objective of this study was to reveal the key factors that impact university students' continued usage intentions with respect to Learning Management Systems (LMSs). Given the context-dependent nature of e-learning, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and extended with constructs principally…

Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…

Electronic assessment (e-assessment) is an essential part of higher education, not only used to manage a large class size of students' learning performance and particularly in assessing the learning outcomes of students. The e-assessment data generated can not only be used to determine students' study weaknesses to develop strategies for teaching…

The increasing use of, and dependence on, Information Technology (IT) to support operational teaching, research, and management activities in Higher Education Institutions (HEI)--mainly due to their multi-unit organizational structure--have evidenced the need of encouraging managers to focus more on IT Governance (ITG) effectiveness, which has…

Digital technologies are powerful resources that have not been globally integrated in higher education teaching. Previous studies have pointed out several barriers that can slow down this integration. This study, therefore, aims to elaborate an explanatory model of the barriers to digital technology integration into university teaching, including…