Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…

Voice misclassification threatens the vocal longevity and long-term career success of voice students enrolled in higher education (HE) vocal programs. Not every singer possesses the musculature required to support the unique vocal fold density and subglottal pressure necessary to sing repertoire and roles associated with certain voice types…

Classifications are a basic tool for research, which allow summarizing the diversity of objects in a number of categories that fits the cognitive abilities of the human mind. Their relevance for higher education is emphasized by the differentiation of institutional profiles. Yet, unlike in the US, there is currently no classification of European…

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…

Predicting and improving the academic achievement of university students is a multifactorial problem. Considering the low success rates and high dropout rates, particularly in open education programs characterized by mass enrollment, academic success is an important research area with its causes and consequences. This study aimed to solve a…

In this study, we introduce a framework designed to help educators assess the effectiveness of popular generative artificial intelligence (AI) tools in solving authentic assessments. We employed Bloom's taxonomy as a guiding principle to create authentic assessments that evaluate the capabilities of generative AI tools. We applied this framework…

The Higher Colleges of Technology (HCT) has developed and deployed a set of distinctive and dynamic capabilities in alignment with the UAE national agenda. These capabilities drive an ambitious strategy that anticipates and ensures future readiness; creates student-centric value; enables and empowers human capital; exploits the full potential of…

This report provides information on the structure of mainstream European education systems, from pre-primary to tertiary level for the 2022/2023 school and academic year. It includes national schematic diagrams and a guide to reading the diagrams. It also contains a map visually showing the main organisational models of primary and lower secondary…

The Swedish system of research funding has undergone major changes, while competitive funding schemes gradually have gained popularity, at the expense of institutional block grants. In recent years, there has been a strong drive to improve research performance in universities as a result of governmental desires, resulting in performance-based…

The themes in higher education research in different countries vary to some extent. This research takes 15 SSCI journals of higher education as examples. A scientometric method was used to classify the themes in higher education research, and a vector space model was employed to calculate the similarities in different countries active in the…

Purpose: The purpose of this paper is to review three international frameworks, including the International Standard Classification of Education (ISCED), in relation to one country's higher professional and vocational education system. Design/methodology/approach: The frameworks were examined in the context of English higher work-related…

The purpose of the current study is to shed a light on institutional internationalization efforts and undergraduate students' global learning outcomes in four-year higher education institutions in the United States exploring the topic at the student, institutional, and academic-major levels. Specifically, three research questions lead the study:…

Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might…

We apply the gravity model of international trade to country-level panel data on branch campus establishments and closures from 2007-2016. Accordingly, we arrive at the first elasticity estimates of the determinants of international trade in branch campuses, contributing to research in higher education and international trade in services. Our…

Transnational education (TNE), interpreted as the mobility of education programs and providers between countries, has dramatically changed in scope and scale during the last decade. New actors, new partnerships, new modes of delivery, and new regulations are emerging. This has resulted in a proliferation of TNE terms and mass confusion in how they…