Purpose: Academic anxiety is a common phenomenon in the college student population, which has an important impact on students' psychological health and academic performance. Therefore, by exploring the effects of college students' professional commitment and achievement goal orientation variables on academic anxiety, it helps to understand…

This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…

Student academic performance prediction is a significant area of study in the realm of education that has drawn the interest and investigation of numerous scholars. The current approaches for student academic performance prediction mainly rely on the educational information provided by educational system, ignoring the information on students'…

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…

University student academic competitions can test students' learning outcomes, improve their academic performance and stimulate their interest in learning. Exploring the behavioural mechanisms influencing students' academic competition is quite important, but there is currently little research on this topic. This study aims to fill this gap in the…

Principal leadership has been widely regarded as a powerful catalyst for school improvement and student learning. This article presents a multivariate meta-analysis of 42 empirical studies, published between 2000 and 2020, that examined the effects of principal leadership on student achievement in the United States. The focus is on the conceptual…

Blended learning (BL) is experiencing significant growth due to the practical needs of business administration tertiary education. As a result, a combination of online and offline teaching has become the "new normal" for students participating in higher education. Employing innovative BL learning models could improve student engagement,…

In the current longitudinal study, we investigated the structure of students' (N = 1,469) specific growth constructs and their broader growth orientation using a bifactor exploratory structural equation model. We also examined the extent to which each of these components was associated with gains in students' academic and nonacademic outcomes…

School effectiveness refers to an educational institution's ability to achieve its predetermined goals, especially regarding student learning outcomes, development, and well-being. Although forming and strengthening partnerships between schools is commonly used to improve school effectiveness, empirical evidence on the connection between school…

Measuring teacher effectiveness has been debated and studied for numerous years. While some progress has been made, consensus has yet to be reached regarding what it means to be an effective teacher and how to measure effectiveness. This study uses administrative data from North Carolina to assess the relationship between school principal…

Background: This study breaks new ground by presenting a new, more sophisticated model of learning engagement that goes beyond the current state of the art embodied in the widely used Affective-Behavioral-Cognitive (ABC) model. This work synthesizes and builds upon neglected lines of research in the structure of affective engagement. It also…

Predicting students' success is crucial in educational settings to improve academic performance and prevent dropouts. This study aimed to improve student performance prediction by combining advanced machine learning (ML) approaches. Convolutional Neural Networks (CNNs) and attention mechanisms were used for extracting relevant features from…

With the advent of closed-circuit television systems (CCTV) in the era of technology, a massive amount of video data is generated daily. CCTV are installed at several educational institutions to monitor students' behavior and ensure their safety. Human activity monitoring is done manually. Abnormal human actions refer to rare or unusual actions in…

An exploratory sequential mixed-method study is designed to develop and test a comprehensive model explaining the relationships between factors associated with smartphone addiction and high school students' academic achievement. Involving two main phases of qualitative and quantitative, focus group discussions with high school students and…

In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…