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…

The study intended to describe profiles of three achievement emotions (enjoyment, boredom, anxiety), their associations with each other and with control-value appraisals within the framework of the control-value theory. A total of 2002 Chinese university EFL students from 11 universities in China participated in the questionnaire survey.…

This study investigated college students' career maturity as a mediator of the effect of professional identity on academic achievement. The researchers developed a structural equation model and a research hypothesis using the Chinese college students' professional identity scale, career maturity scale, and academic achievement scale. After…

The relationship between peer support and academic engagement has been widely explored. However, scarce research examined this relationship for college students, and little was known about the underlying mechanism under this relationship. This study aimed to examine the effect of peer support on academic via the mediation of academic motivation…

Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…

The objective of this paper is the design of a predictive model of students' desertion in Educational Institutions based on the Analytic Hierarchy Process (AHP). The proposed model is based on a weighted sum of individual probabilities of desertion associated with various factors (explanatory variables) by experts in the combined use of the AHP…

This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college students spanning 11 years (from 2009 to 2019) provided…

The COVID-19 pandemic has affected the way we learn, teach and support students in many different ways. In particular, the impact of the pandemic on the mathematical capabilities of students arriving at university is now starting to be seen and reported. Students arriving at UK universities in 2021, and having completed their A levels in 2021, had…

The connection between grit and achievement in a variety of areas is well documented. Nevertheless, the factors that affect domain-specific academic grit and the relationship of these factors to academic achievement still require clarification. The present study aimed to explore the contribution of three main categories of variables: subjective…

In recent years, e-learning engagement has attracted much attention because the COVID-19 pandemic has forced schools to shift to online teaching without preparation. Therefore, based on the ecological system theory, this study investigates the relationship between subjective socioeconomic status and e-learning engagement among college 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…

This study examined the effectiveness of online English learning among college students by integrating data from multiple learning behavior sources. The research revealed a bidirectional regulatory relationship between device environment and cognitive strategies, clarified the critical threshold for the regulation of metacognitive strategies, and…

E-learning readiness (ELR) is critical for implementing digital education strategies, particularly in developing countries where online learning faces unique challenges. This study aims to provide a concise and actionable framework for assessing and predicting ELR in Algerian universities by combining the ADKAR model with advanced machine learning…

Recent research has paid considerable attention to the role of university support in explaining student entrepreneurship, with several studies presenting empirical evidence of the moderating effects of individual traits on the relationship between university support and entrepreneurial intentions. However, the moderating effect of entrepreneurial…

The study examined the predictive ability of self-control of academic self-handicapping among university students. The sample of the study consists of (130) students from a public university, selected randomly. To achieve the study objectives, a survey was employed to collect data. It included a self-control scale and an academic self-handicapping…