Higher education institutions recognize that today's problems are too complex to be conceptualized by a single discipline and are becoming increasingly committed to interdisciplinary work, as evidenced by the increasing number of interdisciplinary departments, internal funding opportunities, and research centers. Despite the widespread popularity…

Addressing working conditions in higher education is crucial to retaining student affairs professionals. This study explores the current state of working conditions in the field and the influence working conditions have on professionals' turnover intentions. Perceptions of psychological contract fulfillment is a factor that can interact with…

The role of the department chair is considered one of the most thankless jobs in higher education, but there is surprisingly little research on the daily work-lives of faculty members serving in departmental leadership roles. This study updates the literature by using a national sample of 3,317 associate and full professors serving in department…

Purpose: Numerous studies have been conducted on psychological empowerment's effects on individual and organizational outcomes. This research study investigates the effects of emotional intelligence (EI) on psychological empowerment (PE) directly and indirectly through digital leadership (DL) in higher educational institutions (HEIs) in Pakistan.…

Studying Latin in secondary education is still widespread in Europe and believed to result in cognitive benefits, even beyond the linguistic domain. In this study we explored the relation between such study and later academic achievement in higher education (N = 1,898). First, we demonstrated that Latin students exhibit increased levels of study…

Artificial intelligence in higher education is becoming more prevalent as it promises improvements and acceleration of administrative processes concerning student support, aiming for increasing student success and graduation rates. For instance, Academic Performance Prediction (APP) provides individual feedback and serves as the foundation for…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…

The successful completion of remedial mathematics is widely recognized as a crucial factor for college success. However, there is considerable concern and ongoing debate surrounding the low completion rates observed in remedial mathematics courses across various parts of the world. This study applies explainable artificial intelligence (XAI) tools…

Purpose: In this study, we aim to investigate entrepreneurial intention (EI) among potential entrepreneurs who were students at Pakistan's higher education institutes (HEIs) of technical and vocational education and training (TVET). Design/methodology/approach: We used a quantitative and correlational method in this study, and we based its…

The purpose of this quantitative, correlational-predictive study was to examine if and to what extent the organizational culture trait of involvement (OC-I) predicted authentic leadership behaviors among leaders in higher education in the United States. The theoretical foundation to support the variables and the relationships between them included…

Policymakers and educators have increasingly focused on improving public understanding of climate change to prepare people to tackle its causes and impacts. Researchers have joined these efforts by assessing environmental literacy (EL) and climate change literacy (CCL) to inform policies and educational initiatives. This article systematically…

Evidence on the extent to which dropout intention can serve as a valid predictor of dropout decisions remains scarce. This study first presents the results of a systematic literature review of 14 studies examining the relationship between dropout intention and actual dropout in post-secondary education (vocational education and training [VET] or…

The purpose of this quantitative correlational-predictive study is to examine if and to what extent performance expectancy, effort expectancy, attitude toward using technology, social influence, facilitating conditions, self-efficacy, and anxiety, individually and combined, predict the behavioral intention of U.S. higher education student services…

The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…