The rapid expansion of online education has intensified the need to investigate the multifactorial determinants of university students' satisfaction with digital learning platforms. While prior studies have often examined technical or pedagogical com...
In this study, in addition to traditional variables such as economic wealth or the number of books read, on which many studies have already been conducted, variables that are thought to influence student achievement and better predict success are ide...
Mental stress is a prevalent issue in modern society, and detecting and classifying it accurately is crucial for effective interventions and treatment plans. This study aims to compare various machine learning (ML) algorithms for detecting mental str...
The capability of ChatGPT to understand and generate human-readable text has prompted the investigation of its potential as mental health assessment tools. This study aims to explore the validity of ChatGPT in assessing loneliness and online social s...
The assessment of Intercultural Competence (IC) is increasingly recognized as an essential component of students' professional competency development in higher education settings. This study looks at the objectives of creating ICC and offers an asses...
PURPOSE: This study examines how social support influences adolescents' autonomous physical learning behavior, exploring the mediating roles of self-efficacy and exercise motivation, and the moderating effects of gender and behavioral typologies. The...
Predicting student performance is crucial for providing personalized support and enhancing academic performance. Advanced machine-learning approaches are being used to understand student performance variables as educational data grows. A big dataset ...
With the integration of educational technology and artificial intelligence, personalized learning has become increasingly important. However, traditional educational data mining methods struggle to effectively integrate heterogeneous feature data and...
Although student dropout is an inevitable aspect of university enrollment, when analyzed, universities can gather information which enables them to take preventative actions that mitigate dropout risk. We study a data set consisting of 4,424 records ...
Academic achievement is an important index to measure the quality of education and students' learning outcomes. Reasonable and accurate prediction of academic achievement can help improve teachers' educational methods. And it also provides correspond...
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